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Methodologies for designing healthcare analytics solutions: A literature analysis
Shah J Miah1, John Gammack2, Najmul Hasan3
1Victoria University, Australia.
Health Informatics Journal
|December 27, 2019
Summary
Healthcare analytics research is growing, focusing on enhancing decision support. Few studies utilize design science methodologies, despite its benefits, indicating a need for more research in this area.
Area of Science:
- Healthcare Analytics
- Health Informatics
- Information Systems
Background:
- Healthcare analytics is a rapidly advancing field focused on developing solutions to improve clinical and non-clinical decision-making.
- Existing research often emphasizes product, process, and practice value enhancement.
Purpose of the Study:
- To explore the scope of healthcare analytics research.
- To investigate the utilization of design and development methodologies within healthcare analytics.
Main Methods:
- A systematic literature review was conducted using six electronic databases.
- 52 articles published between 2010 and mid-2018 focusing on public healthcare analytics solutions were selected and analyzed.
- Content analysis protocols were applied to scrutinize the selected articles.
Main Results:
- Various development methodologies are employed, including prototyping, traditional software engineering, and agile approaches.
- Despite its advantages, design science methodology is underutilized in healthcare analytics solution development.
- Key topic areas were identified, suggesting future research priorities.
Conclusions:
- The field of healthcare analytics is expanding, with diverse methodologies being applied to solution development.
- There is a significant opportunity to increase the adoption of design science in developing healthcare analytics solutions.
- Further research should focus on identified key topic areas to advance the field.
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