E. Vecellio, M. Maley, G. Toouli, A. Georgiou, J. Westbrook
{"title":"与手写实验室测试请求相关的数据质量:门诊血清学测试数据输入错误的分类和频率","authors":"E. Vecellio, M. Maley, G. Toouli, A. Georgiou, J. Westbrook","doi":"10.1177/183335831504400302","DOIUrl":null,"url":null,"abstract":"Objective: Manual data-entry of handwritten laboratory test requests into electronic information systems has implications for data accuracy. This study sought to identify the types and number of errors occurring for handwritten serology test requests received from outpatient clinics. Methods: A 15-day audit at a serology laboratory in Sydney, Australia, compared the content of all transcribed serology outpatient test requests in the laboratory information system with the handwritten request form. Results: One or more errors were detected in 67/627 (10.7%) audited requests (N=68 errors). Fifty-one of the errors (75.0%) were transcription errors: the wrong test was transcribed in 40/68 cases (58.8%) – ten of these occurred when the abbreviations ‘HBsAb’ and ‘HBsAg’ were confounded for one another – and transcribed requests were missing a test in 11/68 cases (16.2%). The remaining 17 non-transcription errors (25.0%) described request forms not signed by the ordering clinician, mislabelled specimens, and wrong tests due to computer algorithm errors. Conclusions: Manual data-entry of handwritten serology requests is an error-prone process. Electronic ordering has the potential to eliminate illegible handwriting and transcription errors, thus improving data accuracy in hospital information systems.","PeriodicalId":55068,"journal":{"name":"Health Information Management Journal","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/183335831504400302","citationCount":"2","resultStr":"{\"title\":\"Data Quality Associated with Handwritten Laboratory Test Requests: Classification and Frequency of Data-Entry Errors for Outpatient Serology Tests\",\"authors\":\"E. Vecellio, M. Maley, G. Toouli, A. Georgiou, J. Westbrook\",\"doi\":\"10.1177/183335831504400302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: Manual data-entry of handwritten laboratory test requests into electronic information systems has implications for data accuracy. This study sought to identify the types and number of errors occurring for handwritten serology test requests received from outpatient clinics. Methods: A 15-day audit at a serology laboratory in Sydney, Australia, compared the content of all transcribed serology outpatient test requests in the laboratory information system with the handwritten request form. Results: One or more errors were detected in 67/627 (10.7%) audited requests (N=68 errors). Fifty-one of the errors (75.0%) were transcription errors: the wrong test was transcribed in 40/68 cases (58.8%) – ten of these occurred when the abbreviations ‘HBsAb’ and ‘HBsAg’ were confounded for one another – and transcribed requests were missing a test in 11/68 cases (16.2%). The remaining 17 non-transcription errors (25.0%) described request forms not signed by the ordering clinician, mislabelled specimens, and wrong tests due to computer algorithm errors. Conclusions: Manual data-entry of handwritten serology requests is an error-prone process. Electronic ordering has the potential to eliminate illegible handwriting and transcription errors, thus improving data accuracy in hospital information systems.\",\"PeriodicalId\":55068,\"journal\":{\"name\":\"Health Information Management Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/183335831504400302\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Information Management Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/183335831504400302\",\"RegionNum\":3,\"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":"Health Information Management Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/183335831504400302","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Data Quality Associated with Handwritten Laboratory Test Requests: Classification and Frequency of Data-Entry Errors for Outpatient Serology Tests
Objective: Manual data-entry of handwritten laboratory test requests into electronic information systems has implications for data accuracy. This study sought to identify the types and number of errors occurring for handwritten serology test requests received from outpatient clinics. Methods: A 15-day audit at a serology laboratory in Sydney, Australia, compared the content of all transcribed serology outpatient test requests in the laboratory information system with the handwritten request form. Results: One or more errors were detected in 67/627 (10.7%) audited requests (N=68 errors). Fifty-one of the errors (75.0%) were transcription errors: the wrong test was transcribed in 40/68 cases (58.8%) – ten of these occurred when the abbreviations ‘HBsAb’ and ‘HBsAg’ were confounded for one another – and transcribed requests were missing a test in 11/68 cases (16.2%). The remaining 17 non-transcription errors (25.0%) described request forms not signed by the ordering clinician, mislabelled specimens, and wrong tests due to computer algorithm errors. Conclusions: Manual data-entry of handwritten serology requests is an error-prone process. Electronic ordering has the potential to eliminate illegible handwriting and transcription errors, thus improving data accuracy in hospital information systems.
期刊介绍:
The Health Information Management Journal (HIMJ) is the official peer-reviewed research journal of the Health Information Management Association of Australia (HIMAA).
HIMJ provides a forum for dissemination of original investigations and reviews covering a broad range of topics related to the management and communication of health information including: clinical and administrative health information systems at international, national, hospital and health practice levels; electronic health records; privacy and confidentiality; health classifications and terminologies; health systems, funding and resources management; consumer health informatics; public and population health information management; information technology implementation and evaluation and health information management education.