Discovery AI (DAI) Platform for NUHS (National University Health System) Clusterwide Research
Applied/Translational Research
Technology
National University Health System
Not Applicable
31 December 2022
Provide secure centralized databases for de-identified NUH datasets to enable R&D on patient journeys. Discovery AI demonstrated its potential to support large-scale medical research and patient care improvements.
Year Submitted: 2022
Published Date: 31 December 2022
Tags: Technology, Applied/Translational Research, Digital Health, Data Management, Data Analytics, Digitalisation, Automation, Artificial Intelligence, Data Modelling, Data Platform, Quantitative Research
About this Content
Aims
Provide secure centralized databases for de-identified NUH datasets to enable R&D on patient journeys.
Background
Existing datasets were fragmented across multiple systems, hindering integrated patient journey analysis.
Methods
Developed secure AI-enabled platform following MOH de-identification standards; linked datasets across equipment/instruments.
Results
Improved cross-institutional research capabilities; enhanced ability to analyze patient journey data.
Conclusion
Discovery AI demonstrated its potential to support large-scale medical research and patient care improvements.
Lessons Learnt
Secure de-identification and robust governance are critical for enabling trustworthy AI research.
Keywords
AI Tools, Data Governance, Centralized Databases, Patient Journey Research
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National University Health System |
Organization(s) Involved | National University Hospital, Ng Teng Fong General Hospital, Jurong Community Hospital, Alexandra Hospital |
Platform(s) | Not Applicable |
Healthcare Professional Group(s) | Healthcare Administration |
Applicable Specialty or Discipline | Healthcare Administrators |
Project Lead(s) | Ngiam Kee Yuan |
Project Member(s) |
Connect with this contributor!
A/Prof Ngiam Kee Yuan - kee_yuan_ngiam@nuhs.edu.sg