Tag: Information Systems

Data-use practices linked to successful implementation of ERPs

Editor's Note In this study, the most important data-use practice associated with successful implementation of enhanced recovery pathways (ERPs) was data feedback to frontline providers of process and outcome measures. Of 140 hospitals analyzed, 52% reported previous ERP implementation, with wide variations in data-use practices. Feedback of process and outcome…

Read More

By: Judy Mathias
December 2, 2019
Share

AI evaluation of ECGs predicts irregular heart rhythm, death risk

Editor's Note Artificial intelligence (AI) was able to predict which patients were likely to develop an irregular heart rhythm, even when physicians interpreted results as normal, and identified patients at increased risk of dying of any cause within 1 year, in this study presented November 16 at the American Heart…

Read More

By: Judy Mathias
November 18, 2019
Share

2020 OR Business Management Conference around the corner

Anyone seeking a break from the winter weather and a stimulating educational experience will find both at the 2020 OR Business Management Conference (ORBMC), which takes place January 27-30 in Weston, Florida. The highly relevant and timely presentations, along with networking events that connect OR business professionals with colleagues and…

Read More

By: Elizabeth Wood
November 18, 2019
Share

FDA: Class I recall of Zimmer Biomet’s ROSA Brain 3.0 Robotic Surgery System

Editor's Note The Food & Drug Administration on November 7 identified the recall by Zimmer Biomet of its ROSA Brain 3.0 Robotic Surgery System as Class I, the most serious. The recall was initiated because of a software issue that incorrectly positions the robotic arm. The company has received five…

Read More

By: Judy Mathias
November 14, 2019
Share

Improving prediction of adverse surgical outcomes with machine learning algorithm

Editor's Note In this study, a new machine learning Complexity Score algorithm outperformed three commonly used risk scores in predicting postoperative morbidity, 30-day readmission, 90-day readmission, and postoperative surper-use. Study patients underwent colectomy, abdominal aortic aneurysm repair, coronary artery bypass grafting, total hip or knee replacement, or lung resection. The…

Read More

By: Judy Mathias
November 6, 2019
Share

ACS NSQIP risk calculator predicts four outcomes for geriatric surgical patients

Editor's Note The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator accurately predicted four quality-of-life outcomes that transcend traditional measures of successful surgery and now reflects the expected effects of surgery on an older patient’s ability to function independently, finds this study presented October…

Read More

By: Judy Mathias
November 5, 2019
Share

FDA clears Heartvista’s AI-assisted cardiac MRI tool

Editor's Note Heartvista (Los Altos, California) has obtained clearance from the Food and Drug Administration (FDA) for its artificial intelligence (AI)-assisted One Click autonomous MRI acquisition software for cardiac ischemia exams, the October 30 BioWorld MedTech reports. Integrated with existing MRI scanners, the software uses AI to guide image acquisition,…

Read More

By: Judy Mathias
November 5, 2019
Share

Joint Commission: Deadline approaching for submission of CY 2019 eCQM data

Editor's Note The Joint Commission on October 29 announced that the deadline for onboarding to the Direct Data Submission (DDS) Platform for submission of CY 2019 electronic clinical quality measures (eCQMs) is December 20. Organizations that submitted CY 2018 eCQMs through the DDS Platform do not need to be onboarded…

Read More

By: Judy Mathias
October 31, 2019
Share

Can machine learning predict 6-month mortality in cancer patients?

Editor's Note In this study, machine learning algorithms accurately identified cancer patients who were at risk of 6-month mortality. Of 26,525 cancer patients analyzed, machine learning models based on structured electronic health record data accurately predicted short-term mortality risk with good discrimination and positive predictive value. When the gradient boosting…

Read More

By: Judy Mathias
October 28, 2019
Share

Radiologist, AI combination improves breast cancer detection

Editor's Note An artificial intelligence (AI) model was able to detect breast cancer with nearly 90% accuracy when combined with analysis from radiologists, the October 18 Health IT Analytics reports. Researchers from New York University Schools of Medicine and Data Science developed the model to first consider small patches of…

Read More

By: Judy Mathias
October 21, 2019
Share

Join our community

Learn More
Video Spotlight
Live chat by BoldChat