Nyberg Goodit CeBit Tele Health Germany 2007

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Healthcare in Local and Global Networks Prof. Dr. Timo R. Nyberg [email protected]

description

Mobile TeleHealth

Transcript of Nyberg Goodit CeBit Tele Health Germany 2007

Page 1: Nyberg Goodit CeBit Tele Health Germany 2007

Healthcare in Local and Global

Networks

Prof. Dr. Timo R. [email protected]

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Personal Health Record

Citizen networks(Ethical and legal matters)

PersonalFamilyCommunityAreaCountryContinent

Insurance networks $$$Public health insurancePrivate health insuranceOccupational health insuranceTravel insuranceOut-of-pocket

Networks of care providersPrimary care clinicsOccupational health care providersSecondary care hospitalsSpeciality treatment organizationsOut-patient programsAlternative care provider networksPublic health & disease preventionLocation based servicesSatelite network for GPSCell network for positioningPOI network for servicesRSS for interactive use

Information networksPersonal Health Record PHRHealth Information PortalsCommunication Networks

•Body area •Local area•Mobile networks•Internet

Clinical lab networks $Long history of clinical chemistryRegulatory bodiesClinics & hospitals (& homes)Clinical labs (&POC)

Pharmaceutical networks $$Regulatory bodiesPharmaceutical companiesPharmacies networkHealth food products

Networks in Healthcare Arena

Other important networksMedical specialty areasLocal and Global

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KNOWLEDGEGuidelinesGraded evidenceDatabases: drugs, laboratory, genomeImages and videos for training skillsEthical summariesPatient information

Patient dataGenome map

Database of ”all”previous patients

Probablybeneficialtherapy

Simulation Individualizedprediction ofthe effectsof treatment

Patient’s valuesand choices

Selection oftreatment

Selection of medical treatment in the future

Decisionsupport

Doctor’s interpre-tation andexperience

Source: Kunnamo

Paid by Insurance?Available nearby?

Etc????

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Insulin H Protaphan 32 U. Metformin 500 mg 2 x 2Aspirin 100 mg 1 x 1Simvastatin 20 mg 1 x 1Enalapril 20 mg 1 x 1Amlodipine 5 mg 1 x 1

Medication 15.6.2005 New

R

RRRRR

Continuous medication

05.07.2003 Long-acting insulin Insulin H Protaphan 32 U. M. Valli/KSKS Type 2 diabetes 23.6.2001 Metformin 500 mg Diformin retard 2 x 2 I. Kunnamo Type 2 diabetes12.11.2004 Aspirin 100 mg Disperin 1 x 1 S. Miettinen Antiplatelet drug20.06.2004 Simvastatin 20 mg Simvastatin Ratiopharm 1 x 1 I. Kunnamo Hyperlipidaemia04.12.1999 Enalapril 20 mg Enalapril Generics 1 x 1 I Kunnamo Hypertension26.05.2005 Amlodipine 5 mg Norvasc 1 x 1 K.Virta/KSKS Hypertension

Medication used during previous month23.6.2001 Amoksisilliini 750 mg Amoxin 1 x 2 I. Kunnamo Acute maxillary sinusitis

Medications withdrawn21.02.1998 Hydroklorothiazide 25 mg Diurex mite 1 x 1 K.Virta/KSKS Hypertension + amiloridechloride 5 mg Withdrawn 15.3.1998. Cause: Rash I Kunnamo

Detailed view

RRRRRRR

Always visible view

Medication data

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Data must be availableat the point and time they are needed

- if not, it is useless- if not, it is useless

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The most common applications of mobile healthcare are for heart, diabetes, and asthma disease management.

The benefits of mobile healthcare include• improved patient’s perceived quality of life,• improved patient satisfaction with healthcare services,• improved patient compliance with treatment plans, • decreased hospital-based resource utilization.

Current applications of mobile healthcare cover the whole disease management from population level to individual care:Screening, Segmentation, Intervention and Self Care

HOWEVERInsignificant number of users compared to the problem!

