AIMC Topic: Quality Improvement
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What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text.
International journal of medical informatics
May 4, 2020
OBJECTIVES: Various healthcare stakeholders define quality of care in different ways. Public policy could advocate all these concerns. This study was conducted to identify the main themes on patient safety of stakeholders expressed before and after t...
Knowledge transfer as a tool towards improvement of cancer care in low- and middle-income countries. 6th European Roundtable Meeting (ERTM), June 14th, 2019, Berlin, Germany.
Journal of cancer research and clinical oncology
Apr 8, 2020
PURPOSE: To identify key factors for the best practice of knowledge transfer from high-income settings to low- and middle-income settings.
A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt.
International journal of injury control and safety promotion
Apr 1, 2020
The quality of vehicular collision data is crucial for studying the relationship between injury severity and collision factors. Misclassified injury severity data in the crash dataset, however, may cause inaccurate parameter estimates and consequentl...
Opportunities for machine learning to improve surgical ward safety.
American journal of surgery
Feb 26, 2020
BACKGROUND: Delayed recognition of decompensation and failure-to-rescue on surgical wards are major sources of preventable harm. This review assimilates and critically evaluates available evidence and identifies opportunities to improve surgical ward...
State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System.
Journal of the American Heart Association
Feb 13, 2020
Artificial intelligence outperforms human students in conducting neurosurgical audits.
Clinical neurology and neurosurgery
Feb 10, 2020
OBJECTIVES: Neurosurgical audits are an important part of improving the safety, efficiency and quality of care but require considerable resources, time, and funding. To that end, the advent of the Artificial Intelligence-based algorithms offered a no...
[Methods of artificial intelligence and their application in imaging diagnostics].
Magyar onkologia
Feb 4, 2020
Artificial intelligence is a dynamically evolving methodology and, due to its large number of methods, its appearance becomes more important not only in industry but also in all disciplines. Diagnostic instrument manufacturers have realized relativel...
Mixed-integer optimization approach to learning association rules for unplanned ICU transfer.
Artificial intelligence in medicine
Jan 30, 2020
After admission to emergency department (ED), patients with critical illnesses are transferred to intensive care unit (ICU) due to unexpected clinical deterioration occurrence. Identifying such unplanned ICU transfers is urgently needed for medical p...
A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.
International journal of medical informatics
Dec 30, 2019
BACKGROUND: To explore attitudes about artificial intelligence (AI) among staff who utilized AI-based clinical decision support (CDS).
Pelvic lymph node dissection at robot-assisted radical prostatectomy: Assessing utilization and nodal metastases within a statewide quality improvement consortium.
Urologic oncology
Nov 15, 2019
PURPOSE: Several guidelines recommend pelvic lymph node dissection (PLND) at robot-assisted radical prostatectomy (RARP) only when lymph node involvement (LN+) is >2%. Individual surgeon use of PLND is not well-known. We sought to examine variability...
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