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A Partnership with Sites, Biopharmaceutical Firms, and Clinical Research Organizations

Direct Data Extraction and Exchange of Local Labs for Clinical Research Protocols: A Partnership with Sites, Biopharmaceutical Firms, and Clinical Research Organizations

Date: June 16
Time: 08:00 AM PDT | 11:00 AM EST | 17:00 CET | 21:30 IST

Manual transcription of site clinical trial data into sponsor Electronic Data Capture (EDC) systems is labor intensive and error prone. During this webinar, we will describe Direct Data Extraction (DDE) best practices identified by the Society for Clinical Data Management eSource Consortium that will enable other groups to implement DDE for their own clinical research efforts .

The primary objective of this webinar is to discuss the efficiency gains and return on investment for implementing DDE compared to traditional manual data entry methods . We'll discuss our experience and learnings from our proof of concept with two biopharmaceutical companies and another academic medical center. We'll present the return on investment for DDE versus manual data entry via the following productivity surrogate markers: data latency, queries, transcription errors, and monitoring activity.

WHAT YOU'LL LEARNĀ 

  1. Direct data extraction best practices for sites, biopharmaceutical firms, and CROs interested in implementing DDE;
  2. How DDE is still highly valuable versus HL7-FHIR methods of transfer;
  3. How to get DDE off the ground with your site or firm;
  4. How is DDE received by site staff, biopharmaceutical firms, and CROs.

WHO SHOULD ATTEND

This webinar is targeted at beginners wanting to learn more about DDE. It also applies to intermediate and advanced audiences with respoect to how DDE compares to HL7-FHIR and other eSource modalities.

ABOUT THE SPEAKER

Michael Buckley, MS, MBA
Enterprise Innovation Manager, Clinical Research Informatics and Technology Enterprise, Clinical Research Administration
Michael is the Manager of Enterprise Innovation in the Clinical Research Informatics and Technology Division of the Clinical Research Administration. Michael's focus is on technologically innovative projects to improve the efficiency of clinical trials conduct, refine processes to simplify clinical trials data acquisition, and reduce the time and effort required for the completion of all stages of clinical trials work ranging from aligning and consenting patients through data analysis.
Michael is also Past Co-Chair of SCDM's eSource Implementation Consortium.