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Journal articles on the topic 'Reduce diagnostic error'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Benbenek, Mary Mescher. "Diagnostic Error: An Overview." AACN Advanced Critical Care 36, no. 2 (2025): 123–30. https://doi.org/10.4037/aacnacc2025978.

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Diagnostic error is increasingly identified as a concern in health care. The purposes of this article are to provide an understanding of diagnostic error and its contributing factors and to briefly review strategies to reduce errors. A literature review provided a definition of diagnostic error, a synopsis of diagnostic error prevalence and settings, systemic and individual factors contributing to diagnostic error, and cognitive biases and errors in diagnostic reasoning. Strategies to address diagnostic error are discussed. Diagnostic errors are prevalent across clinical settings, may result i

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Berenson, Robert, and Hardeep Singh. "Payment Innovations To Improve Diagnostic Accuracy And Reduce Diagnostic Error." Health Affairs 37, no. 11 (2018): 1828–35. http://dx.doi.org/10.1377/hlthaff.2018.0714.

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Inayat, Grewal1* Prateek Madaan2 Kriti Soni3. "Curriculum for Radiology Residents to Reduce Errors in Diagnosis." International Clinical and Medical Case Reports Journal, no. 8 (August 29, 2024): 1–4. https://doi.org/10.5281/zenodo.13382081.

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Radiological errors occur with an estimated frequency of 3-5% in daily practice, resulting in severe consequences such as missed or delayed diagnoses.<sup>[1]</sup> This rate translates to approximately 40 million diagnostic errors involving imaging annually worldwide, highlighting the critical need for effective error reduction strategies.<sup>[2]</sup> The majority of these errors stem from human factors, predominantly perceptual errors (failure to see an abnormality) and cognitive errors (misinterpretation of findings).<sup>[3]</sup> Despite advances in technology and education, diagnostic

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Graber, Mark L., Stephanie Kissam, Velma L. Payne, et al. "Cognitive interventions to reduce diagnostic error: a narrative review." BMJ Quality & Safety 21, no. 7 (2012): 535–57. http://dx.doi.org/10.1136/bmjqs-2011-000149.

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Al-Khafaji, Jawad, Ryan F. Townsend, Whitney Townsend, Vineet Chopra, and Ashwin Gupta. "Checklists to reduce diagnostic error: a systematic review of the literature using a human factors framework." BMJ Open 12, no. 4 (2022): e058219. http://dx.doi.org/10.1136/bmjopen-2021-058219.

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ObjectivesTo apply a human factors framework to understand whether checklists reduce clinical diagnostic error have (1) gaps in composition; and (2) components that may be more likely to reduce errors.DesignSystematic review.Data sourcesPubMed, EMBASE, Scopus and Web of Science were searched through 15 February 2022.Eligibility criteriaAny article that included a clinical checklist aimed at improving the diagnostic process. Checklists were defined as any structured guide intended to elicit additional thinking regarding diagnosis.Data extraction and synthesisTwo authors independently reviewed a

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Silverston, Paul. "SAFER PRACTICES in the COVID-19 pandemic." Practice Nursing 31, no. 5 (2020): 194–98. http://dx.doi.org/10.12968/pnur.2020.31.5.194.

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COVID-19 has created a wave of uncertainty for nurses and healthcare practitioners, with new information on the virus being released constantly. Paul Silverston discusses the assessment of patients with symptoms of COVID-19 and how to reduce the risk of misdiagnosis Errors in diagnosis are relatively common in primary care which often result in serious harm to patients. The majority of these errors are preventable. This article describes a diagnostic error checklist, SAFER PRACTICES, which can be used to help clinicians prepare themselves for consulting in patients with suspected or confirmed

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Laposata, Michael. "The Definition and Scope of Diagnostic Error in the US and How Diagnostic Error is Enabled." Journal of Applied Laboratory Medicine 3, no. 1 (2018): 128–34. http://dx.doi.org/10.1373/jalm.2017.025882.

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Abstract Background The quality of healthcare in the US has been progressively addressed by 3 reports from the National Academy of Medicine, the latest of which, entitled “Improving Diagnosis in Health Care,” was issued in 2015 from a 21-member panel (the author of this report was a member). The report is a review of the longstanding problem of diagnostic error. The infrastructure of healthcare delivery in the US has inadvertently made diagnostic error a major contributor to the high cost of care and preventable poor patient outcomes. Content This review describes the failures in US healthcare

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Silverston, Paul. "Right diagnosis, right treatment: SAFER PRACTICES." Journal of Prescribing Practice 1, no. 7 (2019): 356–60. http://dx.doi.org/10.12968/jprp.2019.1.7.356.

