Download - SPSS Schweiz

HEALTHCARE

ANALYTICS

www.dynelytics.com

SPSS Software for healthcare

the iBm sPss software palette is also the first choice in the field of health

DynelyticSServiceS & SolutionS

● médecins sans Frontières ● Kieser training● UnHcR ● Klinik wil…online medical register of:● Heart attack patients ● High blood pressure ● Bile duct carcinoma ● in Vitro Fertilisation…

SPSS Schweiz is now

Dynelytics

2 dynelytics | HealtHcaRe

More than 15 years of

experience in data analysis*

our healthcarecustomers

Dynelytics (formerly SPSS Schweiz) includes insti-

tutions from all healthcare fields as its customers, be

they users of IBM SPSS software, or users of Dyne-

lytics Healthcare Analytics Services. For example:

Practically all Swiss canton hospitals and all university clinics, for example Aarau, Basel, Bern, Geneva, Lausanne, Lucerne, Schaffhausen, Winterthur, Zurich, etc.

Most Swiss private hospitals and specialised clinics

Large health insurance funds

Associations such as Santésuisse, FMH, H+ Swiss Hospitals, etc.

Numerous canton and federal offices, for example the federal health agency (BAG)

Leading medical and pharmaceutical firms

National and international non-profit organisations such as WHO, UNHCR, IOM, Red Cross, Médecins Sans Frontières

A number of group practices

* also as SPSS Schweiz

HEALTHCAREANALYTICS

3dynelytics | HealtHcaRe

dynelytics in the healthcare field

Software and services

For statistical data analysis, reporting

and online data collection

Data analyses and evaluations play a bigger role than ever before in medical research. They are becoming increasingly important in all fields of healthcare, for quality assurance, caring sciences, medical registers or for patient and outcome surveys.

Increasingly more data is being collected and increasin-gly large quantities of data are available. This makes it all the more important to process data into meaningful reports and to extract the right analytical knowledge, so it can be used by all partners concerned in the health-care field – whether for patients or for health service providers.

As a specialist in statistical data analysis, data mining and online data collection, Dynelytics AG has been offe-ring software and services for the medical sector for over 15 years. Dynelytics AG was known as SPSS (Schweiz) AG for 15 years and is the IBM partner in Switzerland for the entire IBM SPSS software palette. We license, support and provide training in the entire SPSS stan-dard software range.

In the present brochure, we report on software tools and services, which professionalise data analysis and collec-tion in the medical field and which are also worthwhile for smaller institutions.

data analysis software for healthcare4 IBM SPSS Software from Dynelytics

5 SPSS Statistics The classic

5 SPSS Data Collection professional data collection standard

services & solutions6 Dynelytics Healthcare Analytics Services & Solutions

7 „SPSS Statistics in medicine“ course

customer cases9 The University of Basel‘s Institute of General Practitioners Hypertension data online

10 AMIS Plus Online analysis for the Swiss heart attack register

12 Bile duct carcinoma register Analytics portal for worldwide research

14 Kieser Training Using statistics to fight back pain

16 Klinik Wil Simplified patient administration

18 Médecins sans Frontières Assessment with SPSS Statistics

20 UNHCR refugee organisation Coaching for tailor-made reports

22 FIVNAT In Vitro Fertilisation (IVF) Analytics Online Platform

Background26 Better quality and greater efficiency in healthcare thanks to predictive analysis

a preview of the future31 Ad-hoc analyses with data mining tools


The private sector, government au-thorities and all universities are also largely based on SPSS software, due to it being very user-friendly and quick to manage thanks to advanced menu navigation and interactive help.

The advantages of IBM SPSS statistic and data mining software include:

• Simple reading and processing of usual data formats.

• Quick, stable and reliable hand-ling of very large quantities of data.

• Validated and documented algo-rithms.

• Presentation-quality results.

• Integration with existing databa-se systems.

• Constant expansion and with ful-ly developed server versions.

• Openness - for example R and Python can be integrated.

Software

Our online data collection software can also be fully automated and allows bespoke applications to be readily implemented. SPSS Software is used widely in the healthcare sector. Whether for medical research, quality assurance in hospitals, patient surveys, bench-marking or assessment of billing data by health insurance funds: numerous hospitals, clinics, health insurance firms, pharmaceutical firms, healthcare associations and organisations are among Dynelytics‘ customers. ●

we would be happy to introduce you to iBm sPss software personally.contact us on: [email protected]

iBm sPss software from dynelyticsfor all healthcare matters

The SPSS software palette, which now belongs to the IBM portfolio, has been a

global standard in research and industry for statistical data analysis, data mining

and online data collection for decades.


IBM SPSS Statistics offers comprehensive statistical functions, integrated cartographic evaluation possi-bilities, and user-friendly assistants that speed up and simplify data analysis.

Compared to other statistics programs, IBM SPSS Statistics is significantly more user-friendly, characterised by lower overall operating costs and covers the entire analysis process including planning, data collection, analysis, creation of reports and presentations.

Alongside SPSS Base there are 14 additional modules.

• With the SPSS Advanced Statistics module, you can use modern survival probability analysis techniques: mortality rates, Kaplan-Meier tech-niques and Cox-Regression. IBM SPSS Advanced Statistics offers GLMM (Generalized Linear Mixed Model), GLM (General Linear Model), procedures for mixed models, GENLIN (Generalized Linear Model) and GEE (Generalized Estimating Equa-tions) procedures.

• Other additional SPSS modules often used in healthcare are SPSS Custom Tables for attractive contingency tables of survey and treatment data, and

• SPSS Regressions to implement logistic regressions. ●

It is used all over the world in hospitals, banks, insurance firms, telecoms firms, statistical offices and business schools.

SPSS Data Collection is a whole product family in one:

• Data Collection Author is ideal for the easy creation of complex question-naires.

• Data Collection Web Interviews or Pho-ne Interviews are server solutions for hosting and implementing online data collection or telephone surveys.

• Interviewer Desktop is the solution for locally creating questionnaires on one PC or for mobile entry of interviews using a laptop or tablet PC, with or without Internet connection.

• Data Collection Survey Reporter is the tool for professional reporting of survey data – indispensa-ble when quick and easy tables and graphics need to be produced in a printable layout. ●

the classic:sPss statistics sPss data collection

For furtherinformation onour software:

dynelytics.com

Software

IBM SPSS Statistics is the most suitable

statistic software for companies, admi-

nistrations, research organisations and

training institutions.

IBM SPSS Data Collection is a com-

plete and stable online survey and data

collection solution developed for the

professional survey industry.


• For example, for the creation and administration of patient data, including automatic analy-ses and reports – directly integ-rated in the clinic‘s IT system.

• We implement medical registers with data collection, reporting and benchmarking, which can be used without the need for software installation, locally or on our servers in the DyneCloud. Due to their low cost, they are also of interest for small and medium institutes.

• Upon request, we can expand re-porting solutions with predictive analytics. Results, for example automated scores, can be used locally or in the DyneCloud. These dynamic analyses can be based on conventional statis-tics (for example, regression, clustering, GLM, etc.) or on data mining models.

• For a number of institutes, we implement in-house online sur-vey systems for clinical studies, automatic health surveys and market research projects.

