Developing AI Technology Platform in Hospital Authority

Transcription

1 Developing AI Technology Platform in Hospital Authority Artificial Intelligence and Digital Healthcare Workshop Kevin Cai Chief Information Officer 22 nd November 2018

2 Our AI Vision

3 HA s Clinical Management System (CMS): A Functional-driven System 100% made in HK & designed by clinicians evolution to a worldleading clinical IT system 55, Modules clinical users in 42 public hospitals 280TB 10M+ of HK citizens clinical data 25+ Years covering all aspects of hospital healthcare daily data transactions Green fields Patient administration + Departmental systems Clinical Management System (CMS) 2003 CMS Phase III Filmless HA 2000 CMS Phase II Electronic Patient Record (epr) esars epr Image Distribution Inpatient MOE HK-wide ehrss Mobile CMS CMS Phase IV ehrss Stage 2

4 What is a Data-driven Enterprise? In 21 st century, every company will become a data company Paradigm shift to data driven IT service What does it mean to HA? 1. Train people to manage data 2. Get insight for everyone 3. Data trigger actions Data is the new fuel of business transformation Technology and data enable new service model What does it mean to IT? 1. Real time, single truth 2. Combine Transactions with Data Warehouse 3. Rule or AI based, able to trigger events 4

5 HA s AI Vision: Data-driven Enterprise Analyze clinical data on the spot to support clinical decision Use patient and risk profiles to provide personalized healthcare advice Provide massive data to support population health analytics Clinical Advisor & Decision Support Personalized Health Management Data Support for Population Health Hospital Home & Community Population Health Make healthcare available anywhere and anytime Use data to enhance resource allocation & utilization From Hospital to Home & Community Care Data-driven Resource Optimization 5

6 Roadmap Towards Data-Driven Enterprise 6

7 Roadmap Towards Data-Driven Enterprise Current state Target state in 5 years Traditional Data Analysis & Historical Reporting Data Analytics & Insights Data-Driven Enterprise 7

8 HA s AI Strategy

9 Our AI Challenges 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 9

10 Our AI Strategy 1. Vision Achieve Data-driven enterprise DCC Pilot Innovations 2. Expertise 3. Innovation 4. Application Build in house via Data Competence Center (DCC) Establish Innovation Lab to collaborate with external Deliver Data Driven Solutions in 5 strategic portfolios Data Scientist HADCL Open Source Data Platform Data Solution Collaboration 10

11 Deliver Data Driven Solutions in 5 IT Strategic Portfolios 3 Demand Strategies: Transforming HA Service Provision HA s care model transformation Efficiency improvement Clinical quality and risk management Data-driven insights for better outcome Patient engagement Community collaboration Mobile tools Staff collaboration Enhanced resource management Value-adding process Smarter IT services Talent specialisation Advanced infrastructure Learning culture More reliable and secure platform IT for IT Better business alignment 2 Supply Strategies: Uplifting IT Capability 11

12 Our AI Impact to the Digital Transformation

13 HA Data Competence Center (DCC)

14 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 14

15 Focus on 9 areas of DCC Development (2015) Data Technology Application Data Strategy Open Source Technology Data Analytics Data Architecture Text Analytics Advanced Data Visualization Healthcare Use Cases Learn & Growth Machine Learning Data Services 15

16 Leverage Open Source Developing Data Visualization Capability Hospital Authority Hong Kong 16

17 Design our DCC Training Roadmap Data Scientist Data Scientist Assessment & Recognition Big Data Architect Data Architect Bronze Introductory Learning ~1-2 months Silver Intensive Training ~2-4 months Gold 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-of-concept 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 17

18 Selected Prototype Projects by DCC Early Detection of Potential Super Bug Outbreaks via Real-time Visualization Predictive Colorectal Cancer (CRC) Detection via Machine Learning Auto Identification of Lung Diseases via Image Analytics Flag cases and identify clustering based on real-time lab & inpatient data 3D data visualization to help identify origin Pilot trial with one year of CRC result from HA s LIS Achieved promising result (AUC = 0.814, results comparable to other similar published studies) Making use of both public (NIH) and HA data Able to automatically identify 14 lung diseases (with AUC= )

19 HA Data Collaboration Lab (HADCL)

20 Big Data Collaboration as a Strategic Initiative HKSAR CE s2017 Policy Address HA to establish a Big Data Analytics Platform Facilitate biotechnological research Support formulation of healthcare policies Improve clinical and healthcare services Promote innovation in healthcare services

21 The NHS Story: Patient Data Security is a Prime Concern The Royal Free NHS Foundation Trust gave 1.6 million patient records to Google DeepMind for a trial Including sensitive patient data (e.g. HIV status, mental health history, abortions) The price of innovation does not need to be the erosion of fundamental privacy rights," Elizabeth Denham, UK Information Commissioner NHS & Google did not properly inform patients the use of their data Ruled illegal and a failure to comply with UK s data protection rules We underestimated the complexity of the NHS and of the rules around patient data, as well as the potential fears about a wellknown tech company working in health Google DeepMind 21

22 Other Challenges for Further Opening Up Data Data Operational rather than research Highly sensitive in nature Legal Global commercial collaboration IP Rights issue Public Perception Public and media opinions 22

23 What is HA Data Collaboration Lab? Anonymized data Physical access control Standalone network No data goes outside the lab Artificial Intelligence, Machine Learning Data Technology Platform for Innovation 23

24 HADCL Collaborative Space

25 HADCL Technical Infrastructure Monitoring & Security Support 2 x CPU Nodes 16 CPU cores 512 GB RAM Hadoop & Big Data Ecosystems 6 Clusters Hadoop File Systems (168 TB Usable Data Storage) Scalable Hardware 4 x GPU Nodes 8 x P100 Cards 1 TB RAM... Resources... Machine Learning & AI Computing Data Compartment Data Compartment Data Compartment Data... Compartment Multi-tenancy Support

26 HADCL Data Catalogue (for pilot phase) Diagnosis Laboratory tests & results Demographic data Summary of Episodes /Clinical Activity OP appointment AED attendance IP admission, transfer & discharge Clinical notes / Summary (Text) Procedures Clinical structured notes Family Medicine Immunization Radiology examinations Radiology Report (Text) & Radiology Image Medications More information at 26

27 HADCL Development Roadmap H 2019 onwards Set up HADCL Launch 12-month pilot for at least 4 pilot projects Provide Data Exploration Workshops Review and enhance process and capability Scale up HADCL service capacity Further expanding HADCL service profile 27

28 Our Transformation: Data-Driven Healthcare

29 Data Leverage Data Analytics and Cloud for Enhanced Healthcare Quality & Efficiency HA Cloud Machine Learning Algorithms Automation Collaboration Enhanced Quality & Efficiency

30 Connect Patients beyond Hospital Care Consultation & Follow-up Medication Payment Monitoring Rehabilitation Disease & Service Information Health Lifestyle Management Smart Hospital Care Algorithms 30

31 Build HK Healthcare Cloud Ecosystem HADCL Data Algorithms & Models HKSAR GovCloud HA Cloud Public Cloud Apps & APIs Innovation for Care Quality & Efficiency Service Automation & Collaboration Ecosystem Sharing & Smart Living HA Service Units External Care Providers NGOs HK Citizens

32 Thank You!