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Showing results for "reduced".
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digital.ahrq.gov/type-care/pediatricsJanuary 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…
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digital.ahrq.gov/ahrq-funded-projects/development-and-assessment-artificial-intelligence-ai-enhanced-pretreatmentApril 01, 2024 - Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology Project Description Implementing an artificial intelligence (AI)-driven pretreatment peer-review process for radiation therapy (R…
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digital.ahrq.gov/principal-investigator/arora-vineetJanuary 01, 2024 - Arora, Vineet Real-world use of inhaled COPD medications: The good, the bad, the ugly. Citation Press VG. Real-world use of inhaled COPD medications: The good, the bad, the ugly. Chronic Obstr Pulm Dis. 2024 Jul 25;11(4):331-340. doi: 10.15326/jcopdf.2024.0546. PMID: 39054287;…
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digital.ahrq.gov/principal-investigator/press-valerie-gJanuary 01, 2024 - Press, Valerie G. Real-world use of inhaled COPD medications: The good, the bad, the ugly. Citation Press VG. Real-world use of inhaled COPD medications: The good, the bad, the ugly. Chronic Obstr Pulm Dis. 2024 Jul 25;11(4):331-340. doi: 10.15326/jcopdf.2024.0546. PMID: 39054…
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digital.ahrq.gov/organization/tufts-universityJanuary 01, 2023 - Tufts University Boston 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 i…
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digital.ahrq.gov/principal-investigator/shah-nirmish-rJanuary 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…
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digital.ahrq.gov/type-care/multi-specialty-careJanuary 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…
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digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-usingJanuary 01, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning Project Description Publications Identifying when broad-spectrum antibiotics can be safely avoided in suspected sepsis has the potential to impro…
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digital.ahrq.gov/ahrq-funded-projects/implementing-personalized-cross-sector-transitional-care-management-promote/citation/ambulatoryJanuary 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…
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digital.ahrq.gov/electronic-prescribing-0January 01, 2023 - In addition, payments to Medicare physicians who do not e-prescribe will be reduced by 1 percent in 2012
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digital.ahrq.gov/principal-investigator/clapp-markJanuary 01, 2023 - Clapp, Mark A. 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 fo…
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digital.ahrq.gov/program-overview/research-stories/optimizing-care-delivery-for-cliniciansJanuary 01, 2023 - Optimizing Care Delivery for Clinicians 2023 Research Stories An App to Help Rural Paramedics Improve Timeliness to Deliver Life-Saving Care for Patients Experiencing Heart Attacks Developing and implementing a point-of-care clinical decision support mobile application fo…
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digital.ahrq.gov/location/usa-il-chicagoJanuary 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…
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digital.ahrq.gov/health-care-theme/care-planningJanuary 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…
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digital.ahrq.gov/location/usa-ny-amherstJanuary 01, 2023 - USA, NY, Amherst Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients Description This research will integrate cross-sector care alerts…
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digital.ahrq.gov/principal-investigator/abraham-olufunmilolaJanuary 01, 2023 - Abraham, Olufunmilola Disseminating and Implementing MedSMA℞T Families in Emergency Departments: A Randomized Control Trial to Assess Effectiveness of an Evidence-Based Gaming Intervention to Reduce Opioid Misuse Description This research tests the effectiveness of MedSMA℞T Mo…
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digital.ahrq.gov/health-care-theme/transitions-careJanuary 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…
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digital.ahrq.gov/care-setting/hospital-intensive-care-unitJanuary 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…
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digital.ahrq.gov/program-overview/research-reports/2022-year-review/research-themes-and-findingsJanuary 01, 2022 - Research Themes and Findings The DHR program funds research that demonstrates how digital healthcare solutions can be designed and implemented to improve healthcare system performance and patient health outcomes. Our funded research focuses on advancing patient safety, care, and shared dec…
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digital.ahrq.gov/sites/default/files/docs/page/CongressionalBudgetOffice.pdfJanuary 01, 2009 - According to the agency, its use of health IT has reduced its costs and greatly improved the quality … If that is the pri mary channel through which lengths of stay are reduced, at least some costs will … If the widespread use of health IT reduced the cost of health care services, that decline would … costs in one area of a physician’s practice, for example, may be offset by increased costs or reduced … in a clinic’s o rder entry sys tem and reminding them of the date of the patient’s last test reduced
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