Artificial Intelligence

6 revenue cycle tips for ASCs

By Rachel Popa for Becker’s ASC Review Six key revenue cycle from ASC experts: 1. Find causes of denials. Surgery centers can improve claims denial management by adopting proactive strategies, including identifying the root causes of denials, according to Mnet Health, a financial technology firm specializing in healthcare. Root causes may include flawed internal processes…

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Top 5 revenue cycle management stories of 2019

By Ayla Ellison for Becker’s Hospital Review Physician specialties that generate the most revenue for hospitals and Medicare payment rules were among the healthcare revenue cycle management topics that piqued the interest of readers this year. Here are the five most popular revenue cycle management stories published by Becker’s Hospital Review in 2019: 1. These…

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The Future Of Work Now—Medical Coding With AI

Tom Davenport for Forbes Thomas H. Davenport and Steven Miller 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…

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AI not likely to replace physicians, experts say

By Mackenzie Garrity for Becker’s Hospital Review Although technology and artificial intelligence is helping physicians, the tools will ultimately not replace clinicians, according to a panel of physicians and health executives interviewed by CNBC. “I don’t think at this stage, we are 100 percent, or even close to 100 percent, sure that AI can replace…

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Final physician payment rule keeps E/M code changes

By Ron Shinkman for Healthcare Dive Dive Brief: CMS on Friday issued its 2020 final rules for the Physician Fee Schedule, including a streamlining of evaluation and management services (E/M) reporting that was rolled back from an earlier proposal in a change providers applauded. The final rule, which is mostly unchanged from the proposed rule…

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Preparing Noncoders for New 2020 Codes

By Maureen Kelly and Fred Wulf for For the Record In August, the Centers for Medicare & Medicaid Services (CMS) published the Final Rule for fiscal year 2020’s inpatient prospective payment system (IPPS) and outpatient prospective payment system (OPPS) code set changes. IPPS updates take effect for discharges occurring from October 1, 2019, through September…

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From ‘dating sites’ to AI-powered symptom checkers: How hospitals are competing for volume

By Samantha Liss for Healthcare Dive Health systems across the country are looking for creative ways to capture volume as non-traditional competitors threaten to steal patients away. In Washington state, Providence St. Joseph is focusing on making same-day appointments a reality. In Illinois, Advocate Aurora is using AI-powered technology that allows patients to type in…

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AI just as effective as clinicians in diagnostics, study suggests

Rebecca Pifer for Healthcare Dive Dive Brief: Artificial intelligence can detect diseases from medical imaging with the same accuracy as healthcare professionals, according to a systematic review of 82 articles published in The Lancet Digital Health journal Tuesday. However, AI didn’t outperform human diagnosis. In a small subset of the studies comparing AI and clinician diagnostic…

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Physician viewpoint: Patient voices are crucial for AI innovation

By Andrea Park for Becker’s Hospital Review Though artificial intelligence algorithms require as much objective patient data as possible to be effective tools for healthcare delivery, it is equally important that they are trained on anecdotal patient evidence, according to Blake McKinney, MD. In an op-ed for STAT, Dr. McKinney, an emergency medicine physician and…

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Clinician burnout: Physicians name the technologies they think could best solve it

By Mike Miliard for Healthcare IT News SANTA CLARA – At Health 2.0 on Monday, National Coordinator for Health IT Dr. Don Rucker listed a litany of challenges faced daily by physicians and nurses, and contributing to the ongoing scourge of clinician burnout: onerous documentation requirements, boilerplate electronic health records and the “monster burdens” of…

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