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, including medicine and law. However, their performance in highly specialized tasks, such as extracting ICD-10-CM codes from patient notes, remains underexplored.

Objective: The primary objective was to evaluate and compare the performance of ICD-10-CM code extraction by different LLMs with that of human coder.

Benchmarking Large Language Models for Extraction of International Classification of Diseases Codes from Clinical Documentation.

Background: Healthcare reimbursement and coding is dependent on accurate extraction of International Classification of Diseases-tenth revision - clinical modification (ICD-10-CM) codes from clinical documentation. Attempts to automate this task have had limited success. This study aimed to evaluate the performance of large language models (LLMs) in extracting ICD-10-CM codes from unstructured inpatient notes and benchmark them against human coder.

Post-Pulmonary Embolism Phenotypes Described by Invasive Cardiopulmonary Exercise Testing.

Background: Post-pulmonary embolism (PE) dyspnea is common. Existing noninvasive studies have demonstrated that post-PE dyspnea is associated with elevations in right ventricular (RV) afterload, dead space ventilation, and deconditioning. We aimed to use invasive cardiopulmonary exercise testing (iCPET) parameters in patients with post-PE dyspnea to identify unique physiologic phenotypes.

Lung cancer mortality trends and disparities: A cross-sectional analysis 1999-2020.

Background: Lung cancer remains a leading cause of morbidity and mortality in the United States. Given the importance of epidemiological insight on lung cancer outcomes as the foundation for targeted interventions, we aimed to examine lung cancer death trends in the United States in the recent 22-year period, exploring demographic disparities and yearly mortality shifts.

Methods: Mortality information was obtained from the CDC Wide-ranging Online Data for Epidemiologic Research database from the years 1999-2020.

An Exploratory-Descriptive Analysis of Training Programs for Leadership in Health Research and Services in India.

Background: There are several leadership training programs for health researchers in India. However, there is a need to develop context-tailored leadership and mentoring approaches.

Objective: The objective of the study is to critically analyze the available leadership training programs in India for health researchers and service providers, for the leadership domains incorporated and overall training approaches.

Dysautonomia and Headache in the Pediatric Population.

Dysautonomia and headache are 2 common diagnoses within pediatric neurology; in the case of dysautonomia, a lack of consideration may lead to misdiagnosis. Despite being common conditions, there is a lot to learn about each individually as well as collectively. Many of the symptoms between headache and dysautonomia patients overlap making the diagnosis difficult.