ServiceS & SolutionS

• We ensure that large quantities of data from clinical systems or surveys are easy to understand and presented attractively. With data mining, concealed know-ledge can be extracted from data and used, for example, for predicting the development of illnesses.

• Often data comes through our „Data Clinic“ first: we control data quality and suggest ways to optimise it. In this way we clear up questions such as: Are the values plausible and reliable? Are many values missing and how can they be replaced? In diffe-rent departments, are similar data measured in the same way? Where does it make sense to calculate new indicators? Dynelytics examines the data in the “Data Clinic” with the latest methods, also using data mining algorithms such as cluster analy-ses, decision trees, association rules and sequence functions.

• One of our specialities is quick ad-hoc analyses of very complex data structures. Business Intel-

* Read our customer cases▶ www.dynelytics.com >> Business services

as well as in the present brochure from page 9 on

ligence (BI) solutions are today standard in companies and in the health sector and are a part of the infrastructure. But incre-asingly often, analytical requi-rements arise, which were not considered when designing the BI solution and which cannot be satisfied, or only with great difficulty, by BI data sources. This is where Dynelytics steps in: We have long-standing experi-ence of bringing different data (e.g. BI basis data) together with other sources and of processing complex results, in short time frames. In this way, new analyti-cal requirements can be quickly met and central questions can be answered.

• In addition, we offer our cus-tomers support, training and coaching, tailor-made and in several languages.

• In our DyneCloud, you can secu-rely carry out your online data collection, online analyses and online reports, without having to worry about any system. ●

dynelytics Healthcare analytics:successful use of services andsolutions in many institutionsWe have been implementing analytical solutions* for over 15 years in

the health sector:


The course includes medical case studies and covers the most com-mon in-depth data analysis tech-niques used widely in medicine. This includes, for example, survival probability analysis according to Kaplan-Meier.

The course presupposes basic know-ledge of working with SPSS.

Course content and objective:

• Knowledge of simple statistical elements required for your data analyses

• Understanding of the methods of univariate and bivariate descrip-tive statistics

• Use of Chi-Quadrat-Test, T-Test and variant analysis

training

IBM SPSS Statistics is the most used software in the

world for data assessment and statistical analyses.

The „SPSS Statistics in medicine“ course is a 1-day

course designed for people who want to carry out

statistical assessments with SPSS Statistics in the

medical field.

„sPss statistics in medicine“course

• Learn how to apply the Kaplan-Meier survival probability analysis.

We organise this and other courses in English or French in our offices in Zurich, or as individual on-site training according to your require-ments. ●

ContaCt uS For DetailS at

[email protected]

We have been organising trainings for SPSS users in the

medical field for over five years.


theWho‘S Who in

the healthCare BranCh

cuStomer caSeSHow our customers use our services and software


Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics Programming Dynelytics Support DyneCloud

Almost fifty percent of general practitioners‘ patients have hyper-tension. But in Switzerland, no data is collected directly from GPs on patient characteristics, treat-ment strategies and history data on hypertension and cardiovascular risk management. This was why the University of Basel‘s IHAM, on the initiative of Professor Dr. Benedict Martina and Professor Dr. Peter Tschudi, set about building a central databank in 2005 in colla-boration with Dynelytics (formerly SPSS Schweiz). The purpose of the hypertension databank is to create a GP pool in which to enter data, medication and progress on hypertension. In the meantime, it comprises detailed data of around 1,000 GP patients with high blood pressure.

The core element of the patient administration database and tool and compiled data is the web-based IHAM CaseManager, developed by Dynelytics for IHAM. In order to be able to work with it, the user sim-ply requires an Internet browser, Internet access and a personal user account.

The University of Basel‘s Institute for General Practitioners (IHAM) collects pa-

tients‘ data online. The core element of the patient administration database is the

web-based IHAM CaseManager, developed by Dynelytics for IHAM.

Access to individual functions and data is defined automatically via this user account. In this way, doc-tors only have access to their own patients‘ information, while IHAM employees can establish other new users, download all data and carry out further analyses with SPSS Statistics. As confidential, sensitive data is shared over the Internet, data transmission is encrypted.

An interface to SPSS Data Coll-ection Web Interviews, the online data collection tool by SPSS, is di-rectly integrated, which is used by participating GPs to enter relevant basic, diagnostic and therapy data and updates on their hypertension patients. For every patient there is an initial entry, consisting of basic data, and a yearly update, where the doctor only enters changes in relation to the previous year. To remind the doctor, the IHAM Case Manager sends every doctor an automatic email when it is time to update a patient‘s file.

With the database, the GP can analyse his data, accessible only to him, and compare it anonymously. This makes it possible to detect

Hypertension data direct from the GP

obstacles in managing cardiova-scular risk factors and research them. According to Professor Dr. Martina and Professor Dr. Tschudi, the strengths of the GP database include:

• national scope,

• reliable data entry by GPs,

• the possibility of a plausibility check through the data center,

• that not only cross-sectional but also sequential data can be collected,

• along with the possibility of being able to quickly analyse large patient numbers. ●

CuStomer CaSe

A Acute M Myocardial I Infarction in S Switzerland


AMIS Plus is the National Registry of Acute Myocardial Infarction in Switzerland and collects data on heart attacks and similar heart diseases. AMIS is located in the Institute for Social and Preventi-ve Medicine at the University of Zurich.

Around 50 hospitals continuously record over 200 characteristics of heart patients in AMIS, including socio-demographic information, risk factors (such as smoking, obesity, diabetes), symptoms, laboratory findings and informati-on on medication and treatments in hospitals. Since summer 2003, this data has been entered via the Internet with SPSS online data

„Because specialists in cardiology departments have direct access to data and can

compare their own patients with those from other hospitals for the purpose of

benchmarking, new knowledge regarding treatment and medication will be

implemented much more quickly into daily practices.

And thanks to Dynelytics‘ know-how – our long-standing partner for online data

collection and analysis – it is possible for us to track the treatment of patients

with acute coronary syndrome and optimise their progress.”

Dr. Dragana Radovanovic, Head of the AMIS Data Center.

collection software, mostly directly by the hospitals in question. Over the years, questionnaires and data entries have continually been adjusted and improved, in order to take into account advances in patient treatment.

Since it was founded in early 1997, AMIS has collected data on over 36,000 patients. The register should above all guarantee medical quality, and therefore, for example, check to what extent national and international medical guidelines on treatment are followed. The assess-ment of risk factors and therapy strategies, as well as analyses of patient groups that do not undergo much clinical research, are also part of the brief. Thanks to AMIS data, we now know more about Swiss heart attack patients and can also carry out targeted prevention campaigns. Since 2005, follow-up questionnaires on well-being and

swiss coronary register, amis Plus, with new real-time reporting

checks on patients’ progress have been integrated into AMIS.

new solution by dynelytics speeds up real-time online reportingThanks to the Switzerland-wide patient comparison, the register has long been a valuable instrument for improving quality. Important components include user-friendly online data entry, as well as online reporting functions.

