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":"实施者报告：功能性癫痫发作障碍ICD-10代码F44.5审查。","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":null,"pages":null},"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":"{\"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\":null,\"pages\":null},\"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}","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}
Implementer report: ICD-10 code F44.5 review for functional seizure disorder.
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.
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