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Choosing the right treatment for the patient requires that the right diagnosis is made first. In primary and ambulatory care, however, diagnostic errors are both common and commonly preventable. The World Health Organization has recommended that all health professionals should receive formal training in the principles of diagnostic reasoning and the causes of diagnostic error, and that strategies and interventions to reduce the risk of diagnostic error should be used in clinical practice. This article describes a mnemonic checklist, SAFER PRACTICES, which can be used in an integrated approach

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Zarbo, Richard J., Frederick A. Meier, and Stephen S. Raab. "Error Detection in Anatomic Pathology." Archives of Pathology & Laboratory Medicine 129, no. 10 (2005): 1237–45. http://dx.doi.org/10.5858/2005-129-1237-ediap.

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AbstractObjectives.—To define the magnitude of error occurring in anatomic pathology, to propose a scheme to classify such errors so their influence on clinical outcomes can be evaluated, and to identify quality assurance procedures able to reduce the frequency of errors.Design.—(a) Peer-reviewed literature search via PubMed for studies from single institutions and multi-institutional College of American Pathologists Q-Probes studies of anatomic pathology error detection and prevention practices; (b) structured evaluation of defects in surgical pathology reports uncovered in the Department of

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Besa, Chola, G. Chongo, and N. Cooper. "Cognitive Autopsy of a Fatal Diagnostic Error." Medical Journal of Zambia 46, no. 4 (2019): 357–61. http://dx.doi.org/10.55320/mjz.46.4.609.

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Background: Diagnostic error is a significant cause of preventable harm worldwide and diagnostic errors have been identified as a high priority patient safety problem by the World Health Organization. Research shows thatdiagnostic error occurs mainly due to system failures and 'cognitive errors' – that is, failure to synthesise all the available information. There is a worldwide consensus that medical schools and postgraduate training programmes rarely teachthe diagnostic process and related decision making (clinical reasoning) in a way that is explicit, systematic and consistent with what is

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Besa, Chola, G. Chongo, and N. Cooper. "Cognitive Autopsy of a Fatal Diagnostic Error." Medical Journal of Zambia 46, no. 4 (2020): 357–61. http://dx.doi.org/10.55320/mjz.46.4.248.

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Background: Diagnostic error is a significant cause of preventable harm worldwide and diagnostic errors have been identified as a high priority patient safety problem by the World Health Organization. Research shows thatdiagnostic error occurs mainly due to system failures and 'cognitive errors' – that is, failure to synthesise all the available information. There is a worldwide consensus that medical schools and postgraduate training programmes rarely teachthe diagnostic process and related decision making (clinical reasoning) in a way that is explicit, systematic and consistent with what is

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Zwaan, Laura. "The critical step to reduce diagnostic errors in medicine: addressing the limitations of human information processing." Diagnosis 1, no. 1 (2014): 139–41. http://dx.doi.org/10.1515/dx-2013-0018.

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AbstractOver the last 50 years diagnostic testing has improved dramatically and we are now able to diagnose patients faster and more precisely than ever before. However, the incidence of diagnostic errors, particularly of common diseases, has remained relatively stable over time. In this paper, I argue that the intrinsic limitations of human information processing are crucial. The way people process information has not changed over the years and is the main cause of diagnostic error. To take a decisive step forward and substantially reduce the number of diagnostic errors in medicine, we need t

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Liebovitz, David. "Next steps for electronic health records to improve the diagnostic process." Diagnosis 2, no. 2 (2015): 111–16. http://dx.doi.org/10.1515/dx-2014-0070.

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AbstractElectronic health record (EHR) usage is accelerating while preventable diagnostic error persists. EHRs may even contribute to diagnostic error through several pathways including poor usability and an over reliance on electronic chart based communication. The changing context of healthcare delivery offers potential financial incentives for organizations to leverage EHRs to reduce diagnostic error. The lack of standard quality metrics for reporting rates of diagnostic error, a lack of diagnostic feedback systems for physicians and organizations, and a lack of compelling evidence for spec

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Bundy, David G., Hardeep Singh, Ruth EK Stein, et al. "The design and conduct of Project RedDE: A cluster-randomized trial to reduce diagnostic errors in pediatric primary care." Clinical Trials 16, no. 2 (2019): 154–64. http://dx.doi.org/10.1177/1740774518820522.

