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Essential Considerations for Successful Consumer Health Informatics Solutions
1Swinburne University, Epworth HealthCare, Melbourne, Australia.
Yearbook of Medical Informatics
|August 17, 2019
Summary
Consumer Health Informatics (CHI) is growing, but AI integration is key to maximizing its benefits. Future precision solutions incorporating artificial intelligence (AI) will enhance CHI initiatives.
Area of Science:
- Consumer Health Informatics
- Artificial Intelligence
- Health Technology
Background:
- Consumer Health Informatics (CHI) initiatives have expanded over the past decade.
- Key milestones and challenges in CHI implementation have been identified.
Purpose of the Study:
- To review the scope of current Consumer Health Informatics (CHI) initiatives.
- To identify opportunities for enhancing CHI solutions using artificial intelligence (AI).
Main Methods:
- A comprehensive literature review of the past 10 years was conducted.
- Inclusion criteria focused on CHI barriers, facilitators, milestones, and AI integration potential.
- Exclusion criteria targeted solutions impacting fewer than 50 individuals.
Main Results:
- 25 relevant papers were selected from an initial 200.
- Identified barriers include socio-political factors, financial constraints, infrastructure limitations, and health literacy levels.
Conclusions:
- The field of Consumer Health Informatics (CHI) is developing rapidly.
- Realizing the full potential of CHI requires the integration of advanced artificial intelligence (AI) in precision solutions.
- The RxPredict initiative serves as an illustrative case example.
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