Kostopoulou O, Tracey C, Delaney BC. J Am Med Inform Assoc. 2021;28:1461-1467.
In addition to being used for patient-specific clinical purposes, data within the electronic health record (EHR) may be used for other purposes including epidemiological research. Researchers in the UK developed and tested a clinical decision support system (CDSS) to evaluate changes in the types and number of observations that primary care physicians entered into the EHR during simulated patient encounters. Physicians documented more clinical observations using the CDSS compared to the standard electronic health record. The increase in documented clinical observations has the potential to improve validity of research developed from EHR data.
Zhou Y, Walter FM, Singh H, et al. Cancers (Basel). 2021;13:156.
Delays in cancer diagnosis can lead to treatment delays and patient harm. This study linking primary care and cancer registry data found that more than one-quarter of bladder and kidney cancer patients presenting with fast-tract referral features did not achieve a timely diagnosis. These findings suggest inadequate adherence to guidelines intended to help identify patients with high risk of cancer based on the presence of alarm signs and symptoms.
Keen J, Abdulwahid MA, King N, et al. BMJ Open. 2020;10:e036608.
Health information technology has the potential to improve patient safety in both inpatient and outpatient settings. This systematic review explored the effect of technology networks across health systems (e.g., linking patient records across different organizations) on care coordination and medication reconciliation for older adults living at home. The authors identified several barriers to use of such networks but did not identify robust evidence on their association with safety-related outcomes.
Delvaux N, Piessens V, Burghgraeve TD, et al. Implement Sci. 2020;15:100.
Clinical decision support systems (CDSS) and computerized physician order entry (CPOE) have the potential to improve patient safety. This randomized trial evaluated the impact of integrating CDSS into CPOE among general practitioners in Belgium. The intervention improved appropriateness and decreased volume of laboratory test ordering and did not show any increases in diagnostic errors.
Elliott J, Williamson K. Radiography. 2020;26:248-253.
Extended work shifts for nurses and physicians have been linked to increased risk of errors. In this systematic review, the authors discuss the impact of shift work disorder on errors and safety implications for radiographers. Studies suggested a positive correlation between errors and increased mental and physical fatigue resulting from shift work or rapid shift rotation, however none of the identified studies focused specifically on radiology professionals.
Durning S, Holmboe E, Graber ML, eds. Diagnosis(Berl). 2020;7(3):151-344.
Challenges to effective clinical reasoning reduce diagnostic accuracy. This special issue provides background for a new approach to clinical reasoning: situativity. The articles explore the four complementary facets of the concept -- situated cognition; distributed cognition; embodied cognition; and ecological psychology – and describes how situativity can enhance diagnosis through a holistic approach to education, assessment, and research.
Choudhury A, Asan O. JMIR Med Inform. 2020;8:e18599.
This systematic review explored how artificial intelligence (AI) based on machine learning algorithms and natural language processing is used to address and report patient safety outcomes. The review suggests that AI-enabled decision support systems can improve error detection, patient stratification, and drug management, but that additional evidence is needed to understand how well AI can predict safety outcomes.
Weingart SN, Yaghi O, Barnhart L, et al. Appl Clin Inform. 2020;11.
To decrease the risk of diagnostic errors attributed to incomplete recommended diagnostic tests, this study evaluated an electronic monitoring tool alerting clinicians to incomplete imaging tests for their ambulatory patients. Compared to the control group (physicians not receiving alerts for their patients), after 90-days the intervention group had a higher rate of imaging completion (22.1% vs. 18.8%); this difference was sustained throughout the 12-month follow-up period (25.5% completion in the intervention group versus 20.9% in the control group). The authors found that this change was primarily driven by completion rates among patients referred for mammography. To fully appreciate the implications of missed test notifications to reduce the risk of delayed diagnoses, more studies are necessary.
Matulis JC, Kok SN, Dankbar EC, et al. Diagnosis. 2020;7:107-114.
A brief survey of two internal medicine practices explored clinician perceptions of individual- and systems-level factors contributing to diagnostic errors. The most commonly reported individual-level factors contributing to diagnostic error was atypical patient presentations (83%), failure to consider other diagnoses (63%) and inadequate follow-up of test results (53%). Common systems-level contributors identified were cognitive burden associated with the electronic health record system (68%), inadequate time (64%) and lack of collaboration (40%).
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