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Background: Diagnostic errors contribute to the large burden of healthcare-associated harm experienced by children. Primary care settings involve high diagnostic uncertainty and limited time and information, creating ideal conditions for diagnostic errors. We report on the design and conduct of Project RedDE, a stepped-wedge, cluster-randomized controlled trial of a virtual quality improvement collaborative aimed at reducing diagnostic errors in pediatric primary care. Methods: Project RedDE cluster-randomized pediatric primary care practices into one of three groups. Each group participated i

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Raffel, Katie E., Molly A. Kantor, Peter Barish, et al. "Prevalence and characterisation of diagnostic error among 7-day all-cause hospital medicine readmissions: a retrospective cohort study." BMJ Quality & Safety 29, no. 12 (2020): 971–79. http://dx.doi.org/10.1136/bmjqs-2020-010896.

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BackgroundThe prevalence and aetiology of diagnostic error among hospitalised adults is unknown, though likely contributes to patient morbidity and mortality. We aim to identify and characterise the prevalence and types of diagnostic error among patients readmitted within 7 days of hospital discharge.MethodsRetrospective cohort study at a single urban academic hospital examining adult patients discharged from the medical service and readmitted to the same hospital within 7 days between January and December 2018. The primary outcome was diagnostic error presence, identified through two-physicia

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Graber, Mark L. "Educational strategies to reduce diagnostic error: can you teach this stuff?" Advances in Health Sciences Education 14, S1 (2009): 63–69. http://dx.doi.org/10.1007/s10459-009-9178-y.

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Egri, Csilla, Kathryn E. Darras, Elena P. Scali, and Alison C. Harris. "Classification of Error in Abdominal Imaging: Pearls and Pitfalls for Radiologists." Canadian Association of Radiologists Journal 69, no. 4 (2018): 409–16. http://dx.doi.org/10.1016/j.carj.2018.06.006.

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Peer review for radiologists plays an important role in identifying contributing factors that can lead to diagnostic errors and patient harm. It is essential that all radiologists be aware of the multifactorial causes of diagnostic error in radiology and the methods available to reduce it. This pictorial review provides readers with an overview of common errors that occur in abdominal radiology and strategies to reduce them. This review aims to make readers more aware of pitfalls in abdominal imaging so that these errors can be avoided in the future. This essay also provides a systematic appro

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Bruce, Beau B., Robert El-Kareh, John W. Ely, et al. "Methodologies for evaluating strategies to reduce diagnostic error: report from the research summit at the 7th International Diagnostic Error in Medicine Conference." Diagnosis 3, no. 1 (2016): 1–7. http://dx.doi.org/10.1515/dx-2016-0002.

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AbstractIn this article we review current evidence on strategies to evaluate diagnostic error solutions, discuss the methodological challenges that exist in investigating the value of these strategies in patient care, and provide recommendations for methods that can be applied in investigating potential solutions to diagnostic errors. These recommendations were developed iteratively by the authors based upon initial discussions held during the Research Summit of the 7th Annual Diagnostic Error in Medicine Conference in September 2014. The recommendations include the following elements for desi

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Graber, Mark L., Asta V. Sorensen, Jon Biswas, et al. "Developing checklists to prevent diagnostic error in Emergency Room settings." Diagnosis 1, no. 3 (2014): 223–31. http://dx.doi.org/10.1515/dx-2014-0019.

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AbstractChecklists have been shown to improve performance of complex, error-prone processes. To develop a checklist with potential to reduce the likelihood of diagnostic error for patients presenting to the Emergency Room (ER) with undiagnosed conditions.Participants included 15 staff ER physicians working in two large academic centers. A rapid cycle design and evaluation process was used to develop a general checklist for high-risk situations vulnerable to diagnostic error. Physicians used the general checklists and a set of symptom-specific checklists for a period of 2 months. We conducted a

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Franco, Joel, Alhasan N. Elghouche, Michael S. Harris, and Mimi S. Kokoska. "Diagnostic Delays and Errors in Head and Neck Cancer Patients: Opportunities for Improvement." American Journal of Medical Quality 32, no. 3 (2016): 330–35. http://dx.doi.org/10.1177/1062860616638413.

