AIMC Topic: Process Assessment, Health Care

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Proactive process evaluation of precision medicine platforms: a roadmap.

BMJ health & care informatics Jul 20, 2025
BACKGROUND: Precision and genomic medicine have significant potential to improve population health. However, despite rapid technological development and increasing data complexity, practical applications of precision medicine remain limited. There is...
Precision Medicine Genomics Humans Process Assessment, Health Care
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AI-empowered health coaching for university students: A mixed-method process evaluation.

Computers in biology and medicine Jun 11, 2025
BACKGROUND: Artificial Intelligence (AI)-empowered health coaching (HC) has the potential to enhance HC effectiveness by providing real-time, evidence-based support. However, integrating AI into live HC sessions presents challenges, particularly in r...
Students Female Humans Universities Male Adult Artificial Intelligence Process Assessment, Health Care Focus Groups Young Adult Randomized Controlled Trials as Topic Mentoring
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Aged, 80 and over Male Aged Databases, Factual Registries Massachusetts Time Factors Treatment Outcome Risk Factors Likelihood Functions Data Mining Hospital Mortality Multivariate Analysis Cause of Death Female Percutaneous Coronary Intervention Hospitals Process Assessment, Health Care Propensity Score Logistic Models Machine Learning Quality Indicators, Health Care Middle Aged Humans Algorithms
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Classifier calibration using splined empirical probabilities in clinical risk prediction.

Health care management science Feb 21, 2014
The aims of supervised machine learning (ML) applications fall into three broad categories: classification, ranking, and calibration/probability estimation. Many ML methods and evaluation techniques relate to the first two. Nevertheless, there are ma...
Probability Calibration Myocardial Infarction Process Assessment, Health Care England ROC Curve Hospital Mortality Algorithms Risk Assessment Artificial Intelligence Humans
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