singapore healthcare landscape - analytics

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Advanced Analytics in Healthcare

Singapore Healthcare Landscape -Analytics

2

IHiS: Who We Are

VISIONINNOVATION

INTEGRITY

PASSION

TRUST & RESPECT

DYNAMISM

To be the trusted technology partner

in healthcare

To lead and deliver technology for

excellence in healthcare

IHiS architects and manages highly integrated award-winning systems across Singapore’s public healthcare sector.

3

IHiS: What We Do

supporting

40,000Healthcare users

6 19 Hospitals

8 National

Specialty Centers

18 Polyclinics

Clusters Agency

> 780Systems andInterfaces

Professionals

1,200

4

IHiS: What We Do

Applications

Architecture & Innovation

TechnologyManagement

HCLOUD

network services

Data

Cent re

CLUSTER INFRASTRUCTURE

Security

Services

BUSINESS SYSTEMS

Patient Systems

Healthcare Analytics

Development Centre

Diagnostics

CPSS2

S

C

M

Pharmacy

National Architecture Office

Innovation

Office

5

IHiS: Our Customers

6

Singapore Healthcare Landscape

Primary Care

- 18 Polyclinics (20%)

-1,500 private medical clinics (80%)

Secondary & Tertiary Care

- 9 Restructured Hospitals & 8 national specialty centres (80%)

- 10 Private Hospitals (20%)

Step Down and Long Term Care

- People Sector (70%)

- Community Hospitals , nursing homes , Day care etc.

7

Singapore - Healthcare 2020

Regional Health Systems

Team-based care disease management models

Community Health Assist Scheme (CHAS)

Better Insurance Scheme

More drugs to be subsidised

Powering Up the Intermediate & Long-Term Care Sector

8

Digital Disruption Wave

9

Preventive Predictive Personalized Participatory

Risk assessment and preventive treatment

Genome analysis to predict risk of diseases and devise personalized treatment

Greater accessibility to healthcare with wearables and online resources

Data monitoring and collection by patients to mange their well being and make informed decisions

Digital Disruption in Healthcare – 4P

10

Everybody is talking about Big Data

Source: Big data; The Next Frontier for Innovation, Competition and Productivity – McKinsey Global Institute Report & comScore

,Radical Group

11

AlphaGo vs Lee Sedol

12

What is next after AlphaGo?

13

Google is Not Alone

14

Big Data – the BUZZ

“Many people buy an expensive camera thinking it will make them a

better photographer, when really better photographers have better

cameras.”

“In Healthcare we are

struggling with small

volume of data itself “

15

Why Healthcare Analytics is SO HOT ?

16SOURCE INFORMATION WEEK, MARCH 2013, “HEALTHCARE ORGANIZATIONS GO BIG FOR ANALYTICS”.

How relevant is Analytics to Healthcare ?

17

Relevant yet difficult to evangelize

“We don’t have data readily available for analysis”

“We don’t have enough funds/resources for analytics projects”

“I want big data”

“ What do I do with the analytics output”

“ Which technology should I adopt”

“IT is responsible for project”

18

Operational Transformation

Objective - Operational Excellence

Approach – Focus on business as usual

decision that will be repeated frequently

Outcome – Enable capability

to harness analytics in operations

19

People

System

Operations

Ecosystem of Feedback Loop

Process Generates data

Analytics Insight

Execution

Inculcate the data driven culture

through people, operation and

technology

20

Collaboration is the Key

• What information has been recorded

• Where is the data

• How to get the data

• How to deploy the model

• What is the problem

• What are the likely causes

• What do we need from the model

• How should we use the model

• How to frame the problem in modeling languages

• What models to use

• What variables to include – integrate information

from IT professional and medical professionals

• How to assess the model performance

IT Professionals

Medical Professionals

Data Scientists

Knowledge of the data

Knowledge of the problem

Knowledge of the technique

Analytics Solutions

• Relevant

• Accurate

• Easy to deploy

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