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A retrospective review of 100 sequential patients (2009-2012) with head and neck cancer was performed to determine the frequency of 5 types of diagnostic delays and errors outlined by the Institute of Medicine. There were a total of 105 diagnostic delays/errors. The most common was delay in being seen in the otolaryngology clinic after referral placement (28.6%), followed by diagnostic error by the referring physician (22%), delay in referral of a symptomatic patient to the otolaryngology clinic (16.2%), delay in employing an appropriate diagnostic test or procedure (15.2%), delay in action fo

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Silverston, Paul. "SAFER PRACTICES: reducing the risk of diagnostic errors." Practice Nursing 31, no. 2 (2020): 80–86. http://dx.doi.org/10.12968/pnur.2020.31.2.80.

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Diagnostic errors are relatively common in general practice. Paul Silverston describes a mnemonic-based system to prevent and detect these errors Diagnostic errors in primary care are relatively common and they have the potential to cause serious harm to patients. Up to 80% of these errors are believed to be preventable. This article describes a mnemonic-based system that practice nurses can use to prevent diagnostic errors from arising, as well as to detect these errors when they occur. The mnemonic is designed to be used pre-consultation to reduce the risk of errors arising through better pr

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Lukyanenko, N. Ya, Ya N. Shoikhet, A. F. Lazarev, V. A. Lubennikov, and I. V. Vikhlyanov. "Diagnostic errors in patients with diseases of the chest cavity and ways to reduce them." Russian Journal of Oncology 24, no. 3-6 (2020): 96–101. http://dx.doi.org/10.18821/1028-9984-2019-24-3-6-96-101.

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This paper presents an algorithm for reducing the risk of errors in the diagnosis of diseases of the chest cavity within 14 days after treatment of patients. The developed algorithm, based on multivariate analysis of the integrated assessment of clinical and radiological descriptors (signs) of diseases, determination of the probability coefficient of errors, software for comparing individual integral data with established typical characteristics for differentiable pathological processes, improved diagnostics, aimed the doctor at an adequate examination, and reduced the risk of error by 20.1%.

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Thomas, Dana B., and David E. Newman-Toker. "Diagnosis is a team sport – partnering with allied health professionals to reduce diagnostic errors." Diagnosis 3, no. 2 (2016): 49–59. http://dx.doi.org/10.1515/dx-2016-0009.

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Abstract: Diagnostic errors are the most common, most costly, and most catastrophic of medical errors. Interdisciplinary teamwork has been shown to reduce harm from therapeutic errors, but sociocultural barriers may impact the engagement of allied health professionals (AHPs) in the diagnostic process.: A qualitative case study of the experience at a single institution around involvement of an AHP in the diagnostic process for acute dizziness and vertigo. We detail five diagnostic error cases in which the input of a physical therapist was central to correct diagnosis. We further describe evolut

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Scott, Ian A. "Using information technology to reduce diagnostic error: still a bridge too far?" Internal Medicine Journal 52, no. 6 (2022): 908–11. http://dx.doi.org/10.1111/imj.15804.

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Sibbald, Matt, Jonathan Sherbino, Jonathan S. Ilgen, et al. "Debiasing versus knowledge retrieval checklists to reduce diagnostic error in ECG interpretation." Advances in Health Sciences Education 24, no. 3 (2019): 427–40. http://dx.doi.org/10.1007/s10459-019-09875-8.

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Safer Dakhilallah Saad Almalki. "Automation In Laboratories: How It’s Changing Diagnostic Techniques." Power System Technology 48, no. 4 (2024): 3102–20. https://doi.org/10.52783/pst.1182.

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The rapid advancement of automation in laboratories is revolutionizing diagnostic techniques across various healthcare and research fields. Automated systems in laboratories, ranging from sample handling to data analysis, are enhancing the efficiency, accuracy, and reliability of diagnostic processes. These systems help reduce human error, increase throughput, and enable real-time monitoring, making them essential in modern diagnostic labs. This paper explores the integration of automation in laboratory diagnostics, focusing on its impact on test accuracy, turnaround time, cost-effectiveness,

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Maude, Jason. "Differential diagnosis: the key to reducing diagnosis error, measuring diagnosis and a mechanism to reduce healthcare costs." Diagnosis 1, no. 1 (2014): 107–9. http://dx.doi.org/10.1515/dx-2013-0009.

