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Digital Medicine: A Primer on Measurement
Andrea Coravos1,2,3, Jennifer C Goldsack3,4, Daniel R Karlin3,5,6
1Elektra Labs, Boston, Massachusetts, USA.
Digital Biomarkers
|February 26, 2020
Summary
Digital medicine leverages technology for healthcare innovation, but adoption is hindered by its complex, cross-disciplinary nature. This primer clarifies key concepts and challenges for developing digital health tools.
Area of Science:
- Digital Health
- Medical Technology
- Healthcare Innovation
Background:
- Rapid advancements in sensors, wearables, and AI are transforming medicine.
- Healthcare adoption of these technologies lags other industries due to complexity.
- A significant barrier is the need for cross-disciplinary expertise in developing digital health tools.
Purpose of the Study:
- To address the barrier to digital medicine adoption by providing foundational knowledge.
- To define core concepts and terms within the field of digital medicine.
- To accelerate the safe and effective advancement of digital medicine.
Main Methods:
- Contrasting clinical research with clinical care in the context of digital medicine.
- Outlining security, ethical, regulatory, and legal considerations for digital health products.
- Classifying digital measurement types and validation strategies for various settings.
Main Results:
- Provides a clear distinction between clinical research and clinical care applications.
- Identifies critical factors for developers navigating the digital medicine market.
- Offers a framework for understanding and validating digital measurements.
Conclusions:
- This primer serves as an accessible introduction to digital medicine.
- It aims to equip stakeholders with the knowledge to overcome adoption barriers.
- It is the first in a series designed to foster safe and effective digital health advancements.
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