Electronic Research Consent Capture
Full Citation
Permanent Link: http://ufdc.ufl.edu/IR00001563/00001
 Material Information
Title: Electronic Research Consent Capture
Physical Description: Conference Poster
Creator: Philip B Chase
Amanda Elsey
Xiuyao Song
Fancesca Levey
Christoper B Barnes
Michael Conlon
Felix Liu
Publisher: University of Florida
Place of Publication: Gainesville, Florida
Publication Date: March 11, 2013
Acquisition: Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Michael Conlon.
 Record Information
Source Institution: University of Florida Institutional Repository
Holding Location: University of Florida
Rights Management: All rights reserved by the submitter.
System ID: IR00001563:00001


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Completed Consent Record Electronic Research Consent Capture Background Piloted with the Personalized Medicine Program at the University of Florida, research consents are captured electronically at the point of care to improve the quality of consent data and make it more accessible to processes that need timely and accurate consent data. This is achieved by real-time integration with the clinical systems and subsequent data flow to a research data warehouse. Introduction The Personalized Medicine Project at the University of Florida introduced inexpensive, rapid genetic testing to determine if patients receiving cardiac catheterizations are good candidates for clopidogrel The PMP project team selected a large assay of genetic tests of interest to researchers to exploit the unused capacity of the testing process. These tests are performed with the clinical tests and stored for research and potential clinical use if the patient consents to the research project. Data collection and use for the research component requires explicit consent from patients. We have implemented the Research Permissions Management System (RPMS) designed and written by the Medical University of South Carolina (MUSC). 1 Implementation Using a mobile device, patients can review the consent documents and decide to have their additional genetic data included or excluded in research studies. Answers to consent questions and signature are collected and stored electronically into the consent database. Patient identifiers, such as MRN, name, and date of birth, are verified via a lookup against real-time patient ADT data. Patient identifiers are used within RPMS to assure the consent data can be reliably, and automatically joined with the lab data to determine if the nonclinical portion of the genetic assay should be preserved for research use and forwarded to the Integrated Data Repository. Discussion Compared with a paper-based consent process, an electronic consent process provides benefits in both data accuracy and accessibility since data quality checks can be made in real time in an electronic system while the subject candidate is available to review the feedback and respond to errors. Another benefit is that patients will always be consenting to the most current version of the consent form. Of the patients contacted, 91% have agreed to participate in the study. 95% of study participants have been consented through RPMS. The study consents 59 participants per month. Future Work The UF pilot used the first version of RPMS. UF is reviewing the value of RPMS Version 2 as an institutional service. References 1 Obeid J, Gerken K, Madathil K, Rugg D, Alstad C, Fryar K, Alexander R, Gramopadhye A, Moskowitz J, Sanderson I. Development of an Electronic Research Permissions Management System to Enhance Informed Consents and Capture Research Authorizations Data. Accepted for 2013 AMIA Summit on Clinical Research Informatics March 20-22, 2013. Philip B Chase, BS 1 Amanda Elsey MHA 1 Xiuyao Song, PhD 2 Francesca Levey MBA 3 Christopher P. Barnes 1 Michael Conlon, PhD 1 Felix Liu, PhD 1 1 Clinical and Translational Science Institute; 2 Enterprise Software Engineering; 3 University of Michigan, Ann Arbor, MI, U.S.A. University of Florida, Gainesville, Florida This work supported in part by the NIH/NCRR Clinical and Translational Science Awards to the University of Florida UL1 RR029890, KL2 RR029888 and TL1 RR029889. Lab Genetic Data Store Research DB (IDR) Study DB ( REDCap ) Verify Clinical Identifiers Collect data and sign electronically Cohort Discovery Records preserved for future clinical use Study reporting Subject recontact Consent questions Consent responses MRN Demographic data Request for new consents New consent responses Consent consumers 0 50 100 150 200 250 300 Total Participants Consented Total Patients Declining to Participate 91% 9% Electronic Consent Summary Consented Declined