Mobile healthcare applications

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Chronic diseases – exploding need for care

The number of chronic disease sufferers is rapidly increasing The most severe diseases are

– Asthma: 100+ million patients worldwide[1]– Cardiovascular Diseases (CVD): 200+ million patients worldwide[2]– Diabetes: 190+ million patients worldwide[3]

Related costs to society skyrocketing– Asthma: USD 14 Billion annually in the US (2002)[4]– CVD: USD 370 Billion annually in the US (2004)[5]– Diabetes: USD 132 Billion annually in the US alone (2002)[6]

1. Patients require better quality of care, more accurate treatment, and better information about they condition and needed treatment

2. Hospitals need to be more efficient, provide better care, decrease costs3. Public sector needs to decrease costs, improve public health

[1] US Lung Association data[2] US Heart Association data

[3] International Diabetes Federation[4] Trends in asthma morbidity and mortality. US Lung Association, 2004.

[5] Heart Disease and Stroke Statistics – 2004 Update. US Heart Association, 2004.[6] Economic Costs of Diabetes in the U.S. in 2002. US Diabetes Association, 2003

~10% of population

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Choronic disease patient today

• Life is centered on check-ups and hospital visits

• Dependency on care reduces ability to normal

lifestyles.

A mobile choise for care delivery

• For people with diseases such as diabetes, cardiac

arrhythmia, COPD or asthma, and for others in

need of frequent medical care outside the clinical

environment, it is easier to

enjoy everyday life with mobile healthcare

Mobile care benefit

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• The real-time data significantly improve effects of treatment. • Numerous ‘studies’ show economic benefits of telecare.

Significant economic savings and quality of care improvements

may be expected.

BUT

More and better clinical trials on mobile healthcare are needed!

Quality & Economics

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• Dibetes patient under control costs 345 €/year• In a city 200 000 population the cost is 5 M€/year

• Patient with complications cost 8.300 €/year• 10 % have complications, cost 11 M€/year

Economic considerations

City of Turku 2006

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72 %72 % 167 300167 30082 %82 % 190 500190 50069 %69 % 139 400139 400

Source: Valle T & Tuomilehto J, 2004Source: Valle T & Tuomilehto J, 2004

1)1) Numbers Finland on 31.12.2004 31.12.2004

Target valueTarget value NOT in NOT in target (%)target (%)

NOT in NOT in target (n)target (n)1)1)

T1: HbA1c < 7,5 %

T2: HbA1c < 7,0 %

T2: RR < 135/85

T2: LDL-kol < 2,6

79 %79 % 26 400

Poor care quality results

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1014

8212

534

10331

0

2000

4000

6000

8000

10000

Type 1 Type 2

No Complications With Complications

€ / patient / year

19 x8 x

TK 2005TK 2005

Cost of poor therapy

City of Helsinki 2004

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Mobile Phone

Test resultRFID reader

BlueTooth etc.

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PDAMobile Clinical Studies

Powered by the TrialMax technology

Patients: 150,000 Different systems: 125 User sites: 7,311 Countries: 57 Languages: 55 User complience: 95%

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WEB (professional)

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WEB (individual)

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Riskilaskuri Lääkitys: 2.3.03 Ins Lantus, ...Allergiat: Penisiliini 20.02.98, ..Diagnoosi ja anamneesi: E11, Di..Silmänpohj. kuvattu 21.6.02Jalkatutkimus tehty 3.12.04Laboratoriomittaukset: 12.02...

Diabetes viewEtunimi SukunimiIkä 73 v 7 kkHetu 010132-xxxxKotikatu 10, 00100 Puh. 060273849

Ilmoitukset/hälytyksetKorkea HbA1C arvo! Vuosikello & kontrollitSilmänpohjakuvaus uusittava

Riskitekijät1. Pvm, BMI 24,8 / 182. Pvm, 140/82 mmHg3. Tupakointi K/E4. ASA K/E5. Pvm, HbA1C 11,8 / 7,0%6. Pvm fS-Col-LDL 2.49 / 2,5 mmol/l7. Pvm fP-Gluk 5,2 mmol/l

Hoitosuositus

Lähete

Lisää toimintoja

Verenpaine

Sydämen syke

EKG

Lämpötila

Hengitystaajuus

Jalkahoito

Näkötestaus

Silmäpohjakuvaus

Ruokavalio

Elämäntapamuutos

Puhe, Internet & SMS yhteys

Motivointi

Veren glukoosi

Potilasympäristö

Disease MasterDiabeteshoidonasiakashallinta

DoctorexDoctorex

MutliLab MutliLab

Automaattinen tiedonsiirto

Mobiili yhteys

Automaattinen palaute(mm. sms)

e-KlinikkaSähköinen konsultaatio Omahoito & mittaukset

Type 2 Diabetes care management

Paino

Tukitoimintoja Diabeteskeskus-paikalliskoordinaattori

Piolottialue•2 lääkäriä•3 hoitajaa

EfficaEffica

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City of 200000 population, target group about 30000 over 40-year-old men in occupational health care system

