AIMC Topic: Quality Assurance, Health Care
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Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance.
Medical physics
Jun 1, 2020
BACKGROUND: Recent advances in machine and deep learning based on an increased availability of clinical data have fueled renewed interest in computerized clinical decision support systems (CDSSs). CDSSs have shown great potential to improve healthcar...
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
The journal of trauma and acute care surgery
May 1, 2020
BACKGROUND: Incomplete prehospital trauma care is a significant contributor to preventable deaths. Current databases lack timelines easily constructible of clinical events. Temporal associations and procedural indications are critical to characterize...
[Potential of methods of artificial intelligence for quality assurance].
Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
Apr 1, 2020
BACKGROUND: Procedures with artificial intelligence (AI), such as deep neural networks, show promising results in automatic analysis of ophthalmological imaging data.
The AI Era: The Role of Medical Imaging and Radiation Therapy Professionals.
Radiologic technology
Mar 1, 2020
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
Drug safety
Mar 1, 2020
Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.
Drug safety
Sep 1, 2019
INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health authorities Good Clinical Practices (GCP) inspections and audits. Moreover, safety under-reporting poses a risk to patient safety and data integrity. The...
Ripe for Disruption? Adopting Nurse-Led Data Science and Artificial Intelligence to Predict and Reduce Hospital-Acquired Outcomes in the Learning Health System.
Nursing administration quarterly
Jan 1, 2019
Nurse leaders are dually responsible for resource stewardship and the delivery of high-quality care. However, methods to identify patient risk for hospital-acquired conditions are often outdated and crude. Although hospitals and health systems have b...
Automated Classification of Multi-Labeled Patient Safety Reports: A Shift from Quantity to Quality Measure.
Studies in health technology and informatics
Jan 1, 2017
Over the past two decades, there have seen an ever-increasing amount of patient safety reports yet the capacity of extracting useful information from the reports remains limited. Classification of patient safety reports is the first step of performin...
Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.
Studies in health technology and informatics
Jan 1, 2017
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling...
Technical Note: Unified imaging and robotic couch quality assurance.
Medical physics
Sep 1, 2016
PURPOSE: To introduce a simplified quality assurance (QA) procedure that integrates tests for the linac's imaging components and the robotic couch. Current QA procedures for evaluating the alignment of the imaging system and linac require careful pos...
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