Effectiveness of AI in detecting hip fractures, predicting postop outcomes
Editor's Note This Canadian meta-analysis finds that artificial intelligence (AI) has the potential to automate hip fracture diagnoses; however, complicated models may not provide benefit over traditional patient-specific postoperative outcomes predictions. Of 39 studies included in the analysis, 18 used AI models to diagnose hip fractures on plain radiographs and…
Study shows ransomware attacks against healthcare are on the rise
Editor's Note In this study conducted by researchers at the University of Minnesota and by Beth Virnig, PhD, MPH, dean of the University of Florida College of Public Health and Health Professions, data shows that ransomware attacks on healthcare organizations have more than doubled from 2016 to 2021, Healthcare Purchasing…
Allina Health and Qventus using AI tool for OR scheduling
Editor's Note Allina Health and software company Qventus partnered earlier this year to implement an artificial intelligence-based tool to help automate OR scheduling, according to a January 10 PR Newswire release, reports January 11 Becker’s Hospital Review. The tool has capabilities to integrate into electronic health record systems and uses…
American Heart Association, Mass General create digital health app for cardiac emergencies
Editor's Note The American Heart Association and Massachusetts General Hospital (Mass General) have partnered to create and launch a new digital health app for frontline workers, according to an Association Press release published on November 9. The Association’s Adult Cardiac Life Support app offers access to key resources, such as algorithms for…
Healthcare sector has been victim to 25% of ransomware attacks in 2022
Editor's Note According to data from the FBI, just in 2022, 25% of ransomware attacks have been directed at the healthcare sector, Becker’s Health IT October 26 reports. Common Spirit Health, one of the largest nonprofit hospital systems in the US, is the latest reported victim to a ransomware attack,…
The superior efficacy of machine learning based AI tools
With all the factors involved in optimizing OR utilization, assigning OR slots is a complex proposition. When you consider that the average cost to run a fully equipped OR is now at approximately $1,000 per hour in staff and equipment costs, it is more important than ever for hospitals to…
Weekend elective surgery program reduces COVID-19 backlog
Editor's Note This Canadian study finds that hospitals impacted by COVID-19 can reduce their surgical backlogs by scheduling elective surgeries on the weekends. Using machine learning algorithms, the researchers demonstrated that even after resuming their usual level of surgical cases, the wait list would not decrease without a substantial increase…
Preventing culture shock with a new approach to block time
The passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 brought electronic health records (EHR) to the forefront, but the concept existed long before that. Larry Weed and Jan Schultz at the University of Vermont developed a preliminary system in the 1970s. In 2014,…
Report: Breaches of health information on the rise since 2015
Editor's Note According to an “electronic health information” release by the US Government Accountability Office (GAO), titled “HHS Needs to Improve Communications for Breach Reporting” and published on May 27, the Department of Health and Human Services (HHS) has seen an increase in reported breaches of health information since 2015,…
Machine learning models predict ambulatory surgery end time, PACU discharge
Editor's Note In this study from the University of California, San Diego, La Jolla, researchers developed a machine learning model that improved the ability to predict surgery end times and PACU discharge at a range of start times in an ambulatory surgery center (ASC). Of 13,447 surgical procedures analyzed, the…
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