The future of work now: Medical coding with AI

• Main Authors: DAVENPORT, Thomas H., MILLER, Steven M.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Artificial intelligence; Coding; medical diagnosis; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4934; https://ink.library.smu.edu.sg/context/sis_research/article/5937/viewcontent/The_future_or_work_now.pdf
• Institution: Singapore Management University

The coding of medical diagnosis and treatment has always been a challenging issue. Translating a patient’s complex symptoms, and a clinician’s efforts to address them, into a clear and unambiguous classification code was difficult even in simpler times. Now, however, hospitals and health insurance companies want very detailed information on what was wrong with a patient and the steps taken to treat them— for clinical record-keeping, for hospital operations review and planning, and perhaps most importantly, for financial reimbursement purposes.