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digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/final-report
January 01, 2023 - Synthesizing Lessons Learned Using Health Information Technology - Final Report
Citation
Nemeth L. Synthesizing Lessons Learned Using Health Information Technology - Final Report. (Prepared by the Medical University of South Carolina under Grant No. R03 HS018830). Rockville, MD: Agency for Healthcare …
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digital.ahrq.gov/dhr-20/ahrq-digital-healthcare-research-program-milestones-achievements
January 01, 2023 - We invite you to explore the detailed timeline below to learn more about the significant contributions
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digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/annual-summary/2012
January 01, 2012 - The team solicited feedback from an ophthalmologist to learn about the end-user’s experience with the
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digital.ahrq.gov/research-method/retrospective
January 01, 2025 - Retrospective
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report
Citation
Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treat…
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digital.ahrq.gov/program-overview/research-stories/machine-learning-improve-patient-triage-emergency-department
January 01, 2023 - Machine Learning to Improve Patient Triage in the Emergency Department
Theme:
Supporting Health Systems in Advancing Care Delivery
Subtheme:
Advancing Health Equity
The use of an emergency department triage tool informed by machine learning has the potential to improve predictions around…
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digital.ahrq.gov/ahrq-funded-projects/project-echo-extension-community-healthcare-outcomes/annual-summary/2008
January 01, 2008 - This particular form of case-based learning, called “learning loops,” allow community providers to learn
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digital.ahrq.gov/ahrq-funded-projects/enhancing-emr-based-real-time-sepsis-alert-system-performance-through-machine/final-report
January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report
Citation
Sherwin R. Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning - Final Report. (Prepared by Wayne State University under Grant No. R21 HS024750). Rock…
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digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-delivery-hpv-vaccine/annual-summary/2011
January 01, 2011 - Rand will complete the following education objectives: 1) learn health informatics theory and be able
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digital.ahrq.gov/ahrq-funded-projects/secure-messaging-pediatric-respiratory-medicine-setting/annual-summary/2009
January 01, 2009 - Interviews with patients and guardians who did use the secure messaging system were conducted to learn
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digital.ahrq.gov/sites/default/files/docs/activity/r21hs019792-li-annual-summary-2012.pdf
January 01, 2012 - The team solicited feedback from an
ophthalmologist to learn about the end-user’s experience with the
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digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/machine
January 01, 2023 - Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data.
Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 202…
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digital.ahrq.gov/principal-investigator/nemeth-lynne
January 01, 2023 - Nemeth, Lynne
Synthesizing Lessons Learned Using Health Information Technology - Final Report
Citation
Nemeth L. Synthesizing Lessons Learned Using Health Information Technology - Final Report. (Prepared by the Medical University of South Carolina under Grant No. R03 HS018830)…
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digital.ahrq.gov/sites/default/files/docs/page/CarayonSuccessStory.pdf
December 31, 2010 - They also conducted an environmental scan to learn what others were doing
with regards to health IT
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digital.ahrq.gov/ahrq-funded-projects/give-teens-vaccines-study/activity/give-teens-vaccines-study/annual-summary/2010
January 01, 2010 - project team conducted a pilot study involving interviews with 20 parent-clinician-adolescent triads, to learn
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digital.ahrq.gov/sites/default/files/docs/page/2006LeonhardtPagel_052411comp.pdf
June 01, 2006 - .”
– “Doctors need to learn how we think.
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digital.ahrq.gov/ahrq-funded-projects/past-initiatives/transforming-healthcare-quality-through-health-it/chicago-alliance-community
August 31, 2007 - You have to rethink things as you learn."
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digital.ahrq.gov/2018-year-review/research-spotlights/leveraging-health-it-test-solutions-are-replicable-scalable-and
January 01, 2018 - take advantage of the unique capacity of digital tools to allow clinicians and health care systems to learn
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digital.ahrq.gov/sites/default/files/docs/citation/HealthITHazardManagerFinalReport.pdf
May 01, 2012 - Data aggregation at multiple levels: enabling CDOs (and health IT vendors and
researchers) to learn … • IT production-support teams primarily learn about hazards from users, often when the
hazard has … • Patient Safety teams typically learn about the subset of hazards that contribute to
identifiable … • Prior to upgrading to a new product release, learn about hazards others have reported
with that … • Learn which other vendors’ products frequently contribute to hazards when paired with
their own
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digital.ahrq.gov/ahrq-funded-projects/medicaid-and-chip/case-study-developing-state-medicaid-health-it-plan-smhp
January 01, 2023 - Case Study: Developing a State Medicaid Health IT Plan (SMHP): Lessons Learned From Oklahoma Medicaid
Case Study Developing a State Medicaid Health IT Plan (SMHP): Lessons Learned From Oklahoma Medicaid Prepared for: Agency for Healthcare Research and Quality U.S.
Document
Case Study: Developi…
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digital.ahrq.gov/ahrq-funded-projects/geofencing-based-adaptive-messaging-system-support-patient-self-management-low
January 01, 2023 - Most felt it was easy to use and that others could learn to use it quickly.