AI Article Synopsis

  • Wearable devices for health tracking are rising in popularity and have the potential to revolutionize health care, especially in managing cardiovascular diseases.
  • There is a need for an interoperability framework that connects various health systems to enable better data usage, but current systems are often incompatible, hindering progress.
  • This statement discusses best practices and challenges related to data interoperability, including integration issues, application in clinical settings, and important regulatory and ethical considerations.

Article Abstract

Wearable devices are increasingly used by a growing portion of the population to track health and illnesses. The data emerging from these devices can potentially transform health care. This requires an interoperability framework that enables the deployment of platforms, sensors, devices, and software applications within diverse health systems, aiming to facilitate innovation in preventing and treating cardiovascular disease. However, the current data ecosystem includes several noninteroperable systems that inhibit such objectives. The design of clinically meaningful systems for accessing and incorporating these data into clinical workflows requires strategies to ensure the quality of data and clinical content and patient and caregiver accessibility. This scientific statement aims to address the best practices, gaps, and challenges pertaining to data interoperability in this area, with considerations for (1) data integration and the scope of measures, (2) application of these data into clinical approaches/strategies, and (3) regulatory/ethical/legal issues.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703599PMC
http://dx.doi.org/10.1161/HCG.0000000000000095DOI Listing

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