AIMC Topic: Medicare
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.
BMJ open
Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.
JAMA network open
Mar 1, 2019
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.
Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.
JAMA network open
Mar 1, 2019
IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.
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...
Humans
Machine Learning
Algorithms
Databases, Factual
Female
Risk Factors
Cross-Sectional Studies
Fracture Fixation, Internal
Lung Diseases
Hospital Mortality
Medicare
Renal Insufficiency
Male
United States
Heart Failure
Ankle Fractures
Middle Aged
Hypertension
Anemia
Medicaid
Diabetes Mellitus
Open Fracture Reduction
Postoperative Complications
Age Factors
Length of Stay
Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.
Journal of pain & palliative care pharmacotherapy
Jan 31, 2019
Use of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify...
Young Adult
Adult
Male
Middle Aged
Humans
Analgesics, Opioid
Case-Control Studies
Retrospective Studies
Medicare
Electronic Health Records
Opioid-Related Disorders
Female
Health Care Costs
Aged
Adolescent
Cost of Illness
United States
Longitudinal Studies
Follow-Up Studies
Natural Language Processing
Economic benefits of microprocessor controlled prosthetic knees: a modeling study.
Journal of neuroengineering and rehabilitation
Sep 5, 2018
BACKGROUND: Advanced prosthetic knees allow for more dynamic movements and improved quality of life, but payers have recently started questioning their value. To answer this question, the differential clinical outcomes and cost of microprocessor-cont...
Characterizing Autoimmune Disease-associated Diffuse Large B-cell Lymphoma in a SEER-Medicare Cohort.
Clinical lymphoma, myeloma & leukemia
Dec 2, 2017
BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a significant risk factor for diffuse large B-cell lymphoma (DLBCL). However, little is known about the demographics or clinical outcomes of DLBCL that...
Determining health care cost drivers in older Hodgkin lymphoma survivors using interpretable machine learning methods.
Journal of managed care & specialty pharmacy
Apr 1, 2025
BACKGROUND: The cost of health care for patients with Hodgkin lymphoma (HL) is projected to rise, making it essential to understand expenditure drivers across different demographics, including the older adult population. Although older HL patients co...
Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.
The American journal of managed care
May 1, 2024
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified ...
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