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AbstractDifferential diagnosis has been taught in medical schools for over 100 years and yet it is not routinely carried out in practice; nor is it required to be documented within medical notes. I strongly believe that the routine use of a differential diagnosis would not only substantially reduce the level of diagnostic error but would also greatly reduce the cost of healthcare. This solution to the seemingly intractable problems of diagnostic error and rising healthcare costs is simple and has been with us for 100 years!

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Kataria, Vipin, Nitin Kumar, and Parth Patel. "Improving Malaria detection using enhanced-efficientnet deep neural network approach." International Journal of Innovative Research and Scientific Studies 8, no. 4 (2025): 1456–73. https://doi.org/10.53894/ijirss.v8i4.8098.

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Malaria detection traditionally relies on microscopic examination of blood smears, a process that is labor-intensive and prone to human error. This study aims to introduce a robust automated detection method using deep learning, designed to enhance diagnostic accuracy and reduce human effort. The research presents an innovative Enhanced-EfficientNet (EEN) deep neural network approach comprising three distinct phases: image preprocessing, feature extraction using the Enhanced-EfficientNet model, and classification using a Deep Neural Network (DNN). The proposed methodology was validated using a

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Pimonov, Ihor, Andriy Yefimenkо, Denis Zhuk, and Volodymyr Prykhodko. "Determination of diagnostic errors in the system of diagnostic parameters of hydraulic drives of construction and road machinery." Bulletin of Kharkov National Automobile and Highway University, no. 99 (December 29, 2022): 62. http://dx.doi.org/10.30977/bul.2219-5548.2022.99.0.62.

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Problem. The article considers the issue of increasing the efficiency of operation of construction machines by improving systems of measures that provide an effective system for diagnosing hydraulic drive elements. The considered existing methods prove that a more effective determination of indicators of diagnostic parameters in a system with the error of the diagnostic devices themselves for diagnosing hydraulic drives of construction and road machines will be the equipment that gives the necessary result with lower overall costs for diagnostics with minimal costs, including the cost of diagn

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Cheng, Ze, Yong Xu, and Meng Nan Dong. "The Error Analysis of a New PV Fault Diagnosis System." Applied Mechanics and Materials 325-326 (June 2013): 725–29. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.725.

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The paper analyses the error factors of every part of the new pv fault diagnosis system which may affect the final diagnostic result and the fault positioning result. According to the different characteristics of each factor, we present the effective methods from the aspect of hardware or software to eliminate or reduce the errors, so the precision of the whole system can be improved.

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Sibbald, Matt, Jonathan Sherbino, Jonathan S. Ilgen, et al. "Correction to: Debiasing versus knowledge retrieval checklists to reduce diagnostic error in ECG interpretation." Advances in Health Sciences Education 24, no. 3 (2019): 441–42. http://dx.doi.org/10.1007/s10459-019-09884-7.

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Sangeeta, Scotton, Liczkowski Anthony, Mollan Susan P, and Sinclair Alexandra J. "WED 094 Diagnostic error rates in diagnosing idiopathic intracranial hypertension." Journal of Neurology, Neurosurgery & Psychiatry 89, no. 10 (2018): A10.1—A10. http://dx.doi.org/10.1136/jnnp-2018-abn.36.

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ObjectiveTo quantify the rate of diagnostic error amongst patients with IIH. Additionally to identify factors contributing to diagnostic error.MethodsSequential patients referred with a diagnosis of IIH to the Birmingham tertiary neuro-ophthalmology IIH clinic were prospectively included (October 2013- February 2017) A diagnostic error taxonomy tool was applied to cases referred as ‘definite’ or ‘possible’ IIH. Discrepancy between referred and final diagnosis were recorded. Results212 patients were referred, (96.2% female), 138/212 (65%) with definite IIH and 74/212 (35%) with possible IIH. Of

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Rahman, Tahmina, Debashish Saha, and Rezina Ahmed. "Improving Diagnostic Safety by minimizing errors in Preanalytical Phase of Laboratory Testing Process." Pulse 16, no. 2 (2025): 19–26. https://doi.org/10.3329/pulse.v16i2.81675.

