Kai J. Rogers MD, PhD, John Blau MD, Matthew D. Krasowski MD, PhD
{"title":"评估与电子病历中的 \"未知 \"和虚构病人有关的实用性和挑战","authors":"Kai J. Rogers MD, PhD, John Blau MD, Matthew D. Krasowski MD, PhD","doi":"10.1016/j.acpath.2024.100141","DOIUrl":null,"url":null,"abstract":"<div><p>Electronic medical records (EMRs) allow for the creation of “fictional” and unknown patients within the EMR production environment. Surprisingly, there is sparse literature regarding the use cases for these patients or the challenges associated with their existence in the EMR. Here, we identified three classes of patients in regular use at our institution: true fictional patients with medical record numbers (MRNs) used to test EMR functions in the production environment, “confidential patients” used to store sensitive data, and “unknown” patients that are assigned temporary MRNs in emergency situations until additional information can be acquired. A further layer of complexity involving the merging of records for unknown patients once they are identified is also explored. Each class of patients, real or fictional, poses a variety of challenges from a clinical laboratory standpoint, which are often dealt with on a case-by-case basis. Here, we present a series of instructional cases adapted from actual patient safety events at our institution involving fictional, confidential, and unknown patient records. These illustrative cases highlight the utility of these fictional and unknown patients, as well as the challenges they pose on an institutional and individual level, including issues that arise from merging clinical data from temporary MRNs to identified patient charts. Lastly, we provide recommendations on how best to manage similar scenarios that may arise.</p></div>","PeriodicalId":44927,"journal":{"name":"Academic Pathology","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2374289524000356/pdfft?md5=0f9e87d5a2c90e45e7594dd0bb38270a&pid=1-s2.0-S2374289524000356-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Evaluating the utility and challenges associated with “unknown” and fictional patients in the electronic medical record\",\"authors\":\"Kai J. Rogers MD, PhD, John Blau MD, Matthew D. Krasowski MD, PhD\",\"doi\":\"10.1016/j.acpath.2024.100141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Electronic medical records (EMRs) allow for the creation of “fictional” and unknown patients within the EMR production environment. Surprisingly, there is sparse literature regarding the use cases for these patients or the challenges associated with their existence in the EMR. Here, we identified three classes of patients in regular use at our institution: true fictional patients with medical record numbers (MRNs) used to test EMR functions in the production environment, “confidential patients” used to store sensitive data, and “unknown” patients that are assigned temporary MRNs in emergency situations until additional information can be acquired. A further layer of complexity involving the merging of records for unknown patients once they are identified is also explored. Each class of patients, real or fictional, poses a variety of challenges from a clinical laboratory standpoint, which are often dealt with on a case-by-case basis. Here, we present a series of instructional cases adapted from actual patient safety events at our institution involving fictional, confidential, and unknown patient records. These illustrative cases highlight the utility of these fictional and unknown patients, as well as the challenges they pose on an institutional and individual level, including issues that arise from merging clinical data from temporary MRNs to identified patient charts. Lastly, we provide recommendations on how best to manage similar scenarios that may arise.</p></div>\",\"PeriodicalId\":44927,\"journal\":{\"name\":\"Academic Pathology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2374289524000356/pdfft?md5=0f9e87d5a2c90e45e7594dd0bb38270a&pid=1-s2.0-S2374289524000356-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Pathology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2374289524000356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Pathology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2374289524000356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PATHOLOGY","Score":null,"Total":0}
Evaluating the utility and challenges associated with “unknown” and fictional patients in the electronic medical record
Electronic medical records (EMRs) allow for the creation of “fictional” and unknown patients within the EMR production environment. Surprisingly, there is sparse literature regarding the use cases for these patients or the challenges associated with their existence in the EMR. Here, we identified three classes of patients in regular use at our institution: true fictional patients with medical record numbers (MRNs) used to test EMR functions in the production environment, “confidential patients” used to store sensitive data, and “unknown” patients that are assigned temporary MRNs in emergency situations until additional information can be acquired. A further layer of complexity involving the merging of records for unknown patients once they are identified is also explored. Each class of patients, real or fictional, poses a variety of challenges from a clinical laboratory standpoint, which are often dealt with on a case-by-case basis. Here, we present a series of instructional cases adapted from actual patient safety events at our institution involving fictional, confidential, and unknown patient records. These illustrative cases highlight the utility of these fictional and unknown patients, as well as the challenges they pose on an institutional and individual level, including issues that arise from merging clinical data from temporary MRNs to identified patient charts. Lastly, we provide recommendations on how best to manage similar scenarios that may arise.
期刊介绍:
Academic Pathology is an open access journal sponsored by the Association of Pathology Chairs, established to give voice to the innovations in leadership and management of academic departments of Pathology. These innovations may have impact across the breadth of pathology and laboratory medicine practice. Academic Pathology addresses methods for improving patient care (clinical informatics, genomic testing and data management, lab automation, electronic health record integration, and annotate biorepositories); best practices in inter-professional clinical partnerships; innovative pedagogical approaches to medical education and educational program evaluation in pathology; models for training academic pathologists and advancing academic career development; administrative and organizational models supporting the discipline; and leadership development in academic medical centers, health systems, and other relevant venues. Intended authorship and audiences for Academic Pathology are international and reach beyond academic pathology itself, including but not limited to healthcare providers, educators, researchers, and policy-makers.