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Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata
Desirable measures may answer research questions, contribute to more efficient and reliable single-center cross-sectional or longitudinal operational and quality reporting [28], or facilitate multi-institutional comparisons.
J Med Internet Res 2025;27:e64721
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The research data were obtained from responses to open-ended questions included in a cross-sectional, web-based survey examining the use of open-source AID systems. The survey, titled DIWHY, was conducted between November 2018 and March 2019 [26].
The survey (Multimedia Appendix 1) was created by the OPEN consortium in collaboration with further open-source AID system users and was piloted with a small group of them before final release.
J Med Internet Res 2025;27:e48406
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey
Future research could build on these preliminary findings with larger and more diverse samples, potentially through cross-jurisdictional studies that can provide a more comprehensive view of the impact of AI on mental health care.
Our study underscores the promise and challenges of AI in mental health care. As AI tools evolve, it is essential that they are developed with ethics, inclusivity, accuracy, safety and the genuine needs of end users in mind.
JMIR Ment Health 2024;11:e60589
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