Use this resource to review information, content, format, and structure of the HERO (Healthcare Worker Exposure Response & Outcomes) Research database and the relationship between its elements.
Data Resource
Daquery
The PaTH Clinical Research Network (CRN) Department of Bio-Medical Informatics team developed Daquery a tool used to deploy code, as well as to automate and archive network-wide Quality Assurance queries. The code is publicly available and may be useful to support other CRNs data processes.
PCORnet Common Data Model
The PCORnet Common Data Model, developed by the PCORnet community, standardizes millions of data points from the Network’s clinical information systems into a common format. As a result, users of PCORnet can ask the same question simultaneously to hundreds of disparate systems and receive a clear, reliable answer.
PaTH to Health Just-In-Time Data Analysis Training Part 2
The PaTH Clinical Research Network (CRN) developed this training to understand the importance of statistical tests in explaining study data, to become familiar with some statistical language, such as p values and null hypotheses and to be able to state some outcomes we are examining in the PaTH to Health Diabetes Study.
PaTH to Health Just-In-Time Data Analysis Training Part 1
The PaTH Clinical Research Network (CRN) designed this training explaining the benefits and limitations of observational studies, common data issues and how to manage them via the PaTH to Health Diabetes Study.
Clinic Staff as a Unique Stakeholder Group in Patient-Centered Outcomes Research
Research Action for Health Network (REACHnet) and LPHI discuss the role of clinic staff in patient-centered outcomes research. Through a project funded by the PCORI Eugene Washington Engagement Award, LPHI implemented pragmatic research studies that resulted in a training workbook to help clinic staff better understand the research process.
Speaker: Daniele Farrisi
Presented: March 19, 2019
Pilot Linkage Project Process and Results
PCORnet CMS Linkage Pilot Team has released a white paper to help others learn more about how to use Medicare claims data to support studies. The pilot team developed a process for using Medicare claims data to supplement PCORnet data in pragmatic clinical trials such as the ADAPTABLE study, which compares the effectiveness of different daily aspirin dosing for heart attack and stroke prevention. The project team describes the processes and data flows used successfully in the pilot, as well as lessons learned and recommendations.
PaTH: How EHR Data is Collected and Protected via a Chocolate-Making Analogy
The PaTH Clinical Research Network (CRN) developed this guide to explain how electronic health record (EHR) data is captured, protected, and utilized for research purposes via a chocolate-making analogy.
PaTH to Health: Diabetes, Chocolate Making & Data Extraction Video
This video on electronic health data utilizes the metaphor of making chocolate to clearly lay out how electronic health records can be used to anonymize data. It is a useful tool for clearly explaining EHRs and the privacy inherent in building a research network.
Measuring an Epidemic
Speakers John Muench, MD, MPH and Thuy Le, MPH, both of OCHIN discuss the liberalizing of chronic opioid prescribing in the 90s was soon followed by unforeseen harm to individuals and communities.
Muench and Le review the history of the rise in opioid addiction and overdose deaths, prior efforts to track pain medication prescriptions, and current efforts to organize the ADVANCE Clinical Research Network electronic health record data to more easily describe prescribing pattern changes that follow interventions at national, state, and clinic levels.