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digital.ahrq.gov/principal-investigator/sherwin-robert
January 01, 2023 - Sherwin, Robert
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 Unive…
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digital.ahrq.gov/principal-investigator/abraham-joanna
January 01, 2024 - Abraham, Joanna
Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis.
Citation
Mehta D, Gonzalez XT, Huang G, Abraham J. Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis. Br J…
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digital.ahrq.gov/population/c-suite-officer
January 01, 2023 - C-Suite Officer
Comparing responses to COVID-19 across institutions: Conceptualization of an emergency response maturity model.
Citation
Senathirajah Y, Kaufman D, Borycki E, Kushniruk A, Cato K. Comparing Responses to COVID-19 Across Institutions: Conceptualization of an Emer…
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digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis
January 01, 2023 - Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis
Project Final Report ( PDF , 1.69 MB) Disclaimer
Disclaimer
The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily rep…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report.pdf
August 30, 2019 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report
Page 1
Using the electronic health record to identify children likely to suffer last-minute surgery
cancellation
Principal Investigator: J. “Nick” Pratap, MB Chir, MRCPCH, FRCA1
Team Membe…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024983-pratap-final-report-2019.pdf
January 01, 2019 - Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report
Using the electronic health record to identify children likely to suffer last-minute surgery
cancellation
Principal Investigator: J. “Nick” Pratap, MB Chir, MRCPCH, FRCA1
Team…
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digital.ahrq.gov/ahrq-funded-projects/past-initiatives/medicaid-and-chip/medicaid-and-chip-repository
January 01, 2023 - Visit the site to learn more about how this software can enable exchange for Medicaid and other state-level
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digital.ahrq.gov/events/national-web-conference-applying-advanced-analytics-clinical-care
January 01, 2021 - A National Web Conference on Applying Advanced Analytics in Clinical Care
Event Date
October 14, 2020 - 2:00pm–3:30pm EDT
Event Materials:
Presentation Slides ( PDF , 3.82 MB). (Persons using assistive technology may not be able to fully access information…
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digital.ahrq.gov/national-webinars/applying-advanced-analytics-clinical-care
January 01, 2023 - Applying Advanced Analytics in Clinical Care
Event Date:
October 14, 2020 | 2:00pm – 3:30pm ET
Event Materials:
Presentation Slides ( PDF , 3.82 MB). (Persons using assistive technology may not be able to fully access information in this presentation. For assistance, please …
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digital.ahrq.gov/location/usa-sc-charleston
January 01, 2023 - USA, SC, Charleston
Leveraging Health System Telehealth and Informatics Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning Health System Approach
Description
This research aims to examine a health system’s four telehealt…
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digital.ahrq.gov/sites/default/files/docs/citation/r01hs026214-toh-final-report-2022.pdf
January 01, 2022 - Improving Missing Data Analysis in Distributed Research Networks – Final Report
Improving Missing Data Analysis in Distributed Research Networks
Principal Investigator: Darren Toh
Team Members: Jenna Wong, …
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digital.ahrq.gov/health-care-theme/patient-safety
January 01, 2023 - Patient Safety
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 records of patie…
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digital.ahrq.gov/sites/default/files/docs/citation/cds-connect-year4-final-report-2020.pdf
January 01, 2020 - Listen, Learn, Informed Choice., to discuss the
importance of patient-centered CDS design and implementation … • Outreach: Engage with and learn from stakeholders about how to improve CDS
Connect, including meetings … Listen, Learn, Informed Choice. as part of a
CDS podcast series focused on patient-centered CDS design … Activities included providing informational meetings to those asking to learn
more about the contribution … Listen, Learn, Informed Choice. episode included
in the collection and worked with Mr. van Leeuwen to
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digital.ahrq.gov/research-method/cost-benefit
January 01, 2023 - Cost-Benefit/Cost-Effectiveness
Contribution of continuous virtual monitoring to hospital safety, quality, and value of care for COVID-19 patients.
Citation
Morrow C, Wheeler D, Dooley M, Warr E, Kruis R, King K, Harvey J, Simpson KN. Contribution of continuous virtual monitor…
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digital.ahrq.gov/sites/default/files/docs/citation/r01hs023785-lavallee-final-report-2021.pdf
January 01, 2021 - • Learn from citizen science culture and
methodology to recognize innovative ways
people leverage … patient-reported outcome measures in electronic
health records. https://sites.northwestern.edu/easipro/learn-more … Learn Health Syst. 2020
Apr 2;5(2):e10226. doi: 10.1002/lrh2.10226.
23. … designs and
5R01HS023785 Final Report ePROs Guidelines page 18
https://sites.northwestern.edu/easipro/learn-more … /patient-reported-outcomes/
https://sites.northwestern.edu/easipro/learn-more/patient-reported-outcomes
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digital.ahrq.gov/sites/default/files/docs/impact-pcc-slides-032317.pdf
March 23, 2017 - A National Web Conference on Effective Design and Use of Patient Portals and Their Impact on Patient-Centered Care - Slides
A National Web Conference
on Effective Design and Use of
Patient Portals and Their Impact on
Patient-Centered Care
Presented by:
Ruth Masterson Creber, Ph.D., M.Sc., RN
…
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digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
January 01, 2020 - Each type of feature captures different information about the data, while different algorithms
learn … A bidirectional LSTM (BI-LSTM) could not
learn the labels for the seven scarcest classes, but saw an … Scikit-learn: Machine
Learning in Python. Journal of Machine Learning Research. 2012;12.
23.
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digital.ahrq.gov/sites/default/files/docs/citation/r18hs025638-yazdany-final-report-2022.pdf
January 01, 2022 - Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project – Final Report
1
Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE-PRO)
Dissemination Project
Principal Investigator:
Jinoos Yazdany, MD, MPH
Co-investi…
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digital.ahrq.gov/medical-condition/bacterial-infection
January 01, 2023 - Bacterial Infection
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 U…
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digital.ahrq.gov/principal-investigator/berkowitz-alicia
January 01, 2023 - Berkowitz, Alicia
Applying Lessons Learned in Community Collaboration to Health Information Technology - 2010
Principal Investigator
Berkowitz, Alicia
Project Name
Applying Lessons Learned in Community Collaboration to Health IT
Applying L…