AIMC Topic: Patient Safety
Clear Filters Showing 71 to 80 of 178 articles
Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.
BioMed research international
Apr 8, 2019
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the liver have not gained wide acceptance. We decided to analyze the learning curve in the field of robotic liver surgery comparing short-term outcomes b...
Machine learning concepts, concerns and opportunities for a pediatric radiologist.
Pediatric radiology
Mar 29, 2019
Machine learning, a subfield of artificial intelligence, is a rapidly evolving technology that offers great potential for expanding the quality and value of pediatric radiology. We describe specific types of learning, including supervised, unsupervis...
Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.
BMC medical informatics and decision making
Mar 18, 2019
BACKGROUND: Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to dete...
Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.
Health informatics journal
Mar 7, 2019
Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text nature poses a major analytic challenge. The objective of this study was to test the capability of auton...
An automated pipeline for analyzing medication event reports in clinical settings.
BMC medical informatics and decision making
Dec 7, 2018
BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medicatio...
A prototype of knowledge-based patient safety event reporting and learning system.
BMC medical informatics and decision making
Dec 7, 2018
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems remain in the early stage that...
How can the presence of a surgical care practitioner improve training for staff who are learning how to scrub for robotics cases in a urology theatre?
Journal of perioperative practice
Nov 12, 2018
AIM: This study examines how a surgical care practitioner can contribute to the learning needs of junior scrub staff learning to scrub for urological robotics cases. Key themes include education, technical training, non-technical skills, patient safe...
The Role of the FDA in Ensuring the Safety and Efficacy of Artificial Intelligence Software and Devices.
Journal of the American College of Radiology : JACR
Oct 30, 2018
Application of electronic trigger tools to identify targets for improving diagnostic safety.
BMJ quality & safety
Oct 5, 2018
Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify errors, high-risk situations, and adverse events. Electronic trigger (e-trigger) tools, which mine vast amounts of patient data to identify signals i...
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