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Showing results for "measure".
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401. Structuring Care Recommendations for Clinical Decision Support - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/structuring-care-recommendations-clinical-decision-support/annual-summary/2010
     January 01, 2010 - Preventive Services Task Force (USPSTF) and up to 20 recommendations underlying clinical performance measures … This includes leveraging codes and structures used to express clinical performance measures in a computable … clinical recommendations for A and B grade USPSTF guideline statements, as well as a few meaningful use measures … These include eMeasures for quality measurement, which draw on the Health Quality Measure Format and … tools that better manage the knowledge from evidence-based clinical guidelines and accepted quality measures

402. Development and evaluation of patient-reported outcome score visualization to improve their utilization (PROVIZ) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs027228-gold-final-report-2021.pdf
     January 01, 2021 - intuitiveness, quickness, and likelihood of recommending the charts by asking participants to fill out Likert scales … We also collected 4 user preference metrics via Likert scales at the end of our survey. … Measure once, cut twice--adding patient-reported outcome measures to the electronic health record for … Implementation of patient-reported outcome measures in U.S. … Impact of patient-reported outcome measures on routine practice: a structured review.

403. Encoding and Processing Patient Allergy Information in EHRs - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs022728-zhou-final-report-2018.pdf
     January 01, 2018 - The NLP module achieved an F-measure of 96.7% for the detection of allergens. … Study Design and Measures Aim 1 We mapped both structured and free-text allergy entries in PEAR to … Our performing model was an SVM, which achieved an F-measure of 74.0%. … MTERMS achieved an F-measure of 87.6% for the detection of allergen names and no known allergies, 90% … and Context Settings and Participants Methods Data Sources and Collection Study Design and Measures

404. Implementation and Evaluation of Standing Orders Using Health Information Technology - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/implementation-and-evaluation-standing-orders-using-health-information/annual-summary/2010
     January 01, 2010 - The outcome measures for this study include: Four screening measures (cholesterol, HDL-cholesterol … Six adult immunization measures (tetanus, zoster, and two measures each for influenza and pneumonia). … The research team used quarterly EMR data extracts to measure the presence of health maintenance templates … , use of the templates, and performance on the study measures for each practice. … increases in these measures over time.

405. Use of Push and Pull Health Information Exchange Technologies by Ambulatory Care Practices and the Impact on Potentially Avoidable Health Care Utilization - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs024556-vest-final-report-2019.pdf
     January 01, 2019 - Methods: Using providers in western New York state, we were able to measure both “pull” and “push” HIE … Measures We extracted several measures as potential control variables. … Measures We examined three distinct types of potentially preventable health care utilization. … Third, we were only able to measure HIE adoption and not actual usage.

406. TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in Acute Respiratory Distress Syndrome | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/treat-ecards-translating-evidence-action-electronic-clinical-decision-support
     January 01, 2023 - likelihood of ARDS in real time and tracks outcomes and electronic health (EHR) record-based performance measures … To measure and track the chosen EBPs, the research team developed and validated EPMs.

407. Patient-Centered Online Care Model for Followup Management of Atopic Dermatitis - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-centered-online-care-model-follow-management-atopic-dermatitis/annual-summary/2012
     January 01, 2012 - These included the Patient-Oriented Eczema Measure to assess disease severity, and the Dermatology Life

408. Patient-Centered Online Care Model for Followup Management - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/patient-centered-online-care-model-follow-management-atopic-dermatitis/annual-activity/2010
     January 01, 2010 - groups complete multiple self assessment tools at each visit, including the Patient-Oriented Eczema Measure

409. Simon SR et al. 2007 "Physicians and electronic health records - a statewide survey." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/simon-sr-et-al-2007
     January 01, 2007 - about 1 in 4 physicians reported dissatisfaction with medical practice; there was no difference in this measure

410. Lester WT et al. 2009 "Mammography FastTrack: an intervention to facilitate reminders for breast cancer screening across a heterogeneous multi-clinic primary care network." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/experience/lester-wt-et-al-2009
     January 01, 2009 - Because physician use of this tool was entirely voluntary, ongoing system usage may be considered a key measure

411. Chaudhry B et al. 2006 "Systematic review: impact of health information technology on quality, efficiency, and costs of medical care." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/chaudhry-b-et-al-2006
     January 01, 2006 - Data on another efficiency measure, time utilization, were mixed.

412. Health Information Exchange Utilization and Inter-hospital Transfer Outcomes - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs026732-usher-final-report-2023.pdf
     January 01, 2023 - Number: R01 HS26732 STRUCTURED ABSTRACT Purpose: The long-term goal of this study was to measure … Measures: RQ1: In-hospital mortality was the primary measure. … RQ2: In-hospital mortality was the primary measure, we additionally evaluated process adherence across … Finally, our primary measure is inpatient or 30-day mortality for patients who were transferred. … While this measure has flaws, we felt this best reflected the worst outcome associated with transfers

413. Measuring and Improving Ambulatory Patient Safety with an Electronic Dashboard - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs021322-sarkar-final-report-2015.pdf
     January 01, 2015 - patient data in an electronic interface have been utilized in research and quality improvement to measure … Measures: Measures of the reach, efficacy, adoption, and implementation of this dashboard … To measure the efficacy of this aspect of the HIT innovation, we measured the number of patients lost … Clinical Outcomes TTR is a measure of the length of time that a patient’s INR is maintained within … dashboard by discerning provider and patient satisfaction through structured interviews and satisfaction scales

414. Improving Patient Safety/Quality with HIT Implementation (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015284-reiling-final-report-2008.pdf
     January 01, 2008 - Measure the length of stay, patient satisfaction, and cost in the current system, and then after Epic … This study utilized the Piper Fatigue Survey to measure the subjective level of fatigue in the nursing … The study was designed to measure noise levels on the Medical-Surgical Units, Intensive Care Unit, and … pre-established process for tracking, recording, and grading medication safety reports using the IHI harm scales … Patient satisfaction is difficult to compare over time, due to mandated changes in scales to support

415. Using Health Information Technology to Improve Health Care Quality in Primary Care Practices and in Transitions between Care Settings | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-health-care-quality-primary-care-va
     January 01, 2023 - Measure the utilization and effectiveness of the IPHR.

416. Integration of an NLP-based Application to Support Medication Management | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/integration-nlp-based-application-support-medication-management
     January 01, 2023 - Pilot the tool in two primary care clinics and measure the utilization, usability, performance, and feasibility

417. New Mexico Health Information Collaborative (NMHIC) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/new-mexico-health-information-collaborative-nmhic
     January 01, 2023 - Employers received aggregate reports on the health of their workforce, enabling them to develop and measure

418. Feedback of Treatment Intensification Data to Reduce Cardiovascular Disease Risk | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/feedback-treatment-intensification-data-reduce-cardiovascular-disease-risk
     January 01, 2023 - clinicians appropriately increase pharmacotherapy in the face of poor control, has been proposed as a new measure

419. Quantifying Efficiencies Gained through Shareable Clinical Decision Support Resources | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/quantifying-efficiencies-gained-through-shareable-clinical-decision-support
     January 01, 2023 - Close Project Description Publications Finding ways to measure

420. State and Regional Demonstration in Health Information Technology: Tennessee | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/state-and-regional-demonstration-health-information-technology-tn
     January 01, 2023 - Project leaders are still busy figuring out how to measure the project's return on investment, but Mark … Next Steps As the Alliance examines ways to measure its return on investment from the project, the