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The role of laboratory medicine is indispensable for the healthcare industry. Laboratory Services is a rapidly expanding field which contributes significantly 60–70% of clinical decisions regarding hospitalization, discharge, and medications of patients. Total laboratory testing is a cyclical process which is divided into three phases: preanalytical, analytical and postanalytical phase. The pre-analytical phase is a complex process and performed outside the laboratory. Available evidence demonstrates that the most common errors occur in the pre-analytical phase (46–68.2% of total errors). User

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Chu, David, Jane Xiao, Payal Shah, and Brett Todd. "How common are cognitive errors in cases presented at emergency medicine resident morbidity and mortality conferences?" Diagnosis 5, no. 3 (2018): 143–50. http://dx.doi.org/10.1515/dx-2017-0046.

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AbstractBackgroundCognitive errors are a major contributor to medical error. Traditionally, medical errors at teaching hospitals are analyzed in morbidity and mortality (M&M) conferences. We aimed to describe the frequency of cognitive errors in relation to the occurrence of diagnostic and other error types, in cases presented at an emergency medicine (EM) resident M&M conference.MethodsWe conducted a retrospective study of all cases presented at a suburban US EM residency monthly M&M conference from September 2011 to August 2016. Each case was reviewed using the electronic medical

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Gleason, Kelly T., Patricia M. Davidson, Elizabeth K. Tanner, et al. "Defining the critical role of nurses in diagnostic error prevention: a conceptual framework and a call to action." Diagnosis 4, no. 4 (2017): 201–10. http://dx.doi.org/10.1515/dx-2017-0015.

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AbstractNurses have always been involved in the diagnostic process, but there remains a pervasive view across physicians, nurses, and allied health professionals that medical diagnosis is solely a physician responsibility. There is an urgent need to adjust this view and for nurses to take part in leading efforts addressing diagnostic errors. The purpose of this article is to define a framework for nursing engagement in the diagnostic process that can serve as a catalyst for nurses to engage in eliminating preventable harms from diagnostic error. We offer a conceptual model to formalize and exp

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Nosova, YA V., O. H. Avrunin, N. O. Shushlyapyna, Ibrahim Yunuss Abdelkhamid, and Alofy Bender Aly Salekh. "Diagnostic significance of methods for determining nasal breathing disorders." Optoelectronic Information-Power Technologies 41, no. 1 (2021): 47–58. http://dx.doi.org/10.31649/1681-7893-2021-41-1-47-58.

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In the diagnosis of nasal breathing disorders, the main instrumental diagnostic methods are optical endoscopy of the nose, X-ray computed spiral (or cone-beam) tomography of the nose and paranasal sinuses, as well as rhinomanometry. The statistics included 286 patients with nasal breathing disorders and a control group of 60 people. Patients were divided into two groups - with nasal breathing disorders of different nature and conditional norm (control group). The probability of error in detecting nasal breathing disorders is 0.27 (normalized Euclidean distance 1.82). Taking into account the ad

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Sherbino, Jonathan, Kulamakan Kulasegaram, Elizabeth Howey, and Geoffrey Norman. "Ineffectiveness of cognitive forcing strategies to reduce biases in diagnostic reasoning: a controlled trial." CJEM 16, no. 01 (2014): 34–40. http://dx.doi.org/10.2310/8000.2013.130860.

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ABSTRACT Objectives: Cognitive forcing strategies (CFS)may reduce error arising from cognitive biases. This is the first experimental test to determine the effect of CFS training in medical students. Methods: Students were allocated to CFS training or control during a 4-week emergency medicine rotation (n = 191). At the end of the rotation examination, students were tested using computer-based cases. Application of CFS could enable reduction of diagnostic error, as evidenced by identifying multiple correct diagnoses for the two cases prone to search satisficing bias (SSB) and uncommon diagnose

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Kirilochev, O. K. "Causes, frequency and avoidance of diagnostic errors in newborns and children of the first year of life." Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 65, no. 3 (2020): 53–60. http://dx.doi.org/10.21508/1027-4065-2020-65-3-53-60.

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The article presents research methods to detect the frequency of diagnostic errors.Objective: to compare clinical and pathological diagnoses in order to determine the frequency, causes and ways of avoiding diagnostic errors in children with infectious pathology specific to the perinatal period. The authors studied 234 death cases in the intensive care unit for newborns in 2006–2018, and they found diagnostic errors in 18,3% of cases. 53,4% of the diagnostic errors were associated with unrecognized infectious diseases specific to the perinatal period. The authors found that the correct intravit

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Ruedinger, Emily, Maren Olson, Justin Yee, Emily Borman-Shoap, and Andrew P. J. Olson. "Education for the Next Frontier in Patient Safety: A Longitudinal Resident Curriculum on Diagnostic Error." American Journal of Medical Quality 32, no. 6 (2016): 625–31. http://dx.doi.org/10.1177/1062860616681626.

