IIOT Healthcare
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…
Machine learning model uses data from wearable devices to detect COVID-19 in HCWs
Editor's Note Researchers at the Icahn School of Medicine, Mount Sinai, New York City, have developed a machine learning model that uses physiological metrics collected from wearable devices that can detect and predict COVID-19 in healthcare workers (HCWs). A total of 407 HCWs from 7 hospitals were enrolled in the…
HHS issues new HIPPA guidance for audio-only telehealth services
Editor's Note On June 13, the Department of Health and Human Services (HHS) Office for Civil Rights (OCR) issued new guidance for HIPPA-covered healthcare providers and health plans to comply with privacy, security, and breach notification requirements when using remote communication technologies to provide “audio-only” telehealth services, the American Hospital…
New machine learning models predict adverse postop abdominal hernia surgery outcomes
Editor's Note Machine learning (ML) models designed by surgeons at the University of Texas MD Anderson Cancer Center in Houston show a high level of accuracy in predicting which types of patients are most likely to have a hernia recurrence or other complications after surgery in this study. Of 725…
Johns Hopkins robot performs first laparoscopic intestinal anastomosis without human help
Editor's Note The Smart Tissue Autonomous Robot (STAR), designed by a team of researchers at Johns Hopkins University, has performed laparoscopic intestinal anastomoses in four experiments on pig tissue without human help. The robot outperformed surgeons using manual-laparoscopic and robot-assisted surgical techniques in the consistency of suture spacing and bite…
Creating work schedules with AI reduces physician burnout
Editor's Note Artificial intelligence (AI)-based scheduling significantly improved physician engagement and reduced burnout, in this study presented by Ochsner Health researchers, January 28, at the American Society of Anesthesiologists’ ADVANCE 2022, the Anesthesiology Business Event, in Dallas. The AI-based scheduling software, which created fair and flexible schedules that supported work-life…
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- Ambient AI reshapes nursing workflows and boosts patient interaction
- Session: Developing a complex spine and total joint service line program in the ASC
- Session: The importance of having a comprehensive plan to prevent workplace violence in ASCs
- Session: Automate to elevate—Streamlining pre-, postoperative processes for better outcomes in ASCs
- Transparent oversight is key to safe surgical innovation
- New patient tool for seeking quality care includes surgery
- Review: Top reasons for perioperative nurse turnover intention
- ASCs look abroad for staffing, but new $100,000 visa fee threatens access to global talent