arcs conference

The Changing Face of Therapeutics: The role of eHealth, Big Data and

Business Intelligence

Professor Steven C. Boyages

Medical Director

eHealth NSW

Top Trends in eHealth

• Electronic Health Records

• Business Intelligence

• Big Data and Analytics

• Apps for Health

• Social Media and Social Business

• Mobility

• Virtualisation

High TouchHigh

Tech

Team and Workflow

Platform

Technology

Platform

Health work is a balanced matrix

Health ecosystem

E Health records

Maturity model

Benefits Estimate

Deloitte Consulting has estimated that an investment of $2.6 billion over 10 years in EHealth in Australia will yield a benefit of $5.7 billion in net present value over 10 years

The main source of benefit is derived from time saved related to manual information handling and a reduction in avoidable hospital days related to adverse events.

Additional benefits are also seen in the areas of improved chronic disease management, reduced unnecessary repeat testing and reduction in travel.

Benefits estimate

Building on Foundations

Registries Big Data

Big Data

• Big data describes the way we deal with the astonishing accumulation of digital information which is often stored in large unstructured data repositories.

• New tools such as business intelligence (BI) have emerged to organise and interpret this vast array of information with benefits in public health, research, patient care and hospital operational systems.

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New methods of scientific inquiry

• While it is attractive to contemplate the way

everything may become connected to everything

else, it presents a number of large challenges.

• The lab research model has been important for

over a century in both scientific advancement and

product development; soon it may also have to

accommodate a search for truth based only on

pattern-spotting.

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Nearly every transaction or

interaction leaves a data signature

Someone somewhere is capturing and

storing

Sheer scale has far exceeded human

sense-making capabilities

At these scales patterns are often too subtle and relationships too

complex or multi dimensional to observe by simply looking at the data.

Data mining is a means of automating the

process to detect interpretable patterns.

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It helps us see the forest without getting

lost in the trees.

USING DATA

Google trends, Google analytics

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Google Trends Michael Jackson

6/8/2012 24©2011 Healthcare Information

and Management Systems Society

Google flu trends



Facebook can predict your breakups



Your personality can be predicted



Eating Habits

Google Trends

We need to embrace social media

Health Intelligence:

Keeping Score in Health

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The Next Level:

Health Intelligence Systems

• Definition

Responsive

Agile

Available

Flexible

Timely

Real time

Near Real time

Capability

Patient Care

Safety

Decision support

Outcomes Research

Patient Logistics

Performance Management

State

Area based

Hospital/cluster/network

Modality (scheduling)

Bedside

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Bed Board Web Based

Delivered by legacy PAS

Real Time

Predictive

ED performance

Network performance egcardiology

Load Management

Patient Placement

Length of Stay Features

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Table 2: 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%

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Google trends for vitamin D

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Google Analytics-Google Trends

Summary

• Benefits of e Health

• PCEHR

• Benefits to clinical research

• Big Data

• Business Intelligence

• Analytics

arcs conference

Health & Medicine

benefit

ehealth

reduction