AIMC Topic: Clinical Coding
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Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding.
Studies in health technology and informatics
Sep 24, 2024
Encapsulating a patient's clinical narrative into a condensed, informative summary is indispensable to clinical coding. The intricate nature of the clinical text makes the summarisation process challenging for clinical coders. Recent developments in ...
What Kind of Transformer Models to Use for the ICD-10 Codes Classification Task.
Studies in health technology and informatics
Aug 22, 2024
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modifications (CM) is inherently complex and expensive. Natural Language Processing (NLP) assists by simplifying the analysis of unstructured data from electro...
Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes.
Studies in health technology and informatics
May 23, 2024
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complai...
Secondary Use of Clinical Problem List Descriptions for Bi-Encoder Based ICD-10 Classification.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Annotated language resources are essential for supervised machine learning methods. In the clinical domain, such data sets can boost use-case specific natural language processing services. In this work, we have analyzed a clinical problem list table ...
Machine Learning for Medical Coding in Healthcare Surveys.
Vital and health statistics. Ser. 1, Programs and collection procedures
Oct 1, 2021
Objectives Medical coding, or the translation of healthcare information into numeric codes, is expensive and time intensive. This exploratory study evaluates the use of machine learning classifiers to perform automated medical coding for large statis...
A Deep Learning Framework for Automated ICD-10 Coding.
Studies in health technology and informatics
May 27, 2021
The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of the widely used classification system for diagnoses and procedures to assign diagnosis codes to Electronic Health Record (EHR) associated with a pati...
Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.
Medical care
Nov 1, 2020
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowable secondary diagnoses in January 2011 and its association with financial penalties under the Hospita...
Supervised Learning for the ICD-10 Coding of French Clinical Narratives.
Studies in health technology and informatics
Jun 16, 2020
Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, after a brief reminder of the existing work, we present a corpus of French clinical narratives annotated with the ICD-10 codes. Then, we propose automa...
Imputation and characterization of uncoded self-harm in major mental illness using machine learning.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2020
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Putting the "why" in "EHR": capturing and coding clinical cognition.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2019
Complaints about electronic health records, including information overload, note bloat, and alert fatigue, are frequent topics of discussion. Despite substantial effort by researchers and industry, complaints continue noting serious adverse effects o...
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