It still comes down to the physician, said B. Bryan Graham, DO, FACEP, a frequent speaker at ACEP’s Reimbursement and Coding Conference. Graham is an emergency physician at the Cleveland Clinic and Medical Director of the Cleveland Clinic Virtual Emergency Medicine Program. He leads many of the reimbursement-and denial-related initiatives for the Emergency Services Institute at the Cleveland Clinic.
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ACEP Now: Vol 43 – No 10 – October 2024Dr. Graham points out that a lot of coding still comes down to medical decision-making.
“The focus on medical decision making and also the advancements of electronic medical records have allowed there to be an opportunity for AI,” Dr. Graham said. “Frankly, if there’s not good documentation in the charts, it expands on the differential. What was the thought process the physician was going through when they were diagnosing and treating the patient? I think there are still limitations to AI, but as it continues to be perfected and advance—and the electronic medical records continue to become smarter and more customized to how we interact and document—it will improve over time.”
Darrin Scheid is communications director at ACEP.
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One Response to “Artificial Intelligence for Medical Billing”
October 14, 2024
Baturay Aydemir, MDIf the AI out-of-pocket cost prediction can be made in real time during a patient encounter, that would help both the patient and the emergency physician in being aware of the added costs of over testing. Excited for more to come!