scholarly journals Five things to know about diagnostic error

Diagnosis ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 13-15 ◽  
Author(s):  
Darya Yermak ◽  
Peter Cram ◽  
Janice L. Kwan

AbstractDiagnostic error represents an important patient safety issue. Herein, we summarize five important things to know about this topic. (1) At least 1 in 20 adults are affected by diagnostic errors annually. (2) The root causes for diagnostic errors are typically multifactorial. (3) Cognitive errors are found in the majority of cases. (4) Most missed diagnoses involve common conditions. (5) Advancements in policy, education, and health information technologies hold promise for improving diagnostic safety.

2013 ◽  
Vol 9 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Kate Bak ◽  
Eric Gutierrez ◽  
Elizabeth Lockhart ◽  
Michael Sharpe ◽  
Esther Green ◽  
...  

The varied results of radiation exposure on infusion devices suggest that additional testing should be carried out to determine the limits of dose exposure, and to raise awareness around this patient safety issue.


Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Martin A. Schaller-Paule ◽  
Helmuth Steinmetz ◽  
Friederike S. Vollmer ◽  
Melissa Plesac ◽  
Felix Wicke ◽  
...  

Abstract Objectives Errors in clinical reasoning are a major factor for delayed or flawed diagnoses and put patient safety at risk. The diagnostic process is highly dependent on dynamic team factors, local hospital organization structure and culture, and cognitive factors. In everyday decision-making, physicians engage that challenge partly by relying on heuristics – subconscious mental short-cuts that are based on intuition and experience. Without structural corrective mechanisms, clinical judgement under time pressure creates space for harms resulting from systems and cognitive errors. Based on a case-example, we outline different pitfalls and provide strategies aimed at reducing diagnostic errors in health care. Case presentation A 67-year-old male patient was referred to the neurology department by his primary-care physician with the diagnosis of exacerbation of known myasthenia gravis. He reported shortness of breath and generalized weakness, but no other symptoms. Diagnosis of respiratory distress due to a myasthenic crisis was made and immunosuppressive therapy and pyridostigmine were given and plasmapheresis was performed without clinical improvement. Two weeks into the hospital stay, the patient’s dyspnea worsened. A CT scan revealed extensive segmental and subsegmental pulmonary emboli. Conclusions Faulty data gathering and flawed data synthesis are major drivers of diagnostic errors. While there is limited evidence for individual debiasing strategies, improving team factors and structural conditions can have substantial impact on the extent of diagnostic errors. Healthcare organizations should provide the structural supports to address errors and promote a constructive culture of patient safety.


2015 ◽  
Vol 8 (3) ◽  
pp. 91-98
Author(s):  
L. Zwaan

Diagnostic errors in medicine occur frequently and the consequences for the patient can be severe. Cognitive errors as well as system related errors contribute to the occurrence of diagnostic error, but it is generally accepted that cognitive errors are the main contributor. The diagnostic reasoning process in medicine, is an understudied area of research. One reason is because of the complexity of the diagnostic process and therefore the difficulty to measure diagnostic errors and the causes of diagnostic error. In this paper, I discuss some of the complexities of the diagnostic process. I describe the dual-process theory, which defines two reasoning modes, 1. a fast, automatic and unconscious reasoning mode called system 1, and a slow and analytic reasoning mode called system 2. Furthermore, the main cognitive causes of diagnostic error are described.


Diagnosis ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 151-156 ◽  
Author(s):  
Ashwin Gupta ◽  
Molly Harrod ◽  
Martha Quinn ◽  
Milisa Manojlovich ◽  
Karen E. Fowler ◽  
...  

Abstract Background Traditionally, research has examined systems- and cognitive-based sources of diagnostic error as individual entities. However, half of all errors have origins in both domains. Methods We conducted a focused ethnography of inpatient physicians at two academic institutions to understand how systems-based problems contribute to cognitive errors in diagnosis. Medicine teams were observed on rounds and during post-round work after which interviews were conducted. Field notes related to the diagnostic process and the work system were recorded, and findings were organized into themes. Using deductive content analysis, themes were categorized based on a published taxonomy to link systems-based contributions and cognitive errors such as faulty data gathering, information processing, data verification and errors associated with multiple domains. Results Observations, focus groups and interviews of 10 teams were conducted between January 2016 and April 2017. The following themes were identified: (1) challenges with interdisciplinary communication and communication within the electronic medical record (EMR) contributed to faulty data gathering; (2) organizational structures such as the operation of consulting services in silos promoted faulty information processing; (3) care handoffs led to faulty data verification and (4) interruptions, time constraints and a cluttered physical environment negatively influenced multiple cognitive domains. Conclusions Systems-based factors often facilitate and promote cognitive problems in diagnosis. Linking systems-based contributions to downstream cognitive impacts and intervening on both in tandem may help prevent diagnostic errors.


Heart ◽  
2020 ◽  
Vol 107 (2) ◽  
pp. 168-169
Author(s):  
Jonathan Hinton ◽  
Mark Signy

Diagnosis ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Paul A. Bergl ◽  
Thilan P. Wijesekera ◽  
Najlla Nassery ◽  
Karen S. Cosby

AbstractSince the 2015 publication of the National Academy of Medicine’s (NAM) Improving Diagnosis in Health Care (Improving Diagnosis in Health Care. In: Balogh EP, Miller BT, Ball JR, editors. Improving Diagnosis in Health Care. Washington (DC): National Academies Press, 2015.), literature in diagnostic safety has grown rapidly. This update was presented at the annual international meeting of the Society to Improve Diagnosis in Medicine (SIDM). We focused our literature search on articles published between 2016 and 2018 using keywords in Pubmed and the Agency for Healthcare Research and Quality (AHRQ)’s Patient Safety Network’s running bibliography of diagnostic error literature (Diagnostic Errors Patient Safety Network: Agency for Healthcare Research and Quality; Available from: https://psnet.ahrq.gov/search?topic=Diagnostic-Errors&f_topicIDs=407). Three key topics emerged from our review of recent abstracts in diagnostic safety. First, definitions of diagnostic error and related concepts are evolving since the NAM’s report. Second, medical educators are grappling with new approaches to teaching clinical reasoning and diagnosis. Finally, the potential of artificial intelligence (AI) to advance diagnostic excellence is coming to fruition. Here we present contemporary debates around these three topics in a pro/con format.


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