Active, not recruiting

oREgon medicaid policy, SOciaL serVices, and hEalth (RESOLVE)

Posted on by Jodi Snare

Page last updated February 4, 2026

Study Design: Other
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Caroline Fichtenberg and Danielle Hessler Jones
Institution: University of California, San Francisco
PCORnet® Network Partner: REACHnet
Funder: Federal (NIH)
Funding Date: 2024
Study Duration: 2024 – 2029
Participating PCORnet® Clinical Research Networks: ADVANCE, REACHnet
Therapeutic Area: Healthcare Delivery
Status: Active, not recruiting

Research Question(s):

Oregon implemented new Medicaid policies intended to increase referrals to connect patients endorsing specific social risks with local non-medical services.

  1. How do Oregon's new Medicaid policies impact rates of screening, referrals, and receipt of services for
    social needs?
  2. Do these policies decrease the difference in rates of screening, referrals, and receipt of services between various demographic groups?
  3. How do screening, referrals, and receipt of services for social needs impact chronic disease outcome and
    healthcare utilization? Is the impact different for various demographic groups?

AR² – Autism Replication, Validation, and Reproducibility Center

Posted on by Jodi Snare

Page last updated February 4, 2026

Study Design: Retrospective Observational Trial
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Judy Zhong
Institution: Weill Cornell Medicine
PCORnet® Network Partner: INSIGHT
Funder: NIH
Funding Date: 2025
Study Duration: 2025 – 2028
Participating PCORnet® Clinical Research Networks: ADVANCE, GPC, INSIGHT, PEDSnet, STAR
Therapeutic Area: Intellectual and Developmental Disabilities (IDDs); Data Science
Status: Active, not recruiting

Research Question(s):

The study focuses on making autism research more reliable and widely applicable. We are creating the Autism Replication, Validation, and Reproducibility (AR²) Center to ensure that findings from autism data science projects can be independently verified and reproduced by providing complete, transparent packages, including data, code, and documentation.

By using diverse datasets from across the U.S., we aim to confirm that research results hold true for different populations and settings. This effort will promote best practices, share resources openly, and help translate autism research into real-world clinical care and policy.

Advancing Public Health Use of Electronic Health Record Data

Posted on by Jodi Snare

Page last updated February 4, 2026

Study Design: Other, Data Science
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigators: Jason P. Block and Tom Carton
Institution: Other
Funder: CDC
Funding Date: 2024
Study Duration: 2024 – 2025
Participating PCORnet® Clinical Research Networks: ADVANCE, GPC, INSIGHT, OneFlorida+, PaTH, PEDSnet, REACHnet, STAR
Therapeutic Area: Infectious Disease
Condition: Other; Public health surveillance across COVID-19, influenza and select chronic diseases and other infectious diseases
Status: Active, not recruiting

Research Question(s):

How can we use nationally distributed healthcare data infrastructure to (1) improve the capacity of data and information systems to conduct monitoring and surveillance and (2) increase the capability to use data to inform public health decision-making and support evidence-based practices and policies?

Primary Publication(s):

Zhang, Y., Romieu-Hernandez, A., Boehmer, T.K. et al. Association between SARS-CoV-2 infection and select symptoms and conditions 31 to 150 days after testing among children and adults. BMC Infect Dis 24, 181 (2024). https://doi.org/10.1186/s12879-024-09076-8

Jackson SL, Lekiachvili A, Block JP, et al. Preventive Service Usage and New Chronic Disease Diagnoses: Using PCORnet Data to Identify Emerging Trends, United States, 2018-2022. Prev Chronic Dis. 2024 Jul 3;21:E49. doi: 10.5888/pcd21.230415

Ghildayal N, Nagavedu K, Wiltz JL, et al. Public Health Surveillance in Electronic Health Records: Lessons From PCORnet. Prev Chronic Dis. 2024 Jul 11;21:E51. doi: 10.5888/pcd21.230417

Equity in Treatment for Asthma Between Latinos and Whites

Posted on by Jodi Snare

Page last updated December 1, 2025

Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: John Heintzman
Institution: OCHIN
PCORnet® Network Partner: ADVANCE
Funder: NIH/NHLBI
Funding Date: 2025
Study Duration: 2025 – 2028
Participating PCORnet® Clinical Research Networks: ADVANCE, REACHnet
Therapeutic Area: Pulmonology
Status: Active, not recruiting

Research Question(s):

  1. How does the quality of asthma care - including timely diagnosis, assessment, immunization, medication prescription, and access to testing - vary when comparing Latino adults to non-Latino white adults?
  2. Among adults with asthma, how do Latino adults vary from non-Latino white adults in how they utilize primary asthma care in Community Health Centers?
  3. How do Latino and non-Latino white adults with asthma vary in how they utilize acute care, including clinic visits, emergency department visits, and inpatient hospitalization?
  4. Do different subgroups of Latino-Americans, such as Latinos of Mexican, Dominican, or Cuban heritage, utilize asthma care at different rates and receive care of differing quality?
  5. Relatively, do individual factors (e.g., income, preferred language, insurance coverage, and migrant status) or community-level factors (e.g., community poverty, education, and environmental factors) contribute more to a person's (focusing on Latinos, but including others as well) likelihood of receiving primary asthma care, utilizing acute care, or experiencing asthma-related death?

