Artificial Intelligence

Top 10 innovation priorities for health systems in response to COVID-19, says report

By Jackie Drees for Becker’s Hospital Review The COVID-19 pandemic has pushed telehealth and remote work capabilities to the forefront of health systems’ agendas, according to KLAS Research. For its Top of Mind for Top Health Systems 2021: Digital health priorities in the era of COVID-19 report, KLAS Research partnered with Pittsburgh-based Center for Connected…

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AMA Announces New CPT Codes for Multivirus Tests to Detect COVID-19 and Flu

From For the Record The American Medical Association (AMA) recently published an update to the Current Procedural Terminology (CPT®) code set that includes new code additions and editorial revisions for reporting medical services sparked by the public health response to the COVID-19 pandemic. The update to the CPT code set was approved by the CPT…

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6 recent studies exploring AI in healthcare

Katie Adams for Becker’s Hospital Review In the past decade or so, researchers have piloted more and more studies exploring artificial intelligence’s potential to transform healthcare for the better, including reducing workflow inefficiencies, predicting future health outcomes and speeding up diagnoses. Here are six key AI studies that have been published recently: “Whose morality? Which…

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The future of AI in healthcare, according to 6 hospital innovation execs

By Katie Adams for Becker’s Hospital Review Hospital professionals are often so busy they can’t even take lunch breaks, but breakthroughs in artificial intelligence and machine learning can help make their days a bit easier so they can better focus on providing patients with optimal care. Here, six chief innovation and digital officers from hospitals…

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Researchers at Mount Sinai use AI to detect COVID-19 in lung scans

By Kat Jerich for Healthcare IT News Researchers from New York-based Mount Sinai Health System have combined artificial intelligence, imaging and clinical data to rapidly detect COVID-19 in patients. In a study published this week in Nature Medicine, researchers used AI algorithms in conjunction with chest CT scans and patient history to quickly diagnose patients who…

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An AI algorithm detected the coronavirus outbreak a week before the CDC

By Andrea Park for Becker’s Hospital Review Six days before the CDC’s Jan. 6 alert of a flulike outbreak in China, and nine days before the World Health Organization’s Jan. 9 notice, an artificial intelligence-powered platform had already detected and sent warning of the coronavirus outbreak, Wired reports. BlueDot, a global health monitoring platform based in Canada,…

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Chicken soup for the healthcare CIO: tough questions about AI that have fairly simple answers

In collaboration with Ankur Teredesai, Co-founder & CTO, KenSci for Becker’s Hospital Review Chicken soup for the healthcare CIO: tough questions about AI that have fairly simple answers Tumultuous… the word that best describes the hope, expectations and trepidations regarding artificial intelligence (AI) for healthcare CIOs across the globe today. Traditionally in healthcare, CIOs have…

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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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