AIMC Topic: Subacute Care

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Emerging Models of Care Using IT in Long-Term/Post-Acute Care: A Comparative Analysis of Human and AI-Driven Qualitative Insights.

Journal of gerontological nursing Apr 1, 2025
PURPOSE: As the global population ages, long-term/post-acute care (LTPAC) systems face challenges in ensuring quality care for older adults with complex medical needs. Using health information technology (IT) is a promising strategy to address these ...
Aged, 80 and over Male Female Aged Qualitative Research Patient-Centered Care Medical Informatics Long-Term Care Subacute Care Humans Artificial Intelligence
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Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care.

Journal of the American Medical Directors Association Jun 21, 2024
This article proposes a framework for examining the ethical and legal concerns for using artificial intelligence (AI) in post-acute and long-term care (PA-LTC). It argues that established frameworks on health, AI, and the law should be adapted to spe...
Aged United States Nursing Homes Humans Artificial Intelligence Long-Term Care Subacute Care
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Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

Journal of the American Medical Directors Association Oct 11, 2023
OBJECTIVES: To determine the scope of the application of natural language processing to free-text clinical notes in post-acute care and provide a foundation for future natural language processing-based research in these settings.
Documentation Subacute Care Humans Natural Language Processing
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Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Our objective was to detect common barriers to post-acute care (B2PAC) among hospitalized older adults using natural language processing (NLP) of clinical notes from patients discharged home when a clinical decision support system recommended post-ac...
Aged Natural Language Processing Patient Preference Subacute Care Referral and Consultation Machine Learning Electronic Health Records Humans
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Artificial neural network-based prediction of prolonged length of stay and need for post-acute care in acute coronary syndrome patients undergoing percutaneous coronary intervention.

European journal of clinical investigation Nov 29, 2020
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervention (PCI) is common and costly. Risk models for predicting prolonged LOS and post-acute care have limited accuracy. Our goal was to develop and valida...
Hospitals, Rehabilitation Humans Middle Aged Risk Assessment Angina, Unstable Non-ST Elevated Myocardial Infarction Aged Length of Stay Neural Networks, Computer Transitional Care ST Elevation Myocardial Infarction Male Percutaneous Coronary Intervention Acute Coronary Syndrome Female Skilled Nursing Facilities Patient Discharge Subacute Care Nursing Homes Hospices
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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Disability Evaluation Aged Geriatric Assessment Aged, 80 and over Treatment Outcome Male Occupational Therapy Rehabilitation Centers Surveys and Questionnaires Hip Fractures Retrospective Studies Subacute Care Humans Physical Therapy Modalities Female Machine Learning
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Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: This study aims to (1) review machine learning (ML)-based models for early infection diagnostic and prognosis prediction in post-acute care (PAC) settings, (2) identify key risk predictors influencing infection-related outcomes, and (3) e...
Prognosis Electronic Health Records Subacute Care Humans Machine Learning
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