DEVELOPING DATA VISUALIZATION CAPABILITY

Transcription

1 DEVELOPING DATA VISUALIZATION CAPABILITY IN HOSPITAL AUTHORITY HONG KONG Symposium on Data-Driven Healthcare 29 & 30 August 2017 Mr. Kevin CAI CIO, Hospital Authority Hong Kong

2 Hong Kong s Public Healthcare IT Serve 90% inpatients in HK 28,100 beds 1.7M inpatients p.a. 2.3M A&E attendances p.a. Manage all HK public hospitals & institutions 42 hospitals in 7 Clusters 120 outpatient clinics Support by 70,000+ staff 6,000+ medical professionals 32,000+ nursing & allied health professionals Constitute 2.8% GDP of HK HK$54 billion p.a. Subvented by government Over 10 million transactions of clinical systems per day Clinical Management Systems Electronic Health Records Sharing System 280 Terabytes of Health Data Corporate Support Systems Clinical notes Drug records Lab reports Clinical images Patient profiles Remarks: Figures as at 31 Mar

3 Manpower Constraints Finance Service Developing Data Visualization Capability Hospital Authority Hong Kong Key Challenges in the Coming Years Population growth and ageing Access and waiting time Service model transformation Keeping up with technology Staff management practice Training and development Financial sustainability and cost-efficiency Transparency and equity in resource distribution 3

4 How many 3 s?

5 How many 3 s? Human brain processes images 60,000 times faster than text, 90% of info transmitted to the brain is visual. 5

6 Our Data Analytics Challenges & Strategy Challenges Strategies 1. Vision Establish Data Analytics Vision Expertise Lack of in-house expertise while expensive & difficult to get from market Tools Lack of low cost data analytics tools 2. Expertise Establish Data Competence Center (DCC) Innovation Need a variety and reliable environment for data sharing and exploration Business Support Lack of business sponsorship for data projects 3. Innovation 4. Application Build Innovation Lab to facilitate data collaboration Deliver Data Driven Solutions in 5 strategic portfolios 6

7 1. Our Data Analytics Vision Data Driven Healthcare Actionable Insights From Health Data We Build Smarter Applications Advanced Visualization Machine Learning / Artificial Intelligence 7

8 2. Establish Data Competence Center (DCC) 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 8

9 Healthcare Use Cases Developing Data Visualization Capability Hospital Authority Hong Kong Focus on 9 areas of DCC Development Data Technology Application Data Strategy Open Source Technology Data Analytics Data Architecture Text Analytics Advanced Data Visualization Learn &Growth Machine Learning Data Services 9

10 Design our DCC Training Roadmap Data Scientist Data Scientist Assessment & Recognition Big Data Architect Data Architect Gold Bronze Introductory Learning ~1-2 months Silver Intensive Training ~2-4 months Hands-on Project ~2-6 months Assessment & Recognition as DCC Data Professional Foundational understanding with application of knowledge: - Online learning - Instructor courses - Hands-on proof-ofconcept workshops In-depth understanding with application of knowledge: - Online learning - Instructor courses - Hands-on proof-ofconcept prototypes Business/Data Analyst Data Developer/Engineer Data Analyst Data Engineer 10

11 Develop expertise leveraging open source 11

12 3. Build Innovation Lab to Facilitate Data Collaboration Developing Data Visualization Capability Hospital Authority Hong Kong Isolated, de-identified data environment to facilitate external collaboration AI robot / Kiosk reception Mobile / Data / Geek prototype show cases Simulated Smart Hospital Environment leverage existing apps and smart components Collaboration zone 12

13 HAIT Innovation Management Framework Technology to Idea Idea to Prototype Prototype to Project Vendor Competitor Develop Open source Community Market Activate Transformation Research University Selection Ecosystem Explore technology beyond vendor Innovation Projects Develop new technology vision into HA solution prototype Deploy prototype into projects 13

14 4. Deliver Data Driven Solutions in 5 IT Strategic Portfolios Next Generation Clinical Management HA s care model transformation Efficiency improvement Clinical quality and risk management Enhanced Patient Experience Data-driven insights for better outcome Patient engagement Community collaboration Alignment to HK Smart City Digital Workplace and Collaboration Mobile tools Staff collaboration Enhanced resource management Value-adding process Advanced Process & Infrastructure Smarter IT services Advanced infrastructure More reliable and secure platform Resource Centralization and Specialization Talent specialisation Learning culture IT for IT Better business alignment 5 IT Strategic Portfolios 20 Strategies 100+ Programmes 14

15 Data Driven Solutions Delivered in the Past 12 Months Next Generation Clinical Management Enhanced Patient Experience Digital Workplace and Collaboration 5 Delivered 2 Delivered 1 Delivered Advanced Process & Infrastructure Resource Centralization and Specialization 3 Delivered 1 Delivered Total 12 Delivered 15

16 Selected Visualization Solutions 16

17 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 s 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

18 A&E Dashboard 1. No. of Patients Awaiting 2. Consultation Time 3. No. of Access Block Developing Data Visualization Capability Hospital Authority Hong Kong Alert Admission info for major specialties. 18

19 A&E Dashboard Developing Data Visualization Capability Hospital Authority Hong Kong Bed Occupancy Rate by Wards 19

20 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 3. Implementation - Noble Coder to process lab reports - SNOMED-CT for terminology standardization - Hadoop for data analytics 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 20

21 Patient Journey Visualization Developing Data Visualization Capability Hospital Authority Hong Kong Record detail shown in text, once clicked on above boxes Time series to view patient records by year to month with scroll up and down Chart Summary 21

22 Patient Journey Visualization Different type of view for different perspective

23 3. Protect our e-hr Platform 1. Problem 2. Solution - 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 3. Implementation - Logstash: input and output parser of all data - Elasticsearch: indexes all data and make it searchable - Kibana: Visualize interface for log data - 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 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

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25 Future: Achieve Data Driven Healthcare Current state Target state in 5 years Traditional Data Analysis & Historical Reporting Data Analytics & Insights Data-Driven Enterprise 25

26 THANK YOU!