Reducing the frequency of errors in medicine using information technology.

By David W. Bates, Michael Cohen, Lucian Leape, J. Marc Overhage, M. M. Shabot, Thomas B. Sheridan. JAMIA Journal of the American Medical Informatics Association, 2001

1,040 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Health Information Management, Physiology

View Paper: https://www.semanticscholar.org/paper/f2df6bcb42da42531359f009d2e272ef6ff2e69b

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In Emergency Medical Services

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Citations in the corpus

Clinical decision support systems for the practice of evidence-based medicine. (2001, background): “Clinical decision support systems (CDSSs) have been hailed for their potential to reduce medical errors”
Detecting adverse events for patient safety research: a review of current methodologies (2003, background): “Even more exciting is that some of these methods can detect errors prior to the occurrence of an adverse event or before it becomes severe and thus prevent or ameliorate patient injury [43].”
Research Paper: Improving Patient Safety by Identifying Side Effects from Introducing Bar Coding in Medication Administration (2002, background): “... BCMA system in the Veteran’s Health Administration, we identified five negative, unintended side effects with the potential to create predictable new paths to ADEs: (1) nurses confused by automated removal of medications by BCMA, (2) degraded coordination between nurses and physicians, (3) nurse”
IT support for healthcare processes - premises, challenges, perspectives (2007, background): “…to better monitor the current status of a patient, e.g. by presenting patient data in a more coherent way, by providing optimized views to patient data for dedicated purposes , or by generating alerts if some parameter or a combination of parameters is developing into dangerous areas (e.g. [4]).”
The multitasking clinician: Decision-making and cognitive demand during and after team handoffs in emergency care (2007, background): “Furthermore, we have also shown that filters [20] are in place in the form of processes and artifacts that make the flow of information a continuous process.”
High rates of adverse drug events in a highly computerized hospital. (2005, neutral): “Analgesics-narcotics (n = 126), in 26% of ADEs† 35 (28) 6 (5) 61 (48)‡ 13 (10)§ 11 (9) 44 (35)”
A generalist vision–language foundation model for diverse biomedical tasks (2023, neutral): “Furthermore, the hyper-specialization of AI in narrow disciplines often fails to provide the comprehensive insights necessary to assist doctors in real-world settings, where the flow of information can be slow and sporadic 2,5 .”
Role of computerized physician order entry systems in facilitating medication errors. (2005, background): “CPOE is widely regarded as the crucial technology for reducing hospital medication errors.(2,3,6-22,30,31,58,59) As with any new technology, however, initial assessments may insufficiently consider risks and organizational accommodations.”
Evaluation of health information systems - problems and challenges (2003, background): “less waiting times for patients), or even to improve the quality of patient care [1].”
Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. (2003, background): “Basic clinical decision support provides computerized advice regarding drug doses, routes, and frequencies, and more sophisticated CDSSs can perform drug allergy checks, drug–laboratory value checks, and drug-drug interaction checks and can provide reminders about corollary orders (eg, prompting the”