AIMC Topic: Efficiency, Organizational
Clear Filters Showing 21 to 30 of 49 articles
Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 9, 2021
OBJECTIVES: Clinical artificial intelligence (AI) is a novel technology, and few economic evaluations have focused on it to date. Before its wider implementation, it is important to highlight the aspects of AI that challenge traditional health techno...
Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Patient "no-shows" are missed appointments resulting in clinical inefficiencies, revenue loss, and discontinuity of care. Using secondary electronic health record (EHR) data, we used machine learning to predict patient no-shows in follow-up and new p...
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.
International journal of environmental research and public health
Aug 30, 2020
AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.
IoT Based Predictive Maintenance Management of Medical Equipment.
Journal of medical systems
Feb 20, 2020
Technological advancements are the main drivers of the healthcare industry as it has a high impact on delivering the best patient care. Recent years witnessed unprecedented growth in the number of medical equipment manufactured to aid high-quality pa...
Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization.
Journal of medical systems
Dec 10, 2019
We conducted a systematic review of literature to better understand the role of new technologies in the perioperative period; in particular we focus on the administrative and managerial Operating Room (OR) perspective. Studies conducted on adult (≥ 1...
Measuring and improving adaptive capacity in resilient systems by means of an integrated DEA-Machine learning approach.
Applied ergonomics
Oct 14, 2019
Resilient systems strive to enhance the safety of complex systems through building and developing adaptive technological and organizational capacities. This study aims at analyzing and improving the level of adaptive capacity in a petrochemical plant...
Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.
Journal of the American College of Surgeons
Jul 13, 2019
BACKGROUND: Accurate estimation of operative case-time duration is critical for optimizing operating room use. Current estimates are inaccurate and earlier models include data not available at the time of scheduling. Our objective was to develop stat...
Improving Workflow Efficiency for Mammography Using Machine Learning.
Journal of the American College of Radiology : JACR
May 30, 2019
OBJECTIVE: The aim of this study was to determine whether machine learning could reduce the number of mammograms the radiologist must read by using a machine-learning classifier to correctly identify normal mammograms and to select the uncertain and ...
Enabling artificial intelligence in high acuity medical environments.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Apr 5, 2019
Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in terms of improved patient outcome as well as increased efficiency. Yet, only very few applications have been reported because of the limited accessibi...
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.
Journal of medical systems
Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
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