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Diagnostic error is a common, serious problem that has received increased attention recently for its impact on both patients and providers. Presently, most graduate medical education programs do not formally address this topic. The authors developed and evaluated a longitudinal, multimodule resident curriculum about diagnostic error and medical decision making. Key components of the curriculum include demystifying the medical decision-making process, building skills in critical thinking, and providing strategies for diagnostic error mitigation. Special attention was paid to avoiding the second

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Berlin, Leonard. "Radiologic errors, past, present and future." Diagnosis 1, no. 1 (2014): 79–84. http://dx.doi.org/10.1515/dx-2013-0012.

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AbstractDuring the 10-year period beginning in 1949 with publication of five articles in two radiology journals and UKs The Lancet, a California radiologist named L.H. Garland almost single-handedly shocked the entire medical and especially the radiologic community. He focused their attention on the fact now known and accepted by all, but at that time not previously recognized and acknowledged only with great reluctance, that a substantial degree of observer error was prevalent in radiologic interpretation. In the more than half-century that followed, Garland’s pioneering work has been affirme

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Wright, Breanna, Nicholas Faulkner, Peter Bragge, and Mark Graber. "What interventions could reduce diagnostic error in emergency departments? A review of evidence, practice and consumer perspectives." Diagnosis 6, no. 4 (2019): 325–34. http://dx.doi.org/10.1515/dx-2018-0104.

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Abstract The purpose of this article is to synthesise review evidence, practice and patient perspectives on interventions to reduce diagnostic error in emergency departments (EDs). A rapid review methodology identified nine systematic reviews for inclusion. Six practice interviews were conducted to identify local contextual insights and implementation considerations. Finally, patient perspectives were explored through a citizen panel with 11 participants. The rapid review found evidence for the following interventions: second opinion, decision aids, guided reflection and education. Practitione

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VEERAVARAPRASAD, PINDI. "AI-DRIVEN DIAGNOSTIC TOOLS: REVOLUTIONIZING EARLY DETECTION OF DISEASES IN HEALTHCARE." International Journal of Innovative Research and Creative Technology 1, no. 1 (2015): 1–8. https://doi.org/10.5281/zenodo.12805329.

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The advent of AI-driven diagnostic tools has significantly transformed the landscape of early disease detection in healthcare. These innovations leverage advanced algorithms and data analytics to enhance diagnostic accuracy, reduce human error, and streamline patient care. This paper delves into the various AI-driven diagnostic technologies currently employed in healthcare, their impact on early disease detection, and prospects. Key findings highlight the profound impact of AI tools in identifying diseases at earlier stages, leading to a significant improvement in patient outcomes and a potent

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Winkel, David J., Philipp Brantner, Jonas Lutz, Safak Korkut, Sebastian Linxen, and Tobias J. Heye. "Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error Rates." American Journal of Roentgenology 214, no. 3 (2020): 618–23. http://dx.doi.org/10.2214/ajr.19.22087.

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Trotter, Martin J., and Andrea K. Bruecks. "Interpretation of Skin Biopsies by General Pathologists: Diagnostic Discrepancy Rate Measured by Blinded Review." Archives of Pathology & Laboratory Medicine 127, no. 11 (2003): 1489–92. http://dx.doi.org/10.5858/2003-127-1489-iosbbg.

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Abstract Context.—Slide review has been advocated as a means to reduce diagnostic error in surgical pathology and is considered an important component of a total quality assurance program. Blinded review is an unbiased method of error detection, and this approach may be used to determine the diagnostic discrepancy rates in surgical pathology. Objective.—To determine the diagnostic discrepancy rate for skin biopsies reported by general pathologists. Design.—Five hundred eighty-nine biopsies from 500 consecutive cases submitted by primary care physicians and reported by general pathologists were

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Morant, Steven V., Frank H. Dodd, and Roger P. Natzke. "Consequences of diagnostic errors in mastitis therapy trials." Journal of Dairy Research 55, no. 3 (1988): 315–29. http://dx.doi.org/10.1017/s0022029900028570.

