Editor's Note The University of Michigan’s health system has 34 artificial intelligence (AI) and machine learning research projects underway, 28 of which have principal investigators, the August 12 Health Data Management reports. Projects include analyzing electronic health records (EHRs), ECG monitor data, and analytics to predict acute hemodynamic instability and…

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Editor's Note The US News & World Report on July 30 released its 2019-2020 Best Hospitals Honor Roll. The top five are: Mayo Clinic, Rochester, Minn Massachusetts General Hospital, Boston Johns Hopkins Hospital, Baltimore Cleveland Clinic New York-Presbyterian Hospital/Columbia and Cornell, New York City. In the specialty rankings: University of…

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Editor's Note Health insurer Aetna has created an artificial intelligence (AI) software to settle insurance claims−a development that could lead to automation of other processes and free up staff to focus on higher-level tasks, the July 25 CIO reports. Aetna estimates the software, which is able to resolve claims overnight…

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As part of a special series on artificial intelligence (AI), OR Manager is taking a deep dive into the many facets of this new technology and its impact on patient care. In this issue we continue our examination of the challenges related to AI, which began in last month’s issue…

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Surgeons are the biggest factor in any effort to streamline and standardize the purchase of new surgical devices—and thereby lower costs. But surgeons often balk at getting involved in product review and selection because of the additional demands on their time. Two leading healthcare organizations have moved past this stumbling…

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Editor's Note The Harvard Business School’s Institute for Strategy and Competitiveness has teamed up with the American College of Surgeons (ACS) to develop a value-based measurement program for hospitals and surgical practices. The program, “Transforming Healthcare Resources to Increase Value and Efficiency [ACS THRIVE],” will be tested at 10 to…

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Editor's Note In this study, researchers developed service- and surgeon-specific statistical models using linear regression and machine learning to predict case-time duration at a large academic medical center. Results showed: The machine-learning algorithm had the highest predictive capability. The surgeon-specific was superior to the service-specific model, with higher accuracies and…

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Editor's Note The Department of Health and Human Services (HHS) announced on July 9 that it has formed a summit of key industry stakeholders and government leaders to provide insight as the Trump administration seeks to streamline, improve, and align measures used across federal healthcare quality programs. The Quality Summit,…

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Editor's Note Preliminary experience in the automated detection and classification of fractures using artificial intelligence (AI) shows promise, and AI may enhance processing and communicating probabilistic tasks in orthopedic surgery, this study finds. For fracture detection, researchers compared the human findings in 10 studies with AI findings. In two studies,…

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Editor's Note In this study, a predictive model that can help identify patients at higher odds for not requiring a prolonged hospital length of stay (LOS) after total hip arthroplasty was developed and validated and a point-based calculator was designed. The calculator included nine variables: age, opioid use, metabolic equivalents…

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