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Total Results: over 10,000 records

Showing results for "implementing".

  1. digital.ahrq.gov/principal-investigator/dorr-david
    January 01, 2023 - Dorr, David Patient-facing clinical decision support for high blood pressure control: Patient survey. Citation Dorr D, D'Autremont C, Richardson JE, Bobo M, Terndrup C, Dunne MJ, Cheng A, Rope R. Patient-facing clinical decision support for high blood pressure control: Patient…
  2. psnet.ahrq.gov/issue/machine-learning-based-clinical-decision-support-system-identify-prescriptions-high-risk
    May 20, 2020 - Study Emerging Classic A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. Citation Text: Corny J, Rajkumar A, Martin O, et al. A machine learning–based clinical decision support system to ide…
  3. psnet.ahrq.gov/issue/allergy-safety-events-healthcare-development-and-application-classification-schema-based
    December 09, 2020 - Study Allergy safety events in healthcare: development and application of a classification schema based on retrospective review. Citation Text: Phadke NA, Wickner PG, Wang L, et al. Allergy safety events in healthcare: development and application of a classification schema based on retro…
  4. psnet.ahrq.gov/issue/medication-errors-during-treatment-new-oral-anticancer-agents-consequences-clinical-practice
    April 21, 2021 - Study Medication errors during treatment with new oral anticancer agents: consequences for clinical practice based on the AMBORA Study. Citation Text: Schlichtig K, Dürr P, Dörje F, et al. Medication errors during treatment with new oral anticancer agents: consequences for clinical pract…
  5. www.ahrq.gov/news/newsroom/case-studies/202304.html
    October 01, 2023 - Online Training Enables Primary Care Providers in Rural New Mexico to Prescribe Medication for Opioid Use Disorders Search All Impact Case Studies October 2023 Rural primary care practices in New Mexico have expanded on an AHRQ initiative to offer proven medication-assisted treatment to patients with opio…
  6. psnet.ahrq.gov/issue/treatment-patterns-and-clinical-outcomes-after-introduction-medicare-sepsis-performance
    October 02, 2019 - Study Treatment patterns and clinical outcomes after the introduction of the Medicare Sepsis Performance Measure (SEP-1). Citation Text: Barbash IJ, Davis BS, Yabes JG, et al. Treatment patterns and clinical outcomes after the introduction of the Medicare Sepsis Performance Measure (SEP-…
  7. psnet.ahrq.gov/issue/interventions-designed-improve-safety-and-quality-therapeutic-anticoagulation-inpatient
    March 27, 2024 - Review Interventions designed to improve the safety and quality of therapeutic anticoagulation in an inpatient electronic medical record. Citation Text: Austin J, Barras M, Sullivan C. Interventions designed to improve the safety and quality of therapeutic anticoagulation in an inpatient…
  8. psnet.ahrq.gov/issue/changes-primary-care-delivery-during-covid-19-pandemic-and-perceived-impact-medication-safety
    January 18, 2023 - Study Changes to primary care delivery during the COVID-19 pandemic and perceived impact on medication safety: a survey study. Citation Text: Gleeson LL, Ludlow A, Wallace E, et al. Changes to primary care delivery during the COVID-19 pandemic and perceived impact on medication safety: a…
  9. www.ahrq.gov/news/blog/ahrqviews/teamstepps-30.html
    September 01, 2023 - AHRQ Views: Blog posts from AHRQ leaders With TeamSTEPPS 3.0, AHRQ Refreshes a Landmark Patient Safety Training Curriculum SEP 12 2023 By Craig Umscheid, M.D., M.S., and Monika Haugstetter, M.H.A., M.S.N., R.N. It has been 17 years since AHRQ launched TeamSTEPPS, a patient s…
  10. psnet.ahrq.gov/issue/analysis-hospital-level-readmission-rates-and-variation-adverse-events-among-patients
    August 25, 2021 - Study Analysis of hospital-level readmission rates and variation in adverse events among patients with pneumonia in the United States. Citation Text: Wang Y, Eldridge N, Metersky ML, et al. Analysis of hospital-level readmission rates and variation in adverse events among patients with p…
