Pablo Cure, Thomas Radman, Jaime Mihoko Doyle, Audie A Atienza, Joshua P Fessel, Christopher M Hartshorn
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引用次数: 0
Abstract
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
Observations: This study used 21 preselected DHT search terms to identify the funding allocations in DHT research across a 9-year period between fiscal year 2015 and fiscal year 2023. A subset of grants were manually curated to confirm the search terms' accuracy and ascertain the stage of development, focus, and types of tools or approaches. To understand the translation of DHTs from biomedical research to clinical application, common measures, such as digital health publications and clinical trials were included. The DHT portfolio represented 3.2% (US $7 628 967 500) of the overall NIH grants funded from 2015 to 2023. DHT research funding increased during this period from $348 725 600 to $1 533 281 000. DHT research publications and clinical trials using the same search terms increased from 3714 to 14 786 and from 89 to 240, respectively. More DHT research funding was used for research and development purposes (59.3%) than for clinical or regulatory purposes (41.0%) based on manual, second-level data curation.
Conclusions and relevance: This study found that investments in DHT research at the NIH has increased over the past 9 years and that this increase has been steady since 2015, including during and even after the COVID-19 pandemic. Increased use of DHTs is expected to continue as these technologies become a more integral part of the biomedical research ecosystem.
期刊介绍：
JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health.
JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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