Rochester Epidemiology Project

Rochester Epidemiology Project
Name	Rochester Epidemiology Project
Established	1966
Founder	William W. Plummer; Stanley J. Watrous
Location	Rochester, Minnesota

Rochester Epidemiology Project is a longstanding population-based medical records linkage system centered in Rochester, Minnesota that enables longitudinal research across multiple clinical providers and institutions. Established in the mid-20th century, it links patient-level information from hospitals, clinics, and public health entities to support epidemiologic, clinical, and health services research with wide influence on United States medical practice. The Project has informed studies involving chronic disease, infectious disease, health outcomes, and health services, collaborating with academic centers, federal agencies, and professional societies.

History and Origins

The Project was initiated in the 1960s through collaboration among clinicians and researchers at Mayo Clinic and Olmsted Medical Center to address gaps identified by investigators associated with National Institutes of Health funding mechanisms and leaders from Centers for Disease Control and Prevention. Early contributors included clinicians linked to Garrison B. Wells-era public health initiatives and researchers influenced by methodological developments from Framingham Heart Study investigators and scholars trained at Johns Hopkins University and Harvard Medical School. The founders sought to create a linked records system to study incidence and prevalence across a stable population that encompassed patients served by institutions such as Saint Marys Hospital (Rochester, Minnesota) and community clinics affiliated with Olmsted County, Minnesota public agencies. Over subsequent decades, the Project incorporated electronic health record innovations emerging from collaborations with teams from National Library of Medicine informatics programs and health services groups tied to Agency for Healthcare Research and Quality.

Organizational Structure and Partners

The governance model involves academic leadership from Mayo Clinic and administrative partners including Olmsted Medical Center and local public health authorities in Olmsted County, Minnesota. Research oversight has engaged institutional review boards at Mayo Clinic Department of Epidemiology and collaborative investigators from institutions such as University of Minnesota, University of Washington, University of Wisconsin–Madison, and Cleveland Clinic. Funding and collaborative partnerships have included awards and projects with the National Institutes of Health, cooperative agreements with Centers for Disease Control and Prevention, and methodological partnerships with the Kaiser Permanente research divisions and the Collaborative Research Unit model used by consortia like PCORnet. Operational partners have included information services groups affiliated with Epic Systems Corporation implementations and regional laboratory networks tied to Mayo Clinic Laboratories.

Data Collection and Linkage Methods

Data capture integrates paper-based historical charts and modern electronic health records produced by systems adopted at institutions such as Mayo Clinic, Olmsted Medical Center, and regional hospitals including Rochester Methodist Hospital. Linkage methods utilize probabilistic and deterministic matching algorithms adapted from approaches developed by investigators at RAND Corporation and computational techniques taught at Massachusetts Institute of Technology and Carnegie Mellon University. The resource curates diagnostic codes using versions of the International Classification of Diseases coding systems, procedure coding schemes used in Centers for Medicare & Medicaid Services, laboratory result vocabularies harmonized with standards from Clinical Laboratory Improvement Amendments, and natural language processing methods inspired by projects at Stanford University and Columbia University. The Project maintains enriched longitudinal cohorts by reconciling enrollment and migration data with Olmsted County, Minnesota vital statistics and records from state agencies and regional insurance providers such as Blue Cross Blue Shield plans.

Research Contributions and Notable Studies

Investigators using the resource have produced landmark studies on incidence trends for conditions including myocardial infarction mirroring efforts from the Framingham Heart Study investigators, stroke incidence paralleling work associated with Greater Cincinnati/Northern Kentucky Stroke Study, diabetes epidemiology echoing collaborations with Centers for Disease Control and Prevention programs, autoimmune disease surveillance comparable to cohorts developed at National Institutes of Health centers, and dementia research that intersects with consortia like the Alzheimer’s Disease Research Centers. Notable contributions include population-based estimates of disease incidence and prevalence, studies of vaccine effectiveness relating to work from Food and Drug Administration and Advisory Committee on Immunization Practices concerns, pharmacoepidemiology projects aligned with regulatory science at Drug Enforcement Administration-informed policy analyses, and health services research linked to Affordable Care Act implementation questions. Collaborations have produced influential publications coauthored with researchers from Harvard School of Public Health, Yale School of Medicine, and University of California, San Francisco.

Privacy, Ethics, and Data Governance

Data stewardship adheres to human subjects protections overseen by institutional review boards at Mayo Clinic and partner institutions, drawing on ethical frameworks promoted by the Belmont Report and regulatory requirements under statutes such as those administered by Department of Health and Human Services. De-identification and data use agreements align with privacy practices recommended by Office for Civil Rights (OCR) and security guidance from National Institute of Standards and Technology. Governance structures include data access committees with representation from academic partners including University of Minnesota and community stakeholders from Olmsted County, Minnesota; policies reflect precedents from large consortia like PCORnet and federated models used by All of Us Research Program.

Impact on Public Health Policy and Practice

Findings derived from the resource have informed clinical guidelines produced by specialty societies such as the American Heart Association, American College of Rheumatology, and American Academy of Pediatrics, and operational practices at health systems including Mayo Clinic and regional hospital networks. The Project’s evidence has been cited in policy deliberations involving Centers for Medicare & Medicaid Services payment models, Advisory Committee on Immunization Practices recommendations, and regional public health planning at Olmsted County, Minnesota and Minnesota Department of Health. Its methodological innovations in record linkage and population surveillance have influenced subsequent initiatives undertaken by Kaiser Permanente, research networks coordinated by National Institutes of Health, and international epidemiologic collaborations tied to institutions like University of Oxford and Karolinska Institutet.

Category:Epidemiology Category:Medical databases Category:Mayo Clinic