Latest AI and machine learning research in reimbursement for healthcare professionals.
We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We leverage a deep neural network that combines word embeddings, recurrent units, and neural attention, for the generation of intermediate representations of the textual ...
When electronic health record (EHR) data are used, multiple approaches may be available for measuring the same variable, introducing potentially confounding factors. While additional information may be gleaned and residual confounding reduced through resource-intensive assessment methods such as natural language processing (NLP), whether the added benefits offset the added cost of the additional r...
The objective of this study was to evaluate the effects of peroxisome proliferator-activated receptor Ī± (PPARĪ±) activation by clofibrate on both mitoc...
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable inform...
In this study, we developed a novel unfixed-type experimental system that we call a '3-DOF servosphere.' This system comprises one sphere and three om...
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (ICD) shock is often delivered to patients with an ...
BACKGROUND: Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) has been designed as standard clinical terminology for annotating Elect...
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies for cutaneous disease, some dedicated to the domain ...
BACKGROUND: In the United States, 795,000 people suffer strokes each year; 10-15Ā % of these strokes can be attributed to stenosis caused by plaque in ...
OBJECTIVE: Natural language processing methods for medical auto-coding, or automatic generation of medical billing codes from electronic health record...
Purpose. To assess the quality of life (QOL) as a predictor of volume reduction in women undergoing complex physical therapy (CPT) for lymphoedema fol...
BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinica...
OBJECTIVE: The purpose of this study was to discuss the mode of increase in leg volume during complex physical therapy (CPT) for lymphedema using subc...
Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey useful information for roughly determining the ana...
INTRODUCTION: Robotic application to cholecystectomy has dramatically increased, though its impact on cost of care and reimbursement has not been eluc...
Automatic coding from clinical notes has been studied extensively for International Classification of Diseases (ICD) codes, yet broad Current Procedur...
The application of Large Language Models (LLMs) to diagnostic decision-making has garnered growing interest. However, existing benchmarks largely focu...
Perioperative risk prediction models are often limited by narrow surgical populations, incomplete intraoperative data, poor calibration, and limited i...
Problem Authentic patient encounters are the raw material of clinical learning, yet the educational resources learners receive are rarely keyed to the...
It is widely assumed that continued pretraining (CPT) on a narrow, out-of-distribution corpus such as raw biological sequence must trade away a genera...