Identifying healthcare needs using predictive analytics and social media, pop up uni, 11am, 2...

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Legal Disclaimers INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH MAY OCCUR. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined." Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries. Approved use: NDA only Do not post publicly Copyright © 2015, Intel Corporation, Oracle Corporation. All rights reserved. *Other names and brands may be claimed as the property of others. 1

Transcript of Identifying healthcare needs using predictive analytics and social media, pop up uni, 11am, 2...

Page 1: Identifying healthcare needs using predictive analytics and social media, pop up uni, 11am, 2 september 2015

Legal Disclaimers INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT.

UNLESS OTHERWISE AGREED IN WRITING BY INTEL, THE INTEL PRODUCTS ARE NOT DESIGNED NOR INTENDED FOR ANY APPLICATION IN WHICH THE FAILURE OF THE INTEL PRODUCT COULD CREATE A SITUATION WHERE PERSONAL INJURY OR DEATH MAY OCCUR.

Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined." Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.

Approved use: NDA only

Do not post publicly

Copyright © 2015, Intel Corporation, Oracle Corporation. All rights reserved.

*Other names and brands may be claimed as the property of others.

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Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and my not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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Jeremy Nettle Healthcare, Oracle

Dr. Lester Russell & Claire Medd RGN

Health & Life Sciences EMEA, Intel

2 September 2015

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$8TN 4

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Organisation for Economic Co-operation and Development (2010) “OECD Health Data”, OECD Health Statistics

“Exponentials can’t go on forever, because eventually they will gobble up everything.”

– Carl Sagan

1970 1975 1980 1985 1990 1995 2000 2005

$0

$8,000

$7,000

$6,000

$5,000

$4,000

$3,000

$2,000

$1,000

United States

Switzerland

Canada

OECD Average

Sweden

United Kingdom

Pe

r C

ap

ita

Sp

en

din

g –

PP

P A

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80% of GP consultations (UK)

75% of health bill (US)

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Diabetes drugs = 10% of UK GPs’ drug budgets

Source Daily Mail 14th August 2015

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Illness that is costing us billions £869M spent on diabetes medications by family doctors in the last year.

£14B is the total spent by the NHS each year treating diabetes, including complications – which is nearly a tenth of its annual budget.

1 in 7 hospital beds are taken up by diabetics.

3.9M Britons have diabetes, the majority type 2, which is usually caused by obesity. The total has risen by two thirds in a decade.

2.5M are thought to have the condition but have not yet been diagnosed.

120 amputations carried out on diabetics a week due to complications of the illness. It also leads to 14,000 heart attacks, 17,000 strokes and 7,500 patients needing kidney dialysis or transplants a year.

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Every

30 seconds a leg is lost to

Diabetes somewhere in the world

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Source Daily Mail 14th August 2015

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1 in 3 people with diabetes type 2

are unaware of it

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Health and Clinical Analytics Using the data to improve commission for better health outcomes

Increase in real-world data

70% 61% 54%

Will you use secondary health data within the next 2 years?

Provider Pharma Payer

Aggregation and analysis of big data Management Cost of Chronic Diseases are out of control

Shift to value-based medicine from volume-based medicine

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Patient stratification to identify population subsets for targeted intervention

Cloud technologies are enhancing R&D collaboration

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01001010101010110011011010101010100100101010101111010101010010100101001010101010110101010101010111101000010010101010101100110110101010101001001010101011110101010100101001010010101010101101010101010101111010001101011001101101010101010010010101010111101010101001010010100101010101011010101010101011110

Medical image archives are increasing by

20-40% annually.3

X-RAY 30MB

Mammograms

120MB

3D CT Scan 1GB

425K Telehealth.2

Health care analytics:

80% unstructured data :images, video and email.4

3D MRI 150MB

PACS

Opportunity for data use

Sources:1. http://www.netapp.com/us/media/wp-7169.pdf; 2. BCC Research Global Markets for Telemedicine Technologies (HLC014E). March 2012 3. http://datascienceseries.com/assets/blog/The_Age_of_Data-Driven_Medic ine.pdf (page 9); 4. http://www.zdnet.com/news/unstructured-data-challenge-or-asset/6356681

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It is estimated that the average hospital generates

Hospital, pharmacy and clinic records

665TB of data annually1

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Big data is not about the data, the real value is in the analytics!

