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Total Results: 4,670 records

Showing results for "types".

401. Developing and Using Valid Clinical Quality Metrics for HIT - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/developing-and-using-valid-clinical-quality-metrics-health-information/annual-summary/2010
     January 01, 2010 - Develop a modified set of quality metrics that can be retrieved electronically and is sensitive to the types

402. Facilitators and Barriers to Adoption of a Successful Urban Telemedicine Model - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/facilitators-and-barriers-adoption-successful-urban-telemedicine-model/annual-summary/2012
     January 01, 2012 - findings of utilization studies (based on billing claims) that telemedicine visits replace traditional types

403. Improving Care Transitions for Complex Patients through Decision Support - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/improving-care-transitions-complex-patients-through-decision-support/annual-summary/2011
     January 01, 2011 - patients with complex health care needs by facilitating the availability of information following three types

404. Supporting Continuity of Care for Poisonings with Electronic Information Exchange - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/supporting-continuity-care-poisonings-electronic-information-exchange/annual-summary/2010
     January 01, 2010 - If they do not achieve saturation of information (e.g. no new types of data or information), they will

405. Leveraging Health IT to Test Solutions That Are Replicable, Scalable, and Improve Patient Safety | Digital Healthcare Research
     digital.ahrq.gov/2018-year-review/research-spotlights/leveraging-health-it-test-solutions-are-replicable-scalable-and
     January 01, 2018 - It will likely take a multi-pronged health IT approach to prevent these types of errors.” - Dr.

406. Using Aviation Technology to Prevent Healthcare Errors: The Health IT Black Box | Digital Healthcare Research
     digital.ahrq.gov/2019-year-review/research-summary/using-aviation-technology-prevent-healthcare-errors-health-it
     January 01, 2019 - They looked to another high-risk industry—aviation—that has examined why and what types of errors occur

407. Kuperman GJ et al. 2003 "Computer physician order entry: benefits, costs, and issues." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kuperman-gj-et-al-2003
     January 01, 2003 - decrease costs, shorten length of stay, decrease medical errors, and improve compliance with several types

408. Women | Digital Healthcare Research
     digital.ahrq.gov/population/women
     January 01, 2024 - Women An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) Description This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for postpar…

409. Assessing Readiness, Achievement & Impact of Stage 3 Care Coordination Criteria - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/r18hs022674-adler-milstein-final-report-2014.pdf
     January 01, 2014 - Clarify what types of problems and medications should be reconciled to resolve heterogeneity in current … medications and medication allergies should be reconciled following a care transition, among other types … While federal criteria will dictate the types of information that must be shared to support transitions … as the ability to limit information by date range, check-boxes or radio buttons to deselect certain types … to create practice policies to ensure consistent use of the EHR, such as where to document specific types

410. Health Information Technology Center for Education and Research on Therapeutics (HIT-CERT) - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/publication/u19hs021094-bates-final-report-2017.pdf
     January 01, 2017 - Provider types studied included attending physicians, house-staff, and non-physicians with prescribing … reports override rates ranging from 50% to more than 90%, with DDIs being one of the most common alert types … Although few previous studies have compared such a broad array of alert types, we believe these results … First, we assessed the override responses to a very broad range of medication alert types, such as age-based … Both home grown and vendor system s performed equally well on both types of alerts. 17 http:0.74-0.85

411. Mann, Devin M | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/mann-devin-m
     January 01, 2023 - Mann, Devin M Opening the black box of an mHealth patient-reported outcome tool for diabetes self-management: Interview study among patients with type 2 diabetes. Citation Marini C, Cruz J, Payano L, Flores RP, Arena GM, Mandal S, Leven E, Mann D, Schoenthaler A. Opening the B…

412. Campbell JR et al. 1989 "Computerized medical records and clinic function." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/campbell-jr-et-al-1989
     January 01, 2023 - Campbell JR et al. 1989 "Computerized medical records and clinic function." Reference Campbell JR, Givner N, Seelig CB, et al. Computerized medical records and clinic function. MD Comput 1989;6(5):282-287. Abstract "Formal studies of computerized information systems for ambulatory patients are…

413. Using Precision Performance Measurement to Conduct Focused Quality Improvement | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-precision-performance-measurement-conduct-focused-quality-improvement
     January 01, 2023 - Using Precision Performance Measurement to Conduct Focused Quality Improvement Project Final Report ( PDF , 195.22 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily rep…

414. Data Flow & Clinical Outcomes in a Perinatal Continuum of Care System | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/data-flow-clinical-outcomes-perinatal-continuum-care-system
     January 01, 2023 - Data Flow & Clinical Outcomes in a Perinatal Continuum of Care System Project Final Report ( PDF , 533.13 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent th…

415. A Partnership for Clinician Electronic Health Record (EHR) Use and Quality of Care | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/partnership-clinician-electronic-health-record-ehr-use-and-quality-care
     January 01, 2023 - A Partnership for Clinician Electronic Health Record (EHR) Use and Quality of Care Project Final Report ( PDF , 812.92 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily…

416. Measuring the Value of Remote Intensive Care Unit (ICU) Monitoring | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/measuring-value-remote-intensive-care-unit-icu-monitoring
     January 01, 2023 - Measuring the Value of Remote Intensive Care Unit (ICU) Monitoring Project Final Report ( PDF , 138.96 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the v…

417. Maximizing Effectiveness of E-Prescribing Between Physicians and Community Pharmacies | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/maximizing-effectiveness-e-prescribing-between-physicians-and-community
     January 01, 2023 - Maximizing Effectiveness of E-Prescribing Between Physicians and Community Pharmacies Project Final Report ( PDF , 241.17 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessar…

418. Fish A, George S, Terrien E, et al. "Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/fish-george-s-terrien-e
     January 01, 2023 - Fish A, George S, Terrien E, et al. "Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study." Reference Fish A, George S, Terrien E, et al. Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study. AMIA Annu Symp Proc 20…

419. Core Measures TCNY AQA eQARR (pdf file)
     digital.ahrq.gov/sites/default/files/docs/resource/Mostashari_List_of_Measures_TCNY_AQA_eQARR_Crosswalk_1_30_08_Mostashari.pdf
     June 16, 2021 - Core Measures TCNY AQA eQARR Core Measures TCNY Measures AQA (included in TCNY Build) eQARR 2007 Measure Name BRIEF DESCRIPTION OF MEASURE OR ALERT TRIGGER Measure Name BRIEF DESCRIPTION OF MEASURE OR ALERT TRIGGER Measure Name BRIEF DESCRIPTION OF MEASURE OR ALERT TRIGGER Assess tobac…

420. Leveraging Health Information Technology to Avoid Unnecessary Asymptomatic Carotid Revascularization | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/leveraging-health-information-technology-avoid-unnecessary-asymptomatic-carotid-revascularization
     January 01, 2023 - Leveraging Health Information Technology to Avoid Unnecessary Asymptomatic Carotid Revascularization Project Final Report ( PDF , 179.69 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and …