AIMC Topic: Medicaid

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Predicting Dental General Anesthesia Use among Children with Behavioral Health Conditions.

JDR clinical and translational research Jun 14, 2024
OBJECTIVES: To evaluate how different data sources affect the performance of machine learning algorithms that predict dental general anesthesia use among children with behavioral health conditions.
Anesthesia, General Anesthesia, Dental Medicaid Humans Machine Learning Retrospective Studies Electronic Health Records Female Male Infant Adolescent Child, Preschool Child United States
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Understanding COVID-19 infection among people with intellectual and developmental disabilities using machine learning.

Disability and health journal Mar 15, 2024
BACKGROUND: People with intellectual and developmental disabilities (IDD) were disproportionately affected by the COVID-19 pandemic. Predicting COVID-19 infection has been difficult.
Humans Machine Learning COVID-19 Algorithms Female SARS-CoV-2 Persons with Disabilities Aged United States Young Adult Developmental Disabilities Adult Intellectual Disability Male Medicaid Middle Aged
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Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods.

Journal of managed care & specialty pharmacy May 25, 2021
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely b...
Middle Aged Infant Adolescent Child, Preschool Child Aged Aged, 80 and over Young Adult Adult Male United States Regression Analysis Medication Therapy Management Medicaid Pharmaceutical Services Humans Artificial Intelligence Retrospective Studies Female
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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.

PloS one Mar 18, 2021
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with h...
Analgesics, Opioid Medicaid Social Work Criminal Law Opiate Overdose Risk Factors Aged Young Adult Adult Humans Male Machine Learning Middle Aged Retrospective Studies Risk Assessment Female Adolescent Child United States Predictive Value of Tests
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Robotic Prostatectomy and Prostate Cancer-Related Medicaid Spending: Evidence from New York State.

Journal of general internal medicine Mar 9, 2021
BACKGROUND: Robotic prostatectomy is a costly new technology, but the costs may be offset by changes in treatment patterns. The net effect of this technology on Medicaid spending has not been assessed.
Robotics Prostatic Neoplasms Robotic Surgical Procedures Prostate New York Prostatectomy Medicaid Humans Adult Male Middle Aged Cohort Studies
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Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.

Journal of medical Internet research Aug 17, 2020
BACKGROUND: Twitter is a potentially valuable tool for public health officials and state Medicaid programs in the United States, which provide public health insurance to 72 million Americans.
Medicaid Humans Machine Learning United States Social Media
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Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.

JAMA network open Aug 2, 2019
IMPORTANCE: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Middle Aged Prevalence Primary Health Care United States Natural Language Processing Medicare Health Expenditures Ethnicity Income Health Care Costs Cost of Illness Female Hospitalization Aged Adult Male Medicaid Humans Intensive Care Units
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Cross-Sectional Studies Male Ankle Fractures Middle Aged Medicaid Postoperative Complications Open Fracture Reduction Length of Stay Humans Hospital Mortality Machine Learning Fracture Fixation, Internal United States Algorithms Lung Diseases Hypertension Databases, Factual Medicare Diabetes Mellitus Female Heart Failure Age Factors Risk Factors Anemia Renal Insufficiency
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Machine learning approaches for predicting high cost high need patient expenditures in health care.

Biomedical engineering online Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
United States Chronic Disease Health Expenditures Young Adult Data Collection Adult Humans Economics, Medical Health Care Costs Male Machine Learning Middle Aged Health Services Research Algorithms Adolescent Female Texas Aged Medicaid Multimorbidity
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Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.

Journal of opioid management Jan 1, 2025
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the aim of identifying and interpreting the risk factors associated with high-dose opioid prescribing.
Female Risk Factors Aged Young Adult Adult Male Humans Machine Learning Analgesics, Opioid Sex Factors Middle Aged Sociodemographic Factors Risk Assessment Practice Patterns, Physicians' United States Drug Prescriptions Socioeconomic Factors Medicaid Age Factors
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