HIMSS

How Artificial Intelligence is Disrupting Speech Recognition

Kamalika Some by Analytics Insights Speech recognition is the newest technology fad empowered to recognize spoken words, which can further be converted into text. Speech Recognition encapsulates voice recognition, a technology deployed to identify a person based on their voice. AI-powered Speech Recognition has been the toast of offerings among major tech giants. The top-performing…

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The top 10 cheapest states for healthcare in the US

By Rachel Popa for Becker’s Hospital Review A report from the Commonwealth Fund outlines where healthcare costs are the cheapest and most expensive. The Commonwealth Fund analyzed trends in private-sector health insurance premiums and deductibles for the under 65 population from 2008 to 2017 with data from the federal government’s annual Agency for Healthcare Research…

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The top financial pressures facing healthcare organizations: 5 leaders discuss

By Kelly Gooch for Becker’s Hospital Review Becker’s Hospital Review asked healthcare leaders to share the factors they believe will pressure hospital finances the most in 2019. Here are their responses, presented alphabetically. Editor’s Note: Responses have been lightly edited for length and clarity. Dawn Bulgarella CFO of the UAB Health System (Birmingham, Ala.) Hospital…

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How Artificial Intelligence Could Transform Medicine

By Anahad O’Connor for The New York Times Last month, President Trump signed an executive order making the development and regulation of artificial intelligence a federal priority. But one area where artificial intelligence is already taking hold is health care. Doctors are already using A.I. to spot potentially lethal lesions on mammograms. Scientists are also…

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Cleveland Clinic creating center for AI in healthcare

By Meg Bryant for Healthcare Dive Dive Brief: Cleveland Clinic has launched a new center to advance applications for artificial intelligence in healthcare. An initiative of Cleveland Clinic Enterprise Analytics, the Center for Clinical Artificial Intelligence will bring together doctors, researchers, data scientists and others to develop clinical use cases for AI and machine learning…

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Diagnostic errors compounded by EHRs still No. 1 patient safety concern

By Meg Bryant for Healthcare Dive Dive Brief: For the second year in a row, diagnostic errors and improper management of test results in EHRs top ECRI Institute’s list of patient safety concerns facing healthcare leaders. The list is intended as a starting point for organizations to review their patient safety records and set priorities…

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Can AI help prevent physician burnout?

By Jordan Rosenfeld for Modern Economics So much of a physician’s workload includes repetitive, tedious tasks involved in researching diagnoses and analyzing patient data and imaging. On top of increasingly demanding administrative and regulatory burdens and EHR hassles, it’s no wonder physicians are burning out in record numbers. Experts in artificial intelligence (AI)—a form of…

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CMS updates hospital star ratings for the first time since 2017

By Rebecca Pifer for Healthcare Dive Dive Brief: For the first time in more than a year, CMS updated its hospital star ratings. The agency collects the data from its Hospital Quality Initiative programs and the public can view the star ratings on the Hospital Compare website. The American Hospital Association, which has requested a complete termination of the star…

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ICD-11 contains nearly 4x as many codes as ICD-10: Here’s what WHO has to say

By Angie Stewart for Becker’s ASC Review The World Health Organization’s fully-electronic 11th edition of the International Classification of Diseases contains 55,000 codes, compared to the 14,400 in ICD-10, Medscape reports. Thirty-one countries played a role in field testing ICD-11. Here are five takeaways and quotes from WHO’s press briefing announcing the launch: 1. ICD-11…

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