AIMC Topic: Quality of Health Care

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Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.

Studies in health technology and informatics
Hospital systems frequently implement quality measures to quantify healthcare processes and patient outcomes. One such measure that has previously been used is the Surgical Care Improvement Project (SCIP) quality measure of perioperative beta blocker...

Advocating for Safe, Quality and Just Care: What Nursing Leaders Need to Know about Artificial Intelligence in Healthcare Delivery.

Nursing leadership (Toronto, Ont.)
The rapid integration of artificial intelligence (AI) into healthcare delivery has not only provided a glimpse into an enhanced digital future but also raised significant concerns about the social and ethical implications of this evolution. Nursing l...

A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

The Gerontologist
BACKGROUND AND OBJECTIVES: Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment.

The role of artificial intelligence in orthopaedic surgery.

British journal of hospital medicine (London, England : 2005)
Despite significant advances in orthopaedic surgery, variability still exists between providers and practice locations, and process inefficiencies are found throughout the health care continuum. Evolving technologies, namely artificial intelligence, ...

Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.

Studies in health technology and informatics
Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods. Predicting length of stay (LOS) for these patients during their hospitalizations can assist healthcare organizations in allocating hospital resources...