In this episode of RAPM Focus, Editor-in-Chief Brian Sites, MD, is thrilled to welcome Laura Graham, PhD, MPH, and Sesh Mudumbai, MD, MS, following the April 2024 publication of their brief technical report, “Use of natural language processing method to identify regional anesthesia from clinical notes.”

One definition of medicine is the science and practice of the diagnosis treatment in prevention of disease. Science itself involves diagnoses and relies on the process of assessing data to determine cause and effect in therapies. However, in the busy world of clinical productivity and limited resources, the science of medicine is often overlooked.

Physicians struggle to extract meaningful data from electronic medical records, despite their great potential. This is often due to the prioritization of funding for billing and compliance, which leads to challenges in accessing meaningful data. Additionally, barriers such as data license agreements and institutional review board considerations further complicate matters. This is why Dr. Sites is excited about new technologies, such as artificial intelligence that can assist physicians in the practice in the science of medicine.

Dr. Laura Graham is an epidemiologist with VA’s Health Economics Resource Center at the VA Palo Alto Health Care System and an associate faculty with the Stanford-Surgery, Policy, Improvement Research, and Education Center at the Stanford University School of Medicine. Her research interests include causal inference methods and improving clinical processes of care for surgery.

Dr. Sesh Mudumbai is an associate professor in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine and a staff anesthesiologist at the VA Palo Alto Health Care System. His research interests include using and developing informatics tools to improve opioid management and perioperative outcomes.

*The purpose of this podcast is to educate and to inform. The content of this podcast does not constitute medical advice, and it is not intended to function as a substitute for a healthcare practitioner’s judgement, patient care, or treatment. The views expressed by contributors are those of the speakers. BMJ does not endorse any views or recommendations discussed or expressed on this podcast. Listeners should also be aware that professionals in the field may have different opinions. By listening to this podcast, listeners agree not to use its content as the basis for their own medical treatment or for the medical treatment of others.

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