AIMC Topic: Risk Adjustment

Clear Filters Showing 1 to 10 of 14 articles

Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data.

Scientific reports Apr 26, 2024
In the current study, we demonstrate the use of a quality framework to review the process for improving the quality and safety of the patient in the health care department. The researchers paid attention to assessing the performance of the health car...
Risk Factors Support Vector Machine Cardiac Surgical Procedures Risk Adjustment Humans
View on PubMed DOI

Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation.

The European journal of health economics : HEPAC : health economics in prevention and care Jan 3, 2024
We experiment with recent ensemble machine learning methods in estimating healthcare costs, utilizing Finnish data containing rich individual-level information on healthcare costs, socioeconomic status and diagnostic data from multiple registries. Ou...
Male Socioeconomic Factors Linear Models Risk Adjustment Humans Health Care Costs Machine Learning Finland Female Empirical Research
View on PubMed DOI

Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock.

JAMA network open Dec 1, 2020
IMPORTANCE: The survival benefit of corticosteroids in septic shock remains uncertain.
Humans Machine Learning Shock, Septic Female Randomized Controlled Trials as Topic Aged Hydrocortisone Critical Care Male Risk Adjustment Prognosis Glucocorticoids Organ Dysfunction Scores Intensive Care Units Fludrocortisone Clinical Decision-Making
View on PubMed DOI

Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.

BMC public health May 1, 2020
BACKGROUND: Risk adjustment models are employed to prevent adverse selection, anticipate budgetary reserve needs, and offer care management services to high-risk individuals. We aimed to address two unknowns about risk adjustment: whether machine lea...
Female Adult Male Middle Aged Humans Machine Learning Prospective Studies Social Determinants of Health Risk Adjustment Health Promotion Insurance, Health Cost-Benefit Analysis
View on PubMed DOI

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data.

BMC health services research Apr 25, 2020
BACKGROUND: The Oncology Care Model (OCM) was developed as a payment model to encourage participating practices to provide better-quality care for cancer patients at a lower cost. The risk-adjustment model used in OCM is a Gamma generalized linear mo...
Machine Learning Computer Simulation Models, Statistical Medical Oncology Linear Models Risk Adjustment Health Care Costs Humans
View on PubMed DOI

Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

JAMA network open Jul 3, 2019
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enh...
Risk Adjustment Comparative Effectiveness Research Clinical Decision Rules Registries Percutaneous Coronary Intervention Coronary Artery Disease Machine Learning Female Aged Male Risk Assessment United States Models, Statistical Postoperative Hemorrhage Humans
View on PubMed DOI

Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults.

PloS one Mar 6, 2019
BACKGROUND: Payers and providers still primarily use ordinary least squares (OLS) to estimate expected economic and clinical outcomes for risk adjustment purposes. Penalized linear regression represents a practical and incremental step forward that p...
Humans Machine Learning Retrospective Studies Female Aged Adult Male Linear Models Comorbidity Risk Adjustment Health Care Costs
View on PubMed DOI

Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Health services research Mar 11, 2018
OBJECTIVE: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.
Risk Adjustment Humans Male Demography Machine Learning United States Chronic Disease Databases, Factual Health Expenditures Female
View on PubMed DOI

A Machine Learning Framework for Plan Payment Risk Adjustment.

Health services research Feb 19, 2016
OBJECTIVE: To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment.
Risk Assessment Humans Databases, Factual Models, Statistical Machine Learning Adult Risk Adjustment Algorithms Middle Aged
View on PubMed DOI

Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Intensive Care Units, Neonatal Risk Adjustment Diagnosis-Related Groups Hospital Administration Logistic Models Female Humans Birth Weight Socioeconomic Factors Premature Birth Artificial Intelligence Outcome Assessment, Health Care Bayes Theorem Prenatal Care Pregnancy Pregnancy Complications Hospital Mortality Gestational Age
View on PubMed DOI
Popular Topics
Recent Journals