In 2011, Dynelytics programmed a new, enhanced reporting solution for the AMIS Plus project on the AMIS homepage. The new solution calculates significantly more quickly than before and produces attractive graphics, which gives a better view of the data. Authorised users can access their data in real time and compare them with all AMIS data. Online reporting makes it possib-le to calculate frequency counts,

CuStomer CaSe


contingency tables, graphics, etc., in real time simply via a browser. Of course filters can be defined, groups selected and tables redesigned with a simple click of the mouse. With this new technology, no pre-pro-cessed outputs represented, results based on individual requests by users over the Web are newly calcu-lated thanks to data being updated daily.

Today, via remote access, Data Center employees download newly entered cases from the AMIS server at least once a week, check the data, adjust it if necessary and then upload the full record onto the server again for online reporting. This interface was programmed by Dynelytics in accordance with the individual requirements of the pro-ject. Access to online data entry and online reporting is simple for skilled hospital staff: They can connect to the page www.amis-plus.ch and then click either on “Data Entry” or “Reporting System”, enter their password and get started.

new knowledge can be quickly passed onDr. Dragana Radovanovic, Head of the AMIS Data Center, is con-vinced of the advantages of the new reporting solution: „Be-cause specialists in cardiology departments have direct access to data and can compare their own patients with those from other hospitals for the purpose of benchmarking, new knowledge regarding treatment and medica-tion will be implemented much more quickly into daily practices.“ In this respect, doctors are more motivated to enter their own data, in the knowledge that within a short space of time the results

will be available to them again for analysis.

Dr. Dragana Radovanovic is very satisfied with the work of Dy-nelytics: “Thanks to the know-how of Dynelytics, our long-standing partner for online data collection and analysis, it is possible for us to track the treatment of patients with acute coronary syndrome and optimise their progress.” ●

Dr. Dragana Radovanovic, Head of the AMIS Data Center:

“Thanks to AMIS data, we now know more about Swiss heart attack patients and can also carry out targeted preven-tion campaigns.”

Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics Programming Dynelytics Training Dynelytics Support DyneCloud

thanks to the Switzerland-wide

patient comparison, the register has long been a va-luable instrument for impro-ving quality. important com-ponents include user-friendly online data entry, as well as

online reportingfunctions.

CuStomer CaSe


Cholangiocarcinoma is a malig-nant tumor of the bile ducts (drain bile from the liver into the small intestine). Most patients with such tumor present with jaundice due to obstruction of the biliary tree. In case of prolonged biliary obstruc-tion, hepatocellular dysfunction, progressive malnutrition, coagulo-pathy, pruritus, renal dysfunction, and cholangitis may occur. Perihilar cholangiocarcinoma is one of the most challenging diseases with poor overall survival.

newly developed staging sys-tem to improve therapyThe major barrier to compare results among centers and identify the best therapies according the type and extent of the disease is the lack of a reliable staging system.

„First of all, I‘d like to congratulate the team for the support and to say I loved

the picture upload system. It is beautiful. Thanks a lot!“ Dr. Michelle de Oliveira,

Chair of the Scientific Committee

A group of leading medical doctors from Zürich, Nagoya, Baltimore, Rochester, and Berlin designed a new system reporting on the size of the tumor, extent of the disease as well as other factors. Once this new staging system was developed, the group of experts commissioned Dynelytics to create an online system to collect and manage data of persons with Perihilar Cholangiocarcinoma. The availability of such a Committeere-gistry with standardized and multi-centre data will make it possible to identify the critical criteria which will be used to guide therapy.

The board and the scientific com-mittee are both chaired by experts working at the University Hospital of Zürich: Prof. Dr. Pierre-A. Clavien and Dr. Michelle de Oliveira.Goals of the Perihilar Cholangio-

worldwide online registry for cholan-giocellular carcinoma relies on the Healthcare analytics solutionby dynelytics

carcinoma International Registry (CholangioCa Registry) are:

• To maintain a worldwide registry including patients undergoing resection or liver transplantation

• To develop a relevant staging system based on standardize registry data report

• To correlate tumor characteris-tics with resectability, survival and prognosis

• To identify criteria for guiding therapy including surgery and liver transplantation.

All hospitals worldwide operating on patients with perihilar cholangio-carcinoma are eligible. Participants in these hospitals can enter data directly online. Data entry can be carried out with all usual browsers and no additional software is requi-red. The only requirement is online registration by the participant physician and/or hospital. Then, a

CuStomer CaSe


login and password will be provided by the data center at the University Hospital Zürich.Confidentiality for patient data will remain highly secured. Data are collected on demographics, symp-toms, laboratory results, imaging work-up, interventional therapy, surgery, complications, pathology data and survival.

Healthcare analytics portal bydynelyticsThe technical part of the Cholan-gioCa Registry was designed by Dynelytics. The solution consists of professional data collection software and a tailored environment to ma-nage and analyse the entered data. The applied standard software “IBM SPSS Data Collection Interviewer Web” makes it possible, for example, to reopen and complete data sheets that have only been partially filled out and enables authorised persons to view and process their respective open case files.

Of note, two questionnaires are available: one for patient inclusi-on (General Form) and a second one for following-up after hospital discharge (Follow-up Form). Patient follow-up should be updated at least every 6 months. In case of missing data, a reminder will be automati-cally sent to the responsible physici-an/hospital.

Dynelytics implemented an HTML interface as web portal for the management of registered users, patients, questionnaires and open cases. The web portal controls access to the different activities and data through an individual login and password and via roles assigned to authorised users. Data concer-ning other users cannot be seen.

The CholangioCa Registry is hosted securely on Dynelytics’ servers in Switzerland, in the DyneCloud. Sponsors and users have no respon-sibilities concerning installation and operation of the software.

The registry allows Dr. Michelle de Oliveira from University Hospital Zürich, the hospital in charge, to download and analyse all entered cases with SPSS statistical software. The international scope of the regis-try is especially helpful for medical research since there are very few newly diagnosed cases of this dange-rous cancer per country and year.

Using pictures to better under-stand the patientsOn special request, Dynelytics pro-grammed within the web portal a solution for uploading up to 7 pictu-res per patient (from MRI, compute-rised tomography, cholangiography, surgery). It is even possible, within the uploading process, to mark and highlight interesting parts of the pictures.

If a doctor clicks on the list of visits on the PDF symbol shown, she or he will see a PDF of the form of that very visit with all relevant patient data and uploaded pictures.

Dr. Michelle de Oliveira was im-pressed: “First of all, I‘d like to con-gratulate the team for the support and to say I loved the picture upload

system. It is beautiful. Thanks a lot!”

In the future, the Healthcare Analytics solution shall also include online statistics and benchmarking functions to compare and visualise the data of all entered patients. ●

Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics Programming DyneCloud

CuStomer CaSe


Strength training? Isn‘t that for lanky youths who want to build up their muscle, or for heavy youths? Wrong. This image is outdated. Today, it is common knowledge that strength training should be practised by every man and woman, young and old. Between the age of 25 and the day we die, our body loses 30 to 40 % of its muscle mass. If we take no remedial action, mus-cles are replaced by connective and fatty tissue. Werner Kieser has done something about this muscle reduction and developed from scratch a muscle training franchise system, which now has around 303,000 customers and 150 training establishments worldwide. „I go to Kieser“ has become a synonym for strength training in Switzerland. Werner Kieser developed his system based on the following consideration: muscle reduction is not an ageing

Kieser Training has also been working with IBM SPSS online survey software

since 2009. SPSS Data Collection Web Interviews is not just efficient for online

customer surveys, but also for scientific studies used for internal communication

with the many Kieser Training branches and for personal surveys.

process, but more often the result of a passive attitude and lack of exercise. However, movement on its own is not enough to keep the body working properly. The quality of the exercise depends upon the resistance it overcomes. Regulating this resistance with great accuracy and then applying it for preventive or therapeutic purposes is the aim of Kieser Training.

