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3521. Implementing Automated Patient Questionnaires (pdf file)
      www.ahrq.gov/sites/default/files/wysiwyg/evidencenow/mui/implementing-automated-ptquestionnaires.pdf
      June 02, 2025 - Implementing Automated Patient Questionnaires ``` Implementing Automated Patient Questionnaires IT2 Team – Northwestern Medicine This project was funded under grant number U18HS028744 from the Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services (HHS). The authors…

3522. Implementation Quick Start Guide: Teach-Back (pdf file)
      www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-family-engagement/pfeprimarycare/teach-back-quickstart-final508.pdf
      June 02, 2025 - Implementation Quick Start Guide: Teach-Back The Guide to Improving Patient Safety in Primary Care Settings by Engaging Patients and Families Implementation Quick Start Guide Teach-Back 1 Review intervention and training materials � Understand the purpose, use, and benefits � Review the training toolkit. of teac…

3523. Comparison of a focused family cancer history questionnaire to family history documentation in the electronic medical record. | PSNet
      psnet.ahrq.gov/issue/comparison-focused-family-cancer-history-questionnaire-family-history-documentation
      June 23, 2021 - Study Comparison of a focused family cancer history questionnaire to family history documentation in the electronic medical record. Citation Text: Clift K, Macklin-Mantia S, Barnhorst M, et al. Comparison of a focused family cancer history questionnaire to family history documentation in…

3524. Sample Questions & Answers | Digital Healthcare Research
      digital.ahrq.gov/sample-questions-answers-0
      January 01, 2023 - Sample Questions & Answers DISCLAIMER The studies referenced here were reported in peer-reviewed publications as systematic reviews, hypothesis tests, or predictive analyses. Although the results are valid for the institutions they represent, they may not be valid for other organizations w…

3525. Promising practices for improving hospital patient safety culture. | PSNet
      psnet.ahrq.gov/issue/promising-practices-improving-hospital-patient-safety-culture
      December 09, 2020 - Study Classic Promising practices for improving hospital patient safety culture. Citation Text: Campione J, Famolaro T. Promising Practices for Improving Hospital Patient Safety Culture. Jt Comm J Qual Patient Saf. 2018;44(1):23-32. doi:10.1016/j.jcjq.2017.09.00…

3526. Effects of chemotherapy prescription clinical decision-support systems on the chemotherapy process: a systematic review. | PSNet
      psnet.ahrq.gov/issue/effects-chemotherapy-prescription-clinical-decision-support-systems-chemotherapy-process
      October 10, 2018 - Review Effects of chemotherapy prescription clinical decision-support systems on the chemotherapy process: a systematic review. Citation Text: Rahimi R, Moghaddasi H, Rafsanjani KA, et al. Effects of chemotherapy prescription clinical decision-support systems on the chemotherapy process:…

3527. Development and validation of electronic health record–based triggers to detect delays in follow-up of abnormal lung imaging findings. | PSNet
      psnet.ahrq.gov/issue/development-and-validation-electronic-health-record-based-triggers-detect-delays-follow
      June 21, 2016 - Study Development and validation of electronic health record–based triggers to detect delays in follow-up of abnormal lung imaging findings. Citation Text: Murphy DR, Thomas EJ, Meyer AND, et al. Development and Validation of Electronic Health Record-based Triggers to Detect Delays in Fo…

3528. Patient misidentification events in the Veterans Health Administration: a comprehensive review in the context of high-reliability health care. | PSNet
      psnet.ahrq.gov/issue/patient-misidentification-events-veterans-health-administration-comprehensive-review-context
      November 24, 2021 - Study Patient misidentification events in the Veterans Health Administration: a comprehensive review in the context of high-reliability health care. Citation Text: Kulju S, Morrish W, King LA, et al. Patient misidentification events in the Veterans Health Administration: a comprehensive …

3529. Enhancing implementation of the I-PASS handoff tool using a provider handoff task force at a Comprehensive Cancer Center. | PSNet
      psnet.ahrq.gov/issue/enhancing-implementation-i-pass-handoff-tool-using-provider-handoff-task-force-comprehensive
      March 09, 2022 - Study Enhancing implementation of the I-PASS handoff tool using a provider handoff task force at a Comprehensive Cancer Center. Citation Text: Franco Vega MC, Ait Aiss M, George M, et al. Enhancing implementation of the I-PASS handoff tool using a provider handoff task force at a Compreh…