USDHub: Community Resource for Urinary Stone Disease Research

Posted on by Jodi Snare

Page last updated August 22, 2025

Study Design: Other, Real World Evidence
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Ryan Hsi
Institution: Vanderbilt University Medical Center
PCORnet® Network Partner: STAR
Funder: NIH
Funding Date: 2024
Study Duration: 2024 – 2029
Participating PCORnet® Clinical Research Networks: PEDSnet, STAR
Therapeutic Area: Nephrology
Status: Active, not recruiting

Research Question(s): Can a data resource be created to strengthen urinary stone disease research that will generate new knowledge that improves the health of all individuals with urinary stone disease?

A Clinical Trial Readiness Study of Patient Reported Outcome Measures in TTP (THINK-TTP)

Posted on by Jodi Snare

Page last updated April 14, 2026

Study Design: Prospective Observational Study
PCORnet Infrastructure: Single IRB, Patient partners or engagement
Principal Investigator: Toyosi Onwuemene and Theresa Coles
Institution: Duke University
PCORnet® Network Partner: STAR
Funder: Federal (NIH/NCATS)
Funding Date: 2024
Study Duration: 2024 – 2026
Participating PCORnet® Clinical Research Networks: GPC, STAR
Therapeutic Area: Rare Diseases
Status: Active, not recruiting

Research Question(s): Can we develop a consensus-based strategy that comprehensively measures TTP-associated cognitive function impacts from the patient perspective?

Transfer Learning NLP to Improve Adoption of Clinical Text in Multi-Site Studies

Posted on by Jodi Snare

Page last updated April 14, 2026

Study Design: Other, Data Science
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Yonghui Wu
Institution: University of Florida and University of Florida Health
PCORnet® Network Partner: OneFlorida+
Funder: Patient-Centered Outcomes Research Institute (PCORI); (Project webpage)
Funding Date: 2024
Study Duration: 2024 – 2027
Participating PCORnet® Clinical Research Networks: INSIGHT, OneFlorida+
Therapeutic Area: Data Science
Status: Active, not recruiting

Research Question(s): Can large language models - an advanced form of artificial intelligence (AI) - improve the generalizability of patient information extraction and clinical phenotyping across different healthcare systems?

Behavioral Economic and Staffing Strategies to Increase Adoption of the ABCDEF Bundle in the ICU (BEST-ICU)

Posted on by Jodi Snare

Page last updated November 12, 2025

ClinicalTrials.gov#: NCT06184945
Study Design: Intervention Trial
PCORnet Infrastructure: Common Data Model (CDM), Single IRB, Patient partners or engagement
Principal Investigator: Michele Balas
Institution: University of Nebraska Medical Center
PCORnet® Network Partner: GPC
Funder: NIH NHLBI & NINR
Funding Date: 2024
Study Duration: 2024 - 2028
Participating PCORnet® Clinical Research Networks: GPC, PaTH
Therapeutic Area: Healthcare Delivery
Status: Active, not recruiting

Research Question(s): What is the best way to encourage ICU clinicians to consistently and completely implement the ABCDEF Bundle in their care of mechanically ventilated patients?

Primary Publication(s):

Conte M, Schlaeger J, Marsolo K, et al. Computable phenotypes for research using real-world data: experiences from the NIH Pragmatic Trials Collaboratory. J Am Med Inform Assoc. In review.

Choosing Immune Suppression in Renal Transplantation by Efficacy and Morbidity (CISTEM2)

Posted on by Jodi Snare

Page last updated February 20, 2026

Study Design: Retrospective Observational Study
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Vikas Dharnidharka and David Axelrod
Institution: University of Missouri
PCORnet® Network Partner: GPC
Funder: NIH
Funding Date: 2024
Study Duration: 2024 - 2029
Participating PCORnet® Clinical Research Networks: GPC
Therapeutic Area: Nephrology
Status: Active, not recruiting

Research Question(s): 

  1. Can we identify optimal immunosuppression management strategies for kidney transplant patients leveraging real world data?

Test 2 Treat

Posted on by Jodi Snare

Page last updated April 14, 2026

Study Design: Intervention Trial
PCORnet Infrastructure: Common Data Model (CDM), Patient partners or engagement
Principal Investigator: Neha Pagidipati
Institution: Duke Clinical Research Institute
PCORnet® Network Partner: The Coordinating Center for PCORnet®
Funder: Amgen
Funding Date: 2023
Study Duration: 2023 – 2025
Participating PCORnet® Clinical Research Networks: GPC, PaTH, REACHnet, STAR
Therapeutic Area: Cardiovascular
Condition: Atherosclerotic Cardiovascular Disease (ASCVD)
Study Status: Active, not recruiting

Research Question(s): Can we improve the testing and treatment of high cholesterol in patients who have been hospitalized for a cardiac event by providing education to doctors and patients?