Based on the findings of scien-tific research, Kieser Training offers health-oriented strength training as a preventive measure for general strengthening and – under medical supervision – as a therapeutic measure for targeted muscle building in serious mus-culoskeletal complaints.

scientific studies prove suc-cessScientific proof is an important argument at Kieser Training. The central research department founded in 2002 undertakes the following tasks:

Kieser training fights back pain and muscle atrophy with statistics too

• Provision of methods from empirical research

• Implementation of scientific studies and projects

• Development and examination of training-related innovations such as new appliances and training methods.

For the different empirical studies, the Swiss-based research depart-ment, along with Anika Stephan and Dr. Sven Goebel, relies fully on IBM SPSS statistic software.

more muscles, less painThe desire to gain strength and reduce pain is the most important reason for starting this training. This information was revealed in a questionnaire carried out by the research department on around 3,000 customers. The training objectives of „general strengthe-ning“, „pain reduction“ and

„sports preparation“ were fully achieved or at least half-achieved by 60 per cent of customers in the first year of training; this figure

CuStomer CaSe


rose to 80 per cent in the fol-lowing years. According to sports scientist, Anika Stephan, this re-sult is more than satisfactory. „It takes time for the body to adjust and therefore for the training to be successful“, she explains. The potential savings of medical costs is another interesting factor. Many new customers arrived with the goal of eliminating spinal pain or shoulder pain. Three out of four people who began the training were being treated by the doctor for pain or were taking painkillers. After one year of trai-ning, only one in two still requi-red painkillers. Further studies showed that thanks to strength training, back pain and subjective health significantly improved and there was less recourse to medical help.

In a study that is still underway, Anika Stephan is examining a pool of around 7,500 people who completed Kieser Training under medical supervision between 1998 and 2007. She is recording, for ex-ample, the sensation of pain and status of strength before and after strength training.

At Kieser Training, statistical data analysis is not only used by the research department. The results of the study are also used by Mar-keting and, with SPSS Statistics, Anika Stephan is also evaluating new locations – in other words, through data analysis she is helping find optimal locations for new establishments, so that exis-ting ones will not be rivalled.

She is very satisfied with the tool: „The step to the new version turned out to be important and

was worth it. Much about the new version is more user-friendly – for example, the new syntax editor, which is very practical and a lot clearer with its automatic propo-sals.“

Get new customers online and question themKieser Training has been working with IBM SPSS online survey software since 2009. SPSS Data Collection Web Interviews is not just efficient for online customer surveys, but also for scientific studies used for internal commu-nication with the many Kieser Training branches and for perso-nal surveys.

For a current decentralised study of the German market, the research department is develo-ping an online data entry form, in which each of the 118 participa-ting training establishments can enter the training data of their test volunteers. 500 people are ta-king part in the study – also with the SPSS statistic tool – drawn from 48,000 applicants. The participants train free of charge for six months. In this time, their measurements are recorded three times.

Anika Stephan is also very satis-fied with Dynelytics‘ (formerly SPSS Schweiz) support: „If I run into technical problems, I get

Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics Support

quick and reliable support and the problem is quickly solved.“

For customers, regular strength training with Kieser Training has become a life-long task. And for the Kieser Training head office, regular statistical analysis with SPSS software has become just as important. ●

CuStomer CaSe


A quarter of the Swiss population suffers from mental disorders. Over 5,000 mentally ill patients come to the Wil psychiatric clinic or one of the related psychiatric centres in Rorschach, St.Gallen and Wattwil each year. Over 700 people work in the four above-named institutions.

Figures are a learning process for the clinicWithin the framework of medical statistics and quality management, Renate Bernhardsgrütter, psycho-logist and behavioural biologist, manages statistics from psychiatric services in the canton of St Gallen. As a behavioural therapist, she also deals with patients with anxiety disorders or depression. She is

To make it easier to collect and administrate patient data, Dynelytics (formerly

SPSS Schweiz) has programmed a customized solution.

„The good thing about Case Manager is the direct interface to our existing data-

base. This means that we do not need to enter existing data again.“ Dr. Urs Braun,

leading psychologist and computer scientist

therefore a reference in clinical work. Quality figures concern patient and employee satisfaction, outcome measures, patient and employee risks as well as sensitive coercive measures in cases where patients are a danger to themselves or others etc. Renate Bernhards-grütter regularly makes these figures available to colleagues, to be used as grounds for discussions for improvement in quality circles, as well as to senior management. To do this she uses IBM SPSS Statistics software. Renate Bern-hardsgrütter: „The institution wants to learn as much as possible so that patients can receive optimal treatment.“

standard software from sPss…For scientific analysis of data, the Wil clinic has been using SPSS standard software for many years. In 2009, it purchased the data collection software „SPSS Data Collection Web Interviews“. After introductory training organised by Dynelytics (formerly SPSS Swit-zerland), the team at the Wil clinic was able to produce online forms

simplified Patient administrationin the wil Psychiatric clinic

for recording figures itself. Compa-red with the previous system, data entry is easier and more people can be used for entering data.

Similar solutions from Dynelytics are already being used in a few Swiss hospitals and in medical data collection projects concerning patient and questionnaire adminis-tration.

... complemented by tailor-ma-de case manager, training and support from dynelyticsTo make data collection easier, Dynelytics programmed a cost-effective, tailor-made administration solution. This Web interface, called Case Manager, covers the following points:

• User administration for online data collection - only authorised persons can enter new data or alter existing data

• Data transfer from the existing patient database (ERP system)

• Administration and call up of

CuStomer CaSe


personalised surveys and data collection

• Depositing lists, for example lists of diagnoses or postcodes to avoid incorrect entries.

Another very practical feature of Case Manager is that it automati-cally avoids entering doubles.

satisfied users...Dr. Urs Braun, leading psychologist and IT engineer: „The solution is cost-effective and easy to use.“ The main concerns of the Wil clinic were for online forms to be easily adjusted and additional forms to be connected in Case Managed. Urs Braun: „The good thing about Case Manager is the direct interface to our existing database. This means that we do not need to enter exis-ting data again.“

On the subject of the survey soft-ware, Urs Braun says: „You need a certain amount of know-how to work with Data Collection Web In-terviews. But the solution works re-ally well and is particularly effective thanks to the connection to Case Manager.“ Renate Bernhardsgrütter adds: „The tool is really user-friend-ly. A medical student, on a trainee-ship with us, was able to work alone without a problem and create forms. When he ran into problems, he simply contacted Dynelytics and re-ceived support very quickly, which we really appreciated.“

Renate Bernhardsgrütter and Urs Braun themselves often work, and enjoy working, with SPSS Statistics. The behavioural biologist has been exchanging information with Dy-nelytics for more than 10 years al-ready: „When it comes to software, there are worlds apart between then

and now. Contact with Dynelytics is very good and they are very helpful.“

She is very satisfied with the many software upgrades and facilities that have taken place in past years. The transition from the outdated inter-active graphics to new ones is the only aspect she has found laborious because her old routines are not yet up and running. Urs Braun, for his part, considers the many changes the name of the statistic software has undergone in past years a nuisance.