3530. Patient safety threats in information management using health information technology in ambulatory cancer care: an exploratory, prospective study. | PSNet
      psnet.ahrq.gov/issue/patient-safety-threats-information-management-using-health-information-technology-ambulatory
      April 01, 2020 - Study Patient safety threats in information management using health information technology in ambulatory cancer care: an exploratory, prospective study. Citation Text: Pfeiffer Y, Zimmermann C, Schwappach DLB. Patient safety threats in information management using health information tech…

3531. Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: who reports what about whom? | PSNet
      psnet.ahrq.gov/issue/hospital-staff-reports-coworker-positive-and-unprofessional-behaviours-across-eight-hospitals
      May 01, 2024 - Study Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: who reports what about whom? Citation Text: Urwin R, Pavithra A, Mcmullan RD, et al. Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: w…

3532. Unlocking the potential of free text in electronic health records with large language models (LLM): enhancing patient safety and consultation interactions. | PSNet
      psnet.ahrq.gov/issue/unlocking-potential-free-text-electronic-health-records-large-language-models-llm-enhancing
      October 01, 2014 - Commentary Unlocking the potential of free text in electronic health records with large language models (LLM): enhancing patient safety and consultation interactions. Citation Text: Kumarapeli P, Haddad T, de Lusignan S. Unlocking the potential of free text in electronic health records w…

3533. Posttraumatic growth and second victim distress resulting from medical mishaps among physicians and nurses. | PSNet
      psnet.ahrq.gov/issue/posttraumatic-growth-and-second-victim-distress-resulting-medical-mishaps-among-physicians
      January 12, 2022 - Study Posttraumatic growth and second victim distress resulting from medical mishaps among physicians and nurses. Citation Text: Pado K, Fraus K, Mulhem E, et al. Posttraumatic growth and second victim distress resulting from medical mishaps among physicians and nurses. J Clin Psychol Me…

3534. Implementation Quick Start Guide: Be Prepared To Be Engaged (pdf file)
      www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-family-engagement/pfeprimarycare/beprepared-quick-start-final508.pdf
      June 02, 2025 - Implementation Quick Start Guide: Be Prepared To Be Engaged The Guide to Improving Patient Safety in Primary Care Settings by Engaging Patients and Families Implementation Quick Start Guide Be Prepared To Be Engaged 1 Review intervention and training materials � Understand the purpose, use, and benefits of the B…

3535. Coronary Artery Disease (CAD) | Digital Healthcare Research
      digital.ahrq.gov/medical-condition/coronary-artery-disease-cad
      January 01, 2024 - Coronary Artery Disease (CAD) Rural EMS STEMI patients - why the delay to PCI? Citation Stopyra JP, Snavely AC, Ashburn NP, Supples MW, Brown WM, Miller CD, Mahler SA. Rural EMS STEMI patients - why the delay to PCI? Prehosp Emerg Care. 2024 Jan 18:1-8. doi: 10.1080/10903127.2…

3536. Primary Care | Digital Healthcare Research
      digital.ahrq.gov/type-care/primary-care
      January 01, 2023 - Primary Care Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings Description This research aims to improve the early detection of venous thromboembolism in primary and urgent care by using …

3537. Ambulatory Setting | Digital Healthcare Research
      digital.ahrq.gov/care-setting/ambulatory-clinic
      January 01, 2023 - Ambulatory Setting Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology Description This research develops and evaluates an artificial intelligence-enhanced pretreatment peer-review…

3538. USA, MA, Boston | Digital Healthcare Research
      digital.ahrq.gov/location/usa-ma-boston
      January 01, 2023 - USA, MA, Boston Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings Description This research aims to improve the early detection of venous thromboembolism in primary and urgent care by usi…

3539. Emergency Department | Digital Healthcare Research
      digital.ahrq.gov/care-setting/emergency-department
      January 01, 2023 - Emergency Department Disseminating and Implementing MedSMA℞T Families in Emergency Departments: A Randomized Control Trial to Assess Effectiveness of an Evidence-Based Gaming Intervention to Reduce Opioid Misuse Description This research tests the effectiveness of MedSMA℞T Mob…

3540. A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. | PSNet
      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…