AIMC Topic: Clinical Coding
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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...
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding.
Drug safety
Jun 1, 2019
INTRODUCTION: Adverse drug reaction (ADR) detection in hospitals is heavily reliant on spontaneous reporting by clinical staff, with studies in the literature pointing to high rates of underreporting [1]. International Classification of Diseases, 10t...
[AI in medicine and its future direction by introducing ICD11].
Nihon Ronen Igakkai zasshi. Japanese journal of geriatrics
Jan 1, 2019
Linking Health Records with Knowledge Sources Using OWL and RDF.
Studies in health technology and informatics
Jan 1, 2019
This paper describes a method by which the Web Ontology Language (OWL) can be used to specify a highly structured health record, following internationally recognised standards such as ISO 13606 and HL7 CDA. The structured record is coded using scheme...
Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer.
JCO clinical cancer informatics
Dec 1, 2018
PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm with manual coding by radiologists, and the combination of the two methods, for the identification of patients whose computed tomography (CT) reports ra...
Development of an Automatic Coding System for Digestive Endoscopies.
Studies in health technology and informatics
Jan 1, 2018
Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. This method offers an aut...
Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.
Studies in health technology and informatics
Jan 1, 2018
Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Australian Modification) and ACHI (Australian Classification of Health Interventions) in acute and sub-acute hospitals in Australia for funding, insurance ...
Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.
Studies in health technology and informatics
Jan 1, 2017
Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods. Predicting length of stay (LOS) for these patients during their hospitalizations can assist healthcare organizations in allocating hospital resources...
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