... and satisfied patientsData entered online are sent to Senior Management for assessment, but they are also used to make comparisons between individual departments – concrete improve-ment measures can often already be observed in quality circles on the wards. Many improvement measu-res are based on the outcomes of the figures, for example, greater sa-fety in releasing medication and bet-ter patient clarification regarding drugs used. The Wil clinic compares itself regularly with other clinics in order to see where it stands.

„Our values are good so far, but we remain vigilant to make sure nothing deteriorates“, says Renate Bernhardsgrütter.

Data on medical statistics are sent to the Swiss Federal Statistical Of-fice, where validations and controls

– also with SPSS Statistics – are then carried out by the psychiatric university clinic of Zurich. ●

Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics ProgrammingDynelytics Training

The Wil clinic also regularly compares itself with other clinics, in order to see where it stands. Renate Bernhardsgrütter said:

“Our values are good so far, but we remain vigilant to make sure nothing deteriorates.”

CuStomer CaSe


about médecins sans Fron-tièresDoctors Without Borders / Médecins Sans Frontières (MSF) is a huma-nitarian medical aid organisation, founded by doctors and journa-lists in Paris in 1971. The Swiss section came into being in 1981. The headquarters are in Geneva and there is a branch for German-speaking Switzerland in Zurich. The organisation helps people in need, usually victims of natural disasters or war, regardless of their ethnic origins, religious or political beliefs. MSF Switzerland supports dozens of projects in over 20 countries. More than 300 people, supported by around 1,200 local workers, are on the ground to implement help projects. In Switzerland, around 60 people work for MSF.

MSF missions are above all about providing quick and efficient help on the ground. Alongside medical assistance, food and clean water

A typical case: evaluation of an HIV programme in Cameroon with SPSS Statistics.

MSF is researching a cohort of 150 patients taking anti-viral medication. Patient

data is collected during regular visits.

must be provided, and lodgings must be built or made sanitary. In addition to crisis interventions, MSF also deals with the impact of economic and social inequality on health and implements projects to give access to life-saving medica-tion. In 1999, MSF was awarded the Nobel Peace Prize.

How msF collects medical data• The medical department regu-

larly conducts surveys on the nutritional condition of popula-tions and on the distribution of vaccinations.

• During emergency interventions in the event of epidemics, con-flicts or natural disasters, MSF assesses the health situation of the population and determines how much food, water and accommodation is required. This is often done through data collection, in order to exactly establish requirements on the ground.

• MSF is confronted with more and more situations that require monitoring: data are collected and analysed at regular intervals. This involves assessing nu-

médecins sans Frontières analysemedical data with sPss statistics

merous indicators, which enable a critical situation to be monito-red in order to begin any direct intervention measures.

• Some programmes, such as recent HIV projects, requi-re cohort analyses. Patients‘ development is tracked over several years. To assess the data and recognise long-term trends, complex multivariate statistics are also necessary.

a typical case: evaluation of an HiV programme in cameroon with sPss statistics.MSF is researching a cohort of 150 patients taking anti-viral medica-tion. Patient data is collected during regular visits:

• Data from clinical research

• Measurements such as the num-ber of viruses and CD4 cells

• Information about the existence of side effects

• Documentation on prescribed treatment (type of anti-viral medication, prophylaxis against secondary infections)

CuStomer CaSe


The prescribing chemist fills in a questionnaire with details regar-ding the patient‘s compliance with the therapy. Every 12 months, the patients answer a psycho-social questionnaire, which contains questions on socio-demographics, quality of life, the relationship with the care team, and on indivi-dual perceptions of the illness and treatment.

The different questionnaires and clinical data sheets are opened and recompiled with SPSS Statistics software. SPSS Statistics provides MSF researchers with a series of different analyses:

• Frequency of all variables

• Construction of social science scales

• Calculation of indicators through the compilation of different variables

• Analysis of development trends, such as number of viruses and CD4 cells

• Contingency tables to determine statistically significant connec-tions between the individual characteristics and indicators

• Determination of the epide-miological profile of observed patients

• Multivariate models, such as lo-gistic regressions to analyse the decisive factors for the disease to progress well.

the advantages of sPss statis-tics for msF• One of the clear benefits of SPSS

Statistics is the possibility to open data from other common formats (Excel, dBase, Lotus, text data, etc.) directly in the program and likewise to easily save SPSS data in these formats.

• The attractive program interface also allows inexperienced users to transform variables with recode and compute commands and to carry out a number of statistical evaluations. Experi-enced users have the possibility to automate analyses easily with the built-in syntax command language.

• Users can annotate results (tables and charts), print them individually or collectively and directly insert them in reports.

• SPSS Statistics processes data records with several hundreds of variables, without any notewor-thy loss of performance in the creation of statistics. ●

Solution comPonentS software IBM SPSS Statistics

CuStomer CaSe


The UN‘s refugee agency, UNHCR, whose headquarters are in Geneva, was founded in 1950 by the United Nations General Assembly. The mission of the refugee agency is to co-ordinate protection of refugees and to guarantee their rights and well-being.

In the past decades, the UNHCR has helped several ten million people to start a new life. Today, around 6,600 people work for the organisation in over 110 countries and support more than 34 million people. In 2009, the yearly budget reached a record level of USD 2.3 billion.

„The coaching was excellent and very useful.“

Christopher Haskew, responsible for the UNHCR Health Information System

the Health information system supports people in refugee campsChristopher Haskew works at the UNHCR headquarters in Geneva, in the Public Health department. He is responsible for the Health Informa-tion System (HIS), a standardised tool to develop health programmes for refugees, provide assistance for their implementation and assess them. The HIS collects health data from 1.5 million refugees in 85 camps in 17 countries in Asia and Africa. It contains indicators to control the programme on the ground, in order to control nourish-ment, vaccinations and outbreaks of illnesses such as HIV/AIDS.

The condition of refugees should be improved thanks to more precise information and better health pro-grammes.

Christopher Haskew supports the local UNHCR country programmes in collecting and analysing data and secures the regular flow of data between countries, regional offices and headquarters. „The main goal

the UnHcR looks after the health of 1.5 million refugees with help from a bespoke version of sPss designed specifically for its needs

is to improve decisions concerning public health“, he says. „Based on data collected, we can better steer the programme on the ground and therefore have a greater influence on refugees‘ health.“

Christopher Haskew studied medici-ne in the UK and then did a further degree in Public Health; he has worked for the UNHCR for six years. To begin with he worked in Nepal as a health co-ordinator. In this role, he discovered that reliable data on refugees‘ health was lacking.

