AIMC Topic: Quality Improvement

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Natural language processing for the surveillance of postoperative venous thromboembolism.

Surgery Jun 3, 2021
BACKGROUND: The objective of this study was to develop a portal natural language processing approach to aid in the identification of postoperative venous thromboembolism events from free-text clinical notes.
Retrospective Studies Female Male Humans ROC Curve Venous Thrombosis Natural Language Processing Quality Improvement Middle Aged Postoperative Complications Cohort Studies
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Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set.

Journal of the Academy of Nutrition and Dietetics Apr 23, 2021
Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure, we use state-of-the-art clustering techniques to identify 2 phenotypes characterizing the episodes of nutrition care observed in the National Quality...
Datasets as Topic Medical Informatics Dietetics Academies and Institutes Humans Machine Learning Quality Improvement Episode of Care
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Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm.

Journal of the American College of Surgeons Apr 5, 2021
BACKGROUND: Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. To...
Datasets as Topic Medical Audit Aged Electronic Health Records Humans Middle Aged Surgical Wound Infection Female Adult Quality Improvement Hospitals Machine Learning Risk Factors Male
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Missed Incidental Pulmonary Embolism: Harnessing Artificial Intelligence to Assess Prevalence and Improve Quality Improvement Opportunities.

Journal of the American College of Radiology : JACR Feb 16, 2021
PURPOSE: Incidental pulmonary embolism (IPE) can be found on body CT. The aim of this study was to evaluate the feasibility of using artificial intelligence to identify missed IPE on a large number of CT examinations.
Prevalence Pulmonary Embolism Quality Improvement Prospective Studies Retrospective Studies Tomography, X-Ray Computed Humans Artificial Intelligence
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Bridging the artificial intelligence valley of death in surgical decision-making.

Surgery Feb 16, 2021
Decision Support Systems, Clinical Disease Management Quality Improvement General Surgery Critical Pathways Artificial Intelligence Decision Support Techniques Clinical Decision-Making Humans
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From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods.

Journal of general internal medicine Jan 19, 2021
Despite increasing interest in how artificial intelligence (AI) can augment and improve healthcare delivery, the development of new AI models continues to outpace adoption in existing healthcare processes. Integration is difficult because current app...
Delivery of Health Care Artificial Intelligence Quality Improvement Research Design Humans
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Striving for quality improvement: can artificial intelligence help?

Best practice & research. Clinical gastroenterology Dec 29, 2020
Artificial intelligence (AI) is of keen interest for global health development as potential support for current human shortcomings. Gastrointestinal (GI) endoscopy is an excellent substrate for AI, since it holds the genuine potential to improve qual...
Stomach Neoplasms Humans Endoscopy, Gastrointestinal Artificial Intelligence Quality Improvement Prospective Studies
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Improving ED Emergency Severity Index Acuity Assignment Using Machine Learning and Clinical Natural Language Processing.

Journal of emergency nursing Dec 24, 2020
INTRODUCTION: Triage is critical to mitigating the effect of increased volume by determining patient acuity, need for resources, and establishing acuity-based patient prioritization. The purpose of this retrospective study was to determine whether hi...
Male Middle Aged Adolescent Predictive Value of Tests Triage Child Humans United States Female Aged Quality Improvement Adult Natural Language Processing Machine Learning Emergency Service, Hospital Retrospective Studies Patient Acuity Electronic Health Records
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Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Dec 19, 2020
Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most investigated, however, upper GI follows the lead. Since endoscopy ...
Colonoscopy Humans Diagnosis, Computer-Assisted Endoscopy, Gastrointestinal Artificial Intelligence Quality Improvement
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Intelligent checklists improve checklist compliance in the intensive care unit: a prospective before-and-after mixed-method study.

British journal of anaesthesia Nov 17, 2020
BACKGROUND: We examined whether a context and process-sensitive 'intelligent' checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds.
Benchmarking Critical Care Quality Improvement Guideline Adherence Health Status Humans Paper Length of Stay Artificial Intelligence Practice Patterns, Physicians' Prospective Studies Teaching Rounds Decision Support Systems, Clinical Quality Indicators, Health Care Patient Safety Attitude to Computers Intensive Care Units Practice Guidelines as Topic Checklist
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