eveloping data visualization apability in...

DEVELOPING DATA VISUALIZATION CAPABILITY

IN HOSPITAL AUTHORITY HONG KONG

Symposium on Data-Driven Healthcare

29 & 30 August 2017

Mr. Kevin CAICIO, Hospital Authority Hong Kong

Developing Data Visualization Capability | Hospital Authority Hong Kong

Hong Kong’s Public Healthcare IT

Remarks: Figures as at 31 Mar 2017

Support by 70,000+ staff6,000+ medical professionals32,000+ nursing & allied health professionals

Serve 90% inpatients in HK28,100 beds1.7M inpatients p.a.

2.3M A&E attendances p.a.

Constitute 2.8% GDP of HKHK$54 billion p.a.Subvented by government

Manage all HK public hospitals & institutions42 hospitals in 7 Clusters120 outpatient clinics

Clinical Management

Systems

Electronic Health Records Sharing

System

Corporate Support Systems

Over 10 million transactions of clinical systems per day

280 Terabytes of Health Data

Clinical notes

Drug records

Lab reportsClinical images

Patient profiles

2

Key Challenges in the Coming Years


Serv

ice

• Population growth and ageing

• Access and waiting time

• Service model transformation

• Keeping up with technology

Man

po

wer

Co

nst

rain

ts

• Staff management practice

• Training and development

Fin

ance• Financial

sustainability and cost-efficiency

• Transparency and equity in resource distribution

3

How many 3’s?

248721840123874092165901476098560

932472091256290650985265904827582

985680960986309584390564095878950

374509284750989475092984


4

How many 3’s?

248721840123874092165901476098560

932472091256290650985265904827582

985680960986309584390564095878950

374509284750989475092984


Human brain processes images 60,000 times faster than text,

90% of info transmitted to the brain is visual.

5

Our Data Analytics Challenges & Strategy


Expertise

Lack of in-house expertise while expensive & difficult to get from market

Tools

Lack of low cost data analytics tools

Innovation

Need a variety and reliable environment for data sharing and exploration

Business Support

Lack of business sponsorship for data projects

• Establish Data Analytics Vision

1. Vision

• Establish Data Competence Center (DCC)

2. Expertise

• Build Innovation Lab to facilitate data collaboration

3. Innovation

• Deliver Data Driven Solutions in 5 strategic portfolios

4. Application

Challenges Strategies

6

Data Driven Healthcare Actionable Insights From Health Data

We Build “Smarter” Applications

Machine Learning /

Artificial Intelligence

Advanced

Visualization

1. Our Data Analytics Vision


7

Formed in June 2015

from 8 to 80

members

in 2017

R&D

Open source

data technology

Data

infrastructure

HA use cases,

develop

prototypes

Learn and share,

develop 50

data engineers

2. Establish Data Competence Center (DCC)


8

Data Strategy

Data

Architecture

Learn &Growth Machine

Learning

Data Analytics

Advanced Data

Visualization

Open Source

Technology

Data Services

Text Analytics

Data Technology Application

He

alt

hc

are

Us

e C

as

es

Focus on 9 areas of DCC Development


9

Bronze

Introductory Learning ~1-2 months

Foundational understanding with application of knowledge:- Online learning- Instructor courses- Hands-on proof-of-

concept workshops

Silver

Intensive Training ~2-4 months

In-depth understanding with application of knowledge:- Online learning- Instructor courses- Hands-on proof-of-

