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Showing results for "reduces".

  1. digital.ahrq.gov/2018-year-review/research-dissemination/journals
    January 01, 2018 - AHRQ-Funded Researchers Disseminate in High-Impact Journals In 2018, AHRQ-funded researchers published over 100 research articles in peer-reviewed journals and book chapters, including the following: Development and Dissemination of a Novel Quality Improvement Framework to Improve Care…
  2. digital.ahrq.gov/organization/massachusetts-general-hospital
    January 01, 2023 - Massachusetts General Hospital Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning Description This research uses large language models and machine learning to retrospectively analyze electronic health …
  3. digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/multivoting
    January 01, 2023 - Multivoting Description Multivoting provides a means of reducing a large list of options to a smaller list of the best options or top priorities. It can also reduce a list to one single selection. The method can allow an idea that is liked by all members of a group to rise to the top of the list, even…
  4. digital.ahrq.gov/type-care/pediatrics
    January 01, 2023 - Pediatrics Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children Description This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-time acces…
  5. digital.ahrq.gov/health-care-theme/mobile-health
    January 01, 2023 - Mobile Health Examining the Feasibility and Effectiveness of an mHealth Solution Designed to Enhance Clinical Outcomes Among Patients Attending Physical Therapy for Musculoskeletal Pain Description This research examines whether remote therapeutic monitoring can improve physic…
  6. digital.ahrq.gov/population/medically-underserved-populations
    January 01, 2023 - Medically Underserved Populations Cultural adaptations of psychological interventions for prevalent sleep disorders and sleep disturbances: A systematic review of randomized controlled trials in the United States. Citation Alcántara C, Cosenzo LG, McCullough E, Vogt T, Falzon …
  7. digital.ahrq.gov/ahrq-funded-projects/mhealth-delivery-motivational-intervention-address-heavy-drinking-among-college
    January 01, 2023 - mHealth Delivery of a Motivational Intervention to Address Heavy Drinking Among College Students Project Final Report ( PDF , 279.84 KB) Disclaimer Disclaimer   The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do…
  8. digital.ahrq.gov/health-it-tools-and-resources/implementation-toolsets-e-prescribing/toolset-e-prescribing/tool-31a-goals-worksheet
    January 01, 2023 - Tool 3.1a: Goals Worksheet Step 1. Review goals Review what goals can be achieved with e prescribing. Here are some examples: Reduce medication errors. Reduce the time spent on phone calls, faxing, and call-backs to pharmacies. Automate prescription renewal requests and authorizati…
  9. digital.ahrq.gov/principal-investigator/dorsch-michael
    January 01, 2023 - Dorsch, Michael A computable algorithm for medication optimization in heart failure with reduced ejection fraction. Citation Dorsch, M, Sifuentes, A, Cordwin, D. et al. A computable algorithm for medication optimization in heart failure with reduced ejection fraction. JACC Adv…
  10. digital.ahrq.gov/ahrq-funded-projects/tele-toc-telehealth-education-leveraging-electronic-transitions-care-copd-patients
    January 01, 2023 - TELE-TOC Telehealth Education Leveraging Electronic Transitions of Care for COPD Patients Project Description Research Story Virtual visits with members of a pharmacy team can support patients recently discharged from the hospital with their medication use and improve out…
  11. digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care
    January 01, 2024 - Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction Project Description Publications Research Story Developing artificial intelligence-based health information technol…
  12. digital.ahrq.gov/type-care/multi-specialty-care
    January 01, 2023 - Multi-Specialty Care EnhanCed HandOffs (ECHO) Description This research will develop and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative handoffs to reduce the risks of patient complications and improve patient-c…
  13. digital.ahrq.gov/principal-investigator/shah-nirmish-r
    January 01, 2023 - Shah, Nirmish R. Use of mobile technology to monitor pain and reduce outpatient, emergency department (ED), and hospital visits for sickle cell pain crisis. Citation Narine K, Chang J, Jonassaint J, et al. Use of mobile technology to monitor pain and reduce outpatient, emerge…
  14. digital.ahrq.gov/location/usa-il-chicago
    January 01, 2023 - USA, IL, Chicago A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients Description This research will develop, train, test, and evaluate a machine learning classifier to identify risk for HIV acquis…
  15. digital.ahrq.gov/health-care-theme/care-planning
    January 01, 2023 - Care Planning Cloud Care: A Feasibility Study of Cloud-Based Care Plans for Children With Medical Complexity Description This research evaluated Cloud Care, a cloud-based longitudinal multidisciplinary care plan for children with medical complexity and found that perceived eas…
  16. digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care
    March 31, 2025 - Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction Project Description Publications Research Story Creating a visualization tool that applies innovative machine learning prediction methods may improve health…
  17. digital.ahrq.gov/ahrq-funded-projects/implementing-personalized-cross-sector-transitional-care-management-promote/citation/ambulatory
    January 01, 2024 - Ambulatory care coordination data gathering and use. Citation Geary CR, Hook M, Popejoy L, Smith E, Pasek L, Heermann Langford L, Hewner S. Ambulatory care coordination data gathering and use. Comput Inform Nurs. 2024 Jan 1;42(1):63-70. doi: 10.1097/CIN.0000000000001069. PMID: 37748014. Link h…
  18. digital.ahrq.gov/care-setting/hospital-intensive-care-unit
    January 01, 2023 - Intensive Care Unit ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Description The study will develop, validate, implement, and assess the usability of a machine learning based clinical decision support tool designed to reduce laboratory testing overutili…
  19. digital.ahrq.gov/health-care-theme/transitions-care
    January 01, 2023 - Transitions in Care Scalable Digital Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery Description This research will develop and evaluate the Perioperative Optimization of Senior Health (myPOSH) mobile application that…
  20. digital.ahrq.gov/organization/tufts-university
    January 01, 2023 - Tufts University Intervention INC: An Interactive Family-Centered mHealth Tool to Reduce Obesity Risk in Urban Minority Preadolescents Description This research will adapt and extend Intervention INC, a family-centered, interactive, health promotion tool, and evaluate its effe…

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