Once back in Geneva, he put his ex-perience to developing the new HIS.Before the HIS was introduced, every country collected data with its own reporting system, using dif-ferent methods. Since the HIS was implemented in the first countries in 2006, all data collected worldwide is standardised and easy to com-pare. Christopher Haskew‘s work is much in demand. He presents the results to decision-makers and facilitates their use for strategic discussions and for fund raising. His reports help the UNHCR to

CuStomer CaSe


better apply valuable resources. In order to avoid losing contact with what‘s happening on the ground, he regularly travels to refugee camps in Asia and Africa.

dynelytics offers UnHcR sup-port, programming and coa-chingChristopher Haskew already worked from time to time with SPSS Sta-tistic software in the past. His first contact with Dynelytics‘ (formerly SPSS Schweiz) support services was very positive: “You people at Dy-nelytics are a huge help. I bombard you with requests and always get very good reactions!“

But it soon became clear that his wishes exceeded the services of free technical support. So, Dynelytics suggested implementing a project for the UNHCR to help him carry out his tasks more efficiently. In a very short time-frame, Dynelytics programmed an individual SPSS di-alogue, tailor-made to Christopher Haskew‘s requirements. The new custom dialogue function was thus introduced.

Now, using SPSS Statistics he can open the UNHCR dialogue and define the parameters required for his work. He specifies the required MS Access database and the syntax file, in order to label characteristics, and he chooses tables inside the da-tabase that he wants to assess. Then, using the Python programming lan-guage, SPSS automatically replaces missing values with meaningful average values and replaces or excludes outliers.

SPSS Statistics has become an indispensable aid for Christopher Haskew; he uses it every day and re-

ally appreciates the software. Every month, with help from the UNHCR Dialogue, he assesses new data, corrects values where necessary and sometimes directly contacts regio-nal offices to clear up questions. He then delivers the assessments to the offices with charts and tables on refugee camps and countries. With this feedback, he can compare different health programmes.

Data from the Health Information System (HIS) show, for example, a great decline in cases of malaria in Africa. Due to better endowed and co-ordinated health programmes, the average number of malaria cases per 1000 refugees was able to be reduced from over 150 to less than 50. This success is reducible to better treatment for sick peoples, the distribution of mosquito nets treated with insecticide and fast dia-gnosis. These are the main elements of the UNHCR malaria prevention strategy.

the health information system is expandedIn 2010, Christopher Haskew booked one day‘s one-to-one coaching with an expert from Dynelytics. He remembers the

Christopher Haskew on the subject of Dynelytics‘ support:

“You people at Dynelytics are a huge help. I bombard you with requests and always get very good reactions!”experience: „The coaching was

excellent and very useful. I learned more about statistical techniques and how to interpret results. I am now able to create custom dialogues myself.“

The project continues to grow. The UNHCR is adapting the HIS for use outside the field of refugee camps, so that districts or urban areas can be included in the observation. It was recently introduced in the East of the Democratic Republic of Con-go to support monitoring of local health programmes. The next phase plans to offer the HIS database reporting via the Web. ●

Solution comPonentS software IBM SPSS Statisticsservices Dynelytics ProgrammingDynelytics Coaching

CuStomer CaSe

Schweizerische Gesellschaft für ReproduktionsmedizinSociété Suisse de Médecine de la Reproduction

SGRM / SSMR


BackgroundFIVNAT CH (Fécondation In Vitro Na-tional) – the commission of the Swiss Society for Reproductive Medicine (SGRM) – is responsible for collecting data to draw up yearly statistics on reproductive treatment in Switzerland and for building and supporting the quality of the data register in ac-cordance with the Swiss government’s reproductive medicine regulation (FMEdV).

FIVNAT CH has been successfully providing the IVF Analytics Online Platform for members of the SGRM since the beginning of 2011. It collects reliable data on all IVF trials and any resulting pregnancies online; automa-tically makes statistical reports and makes all this information available.

Data analysis and online data collection expert Dynelytics AG has developed me-

thods and software for the IVF Analytics Online Platform in collaboration with

FIVNAT CH. It is a solution that collects reliable data on all IVF trials and any

resulting pregnancies online; automatically makes statistical reports and makes

all this information available. The solution has been thoroughly tested and has

proved very effective in practice.

the iVF analytics online Platform was developed as a centralonline solution · making decentralised data collection in the authorised member centres possible,

· providing the option of creating dynamic online reports,

· making it possible to make com-parisons with anonymous data in real-time and

· based on forms in four languages

· with data collection and reports which are compatible with EIM (European IVF Monitoring, a Spe-cialty Group of the ESHRE – Eu-ropean Society of Human Repro-duction and Embryology) and with ICMART (International Committee Monitoring Assisted Reproduction Technologies).

The FIVNAT CH IVF Analytics Online Platform functions in the DyneCloud of Dynelytics AG in Switzerland. No additional software is required for data entry or creating

in Vitro Fertilisation (iVF) analytics online Platform

reports. It is operated with all usual browsers.

The IVF Analytics Online Platform can also be easily operated in its own intranet. For this, additional infra-structure is required consisting of hardware (server, etc.) and “IBM SPSS Data Collection Interviewer Web” standard software, on which forms and databases are implemented. This software is distributed and maintained by Dynelytics and is an industry stan-dard in the field of professional market research.

details of the solutionData analysis and online data collec-tion expert Dynelytics AG has develo-ped methods and software for the IVF Analytics Online Platform in collabo-ration with FIVNAT CH. Before the project work began, FIVNAT already had a database with around 30,000 data records and treatment cycles. These data were integrated into the described solution.The IVF Analytics Online Platform was thoroughly tested and proved extremely effective when put into use by FIVNAT CH. In the first year, 6,000

CuStomer CaSe


cycles were collected and analysed.The following typical cycles are collected via the IVF Analytics Online Platform: Slow-freezing / Cryo pre-servation / Destruction and trans-port / Import.

important functions and charac-teristics of the platform: · Only authorised people can ac-cess the web interface with a valid username and password. Access to the different activities and data is controlled via roles assigned to users. Data concerning other users cannot be seen. So, for example, an employee in one centre can only access data in their own centre.

· Couples are clearly identified across the different centres.

· A registry control tool manages allocation and storage of the coup-les’ basic information as well as that of all centres and sub-centres.

· The solution also includes an egg cell accounting element. This checks the number of egg cells taken per couple, the number cryo-preserved and the number still available.

· In the FIVNAT form, all information in relation to the treatment is ente-red, such as medical history, cycles, pick-up, transfer, pregnancies, etc.

· Data sheets, which are only partially filled in, can be opened later and completed, so that authorised people can see cycles that are still open and work on them. Terminated cycles can still be consulted in “view mode”.

· Data quality cotrol: data entry is subject to specific data plausibility routines.

· All data are stored in a database. The data can be exported in SPSS Statis-tics and Excel format.

· Via the web, the FIVNAT datacentre can control authorisations to access the IVF Analytics Online Platform at any time.

· With the online reporting Soft-warefunction, authorised centres can access data records and generate in-dividual reports simply via a browser, without the need to install any local software.

· Pre-defined standard reports enable authorised centres to compare their own cases with general, anonymous benchmark cases at any time.

