Editor's Note A computer model, which for the first time accurately predicted two of the most challenging side effects of radiation therapy for head and neck cancer patients, was presented September 26 at the Annual Meeting of the American Society for Radiation Oncology in Chicago. Researchers from the University of…

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Editor's Note In this study, a machine learning algorithm resulted in the most accurate estimation of operative case-time duration. Researcher developed models to predict case-time duration using linear regression and supervised machine learning. Each model included an all-inclusive model, service-specific models, and surgeon-specific models. The data set used included 46,986…

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Editor's Note Sentara Healthcare (Norfolk, Virginia) is using a sepsis prediction tool to help alert physicians and nurses when a patient is at risk of developing the infection, the August 26 Reading Eagle reports. The tool uses artificial intelligence (AI) to run some 4,500 pieces of patient data through an…

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Editor's Note A machine learning algorithm based on data from the American College of Cardiology’s National Cardiovascular Data Registry accurately identified patients at risk for bleeding during or after coronary artery bypass grafting (CABG) surgery, the August 23 Health IT Analytics reports. Researchers developed the platform using a risk spectrum…

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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 Joint Commission on July 24 named five hospitals/healthcare systems as 2019 Pioneers in Quality Expert Contributors for their leadership efforts in using electronic clinical quality measure (eCQM) practices to drive their quality improvement. The five are: Baptist Health (Jacksonville, Florida) Johns Hopkins Health System (Baltimore, Maryland) Memorial…

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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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Our series on artificial intelligence (AI) concludes in this issue with part 2 of an in-depth look at legal and ethical questions (cover story) as well as advice for evaluating new AI products (“Consider all angles when choosing AI technology,” p 13). But insights about future trends like AI do…

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Innovative technology and surgical procedures, including artificial intelligence, will be explored in depth during the OR Manager Conference, September 18-20 in New Orleans. The new OR of the Future gives attendees a unique opportunity to learn through interactive experiences, educational sessions, and discussions with leading experts: product manufacturers as well…

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This article concludes OR Manager’s special series on artificial intelligence (AI). Parts 1 and 2 (May 2019 and June 2019) introduced AI, defining the different types of technology and describing its many current and potential applications for surgery. The series also presented examples of AI (June and July 2019). We…

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