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Pull EHR data into your study database 15x faster: How to use untapped, source patient data for more efficient clinical trials
Whether your clinical research is a site-based trial, decentralized clinical trial, virtual study, or a hybrid of these methodologies, one thing they all have in common is a plethora of untapped patient data. Listen to this podcast to learn how you can pull data from EHRs into your study database with one click. Even better - it’s cost effective, fast, and effortless. One site’s project director said, “The implementation was quick and easy in comparison to other implementations.” And another IT user said, “Our clinicians have access to summary displays melding research data from OpenClinica with records from the patient’s chart in a way that is not feasible for either system to do on its own.” Ready to make your life (and the life of your study team) easy? Listen now.

Learning Objectives:

In this podcast, you’ll learn:

  • How to pull patient data that already exists in your EHR into your study database for instant access to source data
  • The way to eliminate high-risk, manual data entry and transcription time for clinical research coordinators at your sites (from 60 minutes down to 5 minutes)
  • How to reduce monitoring costs without sacrificing quality
  • The keys to increasing site productivity and satisfaction

Speaker Biography

A graduate of Harvard University, Cal has served as Chief Executive Officer of OpenClinica since the company’s founding in 2006. During this time he has spearheaded the development of the OpenClinica software, which has become the world’s leading open source system for Electronic Data Capture (EDC) in clinical trials. Cal is an active member of CDISC’s Operational Data Model V2 feature team. He has keynoted, presented, and/or organized sessions at events including the DIA Annual Meeting, SCDM Annual Conference, Society for Clinical Trials, American Medical Informatics Association’s Annual Symposium, the Open Source Electronic Health Records Alliance (OSEHRA) and the tranSMART Annual Meeting.