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Showing results for "clinic".
Users also searched for: clinical practice guidelines

  1. Screening for Skin Cancer: U.S. Preventive Services Task Force Recommendation Statement (pdf file)

    www.uspreventiveservicestaskforce.org/home/getfilebytoken/YFZy6kszQPq5tNGdZC25XC
    July 26, 2016 - Screening for Skin Cancer: U.S. Preventive Services Task Force Recommendation Statement Copyright 2016 American Medical Association. All rights reserved. Screening for Skin Cancer US Preventive Services Task Force Recommendation Statement US Preventive Services Task Force T he US Preventive Services Task Force (USP…

  2. Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey. | PSNet

    psnet.ahrq.gov/issue/overall-performance-drug-drug-interaction-clinical-decision-support-system-quantitative
    August 10, 2022 - Study Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey. Citation Text: Van De Sijpe G, Quintens C, Walgraeve K, et al. Overall performance of a drug–drug interaction clinical decision support system: quantitative…

  3. The MedSafer study-electronic decision support for deprescribing in hospitalized older adults: a cluster randomized clinical trial. | PSNet

    psnet.ahrq.gov/issue/medsafer-study-electronic-decision-support-deprescribing-hospitalized-older-adults-cluster
    July 31, 2019 - Study The MedSafer study-electronic decision support for deprescribing in hospitalized older adults: a cluster randomized clinical trial. Citation Text: McDonald EG, Wu PE, Rashidi B, et al. The MedSafer study-electronic decision support for deprescribing in hospitalized older adults: a …

  4. A national assessment on patient safety curricula in undergraduate medical education: results from the 2012 clerkship directors in internal medicine survey. | PSNet

    psnet.ahrq.gov/issue/national-assessment-patient-safety-curricula-undergraduate-medical-education-results-2012
    June 07, 2023 - Study A national assessment on patient safety curricula in undergraduate medical education: results from the 2012 clerkship directors in internal medicine survey. Citation Text: Jain CC, Aiyer MK, Murphy EJ, et al. A national assessment on patient safety curricula in undergraduate medica…

  5. Turning the medical gaze in upon itself: root cause analysis and the investigation of clinical error. | PSNet

    psnet.ahrq.gov/issue/turning-medical-gaze-upon-itself-root-cause-analysis-and-investigation-clinical-error
    June 14, 2011 - Study Turning the medical gaze in upon itself: root cause analysis and the investigation of clinical error. Citation Text: Iedema RAM, Jorm C, Long D, et al. Turning the medical gaze in upon itself: root cause analysis and the investigation of clinical error. Soc Sci Med. 2006;62(7):16…

  6. Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis. | PSNet

    psnet.ahrq.gov/issue/evaluating-mobile-application-improving-clinical-laboratory-test-ordering-and-diagnosis
    August 07, 2019 - Study Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis. Citation Text: Meyer AND, Thompson PJ, Khanna A, et al. Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis. J Am Med Inform Assoc. 2018;25(7):84…

  7. Overrides of medication-related clinical decision support alerts in outpatients. | PSNet

    psnet.ahrq.gov/issue/overrides-medication-related-clinical-decision-support-alerts-outpatients
    September 01, 2016 - Study Overrides of medication-related clinical decision support alerts in outpatients. Citation Text: Nanji KC, Slight SP, Seger DL, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21(3):487-91. doi:10.1136/amiajnl-2013-…

  8. A cross-sectional observational study of high override rates of drug allergy alerts in inpatient and outpatient settings, and opportunities for improvement. | PSNet

    psnet.ahrq.gov/issue/cross-sectional-observational-study-high-override-rates-drug-allergy-alerts-inpatient-and
    July 02, 2019 - Study A cross-sectional observational study of high override rates of drug allergy alerts in inpatient and outpatient settings, and opportunities for improvement. Citation Text: Slight SP, Beeler PE, Seger DL, et al. A cross-sectional observational study of high override rates of drug al…

  9. Utilizing Health Information Technology (IT) to Improve Health Care Quality (R18) | Digital Healthcare Research

    digital.ahrq.gov/funding-mechanism/utilizing-health-information-technology-it-improve-health-care-quality-r18
    January 01, 2023 - Utilizing Health Information Technology (IT) to Improve Health Care Quality (R18) The implementation of a perinatal continuum of care information system: lessons learned. Citation Levick D, Sheinberg M. The implementation of a perinatal continuum of care information system: l…

