{"title":"在退伍军人健康管理局信息学患者安全办公室实施医疗信息技术安全分类系统。","authors":"Danielle Kato, Joe Lucas, Dean F Sittig","doi":"10.1093/jamia/ocae107","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.</p><p><strong>Materials and methods: </strong>A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.</p><p><strong>Results: </strong>Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user needs and external system interactions accounted for 20.2% and 10.5%, respectively. Absence of HIT safety features accounted for 2.4% of issues, and 4% did not have enough information to classify.</p><p><strong>Conclusion: </strong>The 5-type HIT safety concern classification framework generated actionable categories helping organizations effectively respond to HIT patient safety risks.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of a health information technology safety classification system in the Veterans Health Administration's Informatics Patient Safety Office.\",\"authors\":\"Danielle Kato, Joe Lucas, Dean F Sittig\",\"doi\":\"10.1093/jamia/ocae107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.</p><p><strong>Materials and methods: </strong>A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.</p><p><strong>Results: </strong>Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user needs and external system interactions accounted for 20.2% and 10.5%, respectively. Absence of HIT safety features accounted for 2.4% of issues, and 4% did not have enough information to classify.</p><p><strong>Conclusion: </strong>The 5-type HIT safety concern classification framework generated actionable categories helping organizations effectively respond to HIT patient safety risks.</p>\",\"PeriodicalId\":50016,\"journal\":{\"name\":\"Journal of the American Medical Informatics Association\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Medical Informatics Association\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1093/jamia/ocae107\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Medical Informatics Association","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/jamia/ocae107","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
目的针对向退伍军人健康管理局信息学患者安全办公室报告的 HIT 患者安全问题,实施 5 类健康信息技术 (HIT) 患者安全问题分类系统:一个由信息学安全分析师组成的团队采用共识讨论的方式,按照 HIT 患者安全问题的类型对 1 年的 HIT 患者安全问题进行了回顾性分类。在回顾性分类过程中建立的流程随后被应用于未来新出现的 HIT 安全问题:在回顾性审查的 140 个问题中,124 个符合分类标准。其中大部分是 HIT 故障(如软件缺陷)(33.1%)或配置和实施问题(29.8%)。未满足用户需求和外部系统交互分别占 20.2% 和 10.5%。缺乏 HIT 安全功能的问题占 2.4%,没有足够信息进行分类的问题占 4%:5类HIT安全问题分类框架可帮助医疗机构有效应对HIT患者安全风险。
Implementation of a health information technology safety classification system in the Veterans Health Administration's Informatics Patient Safety Office.
Objective: Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.
Materials and methods: A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.
Results: Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user needs and external system interactions accounted for 20.2% and 10.5%, respectively. Absence of HIT safety features accounted for 2.4% of issues, and 4% did not have enough information to classify.
Conclusion: The 5-type HIT safety concern classification framework generated actionable categories helping organizations effectively respond to HIT patient safety risks.
期刊介绍:
JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.