Sana F Ali, Yarden Bornovski, Margaret Gopaul, Daniela Galluzzo, Joseph Goulet, Stephanie Argraves, Ebony Jackson-Shaheed, Kei-Hoi Cheung, Cynthia A Brandt, Hamada Hamid Altalib
{"title":"Implementer report: ICD-10 code F44.5 review for functional seizure disorder.","authors":"Sana F Ali, Yarden Bornovski, Margaret Gopaul, Daniela Galluzzo, Joseph Goulet, Stephanie Argraves, Ebony Jackson-Shaheed, Kei-Hoi Cheung, Cynthia A Brandt, Hamada Hamid Altalib","doi":"10.1136/bmjhci-2023-100746","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR).</p><p><strong>Methods: </strong>The study used an informatics search tool, a natural language processing algorithm and a chart review to validate FSD coding.</p><p><strong>Results: </strong>The positive predictive value (PPV) for code F44.5 was calculated to be 44%.</p><p><strong>Discussion: </strong>ICD-10 introduced a specific code for FSD to improve coding validity. However, results revealed a meager (44%) PPV for code F44.5. Evaluation of the low diagnostic precision of FSD identified inconsistencies in the ICD-10 and VA EHR systems.</p><p><strong>Conclusion: </strong>Information system improvements may increase the precision of diagnostic coding by clinicians. Specifically, the EHR problem list should include commonly used diagnostic codes and an appropriately curated ICD-10 term list for 'seizure disorder,' and a single ICD code for FSD should be classified under neurology and psychiatry.</p>","PeriodicalId":9050,"journal":{"name":"BMJ Health & Care Informatics","volume":"30 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/82/62/bmjhci-2023-100746.PMC10514602.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Health & Care Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjhci-2023-100746","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The study aimed to measure the validity of International Classification of Diseases, 10th Edition (ICD-10) code F44.5 for functional seizure disorder (FSD) in the Veterans Affairs Connecticut Healthcare System electronic health record (VA EHR).
Methods: The study used an informatics search tool, a natural language processing algorithm and a chart review to validate FSD coding.
Results: The positive predictive value (PPV) for code F44.5 was calculated to be 44%.
Discussion: ICD-10 introduced a specific code for FSD to improve coding validity. However, results revealed a meager (44%) PPV for code F44.5. Evaluation of the low diagnostic precision of FSD identified inconsistencies in the ICD-10 and VA EHR systems.
Conclusion: Information system improvements may increase the precision of diagnostic coding by clinicians. Specifically, the EHR problem list should include commonly used diagnostic codes and an appropriately curated ICD-10 term list for 'seizure disorder,' and a single ICD code for FSD should be classified under neurology and psychiatry.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
