
@ShahidNShah
Artificial intelligence is helping healthcare billing and coding teams improve billing accuracy and reduce the time it takes to answer patient questions.Accurate coding is critical to healthcare systems and their revenue cycle management. Yet, the complex and time-draining task of coding too often leads to errors, denied claims and inefficient care. Up to 80% of medical bills are estimated to contain errors, and 42% of claim denials result from coding issues.Historically, overburdened and under-resourced billing and coding teams have had to manually navigate a complex morass of codes. The standard coding system — the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) — includes about 70,000 codes, with hundreds added, deleted or revised each year.
Medical billing involves more than assigning the correct codes. Billing teams also must interact with patients to address continual queries about insurance coverage and medical charges. Stanford Health Care found that AI could augment the capabilities of its billing staff and, in the process, save time and avoid burnout.“In healthcare, there has been a lot of focus on burnout among physicians and how AI can help clinically, but we also noticed that our billing folks have a lot of back and forth with patients and get really complex queries from them,” Bhasin says.
Continue reading at healthtechmagazine.net
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