A driving force for health equity
Jon Puro - head shot.jpg

Jon Puro

Director of Research Informatics and Analytics, and Director of Data Governance

Jon Puro has been working in safety net research and reporting for more than 20 years. His primary expertise is the design, use and deployment of information systems for collecting and disseminating data and reports to consumers of health care information, specializing in database modeling and data warehouse architecture. Throughout his professional career, he has served as data analyst, database administrator, data architect and manager in several health care settings, including OCHIN; Multnomah County, Oregon; CareOregon; and Kaiser Permanente. He has worked on numerous studies involving the use of information technology and natural language processing for improving health care, including the NIH-funded Automating Assessment of Asthma Care Quality and Automating Assessment of Obesity Care Quality studies, as well as an AHRQ-funded grant titled Enhancing Clinical Effectiveness Research with Natural Language Process of EMR (CER-HUB). He has served as co-chair of the national Community HRSA-funded Health Applied Research Network (CHARN) Data Committee and the North American Primary Care Research Group (NAPCRG) HIT Committee, and is part of the NIH Collaboratory project. Jon also volunteers for the Global Health Research Foundation (GHRF), an institute dedicated to the betterment of global health through the use of information technology. For GHRF, Jon has traveled to and worked with the governments of Uganda and Bhutan to assist with various health care information technology needs and projects.


Long-Term Outcomes from Repeated Smoking Cessation Assistance in Routine Primary Care

Disparities in Smoking Cessation Assistance in US Primary Care Clinics

Smoking cessation assistance: Before and After Stage 1 Meaningful Use Implementation

Cardiovascular care guideline implementation in community health centers in Oregon: a mixed methods analysis of real-world barriers and challenges

Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory

Implications of ACC/AHA Cholesterol Guidelines on Statin Underutilization for Prevention of Cardiovascular Disease in Diabetes Mellitus among Several U.S. Networks of Community Health Centers

Assessing trends in tobacco cessation in diverse patient populations

Feasibility and impact of implementing a private care system’s diabetes quality improvement intervention in the safety net: a cluster-randomized trial

CER Hub: An Informatics Platform for Conducting Comparative Effectiveness Research Using Multi-Institutional, Heterogenous, Electronic Clinical Data

Health Information Technology Needs Help from Primary Care Researchers

MyPreventiveCare: Implementation and dissemination of an interactive preventive health record in three practice-based research networks serving disadvantaged patients—a randomized cluster trial.

Strategies and opportunities to STOP colon cancer in priority populations: Pragmatic pilot study design and outcomes

The ADVANCE network: accelerating data value across a national community health center network
Authors: Devoe, J. E., Gold, R., Cottrell, E., Bauer, V., Brickman, A., Puro, J., Nelson, C., Mayer, K., Sears, A., Burdick, T., Merrell, J., Matthews, P., Fields, S.

Documentation of the 5 As for Smoking Cessation by PCPs Across Distinct Health Systems

Using the CER Hub to ensure data quality in a multi-institution smoking cessation study

The Community Health Applied Research Network (CHARN) Data Warehouse: a Resource for Patient-Centered Outcomes Research and Quality Improvement in Underserved, Safety Net Populations

Electronic health record functionality needed to better support primary care

Receipt of Diabetes Preventive Care Among Safety Net Patients Associate with Differing Levels of Insurance Coverage

Automating Care Quality Measurement With Health Information Technology

Electronic Health Records vs Medicaid Claims: Completeness of Diabetes Preventive Care Data in Community Health Centers

Development of a Measure Set for Routine, Comprehensive, Automated Assessment of Obesity Care Quality

Automating Quality Measurement: a system for scalable, comprehensive, and routine care quality assessment