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361. Implementing USPSTF Recommendations for Breast Cancer Screening and Prevention by Integrating Clinical Decision Support Tools with the Electronic Health Record | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/implementing-uspstf-recommendations-breast-cancer-screening-and-prevention
     January 01, 2023 - Evaluate use of EHR-integrated MammoScreen by clinicians and patients across age groups and measure clinical … The research team will measure the use of MammoScreen among patients, observing the application adoption

362. Improving Health Care through Health Information Technology in Morgan County, IN - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015258-aders-final-report-2007.pdf
     January 01, 2007 - Both qualitative and quantitative measures were obtained. … Pre- and post-implementation measures were analyzed using repeated measures analysis of variance techniques … Both qualitative and quantitative measures were obtained. … Pre- and post-implementation measures were analyzed using repeated measures analysis of variance techniques … Measures Quantitative measures of satisfaction with clinical information processes and perceived efficiency

363. Gilmet GP et al. 1998 "The use of an integrated clinical laboratory and pharmacy diabetes database to provide physician performance feedback in an IPA-model HMO." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/gilmet-gp-et-al-1998
     January 01, 1998 - methodology can augment physician decision-making behavior, promote compliance with national guidelines, and measure

364. i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-Reported Data Into Diabetes Management - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r01hs026522-schoenthaler-final-report-2023.pdf
     January 01, 2023 - With the exception of the process measures collected in the formative phase, study measures and timing … Measures Formative Phase Process measures Patient use of mobile technology: before the focus groups … The Cronbach's alpha for the scales range from 0.69 to 0.84). … A generalized linear mixed effects model was used to measure HbA1c as a dependent variable. … A generalized linear mixed effects model was used to measure HbA1c as a dependent variable.

365. Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/development-and-assessment-artificial-intelligence-ai-enhanced-pretreatment
     April 01, 2024 - Researchers will measure improvements by tracking errors in treatment plans, the time and effort required

366. Defining Barriers/Solutions for Collecting Quality Performance - 2009 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/defining-barrierssolutions-collecting-quality-performance-measures/annual-summary/2009
     January 01, 2009 - Name Defining Barriers and Potential Solutions for Collecting and Reporting Quality Performance Measures … comprehensively describe the issues involved in supporting primary care practices to collect and report quality measure

367. Health Information Technology Value Project: Chief Information Officer Interview Guide (pdf file)
     digital.ahrq.gov/sites/default/files/docs/survey/health-information-technology-value-project-chief-information-officer-interview-guide.pdf
     June 16, 2021 - Do they measure outcomes? 22.

368. mHealth Delivery of a Motivational Intervention to Address Heavy Drinking Among College Freshmen - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023875-kazemi-final-report-2018.pdf
     January 01, 2018 - Measures: 1. … Stage 2 (AIM 2): The following seven measures were administered at baseline and 6-weeks to determine … The Daily Drinking Questionnaire (DDQ) measures the typical alcohol usage over a typical week in the … Also, the study measures were self-reported, so the researchers depended on the participants to be truthful … The three sub-scales and their average scores were, usefulness (M = 5.68, SD = 1.06, α = .78), ease

369. Enhancing Complex Care through an Integrated Care Coordination Information System - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-complex-care-through-integrated-care-coordination-information-system/annual-summary/2010
     January 01, 2010 - system (ICCIS) that incorporates population management techniques, patient-centered goals, quality measures … Measures include indicators of patient engagement, clinic-level quality of care, clinic-level process … Quality measures were selected and defined. … A protocol was developed for how and where to extract the data from the EHRs into ICCIS for quality-measure … In terms of the quality improvement measures, of the five quality improvement measures tracked in the

370. "First, Do No Harm": Using Health Information Technology to Reduce Use of Preventive Services with Potential Harms | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/first-do-no-harm-using-health-information-technology-reduce-use-preventive
     January 01, 2023 - with clinical decision support – successes, failures, information needs, and links with performance measures … Incorporate quality measurement Develop a negative performance measure that tracks use of an unnecessary

371. How Do I Evaluate Workflow? (ppt file)
     digital.ahrq.gov/sites/default/files/docs/workflowtoolkit/WhyCareAboutWorkflow.ppt
     January 01, 2010 - Internal Medicine, 143 (3), pp.222-226 Some more experiences How the Electronic Health Record Did not Measure … How the Electronic Health Record did not measure up to the demands of our medical home practice.

372. Medication Monitoring for Vulnerable Populations via Information Technology (MMITI) - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/medication-monitoring-vulnerable-populations-information-technology-mmiti/annual-summary/2010
     January 01, 2010 - The quality and safety measures evaluated were developed for ambulatory care by the National Committee … An automated query that used the BMS EHR to find eligible patients for the measures was developed. … Data to fulfill the measures were collected by a newly-developed, bidirectional interface and patient … Complex eligibility rules for quality measures may limit the usefulness of human EHR reviewers. … able to measure provider responses to other quality improvement or practice management interventions

373. Findings and Lessons From the AHRQ Ambulatory Safety and Quality Program (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/findings-and-lessons-from-the-ahrq-ambulatory-safety-and-quality-program.pdf
     August 09, 2013 - Developing and Testing Quality Measures 2. … Areas of interest highlighted in the EQM report include developing new measures, accuracy of measure … Developing and Testing Quality Measures 2. … Examples of the types of measures devel- oped and tested in these studies include measures of diabetes … intervention generated statistically significant improvements in diabetes self-efficacy and some sub- scales

374. Examination of the Use of Electronic Health Record Data for Measuring Performance in Diabetes Care - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r36hs020165-hirsch-final-report-2012.pdf
     January 01, 2012 - We assessed the sensitivity and specificity of each method and calculated performance measure scores … to determine whether the method of identifying the patients was associated with performance measure … , the population of patients whose quality you are trying to measure.16 The method for identifying … Measures. … Performance measures.

375. Health Information Technology to Support Integration of Self-Management Support in Primary Care Delivery | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-information-technology-support-integration-self-management-support
     January 01, 2023 - record (EHR) to help prompt and document SMS within a newly designed model of care; and  What key measure

376. Improving Care Transitions of Hospitalized Patients With the Pharmacy Integrated Transitions Program | Digital Healthcare Research
     digital.ahrq.gov/2020-year-review/research-summary/improving-care-transitions-hospitalized-patients-pharmacy-integrated-transitions-program
     January 01, 2020 - The research team will also measure equity within the program’s implementation, observing how people

377. Hyperlipidemia (HL) | Digital Healthcare Research
     digital.ahrq.gov/medical-condition/hyperlipidemia-hl
     January 01, 2023 - Hyperlipidemia Description This project designed and validated a new diabetes quality of care process measure

378. Medication Management | Digital Healthcare Research
     digital.ahrq.gov/health-care-theme/medication-management
     January 01, 2023 - Information Technology Description This study implemented a mobile health (mHealth) platform to measure

379. Virtual Reality at the Point of Care to Increase Uptake of Medications for Opioid Use Disorder (MOUD) in the Emergency Department | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/virtual-reality-point-care-increase-uptake-medications-opioid-use-disorder
     September 30, 2023 - will track five process indicators: average number of eligible patients randomized per month, baseline measure

380. Enhancing Patient Matching in Support of Operational Health Information Exchange | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-patient-matching-support-operational-health-information-exchange
     April 29, 2023 - project were as follows: Implement three general classes of recommended matching data enhancements and measure … Measure the matching accuracy improvements resulting from using combinations of 1) three best practice … underlying correlation between agreeing fields), and the benefits of data standardization and similarity measures