· It is possible to add additional variables to the online form at a later date. For reasons of data consistency, it is however recommended to make such modifications to data structure only once a year.

· It is possible to programme an addi-tional function to create PDF files, making it possible to print any case entered into the online form.

· The solution is operated by Dy-nelytics AG, whose head office is in Switzerland. The solution is ope-rated in the firm’s Dyne-Cloud in Switzerland.

· This is a continuous operation solution. Dynelytics AG takes care of installing and maintaining software and guarantees data security.

· The IVF Analytics Online Platform can be adjusted quickly and simply to country-specific requirements.

· Data protection is given top priority. All entries and requests are processed with the best possible encryption technology (SSL) and are password protected. Dynelytics protects its ser-ver and all data on it with numerous firewalls. Dynelytics guarantees anonymity of entered data.

· Technical support for users is provi-ded during office hours in German, French and English.

Dynelytics has been operating similar solutions in the Dyne-Cloud for seve-ral years, including for the following institutions:

- AMIS Plus, National Registry of Acute Myocardial Infarction in Switzerland

- Basel University, Institute for General Practitioners, Online-Benchmarking

- Swissfundraising, Online-Benchmarking

- Helvetia Versicherung, Online Assessment. ●

Solution comPonentS software IBM SPSS Data Collection IBM SPSS Statisticsservices Dynelytics Programming Dynelytics Support DyneCloud

CuStomer CaSe

· This innovative software from Dynelytics is an addition to IBM SPSS Statistics, and is seamlessly integrated as a menu option in SPSS.

· In healthcare management patient and employee surveys, the Dyn-elytics Decision Matrix software makes problem areas and satisfac-tion drivers visible with a mouse click.

Dynelytics Decision Matrix:

Use this tool to analyze satisfaction levels of your patients and employees.

Overview of strengths and weaknesses at the push of a button.

· The Dynelytics Decision Matrix software automatically calcula-tes the importance of individual subareas as regards total satisfac-tion - without needing to ask any questions about them!

· With the Dynelytics Decision Ma-trix you can create a meaningful “SWOT quadrant” with a mouse click.

For questions, please do not hesitate to contact us via [email protected].

Software

The opinions of patients regarding the non-medical services of a hospital

Impo

rtan

ce

Invest inweak points

Maintain strong points

Lowpriority

Maintain the level / reduce costs

Performance- +

-

+01. How good was your room with respect to facility?02. How good was your room with regard to cleanliness?03. How good was your room in relation to privacy?04. How good was your room with regard to quietness?05. How good was your room in terms of courtesy of the cleaning staff?06. How well did you like the meals? Variety of meals?07. How well did you like the meals? Temperature of the meals?08. How well did you like the meals? The overall quality of meals?09. How well did you like the meals? Courtesy of the people that served you the food?10. How well did you like the cafeteria? Selection of food and beverages?11. How well did you like the cafeteria? Opening hours?12. How well did you like the cafeteria? Waiting times?*13. How well did you like the cafeteria? Courtesy of the cafeteria staff?14. How well did you find the sanitary installations: cleanliness of your shower/bath?15. How well did you find the sanitary installations: cleanliness of the common showers/baths?16. How well did you find the sanitary installations: cleanliness of your toilet?17. How well did you find the sanitary installations: cleanliness of the common toilets?18. I found the entertainment facility (radio/TV)...19. I found the information on offer...20. I found my way around the house ...

* = importance not significant

01

09

10

11

12

14

0607

02

04

03

05

13

15

20

16

17

18

19

08


decision Matrix

DynelytiCS


SPSS software has been supporting institutions and firms in all fields of healthcare for many years. Our solutions include tools for statis-tics, data mining and text analysis, as well as software for data collec-tion and reporting. Whether you opt for one or more of our solu-tions, they support the following operations:

• Medical research

• Improvement of disease manage-ment

• Measuring quality of patient care

• Improving operating efficiency

• Fighting fraud

• Protecting public health

Software solutions by IBM SPSS are perfectly suited for healthcare appli-cations. They are based on open ar-chitecture, meaning that healthcare providers can use and analyse data

BackgrounD

For healthcare institutions all over the world, providing good quality of care is of

the utmost importance. As healthcare costs increase, these establishments seek

innovative possibilities to care for patients more efficiently and cost effectively

and at the same time to improve quality of care.

from a variety of sources. So that health institutions can process often large quantities of data hassle-free, our solutions are extremely scalable. And our solutions meet legal requi-rements, for example the American Health Insurance Portability and Accountability Act (HIPAA).

medical researchMedical studies often involve vast amounts of data. People and institutions involved in the studies use IBM SPSS solutions to carry out data collection, analysis and reporting efficiently and so they can free up more time for the actual research work.

For example, the Wesley Research Institute (WRI) in Brisbane, Aus-tralia, relies on our technology to improve quality results, safety results and the clinical results of patient care in the Wesley Hospital. Surgeons, cardiologists and other members of the clinic‘s team use IBM SPSS Data Collection software to support the institute‘s cardio-

improved quality of care and greater efficiency thanks to predictiveanalytics

surgery and coronary research programme. The software provides researchers with relevant data at every step of the research process – from designing data collection to the results report – and leads to quicker and more precise diagnoses.

improvement of disease ma-nagementRenowned hospitals, clinics and independent doctors use both their medical knowledge and the best possible external information to adapt treatment recommendations to the latest findings. IBM SPSS solutions help to boost their aware-ness of important information and help them assess the significance of this information, so that they choose the most suitable treatment possibilities.

IBM SPSS Statistics is an integrated component of the cardiology re-search programme at the California Pacific Medical Center in San Fran-cisco, which should reveal informa-tion on the effectiveness of medical


treatments. Researchers use the software to administrate and analyse thousands of data characteristics and to track the results of eligible recipients of transplants and of peo-ple with heart diseases. Using these analyses, doctors can develop more effective treatments for patients and new treatment guidelines.

In the Japanese Red Cross‘ Musashi-no hospital, which is known for its first-class treatment of liver func-tion disorders, researchers sought to improve the healing rate of Hepa-titis C, by better defining the most effective type of treatment for each patient. With IBM SPSS Modeler and thanks to data mining, doctors can match patient factors such as body shape, age and sex with the best treatments. In this way, they can provide better care adapted to each person.

The IBM SPSS solutions also offer health insurance funds like governmental authorities and pri-vate insurance firms the necessary means with which to find patterns in patient care. Like this they can determine cost-effective therapies and treatment protocols to improve patient results and reduce recourse to emergency operations.

measuring quality of careListening and showing an interest in patient requirements is a decis-ive factor in medical care. Statistic software helps institutions to under-stand and consider variables which influence the patient‘s satisfaction with their treatment.

Dr. Erik Kulstad, head of research of the Department of Emergency Medicine in the Advocate Christ Medical Center near Chicago,

Illinois, published, with help from IBM SPSS Statistics, a new study that assessed the effects of overloa-ding the emergency department on patient satisfaction. The research re-vealed that two factors – the use of corridors and long waiting times – were connected with dissatisfaction. This knowledge played a decisive role in developing a successful so-lution for increasing the emergency department‘s space and resources.

