Practice Management

Reimbursement

Latest AI and machine learning research in reimbursement for healthcare professionals.

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Showing 22-42 of 1,795 articles
Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes.

We used machine learning (ML) to characterize 894,154 medical records of outpatient visits from the ...

Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.

BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records...

How to leverage large language models for automatic ICD coding.

ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healt...

Non-Face-to-Face Services in Neurologic Care.

Neurologists in ambulatory settings struggle with low appointment availability and increased work re...

Active learning and margin strategies for arrhythmia classification in implantable devices.

BACKGROUND AND OBJECTIVES: The massive storage of cardiac arrhythmic episodes from Implantable Cardi...

Application of Clinical Department-Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study.

BACKGROUND: The accuracy of the ICD-10-CM (International Classification of Diseases, Tenth Revision,...

Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection.

BACKGROUND: The International Classification of Diseases (ICD), developed by the World Health Organi...

Enhanced Phenotype Identification of Common Ocular Diseases in Real-World Datasets.

OBJECTIVE: For studies using real-world data, accurately identifying patients with phenotypes of int...

Large language models vs human for classifying clinical documents.

BACKGROUND: Accurate classification of medical records is crucial for clinical documentation, partic...

Machine learning-based models for prediction of innovative medicine reimbursement decisions in Scotland.

OBJECTIVE: This study aimed to investigate the critical factors for reimbursement decisions of innov...

Reimbursement and Regulatory Landscape for Artificial Intelligence in Medical Technology.

Integration of artificial intelligence (AI) into medical devices and services promises significant i...

A prospective study comparing highly qualified Molecular Tumor Boards with AI-powered software as a medical device.

BACKGROUND: The implementation of cancer precision medicine in Japan is deeply intertwined with insu...

AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity.

BACKGROUND: Immunogenic cell death (ICD) inducers are often identified in phenotypic screening campa...

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study.

BACKGROUND: Rare diseases affect millions worldwide but sometimes face limited research focus indivi...

LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge.

Medical coding involves assigning codes to clinical free-text documents, specifically medical record...

Cost-Effectiveness for Artificial Intelligence in Colonoscopy.

Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...

Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models.

BACKGROUND:  Large language models (LLMs) have shown promise in various professional fields, includi...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 17.

In this update, we discuss a position statement from the National Institute of Health and Care Excel...

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