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The need for Business Intelligence in Healthcare – 2011 and beyond Jeremy Nettle Director, Global Client Advisor
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The need for Business Intelligence in Healthcare – 2011 and beyond

Feb 25, 2016

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Page 1: The need for Business Intelligence in Healthcare – 2011 and beyond

The need for Business Intelligence in Healthcare – 2011 and beyondJeremy NettleDirector, Global Client Advisor

Page 2: The need for Business Intelligence in Healthcare – 2011 and beyond
Page 3: The need for Business Intelligence in Healthcare – 2011 and beyond

The key issues in the Information Revolution

• away from information belonging to the system, to information enabling patients and service users to be in clear control of their care;

• away from patients and service users merely receiving care, to patients and service users being active participants in their care;

• away from information based on administrative and technical needs, to information which is based on the patient or service user consultation and on good clinical and professional practice;

• away from top-down information collection, to a focus on meeting the needs of individuals and local communities;

• away from a culture in which information has been held close and recorded in forms that are difficult to compare, to one characterised by openness, transparency and comparability;

• away from the Government being the main provider of information about the quality of services to a range of organisations being able to offer service information to a variety of audiences; and

• in relation to digital technologies, away from an approach where we expect every organisation to use the same system, to one where we connect and join up systems.

Page 4: The need for Business Intelligence in Healthcare – 2011 and beyond

“You can have data without information, but you cannot have information without data”

Daniel K. Moran said

Page 5: The need for Business Intelligence in Healthcare – 2011 and beyond

Health trends• Educated and more demanding population

– Able and willing to be empowered in managing their disease– Looking for more transparency

• Ageing population– Use Healthcare services for a longer time– More complicated to treat (e.g. multiple illness / comorbidities)

• Medical advances– More effective drugs if patients are compliant– Technology allows effective mobile monitoring– Predictive analysis is making progress

• Funding is under pressure– A decreasing working/non-working population ratio– Average OECD country Healthcare budget > 20% of GDP

in 2050 if nothing changes– Governments are commonly looking and revising

the role of payer and provider– Providers are increasing being placed in a competitive environment

Page 6: The need for Business Intelligence in Healthcare – 2011 and beyond

The Spectrum of BI Technologies

Among business intelligence disciplines, prediction provides the most business value but is also the most complex. Each discipline builds on the one below it—these are additive, not exclusive, in practice.

Page 7: The need for Business Intelligence in Healthcare – 2011 and beyond

Predictive modelling in Healthcare?• Predictive modelling aims to identify individuals who are at risk of

incurring significant care costs at some future time; for example, the risk of unplanned hospital readmission over the next year.

• Such models exploit linked, individual-level datasets to establish the relationships between characteristics of the individual (predictor variables such as measures of health need and diagnoses) and a subsequent event (outcome variables such as hospital readmission).

• Predictive models find a variety of uses in healthcare. In recent years they have been introduced in case finding tools in the NHS where the aim is to target preventive interventions aimed at promoting health and independence so as to avoid later hospitalisation.

Page 8: The need for Business Intelligence in Healthcare – 2011 and beyond

U.S. HOSPITAL BED SUPPLY SHRINKS WHILE HOSPITAL

WORKFORCE GROWS. April 2, 2009:• The supply of hospital beds and doctors varies widely from region to

region across the United States, and the variations have nothing to do with the level of care patients want or need, according to a new report from the Dartmouth Atlas Project. "Hospital and Physician Capacity Update," analyzes current hospital and physician capacity as well as trends over a 10-year period, and reveals irrational distribution of these valuable and expensive health care resources. The report finds similar wide and persistent variations in capacity in 2006 to those that existed in 1996, generally in the same places.

Page 9: The need for Business Intelligence in Healthcare – 2011 and beyond

From Evidence to Decision but who’s?

If a patient does not have sufficient information is it a question of Doctor knows best

Page 10: The need for Business Intelligence in Healthcare – 2011 and beyond

Differences in male life-expectancy within a small area of London : travelling east from Westminster, every two Tube stops represent over one year of life-expectancy lost (data

revised to 2004–2008)

http://www.dartmouthatlas.org/Source: Analysis by London Health Observatory of ONS and GLA data for 2004–2008. Adapted from a diagram produced by Department of Health

Page 11: The need for Business Intelligence in Healthcare – 2011 and beyond

InteractiveDashboards

Geospatial Visualization

Office Integration

Mobile Reports

Data Analytics Oracle Business Intelligence

Complete. Consistent. Accurate.

Applications

& Portals

SearchAd-hocQueries

Collaboration

Scorecards

Page 12: The need for Business Intelligence in Healthcare – 2011 and beyond

Magic Quadrant for Business Intelligence Platforms

“Oracle’s Crystal Ball can run 10,000 different Monte Carlo simulations within two or three minutes and give business managers the probabilities of the success of different scenarios for maximizing profits or customer service. Companies can pick the scenario that represents the least risk and the biggest payoff."

Source: Gartner (January 2010)

Page 13: The need for Business Intelligence in Healthcare – 2011 and beyond

Oracle and the NHS

Page 14: The need for Business Intelligence in Healthcare – 2011 and beyond

The connected HC/LS ecosystem

Patients

Life Sciences HealthcarePharmaceutical

Medical Eqpt

IntegratedNetworks

Hospitals

PrimaryCare

Outpatient

Other

Biotech

Distributor/Wholesaler

RegulatoryAgency

Physicians

Payer

Employer

Retailer

Payer Provider

Page 15: The need for Business Intelligence in Healthcare – 2011 and beyond

National and Large Scale Procurements – Ways We Engage

• Electronic Staff Record– Product: Oracle HCM – Partner: McKesson Consortium– Scope: For 1.5M employees– Status: 700,000+ employees across 370 organisations

• Technology Enterprise Wide Agreement– Product: Oracle Technology stack as of May 2004 price list– Partner: All NPfIT primes– Scope: Unlimited Deployment Licence for all NHS organisations– Status: Spine, SUS, Choose & Book, Cerner, INPS, etc.

• NHS Shared Business Services– Product: Oracle Financials & Procurement– Partner: Dept. of Health & Steria – Scope: Site licence for all NHS organisations– Status: 120 sites (total Oracle sites 220)

• North East Patches – Shared System• Product: Oracle Financials & Procurement • Partner: Direct• Scope: Perpetual licence for 50 organisations• Status: 60 organisations plus EPM and CRM

Page 16: The need for Business Intelligence in Healthcare – 2011 and beyond

Oracle’s Strategy• Deliver a complete, open,

integrated stack of hardware, infrastructure, database, middleware, and business applications– Integrate components of Oracle’s software stack to

provide unique value to customers– Innovate in each and every component so that is the

best in its category

• Exploit processor, systems, storage, and networking trends to deliver breakthrough innovations by combining Oracle software with Sun hardware

Page 17: The need for Business Intelligence in Healthcare – 2011 and beyond

In summary – What are the challenges

Source: Department of Health The Information Revolution 2010