Can composite digital monitoring biomarkers come of age? A framework for utilization

The application of digital monitoring biomarkers in health, wellness and disease management is reviewed. Harnessing the near limitless capacity of these approaches in the managed healthcare continuum will benefit from a systems-based architecture which presents data quality, quantity, and ease of ca...

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Bibliographic Details
Published in:Journal of clinical and translational science 2017-12, Vol.1 (6), p.373-380
Main Authors: Kovalchick, Christopher, Sirkar, Rhea, Regele, Oliver B, Kourtis, Lampros C, Schiller, Marie, Wolpert, Howard, Alden, Rhett G, Jones, Graham B, Wright, Justin M
Format: Article
Language:English
Subjects:
Alzheimer's disease
Biomarkers
Cancer
closed loop
Data processing
Decision making
Diabetes
Digital medicine
Environmental factors
Food
Internet
IoT
Medical equipment
Medical prognosis
Medicine
Metabolism
NMR
Nuclear magnetic resonance
Patients
Physiology
Prostate
Research Methods and Technology
Review
Sensors
Studies
Thyroid gland
Wireless networks
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Summary:The application of digital monitoring biomarkers in health, wellness and disease management is reviewed. Harnessing the near limitless capacity of these approaches in the managed healthcare continuum will benefit from a systems-based architecture which presents data quality, quantity, and ease of capture within a decision-making dashboard. A framework was developed which stratifies key components and advances the concept of contextualized biomarkers. The framework codifies how direct, indirect, composite, and contextualized composite data can drive innovation for the application of digital biomarkers in healthcare. The de novo framework implies consideration of physiological, behavioral, and environmental factors in the context of biomarker capture and analysis. Application in disease and wellness is highlighted, and incorporation in clinical feedback loops and closed-loop systems is illustrated. The study of contextualized biomarkers has the potential to offer rich and insightful data for clinical decision making. Moreover, advancement of the field will benefit from innovation at the intersection of medicine, engineering, and science. Technological developments in this dynamic field will thus fuel its logical evolution guided by inputs from patients, physicians, healthcare providers, end-payors, actuarists, medical device manufacturers, and drug companies.
ISSN:2059-8661
2059-8661
DOI:10.1017/cts.2018.4