AIMC Topic: Clinical Coding

Clear Filters Showing 41 to 50 of 69 articles

A method for modeling co-occurrence propensity of clinical codes with application to ICD-10-PCS auto-coding.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Natural language processing methods for medical auto-coding, or automatic generation of medical billing codes from electronic health records, generally assign each code independently of the others. They may thus assign codes for closely re...

Assessing the Utility of Automatic Cancer Registry Notifications Data Extraction from Free-Text Pathology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Cancer Registries record cancer data by reading and interpreting pathology cancer specimen reports. For some Registries this can be a manual process, which is labour and time intensive and subject to errors. A system for automatic extraction of cance...

Using ontologies to improve semantic interoperability in health data.

Journal of innovation in health informatics
The present-day health data ecosystem comprises a wide array of complex heterogeneous data sources. A wide range of clinical, health care, social and other clinically relevant information are stored in these data sources. These data exist either as s...

Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Clinical coding is critical for hospital reimbursement, quality assessment, and health care planning. In Scandinavia, however, coding is often done by junior doctors or medical secretaries, leading to high rates of coding errors. Artifici...

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Diagnosis codes documented in electronic health records (EHR) are often relied upon to clinically phenotype patients for biomedical research. However, these diagnoses can be incomplete and inaccurate, leading to false negatives when search...

From Admission to Discharge: Leveraging NLP for Upstream Primary Coding with SNOMED CT.

Journal of medical systems
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital ClĂ­nic de Barcelona. The project focuses on enhancing the accuracy and efficiency of clinical coding by automating the process from patient admission, whi...

Exploring the Potential of GPT-4 in Creating Billing Codes from Clinic Notes.

Studies in health technology and informatics
Creating standardized billing codes from clinic notes is challenging due to the complexity of over 22,000 codes and the unstructured nature of medical records. This paper investigates how well GPT-4, can automate CPT/HCPCS codes generation. To assess...

Optimizing Automated KCD Coding: A Retrieval-Verification Approach.

Studies in health technology and informatics
This study proposes a two-step Retrieval-Verification system for automating the assignment of Korean Standard Classification of Diseases (KCD) codes to free-text diagnoses. The system uses SapBERT-XLMR for initial retrieval, followed by Llama 3.1 for...

Few-Shot Learning of Medical Coding Systems: A Case Study on Death Certificates with BERT and Mistral.

Studies in health technology and informatics
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and planning. The World Health Organization recommends using the ICD-10 system to standardize death certificate coding, a task often supported by semi-aut...

Assessing the validity of ICD-10 administrative data in coding comorbidities.

BMJ health & care informatics
OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support health informatic research. This study assessed the validity of coding comorbidities in the International Classification of Diseases, 10th Revision (IC...