concept prototypes

Assessment & Recognition

Gold

Hands-on Project~2-6 months

Data Scientist

Big Data Architect

Business/Data Analyst

Data Developer/Engineer


Assessment & Recognition as

DCC Data Professional

Data Engineer

Data Analyst

Data Architect

Data Scientist

Design our DCC Training Roadmap

10

Develop expertise leveraging open source


11

3. Build Innovation Lab to Facilitate Data Collaboration


Isolated, de-identified data environment to facilitate external collaboration

AI robot / Kiosk reception

Mobile / Data / Geek prototype show cases

Simulated Smart Hospital Environment leverage existingapps and smart components

Collaboration zone

12

HAIT Innovation Management Framework


Technology

to Idea

Idea to

Prototype

Prototype

to Project

Vendor

Competitor

Open source

Community

Market

Research

University

Ecosystem

Selection

Develop

Activate Transformation

Innovation ProjectsDevelop new technology vision

into HA solution prototype

Explore technology

beyond vendor

Deploy prototype

into projects

13

• Talent specialisation• Learning culture• IT for IT • Better business

alignment

• Smarter IT services• Advanced infrastructure• More reliable and secure

platform

• Data-driven insights for better outcome

• Patient engagement• Community collaboration• Alignment to HK Smart

City

• Mobile tools• Staff collaboration• Enhanced resource

management• Value-adding process

• HA’s care model transformation

• Efficiency improvement• Clinical quality and risk

management

Next Generation

Clinical Management

Enhanced Patient

Experience

Digital Workplace and

Collaboration

Advanced Process &

Infrastructure

Resource Centralization

and Specialization

4. Deliver Data Driven Solutions in 5 IT Strategic Portfolios


IT Strategic Portfolios

Strategies

Programmes

5

20

100+

14

1 Delivered3 Delivered

2 Delivered 1 Delivered5 Delivered

Next Generation

Clinical Management

Enhanced Patient

Experience

Digital Workplace and

Collaboration

Advanced Process &

Infrastructure

Resource Centralization

and Specialization

Total

12Delivered

Data Driven Solutions Delivered in the Past 12 Months


15


Selected Visualization Solutions

16

1. Reduce Access Block in A&E

1. Problem

- Long waiting time, patients have to wait a long time in A&E even after being diagnosed and confirmed to admit to hospital

- Difficult to identify individual patient waiting

- Different to redeploy supply based on demand

2. Solution

- Near real time patient view of A&E at a glance

- With auto alert emails to hospital management if waiting longer than defined period

- Dynamic resource deployment

3. Implementation

- Agile development- Java + SQL Server- Responsive Ajax: jQuery- Visualization: FusionChart

4. Outcome

- Complete, HK-wide A&E service view- Help patients transfer across wards &

hospitals- Improved patient care


17

1. No. of Patients Awaiting

2. Consultation Time

3. No. of Access Block

Admission info for major

specialties.

Email Alert

A&E DashboardDeveloping Data Visualization Capability | Hospital Authority Hong Kong

18

A&E Dashboard

Bed Occupancy Rate byWards


19

2. Visualize Patient Journey

1. Problem

- Manual process on textual info, over 60 million laboratory reports

- Disparate data across patient history- Exact match search limit capability to find

similar result- Lack of holistic view by associating lab

results with whole patient journey to facilitate clinical decision making

2. Solution

- Illustrate patient journey history by integrated view of all medical data (lab, admission, discharge, etc) with related diseases and treatment

- Intuitive data visualization to convert text view info various graphic displays

- Convert free-text, unstructured lab reports into structured clinical entity for fuzzy search

- Link search result with patient demographic for clinical analysis and decision making

3. Implementation

- Noble Coder to process lab reports- SNOMED-CT for terminology

standardization- Hadoop for data analytics


20

Patient Journey Visualization

Time series to view patient records by year to month with scroll up and down

Chart Summary Record detail shown in text, once clicked on above boxes


21

Patient Journey Visualization

1 2 3

Different type of view for different perspective


22

3. Protect our e-HR Platform1. Problem

- Over 95% of cyber traffics are attacks- Difficult to trace and analyze resource of

attack, time, pattern and types- Traces are immersed in large amount of

log files- There are too many types of log files in a

complex system like HK’s e-HR

2. Solution

- Collect all log files and event data in a centralized repository

- Convert unstructured log data into structured data

- Make data searchable in fast and meaningful ways

- Cost little using open source

3. Implementation

- Logstash: input and output parser of all data

- Elasticsearch: indexes all data and make it searchable

- Kibana: Visualize interface for log data

4. Outcome

- Shorten incident investigation time, reduce from 6 hours to 10 mins

- Plot different timeline to predict the trend and prepare action

- Utilize powerful analytics to recognize data patterns and summarize data dimensions

- Will fully deploy before 2018


23


24


Future: Achieve Data Driven Healthcare

Traditional Data Analysis & Historical Reporting

Data Analytics & Insights Data-Driven Enterprise

Current state Target state in 5 years

25

THANK YOU !

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