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SummaryThe effect of errors that occur in the diagnosis of intramammary infectious mastitis on the precision of experiments measuring the efficacy of mastitis therapy has been investigated. Diagnostic errors within the range found by experienced workers can create large biases in the apparent cure rate of therapy particularly at cure rates of less than 0·5. Using confirmed methods of diagnosis rather than single samples and reducing the probabilities of false positive and false negative diagnoses to 0·01 and 0·05 respectively, the biases in the apparent cure rates are reduced to acceptable lev

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Trevatt, Alexander EJ, Oliver J. Smith, Jacqueline Needleman, and Ashis Banerjee. "An analysis of the most common types of hand injury mistakes and their cost in the acute setting." Medico-Legal Journal 84, no. 4 (2016): 206–11. http://dx.doi.org/10.1177/0025817216664663.

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This study aimed to explore the most common hand injury errors occurring in Emergency Departments in England. A Freedom of Information request was made to the NHS Litigation Authority for claims data related to hand injuries in English Emergency Departments from 2004 to 2014. All successful hand injury claims against an individual DGH ED were also analysed. Two hundred and eighteen successful claims were made, costing a total of £6,273,688.22. Diagnosis error was the most common successful claim (97). Four successful claims were brought against the Emergency Department. Causes of error include

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Petersen, Lauren A., Stephanie Delkoski, and Sarah McCarthy. "Diagnostic Reasoning for APRN Learners: Overview of Teaching Strategies." AACN Advanced Critical Care 36, no. 2 (2025): 131–42. https://doi.org/10.4037/aacnacc2025341.

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Diagnostic error is a critical issue in health care. To reduce diagnostic error and enhance practice safety of new graduates, advanced practice registered nurse (APRN) learners need intentional preparation in diagnostic reasoning. It is imperative that APRN programs integrate diagnostic reasoning into all program curricula. This article provides an overview of teaching strategies aimed at promoting skill development in diagnostic reasoning, specifically related to knowledge development, differential diagnosis, and reflective practices. The article reviews foundational information related to du

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Lockhart, Joseph J., and Saty Satya-Murti. "Blinding or information control in diagnosis: could it reduce errors in clinical decision-making?" Diagnosis 5, no. 4 (2018): 179–89. http://dx.doi.org/10.1515/dx-2018-0030.

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Abstract Background Clinical medicine has long recognized the potential for cognitive bias in the development of new treatments, and in response developed a tradition of blinding both clinicians and patients to address this specific concern. Although cognitive biases have been shown to exist which impact the accuracy of clinical diagnosis, blinding the diagnostician to potentially misleading information has received little attention as a possible solution. Recently, within the forensic sciences, the control of contextual information (i.e. information apart from the objective test results) has

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Volkov, Volodymyr, Volodymyr Kuzhel, Tetiana Volkova, Ganna Pliekhova, and Vyacheslav Narizhny. "Vehicle diagnostic technology." Journal of Mechanical Engineering and Transport 14, no. 2 (2022): 10–17. http://dx.doi.org/10.31649/2413-4503-2021-14-2-10-17.

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In the article, using the example of a mechatronic control system for the engine and transmission of vehicles (automobiles), the features of the technology of their diagnosis are shown. In an electronic transmission control system, the object of regulation is mainly an automatic transmission. Also, the laws of control (programs) of gear shifting in an automatic transmission ensure the optimal transfer of engine energy to the wheels of the vehicle (TC), taking into account the required traction and speed properties and fuel economy. At the same time, the programs for achieving optimal traction-

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Gureev, Ivan I. "Instrumental and Methodological Support for the Diagnostics of Nutritional Requirements of Plants." Engineering Technologies and Systems 32, no. 4 (2022): 504–19. http://dx.doi.org/10.15507/2658-4123.032.202204.504-519.

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Introduction. Mineral fertilizers essential for intensive crop production technologies are an expensive and environmentally unsafe resource polluting the soil and agricultural products when applied in excess. The purpose of the research is instrumental and methodological support for modern functional diagnostics of nutritional requirements of plants, which is aimed at activating the photosynthesis process. Materials and Methods. It is proposed, for identifying nutritional requirements of plants to replace numerous intermediate plastic test tubes with a mixture of permanent components (sodium c

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