Screening with Internet or PDA 30000 men

Path 6Other

InterventionTherapy concepts

Path 5Combi

Path 3Insulin

Path 2Oral

Path 4Excercise

Path 1Diet

1 ½ hour

3 1 month

2 1 week

Segmentation based ona) risk screening, b) life style, and c) Motivation 10000 men

4 continuous

Self care

Self measuremets

Mobile phone

Intelligent support system

FEED BACK

ACT

MEASURE

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Cost-Justification1. Screening 10000 á 50e 500000e

2. Monitoring 2000 á 150e 300000e

3. Intervention 500 á 400e 200000e

4. Self care 5000 á 60e/year 300000e

Total 1.3 million € / 1st year

(1300000/10000=130 avoided complications i.e. 1,3%)

Next years 300000€ or less - cost very low

Compare cost to 5M€/a and 11M€/a

10% i.e. 1100 compl. because 2/3 not in care balance

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Technology ChoisesTechnical

functionalityCost

effectivenessEasyness of

useNotes

Screening xxxxxx

xxxxx

xxxxx

xxxx

xxxx

xxxxx

Cell Phone, PDA and

Internet ok

Segmentation & Monitoring

xxxxxxxx

x

xxxxxxxx

xxxxxxxxxx

Cell Phone and PDA work well

Intervention xxxxxxxx

xx

xxxxxxx

xxx

xxxxxxxx

x

Cell Phone & Internet OK PDA best

Self Care xxxxxxxxxxxxxxx

xxxxxxx

xxxx

xxxxxxxxx

Cell Phone is the best

choise

x Mobile Phone x PDA x Internet

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• Mobile healthcare systems are easy and fast to install, operate and carry. • The systems can be made functionally ready at the service provider’s location and easily taken by the user to home, office or anywhere he/she goes. • For long-term use, only charging is required and the system is ready to run. • There is no need to connect the system to internet, telephone modem or any other system; it is always connected. • Remote downloads are possible and the systems may be updated without returning the device to the provider’s location.

The most of technology

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Body area network

BlueTooth is the BAN which is currently preferred by the most medical technology industry.

BT is a standard in most modern mobile handsets. However, in mobile medical equipment the amount of

information transmitted is typically small and the equipment is personal, so there is no need for either the large data transfer capacity or the open network connectivity of BlueTooth.

Alternative technologies include Zigbee and radio frequency identification (RFID) technologies, which are simpler and have lower power consumption.

Often the wired connection to the mobile handset is a good choice for body area networking and the short wire does not make the system any less mobile.

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Wireless local area network

WLAN technologies are widely used in hospitals, but WLAN devices are seldom suitable for true mobile applications, as they require relatively big batteries to support the power needs and their roaming is limited.

As for BlueTooth, they offer more data transfer capacity than is needed for simple monitoring applications. The benefit of WLAN systems is the well-established standards in this area.

Many mobile healthcare applications exploit the WLAN systems, including locating applications, VOIP and connectivity between portable devices such as laptops.

WLAN is wireless local, not mobile.

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Mobile network

Most mobile networks are capable of conveying medical data, even the old GSM data 9.6 kBits is enough for transferring a good quality 12-lead ECG signal.

Often the SMS data transfer capacity is sufficient, but the time delay is an issue in medical emergencies.

With the WDMA and GPRS networks it is possible to transfer MMS messages, small pictures and video clips and continuous data. They are preferred for many mobile healthcare applications today.

In practice the new 3G network will make it possible to have video consultation over the mobile network, but it is not yet fully operational or competitively priced.

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Wide area network (Internet)

Now almost ubiquitous, the internet serves as an excellent platform base for mobile healthcare information systems.

Internet allows all necessary data transfer economically, like voice and video consultations almost anywhere in the world.

With the advent of digital TV or IPTV, it is anticipated that TV type interface will become the an important portal to the web services.

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• Technology exists, many applications exist.• Systems often conflict with existing organization structures.• The integration of mobile health services with old

electronic medical records will present challenges.• More evidence (clinical studies) of the benefits are needed.• Mobile healthcare can be delivered without using all

connectivity options but in many cases several are in use.

• KISS - especially in the beginning

Conclution

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Thank You for Your Attention

[email protected]