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Total Results: 1,694 records

Showing results for "understand".

401. Cloud Care: A Feasibility Study of Cloud-Based Care Plans for Children with Medical Complexity - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs027465-desai-final-report-2023.pdf
     January 01, 2023 - literacy of participants; therefore, future usability and feasibility studies should be conducted to understand … Usefulness:  Sub-specialty provider did not understand the general purpose of care plans and why … Future research is needed to understand whether a cloud-based care plan may be most beneficial among … This study also presents several additional research opportunities to better understand the impact … As cloud- based health ITs become more prevalent, studies such as these are imperative to understand

402. Using Health Information Technology in Practice Redesign: Impact of Health Information Technology on Workflow - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/using-health-it-practice-redesign-impact-health-it-workflow/annual-summary/2012
     January 01, 2012 - This information will be used for within-case and across-case analyses to understand how using health

403. Pathways to Quality through Health Information Technology - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/pathways-quality-through-health-information-technology/annual-summary/2012
     January 01, 2012 - To continue such efforts, AHRQ seeks to further understand trends in health IT-related health care quality

404. Opportunistic Decision Making Information Needs and Workflow in Emergency Care - 2012 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/opportunistic-decision-making-information-needs-and-workflow-emergency-care/annual-summary/2012
     January 01, 2012 - (Ongoing) Identify the information needs and understand the mechanisms and impacts of opportunistic

405. Optimizing Care Delivery for Clinicians | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/optimizing-care-delivery-for-clinicians
     January 01, 2023 - decision support tool helps patients and physicians use at-home measured blood pressure data to better understand

406. Health Care Stakeholder Participation in Health Information Exchanges | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/health-care-stakeholder-participation-health-information-exchanges
     January 01, 2023 - was to bring stakeholders together to explore the incentives for joining a local HIE or RHIO and to understand

407. Strengthening Patient Engagement to Improve Care and Shared Decision Making | Digital Healthcare Research
     digital.ahrq.gov/2020-year-review/research-summary/strengthening-patient-engagement-improve-care-and-shared-decision-making
     January 01, 2020 - The study underscored the need to understand how digital healthcare tools can be used to support patients

408. Electronic Records to Improve Care for Children | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/electronic-records-improve-care-children
     January 01, 2023 - and emergency medicine; to demonstrate improvements in quality of care for children with asthma; to understand

409. Barriers to Meaningful Use in Medicaid - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/barriers-meaningful-use-medicaid/annual-summary/2010
     January 01, 2010 - These activities will help Federal stakeholders understand the barriers to meaningful use among Medicaid

410. Barriers to Meaningful Use in Medicaid - 2011 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/barriers-meaningful-use-medicaid/annual-summary/2011
     January 01, 2011 - These activities will help Federal stakeholders understand the barriers to meaningful use among Medicaid

411. Building Health IT Research Capacity (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/buildinghealthitresearchcapacity.pdf
     December 01, 2012 - Impact of Health IT on Demand for Inpatient Services Eric Barrette conducted a demand analysis to understand … participants (95 percent) felt that a patient portal would provide access to information to help them better understand … completed his doctoral work at the University of Minnesota, conducted a demand analysis to better understand

412. Precision Emergency Medicine: Setting a Research Agenda - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r13hs029275-final-report-gisondi-2023.pdf
     January 01, 2023 - This speaker will have expertise in healthcare access, understand the application of health technology … • Objective 1: Understand how “big data” will alter the practice of emergency medicine • Objective … • Objective 1: Understand how consumer health technologies and individual data will impact people … (3) Data Science “Physician Retraining” - (2) -Omics and (8) Health Professions • Objective 1: Understand

413. CDSiC Innovation Center: Quarterly Report (pdf file)
     digital.ahrq.gov/sites/default/files/Innovation%20Center%20Q2%202024%20Progress%20Report.pdf
     June 26, 2024 - Quarterly Status Update June 2024 prototypes to help patients, clinicians, and CDS developers understand … The app can ask questions in English or Spanish and will use natural language processing (NLP) to understand … assessment team began joining the weekly meetings with Core 2 and the health system technical team to understand

414. How To: Collaborate with Patients on Patient-Centered Clinical Decision Support (pdf file)
     digital.ahrq.gov/sites/default/files/Collaborate%20with%20Patients%20How%20To%20Guide_Final%208.27.25.pdf
     August 01, 2024 - The CDSiC aims to better understand what makes CDS patient-centered by creating resources to support … Patients, caregivers, and patient advocates can use this resource to understand how their experiences … highlighting the innovative solutions developed by these projects, the report helps stakeholders better understand

415. Annual Conferences on Health IT & Analytics 2021-2023 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/annual-conference-health-it-analytics-2021-2023
     January 01, 2023 - knowledge gaps in HIT+A facilitates collaboration and promotes the opportunity for these stakeholders to understand

416. Natural Language Processing System | Digital Healthcare Research
     digital.ahrq.gov/technology/natural-language-processing-system
     January 01, 2024 - Natural Language Processing System Quality of answers of generative large language models versus peer users for interpreting laboratory test results for lay patients: Evaluation study. Citation He Z, Bhasuran B, Jin Q, Tian S, Hanna K, Shavor C, Arguello LG, Murray P, Lu Z. Qu…

417. Designing Digital Healthcare Technology to Support Cognitive Team Work in Pediatric Trauma Settings | Digital Healthcare Research
     digital.ahrq.gov/program-overview/research-stories/designing-digital-healthcare-technology-support-cognitive-team
     January 01, 2023 - engineering approaches, they interviewed and conducted design sessions with pediatric trauma staff to understand

418. Ambulatory Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/ambulatory-care
     January 01, 2023 - methods (stakeholder interviews and surveys, electronic health records, and machine learning) to better understand

419. Primary Care | Digital Healthcare Research
     digital.ahrq.gov/type-care/primary-care
     January 01, 2023 - methods (stakeholder interviews and surveys, electronic health records, and machine learning) to better understand

420. Unertl KM, Weinger MB, Johnson KB, et al. "Describing and modeling workflow and information flow in chronic disease care." | Digital Healthcare Research
     digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/unertl-km
     January 01, 2023 - Unertl KM, Weinger MB, Johnson KB, et al. "Describing and modeling workflow and information flow in chronic disease care." Reference Unertl KM, Weinger MB, Johnson KB, et al. Describing and modeling workflow and information flow in chronic disease care. J Am Med Inform Assoc 2009 Nov-Dec;16(6):826-36.…