Survey research tools by IBM SPSS are used by health firms to collect different types of feedback. A hospi-tal in the Netherlands, for example, used IBM SPSS Data Collection software to record patient satisfac-tion in a more efficient manner. New information was revealed and was quickly put to use to improve patient satisfaction and therefore meet legal requirements. The soft-ware can also be used to measure professional satisfaction of doctors and personnel – important fac-tors in managing valuable human resources.

improving operating efficiencyOur solutions also support private sector companies, such as health insurance firms, to boost their efficiency and create competitive advantages.

A US provider of insurance and health services for millions of members uses IBM SPSS products to identify different customer characteristics, to improve member services and to compare market penetration rates of products by region. In this way, insurance firms can grow in a saturated market.

Fighting fraudAccording to estimates, in the USA

alone, 500 billion dollars are spent each year on duplicated or unneces-sary treatment and on fraudulent medical claims. This means resour-ces are mismanaged, which could be used for patients who really need treatment.

For example, one American state health agency processes hundreds of millions of claims by the health insurance firm Medicaid, which amounts to billions of dollars. The agency implemented a comprehen-sive data warehouse program, which includes a data mining component from IBM SPSS. Through this initiative, the state saved millions of dollars in the first year alone. This is also thanks to forecasting models which indicate the most probable cases of fraud. Governmental inves-tigators obtained a higher rate of success in detecting and recovering fraudulent payments, because they were able to concentrate on suspect cases.

While the usual methods revealed suspect cases of fraud only after payment had been made, meaning that the money had to be recovered, new methods were developed so that probable cases of fraud were identified before any payment was made. This minimises recourse to costly reclamations and represents a huge step in fighting fraudulent payments. With the real-time use offered by our solutions, companies can take action in the short time frame between receiving and paying out the claim.

Protecting public healthPublic health agencies must keep an eye on trends of contagious illnesses such as flu and chronic complaints like diabetes, both locally and

baCkground


beyond their borders. They must understand the reasons behind these trends. And they must support healthcare providers and the public, not only in acute emergency situa-tions such as the H1N1 flu epidemic in early 2009, but in the long-term.

With public surveys on knowledge of and attitudes towards certain health topics, our software gua-rantees privacy of citizens and also facilitates collection of important information by authorities through a variety of cost-effective channels. With their open architecture and comprehensive functionalities, IBM SPSS solutions are ideal for supporting public health agencies in their observation of illnesses and infections. This involves autho-rities analysing data – including records on emergency department admissions, chemists‘ sales figures and reports on the deterioration of public safety. Without allowing conclusions on individual people, it is however possible to uncover pat-terns and connections, which allow the conclusion of the existence of a certain syndrome and the necessity for a reaction from the public health service.

new developments offer new possibilitiesFor people who use medical studies and for employees in public health services, the trend to digitize medical information offers exciting possibilities. More data is availab-le than ever before - some which has never been able to be analysed before, such as doctors‘ and carers‘ notes. Thanks to text analyses from IBM SPSS, researchers and other experts can integrate this important information and use it to gain more precise forecast models. ●

Healthcare is a large cost areaHealthcare costs are expected to further increase, despite them alrea-dy counting for a considerable part of GDP in many countries.

share of GdP spending on healthcare:

• USA 17.4%• France 11.8%• Germany 11.6%• Switzerland 11.6%• Denmark 11.5%• Canada 11.3%• Austria 11.0%• Belgium 10.9%• Sweden 10.0%• Great Britain 9.8%• Spain 9.5%• Australia 8.7%• Japan 8.5%

Source: „OECD Health Data 2011“.Organisation for economic co-operation and development ●

baCkground


PublisherDynelytics AGSchneckenmannstrasse 25, 8044 Zürich(+41) 44 266 90 30editorial managementGisela BoddenbergDaniel Schloethdesign and productionChristoph SteinmannPhotosJos SchmidPrintingDruckfabrik ZüriPrint run1‘200

DynelytiCSWaS knoWn aS SPSS SChWeiz For 15 yearS

PubliShing detailS:

„thankS to the knoW-hoW oF DynelytiCS, our

long-StanDing Partner For online Data ColleCtion anD

analySiS, it iS PoSSiBle For uS to traCk the treatMent oF Pa-tientS With aCute Coronary

SynDroMe anD oPtiMiSe their ProgreSS.“

dr. dragana Radovanovic, head of the amis data center:

„iF i run intoteChniCal ProBleMS,

i get quiCk anDreliaBle SuPPort

anD the ProBleM iS quiCkly SolveD.“

anika stephan, Kieser training

„the CoaChingWaS exCellent anD very uSeFul. i learneD More

aBout StatiStiCalteChniqueS anD hoW to

interPret reSultS.“

dr. christopher Haskew, UnHcR

„you PeoPle at DynelytiCS are a huge helP. i BoM-BarD you With re-

queStS anD alWayS get very gooD re-

aCtionS!“dr. christopher Haskew, UnHcR:

„the gooD thing aBout CaSe Manager iS the Di-reCt interFaCe to

our exiSting DataBa-Se. thiS MeanS that We Do not neeD to

enter exiSting Data again.“

dr. Urs Braun, Psychiatrische Klinik wil

„For Data aS-SeSSMent, We have SuCCeSSFully Been

uSing SPSS StatiStiCS For a long tiMe. noW, With

SPSS Data ColleCtion Data entry, We have FounD a SuPer Solution With a

DireCt interFaCe.“

steffen niemann, swiss council for accident Prevention:

„ContaCt With DynelytiCS iS

very gooD anD they are very

helPFul.“

Renate Bernhardsgrütter, Psychiatrische Klinik wil:

Many medical organisations use Busi-ness Intelligence tools to produce the corresponding standard reports with a high degree of automation. Basic data is stored in relational databases, often administrated with special applications.

Such Business Intelligence solutions have a disadvantage, however, in that they are relatively inflexible. Although requirements can be altered relatively quickly, the corresponding adjust-ments generally require a considerab-le amount of work. Research activities in the field of medicine are also a regular occurrence. For scientific analyses, data usually has to be exami-ned on the patient level. However, Business Intelligence applications usually pre-aggregate data. This means they combine data on a higher level, making them unsuitable for scientific assessment. Classic data mining faced similar problems: In general, about 90% of the time required for a data mining project consists of preparing the data. This is why IBM SPSS Modeler also has comprehensive data preparation possibilities, making it ideal for quick, ad-hoc analyses in the medical field. The clear, visual representation of the analysis process facilitates results‘ va-

a Preview of the...

Reporting on one‘s activity is also a standard in medical

establishments.

lidation and quick process adjustment.Our experience in projects in the me-dical field has shown that it is possible to carry out extremely demanding preparation of complex data struc-tures for scientific purposes within a few days. This makes it possible to develop new indicators, which are indispensable for research topics, but which require a great deal of work with existing Business Intelligence systems. ●

ad-hoc analyses with data mining tools gainin importance

future

dynelytics aGSChneCkenMannStraSSe 25Ch-8044 zuriCh, SWitzerlanD

Phone (+41) 44 266 90 30e-Mail [email protected]

twitter.com/dynelytics

Download - SPSS Schweiz

Documents

Transcript of Download - SPSS Schweiz