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Showing results for "prescribed".

  1. psnet.ahrq.gov/issue/how-health-systems-decide-use-artificial-intelligence-clinical-decision-support
    March 30, 2022 - Study How health systems decide to use artificial intelligence for clinical decision support. Citation Text: Gonzalez-Smith J, Shen H, Singletary E, et al. How health systems decide to use artificial intelligence for clinical decision support. NEJM Catal Innov Care Deliv. 2022;3(4). doi:…
  2. psnet.ahrq.gov/issue/radiation-oncology-specific-automated-trigger-indicator-tool-high-risk-near-miss-safety
    October 14, 2020 - Study A radiation oncology-specific automated trigger indicator tool for high-risk near-miss safety events. Citation Text: Hartvigson PE, Gensheimer MF, Spady PK, et al. A Radiation Oncology–Specific Automated Trigger Indicator Tool for High-Risk, Near-Miss Safety Events. Pract Radiat On…
  3. psnet.ahrq.gov/issue/nature-adverse-events-hospitalized-patients-results-harvard-medical-practice-study-ii
    February 18, 2011 - Study Classic The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. Citation Text: Leape L, Brennan TA, Laird N, et al. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Pra…
  4. psnet.ahrq.gov/issue/integrated-approach-reduce-perinatal-adverse-events-standardized-processes-interdisciplinary
    September 01, 2018 - Study Integrated approach to reduce perinatal adverse events: standardized processes, interdisciplinary teamwork training, and performance feedback. Citation Text: Riley W, Begun JW, Meredith L, et al. Integrated Approach to Reduce Perinatal Adverse Events: Standardized Processes, Interd…
  5. psnet.ahrq.gov/issue/experiences-nurses-speaking-healthcare-settings-qualitative-metasynthesis
    September 23, 2020 - Review Experiences of nurses speaking up in healthcare settings: a qualitative metasynthesis. Citation Text: Lee E, De Gagne J C, Randall P S, et al. Experiences of nurses speaking up in healthcare settings: a qualitative metasynthesis. J Adv Nurs. 2024;Epub Nov 4. doi:10.1111/jan.16592.…
  6. psnet.ahrq.gov/issue/developing-and-evaluating-large-language-model-generated-emergency-medicine-handoff-notes
    March 12, 2025 - Study Developing and evaluating large language model-generated emergency medicine handoff notes. Citation Text: Hartman V, Zhang X, Poddar R, et al. Developing and evaluating large language model-generated emergency medicine handoff notes. JAMA Netw Open. 2024;7(12):e2448723. doi:10.1001…
  7. psnet.ahrq.gov/issue/towards-diagnostic-excellence-academic-ward-teams-building-conceptual-model-team-dynamics
    August 20, 2018 - Study Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in the diagnostic process. Citation Text: Choi JJ, Rosen MA, Shapiro MF, et al. Towards diagnostic excellence on academic ward teams: building a conceptual model of team dynamics in t…
  8. psnet.ahrq.gov/issue/preventable-hospital-admissions-related-medication-harm-cost-analysis-harm-study
    April 27, 2022 - Study Preventable hospital admissions related to medication (HARM): cost analysis of the HARM study. Citation Text: Leendertse AJ, van den Bemt PMLA, Poolman JB, et al. Preventable hospital admissions related to medication (HARM): cost analysis of the HARM study. Value Health. 2011;14(1)…
  9. psnet.ahrq.gov/issue/gpt-versus-resident-physicians-benchmark-based-official-board-scores
    November 03, 2021 - Study GPT versus resident physicians — a benchmark based on official board scores. Citation Text: Katz U, Cohen E, Shachar E, et al. GPT versus resident physicians — a benchmark based on official board scores. NEJM AI. 2024;1(5):5. doi:10.1056/aidbp2300192. Copy Citation Format: …
  10. psnet.ahrq.gov/issue/measuring-and-improving-diagnostic-safety-primary-care-addressing-twin-pandemics-diagnostic
    September 07, 2022 - Commentary Measuring and improving diagnostic safety in primary care: addressing the “twin” pandemics of diagnostic error and clinician burnout. Citation Text: Olson APJ, Linzer M, Schiff GD. Measuring and Improving Diagnostic Safety in Primary Care: Addressing the “Twin” Pandemics of Di…