  10. Analysis of clinical decision support system malfunctions: a case series and survey. | PSNet

    psnet.ahrq.gov/issue/analysis-clinical-decision-support-system-malfunctions-case-series-and-survey
    April 29, 2018 - Study Analysis of clinical decision support system malfunctions: a case series and survey. Citation Text: Wright A, Hickman T-TT, McEvoy D, et al. Analysis of clinical decision support system malfunctions: a case series and survey. J Am Med Inform Assoc. 2016;23(6):1068-1076. doi:10.1093…

  11. Improving Quality through Health Information Technology: Testing the Feasibility and Assessing the Impact of Using Existing Health Information Technology Infrastructure for Better Care Delivery | Digital Healthcare Research

    digital.ahrq.gov/ahrq-funded-projects/improving-quality-through-health-information-technology-testing-feasibility-and
    January 01, 2023 - Improving Quality through Health Information Technology: Testing the Feasibility and Assessing the Impact of Using Existing Health Information Technology Infrastructure for Better Care Delivery Project Final Report ( PDF , 193.24 KB) × Disclaimer Disclaimer details Clos…

  12. Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. | PSNet

    psnet.ahrq.gov/issue/accuracy-emergency-department-clinical-findings-diagnosis-coronavirus-disease-2019
    September 09, 2020 - Study Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. Citation Text: Peyrony O, Marbeuf-Gueye C, Truong V, et al. Accuracy of emergency department clinical findings for diagnosis of coronavirus disease 2019. Ann Emerg Med. 2020;76(4):405-412.…

  13. A framework for evaluating the appropriateness of clinical decision support alerts and responses. | PSNet

    psnet.ahrq.gov/issue/framework-evaluating-appropriateness-clinical-decision-support-alerts-and-responses
    March 21, 2017 - Study A framework for evaluating the appropriateness of clinical decision support alerts and responses. Citation Text: McCoy AB, Waitman LR, Lewis JB, et al. A framework for evaluating the appropriateness of clinical decision support alerts and responses. J Am Med Inform Assoc. 2012;19…

  14. CDSiC Innovation Center Quarterly Report, January to March 2022 | CDSiC

    cdsic.ahrq.gov/cdsic/innovation-center-quarterly-report-quarter-one
    April 01, 2022 - : Skip to main content HHS.gov Menu Main navigation CDS Home CDS Innovation Collaborative An official website of the Department of Health & Human Services …

  15. Listen to me, I really am sick! Patient and family narratives of clinical deterioration before and during rapid response system intervention. | PSNet

    psnet.ahrq.gov/issue/listen-me-i-really-am-sick-patient-and-family-narratives-clinical-deterioration-and-during
    June 25, 2018 - Study Listen to me, I really am sick! Patient and family narratives of clinical deterioration before and during rapid response system intervention. Citation Text: Bucknall TK, Guinane J, McCormack B, et al. Listen to me, I really am sick! Patient and family narratives of clinical deterio…

  16. 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…

  17. Interoperability | Digital Healthcare Research

    digital.ahrq.gov/health-care-theme/interoperability
    January 01, 2023 - Interoperability Development of SMART on FHIR Interoperable Clinical Decision Support for Emergency Department Patients with Pneumonia and Pilot Deployment into Novel Epic Electronic Health Record Environments Description This research will develop a SMART on FHIR version of a…

  18. Does clinical supervision of health professionals improve patient safety? A systematic review and meta-analysis. | PSNet

    psnet.ahrq.gov/issue/does-clinical-supervision-health-professionals-improve-patient-safety-systematic-review-and
    August 04, 2021 - Review Does clinical supervision of health professionals improve patient safety? A systematic review and meta-analysis. Citation Text: Snowdon DA, Hau R, Leggat SG, et al. Does clinical supervision of health professionals improve patient safety? A systematic review and meta-analysis. Int…

  19. User Guide (v2025.1) for Clinical Classifications Software Refined (CCSR) for ICD-10-CM (pdf file)

    hcup-us.ahrq.gov/toolssoftware/ccsr/DXCCSR-User-Guide-v2025-1.pdf
    November 01, 2024 - User Guide (v2025.1) for Clinical Classifications Software Refined (CCSR) for ICD-10-CM USER GUIDE: CLINICAL CLASSIFICATIONS SOFTWARE REFINED (CCSR) FOR ICD-10-CM DIAGNOSES, v2025.1 Issued November 2024 Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project (HCUP) Phone: (866) 2…

  20. Hospital Inpatient Statistics, 1996

    hcup-us.ahrq.gov/reports/natstats/his96/clinclas.htm
    September 01, 1999 - Hospital Inpatient Statistics, 1996 Hospital Inpatient Statistics, 1996 Contents Foreword Overview HCUP Databases Software Tools Data HCUP Nationwide Inpatient Sample Study sample Description of the classification systems Descriptive statistics Using the tables Conclusion References Tables Se…
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