OR Performance/Efficiency

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July 2019
Home Safety/Quality > OR Performance/Efficiency

Improving OR efficiency with machine learning prediction of case-time duration

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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By: Judy Mathias
July 22, 2019
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Study: Practice of overlapping colorectal surgical procedures is safe

Editor's Note In this study, overlapping surgery in a tertiary care colorectal surgery practice was found to be safe and not linked to adverse patient outcomes. Of 1,270 patients having inpatient colorectal surgery at the Mayo Clinic, between 2012 and 2015, overlapping surgery occurred in 576 patients. Overall adverse events…

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By: Judy Mathias
July 15, 2019
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Study: EHR data limited in capture of patient outcomes, risk factors needed for risk adjustment

Editor's Note Retooling paper-based measures to electronic format for reporting performance measures can help reduce hospitals’ reporting burden. However, in this study by Joint Commission and State University of New York researchers, a simplified risk model using electronic health record (EHR) elements could not capture most risk factors in the…

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By: Judy Mathias
June 26, 2019
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Variation in surgical outcomes across highest-rated hospitals

Editor's Note Risk-adjusted surgical outcomes vary widely across hospitals within networks that are on the Honor Roll of the US News & World Report, this study finds. In this analysis of 87 hospitals and 143,174 patients, outcomes were not consistently better at Honor Roll hospitals compared with network affiliates. For…

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By: Judy Mathias
June 20, 2019
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Legal and ethical questions temper excitement about AI--Part 1

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. Part 1 and Part 2 of the introduction to AI (May 2019 and June 2019) defined types of AI…

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By: Cynthia Saver, MS, RN
June 18, 2019
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Partner with IT to produce the highest quality data

“What we have right now, quite frankly, in healthcare are islands—visible islands of excellence in a sea of invisible failures, with risk lurking just below the waterline. We need to widen those islands of excellence. We need to connect these islands with more dry land. We need to address these…

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By: Judith M. Mathias, MA, RN
June 18, 2019
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New technology tracks blood loss, reduces transfusions

Blood loss during labor and delivery (L&D) and surgical procedures can lead to serious complications that might be prevented with early detection; however, detection can be challenging. For example, clinicians have traditionally estimated blood loss visually—a subjective and often inaccurate process. Humans’ eyes simply aren’t good at making precise measurements,…

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By: Cynthia Saver, MS, RN
June 18, 2019
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Staff input enriches labor benchmarking data

Labor is the most important resource in an OR and must be used effectively to maintain the financial health of an organization and the well-being of patients. “OR leaders need data tools to manage their labor dollars. How do you know if you are doing it well?” asks Sharon Ulep,…

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By: Cynthia Saver, MS, RN
June 18, 2019
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How will artificial intelligence impact surgical patient care? Part 2

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. Part 1 of this introduction to the series (OR Manager, May 2019, 1, 7-11) defined several different types of…

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By: Cynthia Saver, MS, RN
May 17, 2019
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Artificial intelligence makes surgical 'black box' smarter

Perioperative services departments have been slow to adopt the black boxes used in the aviation industry, partly because it can take a large team of experts hours to analyze data collected by the box. However, the team behind a surgical black box is using artificial intelligence (AI) to significantly cut…

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By: Cynthia Saver, MS, RN
May 17, 2019
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