Dr. Blumberg serves as the real-world data and health economics and outcomes research expert within TriNetX. Read Bio
The AcademyHealth Health Information Technology Interest Group is hosting a webinar series on research networks and their relevance for the AcademyHealth community. In advance of the 2020 Annual Research Meeting, the series continued with a presentation on Dataworks from TriNetX.
Dataworks provides access to clinically deep and rich electronic medical record (EMR) data from TriNetX’s extensive network of health care organizations (HCOs), harmonized and ready to use on the TriNetX Research Platform or via download for use with any analytic tool and platform to answer the most difficult research questions. Dataworks closes a key data gap by providing access to near real-time EMR data to help researchers better understand the clinical and health care burden of patients as well as treatment patterns for both common and rare, complex diseases.
Leading this information webinar is Pamela B. Landsman-Blumberg, Dr.P.H., M.P.H., a leader in the field of real-world data and evidence strategy and Josh Hartman, M.P.H., a senior clinical analyst and scientist. They discussed the source and design of Dataworks, provide a peak at the depth of clinical information available via the TriNetX Research Platform, and showcase examples of successful research projects which have leveraged the both the platform and Dataworks to generate real-world evidence and insights.
At the conclusion of the session, participants will be able to:
- Understand the benefits and limitations of EMR data for outcomes research
- Understand how a federated EMR can help with the study of rare disease
- Understand how Dataworks’ clinical depth can provide unique insights into patient populations of interest
- Understand various use cases for of Dataworks including supplementation with chart review, identification of synthetic control arm trial cohorts, and how to follow patients prospectively in real-time
- Understand how researchers and students can gain access to Dataworks and the TriNetX Research Platform
With support from: