ArticleJournal of the American Medical Informatics Association : JAMIA2019
Measuring the rate of manual transcription error in outpatient point-of-care testing.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Lost in Transcription: Frequency of Inaccurate Manually Documented Point-of-Care Blood Glucose and Ketone Measures in Hospital.Endocrinology, diabetes & metabolism · 2026Article
- Clerical error, clinical risk, and the automation of primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system.Scientific reports · 2025Article
- Use of point-of-care glucometers during an oral glucose tolerance test in children for prediabetes and diabetes diagnosis: a comparison study.Advances in laboratory medicine · 2024Article
- Article
- A pragmatic methodology to extract anesthetic and physiological data from the electronic health record.Paediatric anaesthesia · 2024Article
- Effectiveness of Unified Computerized Reporting of Point-of-Care Glucose Meter Test.Annals of laboratory medicine · 2024Article
- A dataset examining the impact of direct electronic medical record interfacing on the accuracy of point-of-care urinalysis results.Data in brief · 2023Article
- Quality Assurance for Hepatitis C Virus Point-of-Care Diagnostics in Sub-Saharan Africa.Diagnostics (Basel, Switzerland) · 2023Review
- Evaluating automated electronic case report form data entry from electronic health records.Journal of clinical and translational science · 2023Article
- A web application to support the coordination of reflexive, interpretative toxicology testing.Journal of pathology informatics · 2023Article
- Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease.JACC. Cardiovascular imaging · 2022Article
- Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text.Biometrical journal. Biometrische Zeitschrift · 2022Article
- Impact of Interfacing Near Point of Care Clinical Chemistry and Hematology Analyzers at Urgent Care Clinics at an Academic Health System.Journal of pathology informatics · 2022Article
- What We Should Consider in Point of Care Blood Glucose Test; Current Quality Management Status of a Single Institution.Medicina (Kaunas, Lithuania) · 2021Article
- Cataract Surgical Planning Using Online Software vs Traditional Methods: A Time/Motion and Quality of Care Study.Clinical ophthalmology (Auckland, N.Z.) · 2021Article
- Data entry quality of double data entry vs automated form processing technologies: A cohort study validation of optical mark recognition and intelligent character recognition in a clinical setting.Health science reports · 2020Article
- Utilizing connectivity and data management system for effective quality management and regulatory compliance in point of care testing.Practical laboratory medicine · 2020Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many point-of-care laboratory tests are manually entered into the electronic health record by ambulatory clinic staff, but the rate of manual transcription error for this testing is poorly characterized. Using a dataset arising from a duplicated workflow that created a set of paired interfaced and manually entered point-of-care glucose measurements, we found that 260 of 6930 (3.7%) manual entries were discrepant from their interfaced result. Thirty-seven of the 260 (14.2%) errors were discrepant by more than 20% and included potentially dangerous mistranscriptions. An additional 37 (14.2%) errors were due to inclusion of non-numeric characters. Staff-entered result flags deviated from the result flag generated in the laboratory information system in 5121 of 6930 (73.9%) pairs. These data demonstrate that clinically significant discrepancies for clinic-entered point of care results occurred at a rate of approximately 5 per 1000 results and they underline the importance of interfacing instruments when feasible.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.