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The Interface of Artificial Intelligence and the Electronic Medical Record in Orthopaedic Surgery: Current
Logan M Good1, Matthew R Magro, Jeremy M Adelstein
1From the University Hospitals Cleveland Medical Center (Dr. Good, Dr. Adelstein, Dr. Sinkler, Dr. Braden, Dr. Apostolakos), Department of Orthopaedic Surgery, Cleveland, OH; the The MetroHealth System (Dr. Good, Dr. Adelstein, Dr. Sinkler, Dr. Braden), Department of Orthopaedics, Cleveland, OH; the Case Western Reserve University School of Medicine (Dr. Good, Dr. Adelstein, Dr. Sinkler, Dr. Braden, Dr. Apostolakos), Cleveland, OH; and the Ohio University Heritage College of Medicine (Magro), Beachwood, OH.
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.
