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Extracting International Classification of Diseases Codes from Clinical Documentation using Large Language Models.
Appl Clin Inform
November 2024
Surgery - Division of Critical Care, Mount Sinai Hospital / Icahn School of Medicine at Mount Sinai, New York, United States.
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.
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.
View Article and Find Full Text PDFTargeted orbital intervention in the management of sino-orbital mucormycosis cases.
Indian J Ophthalmol
October 2024
Department of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Article Synopsis
- A significant increase in cases of sino-orbital mucormycosis (SOM) was observed during the COVID-19 pandemic, leading to a need for effective treatment options beyond traditional orbital exenteration.
- A study comparing the use of intraorbital injections with Amphotericin B (IOAB) showed that most patients (88.5%) had stable orbital disease after treatment, with minimal deterioration in visual acuity.
- The findings suggest that IOAB may improve outcomes for patients with mild to moderate SOM, as only a small percentage experienced relapse, highlighting its potential as a globe-conserving therapy.
Diagnostics Evaluation of Smart Sure™ Mycobacterium tuberculosis Screening Kit and Smart Sure™ Multidrug-resistant Tuberculosis Detection Kit on Nonsputum Specimens at a Tertiary Care Center of North India.
Int J Mycobacteriol
July 2024
Department of Medicine, All India Institute of Medical Sciences, New Delhi, India.
Background: Tuberculosis (TB) is caused due to the infection of Mycobacterium tuberculosis (MTB) and it can infect the various parts of the human body. The disease is highly prevalent and is the second most common cause of death worldwide after COVID-19. Apart from sputum specimen, it is exceedingly difficult to diagnose due to its paucibacillary nature.
View Article and Find Full Text PDFEvaluation of GeneNAT Real-Time Polymerase Chain Reaction Analyzer and Pre-loaded Chip-Based Mycobacterium tuberculosis and Multidrug-Resistant Tuberculosis Detection in the Diagnosis of Pulmonary Tuberculosis.
Cureus
July 2024
Internal Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Background: Tuberculosis (TB) is still the second causative agent of death worldwide after COVID-19. It is caused by (MTB) infection.
Objective: The aim of the current study was to compare the performance of GeneNAT real-time polymerase chain reaction analyzer and pre-loaded chip-based MTB screening and multidrug-resistant tuberculosis (MDR-TB) detection kit (Smart Sure MTB & MDR-TB, Genetix Biotech Asia Pvt.
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