  11. psnet.ahrq.gov/issue/fable-reality-parkland-hospital-impact-evidence-based-design-strategies-patient-safety
    September 09, 2020 - Commentary From fable to reality at Parkland Hospital: the impact of evidence-based design strategies on patient safety, healing, and satisfaction in an adult inpatient environment. Citation Text: Rich RK, Jimenez FE, Puumala SE, et al. From Fable to Reality at Parkland Hospital: The Im…
  12. psnet.ahrq.gov/issue/identifying-electronic-health-record-usability-and-safety-challenges-pediatric-settings
    December 21, 2018 - Study Emerging Classic Identifying electronic health record usability and safety challenges in pediatric settings. Citation Text: Ratwani RM, Savage E, Will A, et al. Identifying Electronic Health Record Usability And Safety Challenges In Pediatric Settings. Hea…
  13. psnet.ahrq.gov/issue/patient-and-public-involvement-healthcare-systematic-mapping-review-systematic-reviews
    August 24, 2016 - Study Patient and public involvement in healthcare: a systematic mapping review of systematic reviews - identification of current research and possible directions for future research. Citation Text: Bergholtz J, Wolf A, Crine V, et al. Patient and public involvement in healthcare: a syst…
  14. www.ahrq.gov/news/blog/ahrqviews/womens-health-week-2023.html
    May 01, 2023 - AHRQ Views: Blog posts from AHRQ leaders For Women’s Health Week, Let’s Make Prevention Primary MAY 12 2023 By Robert Otto Valdez, Ph.D., M.H.S.A. Robert Otto Valdez, Ph.D., M.H.S.A. As we approach Mother’s Day and National Women's Health Week , all of us at AHRQ…
  15. psnet.ahrq.gov/issue/impact-electronic-alert-reduce-risk-co-prescription-low-molecular-weight-heparins-and-direct
    August 17, 2022 - Study The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight heparins and direct oral anticoagulants. Citation Text: Brown A, Cavell G, Dogra N, et al. The impact of an electronic alert to reduce the risk of co-prescription of low molecular weight…
  16. psnet.ahrq.gov/issue/repurposing-clinical-decision-support-system-data-measure-dosing-errors-and-clinician-level
    October 21, 2020 - Study Repurposing clinical decision support system data to measure dosing errors and clinician-level quality of care. Citation Text: Chin DL, Wilson MH, Trask AS, et al. Repurposing clinical decision support system data to measure dosing errors and clinician-level quality of care. J Med …
  17. psnet.ahrq.gov/issue/root-causes-adverse-drug-events-hospitals-and-artificial-intelligence-capabilities-prevention
    May 20, 2020 - Study Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention. Citation Text: Gordo C, Núñez‐Córdoba JM, Mateo R. Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention. J Adv Nurs. 2021;77(7…
  18. psnet.ahrq.gov/issue/effectiveness-interruptive-prescribing-alerts-ambulatory-cpoe-change-prescriber-behaviour-and
    February 02, 2022 - Review The effectiveness of interruptive prescribing alerts in ambulatory CPOE to change prescriber behaviour and improve safety. Citation Text: Cerqueira O, Gill M, Swar B, et al. The effectiveness of interruptive prescribing alerts in ambulatory CPOE to change prescriber behaviour and …
  19. psnet.ahrq.gov/issue/cost-adverse-drug-events-related-potentially-inappropriate-medication-use-systematic-review
    December 21, 2022 - Review Cost of adverse drug events related to potentially inappropriate medication use: a systematic review. Citation Text: Schiavo G, Forgerini M, Lucchetta RC, et al. Cost of adverse drug events related to potentially inappropriate medication use: a systematic review. J Am Pharm Assoc …
  20. psnet.ahrq.gov/issue/objective-framework-evaluating-unrecognized-bias-medical-ai-models-predicting-covid-19
    July 22, 2020 - Study An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. Citation Text: Estiri H, Strasser ZH, Rashidian S, et al. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J Am Med I…