Rachel Y. Lee PhD, RN, Aviv Y. Landau PhD, MSW, Paul M. Heider PhD, Rochelle F. Hanson PhD, Hannah C. Espeleta PhD, Kenrick D. Cato PhD, RN, CPHIMS, FAAN, FACMI, Maxim Topaz PhD, RN, MA, FAAN, FIAHSI, FACMI
{"title":"通过诊断代码和自由文本电子病历临床笔记估算初级保健中青少年虐待和忽视儿童的普遍程度。","authors":"Rachel Y. Lee PhD, RN, Aviv Y. Landau PhD, MSW, Paul M. Heider PhD, Rochelle F. Hanson PhD, Hannah C. Espeleta PhD, Kenrick D. Cato PhD, RN, CPHIMS, FAAN, FACMI, Maxim Topaz PhD, RN, MA, FAAN, FIAHSI, FACMI","doi":"10.1016/j.pedhc.2024.10.016","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Adolescents’ child abuse and neglect experiences are often under-documented in primary care, leading to missed opportunities for interventions. This study compares the prevalence of child abuse and neglect cases identified by diagnostic codes versus a natural language processing approach of clinical notes.</div></div><div><h3>Method</h3><div>We retrospectively analyzed data from 8,157 adolescents, using ICD-10 codes and a natural language processing algorithm to identify child abuse and neglect cases and applied topic modeling on clinical notes to extract prevalent topics.</div></div><div><h3>Results</h3><div>The natural language processing approach identified more cases of child abuse and neglect cases (<em>n</em> = 294) compared to ICD-10 codes (<em>n</em> = 111). Additionally, topic modeling of clinical notes showed the multifaceted nature of child abuse and neglect as captured in clinical narratives.</div></div><div><h3>Discussion</h3><div>Integrating natural language processing with ICD codes has the potential to enhance the identification and documentation of child abuse and neglect, which could lead to earlier and more targeted interventions and coordinated care.</div></div>","PeriodicalId":50094,"journal":{"name":"Journal of Pediatric Health Care","volume":"39 2","pages":"Pages 189-197"},"PeriodicalIF":2.5000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the Prevalence of Child Abuse and Neglect Among Adolescents in Primary Care Through Diagnoses Codes and Free-Text EHR Clinical Notes\",\"authors\":\"Rachel Y. Lee PhD, RN, Aviv Y. Landau PhD, MSW, Paul M. Heider PhD, Rochelle F. Hanson PhD, Hannah C. Espeleta PhD, Kenrick D. Cato PhD, RN, CPHIMS, FAAN, FACMI, Maxim Topaz PhD, RN, MA, FAAN, FIAHSI, FACMI\",\"doi\":\"10.1016/j.pedhc.2024.10.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Adolescents’ child abuse and neglect experiences are often under-documented in primary care, leading to missed opportunities for interventions. This study compares the prevalence of child abuse and neglect cases identified by diagnostic codes versus a natural language processing approach of clinical notes.</div></div><div><h3>Method</h3><div>We retrospectively analyzed data from 8,157 adolescents, using ICD-10 codes and a natural language processing algorithm to identify child abuse and neglect cases and applied topic modeling on clinical notes to extract prevalent topics.</div></div><div><h3>Results</h3><div>The natural language processing approach identified more cases of child abuse and neglect cases (<em>n</em> = 294) compared to ICD-10 codes (<em>n</em> = 111). Additionally, topic modeling of clinical notes showed the multifaceted nature of child abuse and neglect as captured in clinical narratives.</div></div><div><h3>Discussion</h3><div>Integrating natural language processing with ICD codes has the potential to enhance the identification and documentation of child abuse and neglect, which could lead to earlier and more targeted interventions and coordinated care.</div></div>\",\"PeriodicalId\":50094,\"journal\":{\"name\":\"Journal of Pediatric Health Care\",\"volume\":\"39 2\",\"pages\":\"Pages 189-197\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pediatric Health Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0891524524003195\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pediatric Health Care","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0891524524003195","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Estimating the Prevalence of Child Abuse and Neglect Among Adolescents in Primary Care Through Diagnoses Codes and Free-Text EHR Clinical Notes
Introduction
Adolescents’ child abuse and neglect experiences are often under-documented in primary care, leading to missed opportunities for interventions. This study compares the prevalence of child abuse and neglect cases identified by diagnostic codes versus a natural language processing approach of clinical notes.
Method
We retrospectively analyzed data from 8,157 adolescents, using ICD-10 codes and a natural language processing algorithm to identify child abuse and neglect cases and applied topic modeling on clinical notes to extract prevalent topics.
Results
The natural language processing approach identified more cases of child abuse and neglect cases (n = 294) compared to ICD-10 codes (n = 111). Additionally, topic modeling of clinical notes showed the multifaceted nature of child abuse and neglect as captured in clinical narratives.
Discussion
Integrating natural language processing with ICD codes has the potential to enhance the identification and documentation of child abuse and neglect, which could lead to earlier and more targeted interventions and coordinated care.
期刊介绍:
The Journal of Pediatric Health Care, the official journal of the National Association of Pediatric Nurse Practitioners, provides scholarly clinical information and research regarding primary, acute and specialty health care for children of newborn age through young adulthood within a family-centered context. The Journal disseminates multidisciplinary perspectives on evidence-based practice and emerging policy, advocacy and educational issues that are of importance to all healthcare professionals caring for children and their families.