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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 …
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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…
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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 …
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digital.ahrq.gov/ahrq-funded-projects/home-heart-failure-hf-care-comparing-patient-driven-technology-models
January 01, 2023 - Management was compared to Self Management to test the hypothesis that both interventions are equivalent in reducing
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digital.ahrq.gov/ahrq-funded-projects/bringing-high-performing-systems-small-practices
January 01, 2023 - Preventive Medicine
Quality Measurement
Despite the evidence base for their role in reducing
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digital.ahrq.gov/ahrq-funded-projects/santa-cruz-county-diabetes-mellitus-registry
January 01, 2023 - registry, once it is up and running, will improve provider performance for the entire community, thereby reducing
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digital.ahrq.gov/ahrq-funded-projects/randomized-clinical-trial-smartphone-virtual-reality-pain-management-during
January 01, 2024 - A Randomized Clinical Trial of Smartphone Virtual Reality for Pain Management During Burn Care Transition
Project Description
Publications
The use of a virtual reality app has the potential to be a cost-effective way to alleviate pain, reduce the need for opioids, and imp…
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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…
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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…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
January 01, 2019 - the suburbs surrounding the Liberty satellite campus.6 Such distinctions suggest that approaches to
reducing … of cancellation may change over time, particularly if quality improvement projects are
effective in reducing … Reducing Cancelations on the Day of Scheduled Surgery at a Children's Hospital.
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digital.ahrq.gov/program-overview/research-stories/optimizing-care-delivery-for-clinicians
January 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-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…
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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…
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digital.ahrq.gov/sites/default/files/docs/survey/improving-sickle-cell-transitions-focus-group-moderator-guide-patients.pdf
June 16, 2021 - this burden estimate or any other
aspect of this collection of information, including suggestions for reducing
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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…
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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…
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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…
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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…
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digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015316-blair-final-report-2008.pdf
January 01, 2008 - Interventions
such as electronic prescribing hold promise for reducing the frequency of errors but research … clinical decision support significantly reduced
the rate of errors and is an important potential tool for reducing
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs022583-phillips-final-report-2018.pdf
January 01, 2018 - Purpose: TRADEMaRQ tested whether quality reporting could be a byproduct of clinical care,
and whether reducing … health systems
despite employing several strategies to help them understand the potential value for reducing