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Preventing Hospital Readmission

Managing Population Health

Commissioning on Outcomes

Geo-based Commissioning

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Oracle Health Science SOLUTIONS addressing key challenges

INTEL technology tailored & optimized for oracle to deliver Extreme reliability and performance

Extending from treatment for cancer to chronic conditions

Earlier intervention Targeted Service Delivery

Using patient cohorts and pharmacogenomics, including new uses for meds

Population Health

Managing health at great scale

Workflow Optimization

From workbench to clinical practice, building in cost-control

Cloud Strategy

Management of structured and unstructured data

SDI infrastructure

Management of exponentially growing volume of data

Resilience

Top to bottom and scale out, resilience built in

Security

Hardened optimized encryption and decryption

Identifying Healthcare Needs Using Predictive Analytics and Social Media

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WORKING TOGETHER, WITH THE INDUSTRY & CUSTOMERS TO MAKE ALL THIS POSSIBLE

Precision Medicine

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Targeted Medication

Patient self help

Real time Diagnosis

PREDICTIVE ANALYTICS

Operational analytics

Clinical Analytics

Scans Images

Sensor data

Clinical Data

Home monitoring

Ingestible Devices

Wearable Devices

Our Strategy for Data Intensive Care

Data

Servers Storage Network

Applications

Analytic Tools and utilities

Big Data Platform

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PATIENT-CENTERED OUTCOMES Access to care for

the underserved

Enabling early intervention and prevention

Encouraging patient empowerment

Better quality of care and health outcomes from care designed for the individual

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Oracle and Intel Collaboration Model

Architecture and Infrastructure

Systems Design

Silicon Co-Engineering

Compilers & Tools

Operating Environments Enablement

Database Optimization

Middleware & Applications Optimization

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NHS (Integrated patient level cost system) MD Anderson Cancer Center

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NHS Fraud Detection Using Big Data to Gain Valuable Insights

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Prescriptions & costs 132 Billion items

Social media

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Moving toward a integrated patient level costing system

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More Data Variety – Better Predictive Models

Increasing sources of relevant data can boost model accuracy

Source: Oracle Advanced Analytics database option; Charlie Berger MS Eng, [email protected]

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Model with 250 variables

Model with 75 variables

Model with 20 variables

Native guess or random

Model with “Big Data” and hundreds – thousands of input variables including: Demographic data

Purchase POS transactional data

“Unstructured Data”, text & comments

Spatial location data

Long term vs. recent historical behavior

Web visits

Sensor data

Etc.

100%

0% Population size R

esp

on

de

rs

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Health and care service evaluation - estimate relative impact of different integrated care initiatives

A different method of commissioning – capitated funding model – to prevent rehospitalisation and support independent living,

A different method of payment for services which is not cost per activity but is outcomes based

Design personal health and social care budgets to support integrated personalisation.

Where Big data could lead to Design and development of whole population person level linked datasets for:

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Move towards an integrated patient level costing system

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MD Anderson

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Reporting environment containing 1 million patients spanning a 70 year period

Saved more than a year in development time with out-of- the-box implementation

Reduced complex queries time from weeks to minutes

Moon Shots initiative to cure 6 cancers in 5 years

Single platform for clinical and genomic data aggregation and analysis

Scalability to address annual data growth

One source of truth for all data

Background / Needs Results with Oracle

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Identifying healthcare needs

TO LEARN MORE: Speak with your local Oracle and Intel Healthcare representative during NHS Expo (Stand 106) or go to URLs….

http://www.oracleconnectinghealthcare.com

http://www.intel.com/healthcare

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Using predictive analytics and social media

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