Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2022
Abstract
This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation-wide screening programs. The first example is embedded within the setting of a national level population health screening program for diabetes related eye diseases, targeting the rapidly increasing number of adults in the country with diabetes. In the second example, the AI assisted screening is done shortly after a person is admitted to one of the public hospitals to identify which inpatients—especially which elderly patients with complex conditions—have a high risk of being readmitted as an inpatient multiple times in the months following discharge. Ways in which healthcare needs and the clinical operations context influenced the approach to designing or deploying the AI systems are highlighted, illustrating the multiplicity of factors that shape the requirements for successful large-scale deployments of AI systems that are deeply embedded within clinical workflows. In the first example, the choice was made to use the system in a semi-automated (vs. fully automated) mode as this was assessed to be more cost-effective, though still offering substantial productivity improvement. In the second example, machine learning algorithm design and model execution trade-offs were made that prioritized key aspects of patient engagement and inclusion over higher levels of predictive accuracy. The article concludes with several lessons learned related to deploying AI systems within healthcare settings, and also lists several other AI efforts already in deployment and in the pipeline for Singapore's public healthcare system.
Keywords
AI applications, AI for national screening programs, influence of clinical context on AI design and usage, Singapore
Discipline
Artificial Intelligence and Robotics | Asian Studies | Databases and Information Systems | Health Information Technology
Research Areas
Information Systems and Management
Publication
Health Care Science
Volume
1
Issue
2
First Page
41
Last Page
57
ISSN
2771-1757
Identifier
10.1002/hcs2.10
Publisher
Wiley Open Access
Citation
TA, Andy Wee An; GOH, Han Leong; ANG, Christine; KOH, Lian Yeow; POON, Ken; and MILLER, Steven M..
Two Singapore public healthcare AI applications for national screening programs and other examples. (2022). Health Care Science. 1, (2), 41-57.
Available at: https://ink.library.smu.edu.sg/sis_research/7231
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1002/hcs2.10
Included in
Artificial Intelligence and Robotics Commons, Asian Studies Commons, Databases and Information Systems Commons, Health Information Technology Commons