himss singapore 2012 clinician it leadership 2012[1]

BUSINESS INTELLIGENCE FOR CLINICIANS AND HOSPITALS IN HEALTHCARE IT IMPLEMENTATION

PROFESSOR STEVEN BOYAGES

17TH SEPTEMBER 2012 MARINA BAY SANDS, SINGAPORE

Summary

• 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.

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

9/24/2012 2©2011 Healthcare Information and Management Systems Society

Hormone Intelligent Systems


In his book Ben Fry describes a seven stage process for understanding data:

Visualising Data: Exploring and Explaining Data with the Processing Environment


Acquire

Process

Filter

MineRepresent

Refine

Interact

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.


It helps us see the forest without getting lost in the trees.

Algorithms

• When it comes to algorithms, “if I can do a power grid, I can do water supply,” said Steve Mills, I.B.M.’s senior vice president for software and systems.

• Even traffic, which like water and electricity has value when it flows effectively, can reuse some of the same algorithms.


Looking for patterns

• The trend of looking for commonalities and overlapping interests is emerging in many parts of both academia and business.

• At the ultra small nanoscale examination of a cell, researchers say, the disciplines of biology, chemistry and physics begin to collapse in on each other.

• Online marketers look at your behaviour in a number of contexts to sell you something you may not even know you wanted.


Big Data

• Intelligent

• Instrumented, ability to measure things eg RFID devices

• Interconnected

• Captured at machine speed

• A380 1 billion lines of code, each engine generates 10TB data every 30 minutes, 640 TB on a flight

• Energy utility services

• Location based services


Potential areas for use• MGI studied big data in five domains—healthcare in the United States, the public sector in Europe,

retail in the United States, and manufacturing and personal-location data globally. Big data can generate value in each.

• For example, a retailer using big data to the full could increase its operating margin by more than 60 percent.

• If US healthcare were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year.

• Two-thirds of that would be in the form of reducing US healthcare expenditure by about 8 percent.

• In the developed economies of Europe, government administrators could save more than €100 billion ($149 billion) in operational efficiency improvements alone by using big data, not including using big data to reduce fraud and errors and boost the collection of tax revenues.

• And users of services enabled by personal-location data could capture $600 billion in consumer surplus. The research offers seven key insights.


Five broad areas in which big data can create value

• 1. Big data can make information transparent and usable at much higher frequency

• 2. As organizations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everything from product inventories to sick days, and therefore expose variability and boost performance.

• (Using data for basic low-frequency forecasting to high-frequency nowcasting to adjust their business levers just in time)


Five broad areas in which big data can create value

• 3. Big data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.

• 4. Sophisticated analytics can substantially improve decision-making.

• 5. Big data can be used to improve the development of the next generation of products and services. Eg data obtained from sensors embedded in products


USING DATA

GOOGLE TRENDS, GOOGLE ANALYTICS

9/24/2012 ©2011 Healthcare Information and Management Systems Society 19

9/24/2012 20

Google Trends Michael Jackson


Google flu trends


Facebook can predict your breakups


Your personality can be predicted


Eating Habits

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.


How the internet can read your mind

Health Intelligence:Keeping Score in Health

27

Analogue Scoreboards

28

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

29

• Bed Board (including LOS

enhancements)

• Ward Activity and Nursing Display

(WAND)

• eConsults

• iHandover

• Transport booking

• Infectious Diseases Alerts

• Pharmtrack

• CareFirst meetings run 3 times per week with

all senior clinical management

• Uses up to date (near real time information)

through CareFirst Dashboard – which

includes:

• Subject Area Dashboards (Patient Safety,

Mental Health, Surgery, Nursing, Costing,

ED etc.)

• Links to hundreds of pre-populated

Business Objects Reports (no

performance issues)

(a) Patient Care (b) Performance Mgmt

Mix of Patient & Performance Management tools to support patient care / flow

30

The Next Level:

Health Intelligence Systems

Bed BoardWeb Based

Delivered by legacy PAS

Real Time

Predictive

ED performance

Network performance egcardiology

Load Management

Patient Placement

Length of Stay Features

31

Bed Board: Length of Stay and Inter-hospital Transfer

32


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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%


Year%and%Quarter

QLD,%Queensland;%NT,%Northern%Territory;%NSW,%New%South%Wales;%ACT,%Australian%Capital%Territory;%WA,%Western%Australia;%SA,%South%Australia;%VIC,%Victoria;%TAS,%Tasmania;%FBC,%Full%blood%count

Rate%per%100000%individuals

Rate%per%100000%individuals

Figure%1:%Rate%of%Services%per%100%000%for%vitamin%D%(25?hydroxyvitamin%D),%full%blood%count%(FBC)%and%bone%densitometry%by%quarter%between%2000%and%2011


Google Analytics-Google Trends


Google trends for vitamin D

Business Intelligence and Big Data

• 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.

• It helps us see the forest without getting lost in the trees.

himss singapore 2012 clinician it leadership 2012[1]

Health & Medicine

exceeded human sense

big data

scales patterns

data mining

multi dimensional

united states

business intelligence

patient care