AIMC Topic: Patient Readmission

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Prediction of Readmissions in the German DRG System Based on §21 Datasets.

Studies in health technology and informatics Jan 1, 2018
Hospital readmissions receive increasing interest, since they are burdensome for patients and costly for healthcare providers. For the calculation of reimbursement fees, in Germany there is the German-Diagnosis Related Groups (G-DRG) system. For ever...
Forecasting Length of Stay Patient Readmission Humans Machine Learning Germany Diagnosis-Related Groups
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Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2018
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out ...
Machine Learning Forecasting Hospitalization Humans Heart Failure Risk Assessment Patient Readmission United States Patient Discharge
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Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

Journal for healthcare quality : official publication of the National Association for Healthcare Quality Jan 1, 2018
A diverse universe of statistical models in the literature aim to help hospitals understand the risk factors of their preventable readmissions. However, these models are usually not necessarily applicable in other contexts, fail to achieve good discr...
Adult Male Middle Aged Aged Aged, 80 and over Young Adult Patient Discharge Patient Readmission Centers for Medicare and Medicaid Services, U.S. Adolescent United States Models, Statistical Machine Learning Retrospective Studies Humans Algorithms Female Forecasting Risk Factors
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Contribution of Natural Language Processing in Predicting Rehospitalization Risk.

Medical care Aug 1, 2017
Risk Humans Risk Factors Natural Language Processing Patient Readmission
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A Novel Model for Predicting Rehospitalization Risk Incorporating Physical Function, Cognitive Status, and Psychosocial Support Using Natural Language Processing.

Medical care Mar 1, 2017
BACKGROUND: With the increasing focus on reducing hospital readmissions in the United States, numerous readmissions risk prediction models have been proposed, mostly developed through analyses of structured data fields in electronic medical records a...
Academic Medical Centers Focus Groups Health Status Natural Language Processing Patient Readmission Social Support Cognition Models, Theoretical Humans Risk Factors Mental Health Risk Assessment
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Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches.

JAMA cardiology Feb 1, 2017
IMPORTANCE: Several attempts have been made at developing models to predict 30-day readmissions in patients with heart failure, but none have sufficient discriminatory capacity for clinical use. Machine-learning (ML) algorithms represent a novel appr...
Humans Machine Learning Algorithms Prognosis Heart Failure Models, Statistical Patient Readmission Electronic Health Records Predictive Value of Tests United States Registries Follow-Up Studies
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PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2017
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthca...
Patient Readmission Humans New York City Machine Learning Algorithms Models, Statistical Electronic Health Records Bayes Theorem Cohort Studies Heart Failure Computational Biology
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A clinical perspective on the relevance of research domain criteria in electronic health records.

The American journal of psychiatry Apr 1, 2015
OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatric syndromes, and its poor correspondence to underlying neurobiology, have been well established. The Research Domain Criteria (RDoC), a proposed dime...
Schizophrenia Risk Factors Psychotic Disorders Hospitalization Patient Readmission Electronic Health Records Adult Length of Stay Female Male Cohort Studies Reproducibility of Results Middle Aged Natural Language Processing Humans Depressive Disorder, Major Mental Disorders Information Storage and Retrieval Models, Psychological Schizophrenic Psychology
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