The value of health information systems and EMR to patient care

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How can health information systems and EMRs facilitate patient care Professor Steven Boyages The University of Sydney 18 th June, 2015, Elounda Crete The Athena Society

Transcript of The value of health information systems and EMR to patient care

How can health information systems and EMRs facilitate patient care

Professor Steven BoyagesThe University of Sydney

18th June, 2015, Elounda CreteThe Athena Society

The nature of patient care is a constantTO RECHON him who taught me this Art equally dear to me as my parents, to share my substance with him, and relieve his necessities if required; to look up his offspring in the same footing as my own brothers, and to teach them this art, if they shall wish to learn it, without fee or stipulation; and that by precept, lecture, and every other mode of instruction, I will impart a knowledge of the Art to my own sons, and those of my teachers, and to disciples bound by a stipulation and oath according the law of medicine, but to none others. (Hippocrates 460-370 BC)

Hierarchy of Wisdom (Athena)

Wisdom

Knowledge

Information

Data

Health is a knowledge based profession

• Research• Development

Generate Knowledge

• Education• Training

Impart Knowledge • Care

• Prevention

ApplyKnowledge

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Objectives of Investment in IT

• Improve patient experience• Improve patient safety• Improve provider experience• Create value for money

Investing In Health IT perceived as a solution to some of the

challengesBenefits

– Improved automation– Improved productivity– Reduced duplication– Improved safety– Improved patient and

staff experience– Improved reach of

information and service

Risks– Financial investment not

realised– Poor connectivity– Lack of common standards– Increased risk to patients– Increased staff frustration

and lower morale– Staff expectations not

realised– Poor execution and

implementation due to inadequate training

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Risks

The Two Hype Cycle Viewsof the Electronic Health Record

Technology Trigger

Peak ofInflated Expectations

Trough of Disillusionment Slope of Enlightenment Plateau of

Productivity

time

expectations

PositiveHype

NegativeHype

UsabilityValue

Source: Gartner, 2013

The nature of health work

High TouchHighTech

Team and WorkflowPlatform

TechnologyPlatform

FunctionImpact

Minimal

Full

Availability of Products2020+2012200519981993

Generation 1:The Collector

Generation 2:The Documentor

Generation 3:The Helper

Generation 4:The Colleague

Generation 5:The Mentor

Electronic Health Records:Generations Model

Today

Source: Gartner, 2013

The Internet of Things….And Everything

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Location of equipment

Availability & location of

staff

Location and condition

data on the patient

Source: Gartner, 2013

What’s Next?:Patient-Facing ICT Explodes

Source: Gartner, 2013

Care Coordination Applications

“Quantified Self” Applications

Patient Engagement/Portals

Predictive, planning analytics

Visualization

Level of Business Impact

BI/Analytics Shifts GearsJust as Clinical Data Emerges

Ad hoc query,OLAP, data mining

Skill Levels

Required

Reporting, dashboards

Prescriptive process

optimization

Information Patterns

Adapt and Evolve

What will happen?

Why did it happen?

What happened?

What should happen?

Retrospective Concurrent Prognostic

Source: Gartner, 2013

Performance transparency, clinical effectiveness research

Patients “Quantified Self”

Genomics and collaborativeclinical research and discovery

Population health analytics: Lifestyle/social norm, persuasion and prevention researchAdvanced sensor

technologies

EHRs with real-time clinical decision support and interoperability

"The Nexus" Net-mediated

business, clinical, researchand social processes

Complex Data, New Discoveries, Fast Translation

Mobile technologies

Provider carecoordination applications

Social networks

Major medical breakthroughsE.g., nanomedicine, 3D bioprinters

New Technology TriggersThe Nexus of IT Forces:

Social, Mobile, Cloud & Big Data/Information

Source: Gartner, 2013

Social Media data

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Using Search Data

• Search

• Google trends, Google analytics

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Google flu trends

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Seasonal reduction in Vitamin D

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Annual benefit paid by Medicare for 25-hydroxyvitamin D testing and percentage increase since 2000

Year Annual Benefit ($) % Increase

2000 1,021,784 100%2001 1,670,597 163%2002 2,318,770 227%2003 3,216,543 315%2004 5,269,951 516%2005 7,592,467 743%2006 12,149,112 1189%2007 22,621,733 2214%2008 42,358,509 4146%2009 67,643,016 6620%2010 96,746,203 9468%

Vitamin D Test Medicare Benefit ($m) per annum: Australia

1994 1999 2004 2009 20140

20,000,000

40,000,000

60,000,000

80,000,000

100,000,000

120,000,000

140,000,000

160,000,000

Medicare Benefit ($m)

Year

$ m

illio

n

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Clinical Chemistry

The Information Gateway to Health