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Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review
Md Mobashir Hasan Shandhi1, Jennifer C Goldsack2, Kyle Ryan3
1Department of Biomedical Engineering, Duke University, Durham, NC, United States.
Journal of Medical Internet Research
|September 15, 2021
Summary
Academic research on digital clinical measures lags behind product development. Focus is needed on ethics, security, and data governance to build trust in these technologies.
Area of Science:
- Digital health
- Biomedical engineering
- Health informatics
Background:
- Digital clinical measures (DCMs) from sensors like smartphones and wearables are increasingly used.
- Academic evaluation of DCM products is active, but research on safe, ethical, and equitable use is lacking.
Purpose of the Study:
- To systematically review academic research on DCMs.
- To compare sensor types and funding sources across research subareas.
Main Methods:
- Systematic review of US-led academic research on DCMs (Jan 2019-Feb 2021) via PubMed.
- Categorization of research by study type, sensor, and funding.
- Comparison of funding support across research subareas and sensor types.
Main Results:
- Operations research, analytical validation, and usability were top research areas.
- Ethics, security, and data rights were significantly underrepresented.
- Movement/activity trackers were common sensors; physiological sensors were least studied.
- Government agencies provided the most funding for DCM research.
Conclusions:
- Academic research on DCMs is not matching the pace of product adoption.
- An integrated effort is needed to establish DCMs as an evidence-based, trustworthy field.
Keywords:
academic researchbiosensordigital clinical measuresdigital healthdigital measuresfundinghealth outcomes