  11. psnet.ahrq.gov/issue/large-language-model-influence-diagnostic-reasoning-randomized-clinical-trial
    November 03, 2021 - Study Large language model influence on diagnostic reasoning: a randomized clinical trial. Citation Text: Goh E, Gallo R, Hom J, et al. Large language model influence on diagnostic reasoning: a randomized clinical trial. JAMA Netw Open. 2024;7(10):e2440969. doi:10.1001/jamanetworkopen.20…
  12. digital.ahrq.gov/program-overview/research-stories/scaling-and-dissemination-effective-clinical-decision-support
    January 01, 2023 - Scaling and Dissemination of an Effective Clinical Decision Support Tool for Pneumonia Theme: Supporting Health Systems in Advancing Care Delivery Subtheme: Scaling Effective Digital Healthcare Tools Across Health Systems Development of an interoperable version of an effective pneumonia…
  13. psnet.ahrq.gov/issue/ergonomic-and-human-factors-affecting-anesthetic-vigilance-and-monitoring-performance
    May 31, 2011 - Review Classic Ergonomic and human factors affecting anesthetic vigilance and monitoring performance in the operating room environment. Citation Text: Biebuyck J F, Weinger M B, Englund C E. Ergonomic and Human Factors Affecting Anesthetic Vigilance and Monitori…
  14. psnet.ahrq.gov/issue/using-lean-improve-medication-administration-safety-search-perfect-dose
    September 16, 2015 - Study Using Lean to improve medication administration safety: in search of the "perfect dose." Citation Text: Ching JM, Long C, Williams BL, et al. Using lean to improve medication administration safety: in search of the "perfect dose". Jt Comm J Qual Patient Saf. 2013;39(5):195-204. C…
  15. psnet.ahrq.gov/issue/time-essence-relationship-between-hospital-staff-perceptions-time-safety-attitudes-and-staff
    September 01, 2021 - Study "Time is of the essence": relationship between hospital staff perceptions of time, safety attitudes and staff wellbeing. Citation Text: Ellis LA, Tran Y, Pomare C, et al. “Time is of the essence”: relationship between hospital staff perceptions of time, safety attitudes and staff …
  16. psnet.ahrq.gov/issue/increasing-adoption-computerized-provider-order-entry-and-persistent-regional-disparities-us
    May 16, 2012 - Study Increasing adoption of computerized provider order entry, and persistent regional disparities, in US emergency departments. Citation Text: Pallin DJ, Sullivan AF, Espinola JA, et al. Increasing adoption of computerized provider order entry, and persistent regional disparities, in…
  17. psnet.ahrq.gov/issue/society-maternal-fetal-medicine-special-statement-cognitive-bias-and-medical-error-obstetrics
    May 18, 2022 - Organizational Policy/Guidelines Society for Maternal-Fetal Medicine Special Statement: cognitive bias and medical error in obstetrics-challenges and opportunities. Citation Text: Atallah F, Hamm RF, Davidson CM, et al. Society for Maternal-Fetal Medicine Special Statement: Cognitive bia…
  18. psnet.ahrq.gov/issue/medication-errors-among-adults-and-children-cancer-outpatient-setting
    January 16, 2010 - Study Medication errors among adults and children with cancer in the outpatient setting. Citation Text: Walsh KE, Dodd KS, Seetharaman K, et al. Medication errors among adults and children with cancer in the outpatient setting. J Clin Oncol. 2009;27(6):891-6. doi:10.1200/JCO.2008.18.60…
  19. psnet.ahrq.gov/issue/obstetrician-gynecologist-views-pregnancy-related-medication-safety
    July 29, 2020 - Study Obstetrician-gynecologist views of pregnancy-related medication safety. Citation Text: SteelFisher GK, Hero JO, Caporello HL, et al. Obstetrician-gynecologist views of pregnancy-related medication safety. J Womens Health (Larchmt). 2020;29(8):1113-1121. doi:10.1089/jwh.2019.8007. …
  20. psnet.ahrq.gov/issue/linking-acknowledgement-action-closing-loop-non-urgent-clinically-significant-test-results
    July 02, 2019 - Study Linking acknowledgement to action: closing the loop on non-urgent, clinically significant test results in the electronic health record. Citation Text: Dalal A, Pesterev BM, Eibensteiner K, et al. Linking acknowledgement to action: closing the loop on non-urgent, clinically signific…