AIMC Topic: Continuity of Patient Care

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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.

BMC medical informatics and decision making Feb 7, 2025
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing fr...
Machine Learning Pregnancy Female Infant, Newborn Humans Ethiopia Infant, Low Birth Weight Continuity of Patient Care Midwifery Young Adult Adult Prenatal Care
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An ethical assessment of professional opinions on concerns, chances, and limitations of the implementation of an artificial intelligence-based technology into the geriatric patient treatment and continuity of care.

GeroScience Jun 4, 2024
With the introduction of an artificial intelligence-based dashboard into the clinic, the project SURGE-Ahead responds to the importance of improving perioperative geriatric patient treatment and continuity of care. The use of artificial intelligence ...
Artificial Intelligence Physician-Patient Relations Geriatrics Continuity of Patient Care Female Qualitative Research Attitude of Health Personnel Aged Male Humans
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Effectiveness of continuity of care after robot-assisted laparoscopic adrenalectomy under ambulatory mode: a single-center intervention study.

Journal of robotic surgery Jan 11, 2024
To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection under ambulatory mode. Patients who underwent robot-assisted laparoscopic adrenalectomy (RALA) in the ambulatory surgery department and urology depart...
Humans Robotics Adrenalectomy Laparoscopy Continuity of Patient Care Robotic Surgical Procedures Potassium
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Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.

International journal of environmental research and public health Jan 22, 2022
Continuity of care (COC) has been shown to possess numerous health benefits for chronic diseases. Specifically, the establishment of its level can facilitate clinical decision-making and enhanced allocation of healthcare resources. However, the use o...
Humans Machine Learning Asthma Continuity of Patient Care Forecasting Retrospective Studies Adult
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Predicting preventable hospital readmissions with causal machine learning.

Health services research Oct 30, 2020
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program).
Diagnostic Techniques and Procedures Continuity of Patient Care Sex Factors Patient Readmission Health Services Research Aged Male Middle Aged Health Status Age Factors Risk Assessment Severity of Illness Index Electronic Health Records Female Risk Factors Humans Machine Learning Retrospective Studies
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Improving breast cancer care coordination and symptom management by using AI driven predictive toolkits.

Breast (Edinburgh, Scotland) Jan 21, 2020
Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and specialists over an extensive period of time. Communication is essential for treatment compliance, lowering error and complication risk, as well as handli...
Breast Neoplasms Continuity of Patient Care Risk Assessment Patient Care Team Humans Decision Making Patient Navigation Artificial Intelligence Health Information Systems
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Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports.

Journal of the American College of Radiology : JACR Dec 29, 2018
PURPOSE: The aims of this study were to assess follow-up recommendations in radiology reports, develop and assess traditional machine learning (TML) and deep learning (DL) models in identifying follow-up, and benchmark them against a natural language...
Humans Machine Learning Benchmarking Continuity of Patient Care Guideline Adherence Natural Language Processing Diagnostic Imaging
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Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain.

Artificial intelligence in medicine Sep 27, 2017
OBJECTIVES: To examine the feasibility of the automated creation of meaningful free-text summaries of longitudinal clinical records, using a new general methodology that we had recently developed; and to assess the potential benefits to the clinical ...
Critical Care Medical Informatics Automation Patient Discharge Summaries Continuity of Patient Care Tertiary Care Centers Feasibility Studies Knowledge Bases Time Factors Health Status Natural Language Processing Retrospective Studies Intensive Care Units Electronic Health Records Length of Stay Humans
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Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics Jun 11, 2016
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...
Comprehension Electronic Health Records Outpatients United States Humans Natural Language Processing Meaningful Use Patient Education as Topic Physicians Health Literacy Continuity of Patient Care Patient Discharge Reading
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Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.

Health economics Jun 8, 2015
For a continuous treatment, the generalised propensity score (GPS) is defined as the conditional density of the treatment, given covariates. GPS adjustment may be implemented by including it as a covariate in an outcome regression. Here, the unbiased...
Critical Care Adult Humans Propensity Score Treatment Outcome Continuity of Patient Care Machine Learning Brain Injuries Algorithms
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