ReviewJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2026
The Interface of Artificial Intelligence and the Electronic Medical Record in Orthopaedic Surgery: Current Applications and Future Directions.
Review in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has a broad impact on health care across orthopaedic surgery and numerous other subspecialties through various applications, including the enhancement of diagnostic imaging, robotic assisted surgeries, and rehabilitation protocols. More recently, AI-powered electronic medical record integration with platforms, such as DeepScribe, Augmedix, Suki, Abridge, Nuance Dragon Ambient eXperience, and Clinical Notes AI, have enabled hospital systems to enhance their operational value while streamlining patient care and reducing burnout for clinicians. Although these systems can notably reduce clinician workload while accurately and efficiently transcribing clinical encounters, concerns exist regarding patient confidentiality and data encryption, cost, and ease of integration within healthcare systems. Further studies are needed to elucidate the long-term impact and outlook of AI healthcare integration, particularly within the electronic medical record system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.