Docstoc

C-Boyd_BCM_and_caBIG2010Nov3

Document Sample
C-Boyd_BCM_and_caBIG2010Nov3 Powered By Docstoc
					caBIG® Solutions in
 the Dan L. Duncan
     Cancer Center

                             Lauren Boyd
        Dept. of Medicine, Hematology/Oncology
                      Baylor College of Medicine


 Tissue Banks and Pathology Tools Face-to-Face


                              November 3, 2010
Our Mandates and Constraints

Our Mandate:
Provide informatics support, solutions & infrastructure to advance basic,
   translational and clinical research
Specific initiatives are defined by the Dan L. Duncan Cancer Center’s
   leadership



Our Constraints:
We can use caBIG® solutions if and only if we can demonstrate they
   represent the best solution to some part of the above mandate.
Data standards and data sharing are a low priority for our leadership.




                                                                            2
caBIG® Solutions at Baylor College of
Medicine
• C3PR

   • Clinical Trials Subject Registry for our Cancer Center



• Private caTissue Instance

   • Biospecimen Tracking for Population Sciences Biorepository
     (PSB)

   • Biospecimen Tracking for our Breast Center (LSSBC)



• Public caTissue Instance

   • Biospecimen Sharing in Collaboration with Other Prostate Cancer
     Researchers (PSBIN)                                               3
C3PR


• Cancer Center must track registrations to all clinical trials from partner

   hospitals and clinics across the Texas Medical Center

• Generate ad hoc Queries, custom reports, and standard NCI reports

• Manage associated protocols oversight data




                                                                               4
Private caTissue Instance

• Population Sciences Biorepository

   • Collects blood and serum for large patient populations

   • Captures demographic, lifestyle, other questionnaire data



• Breast Center

   • Collects fresh, frozen, and fixed tissues from breast cancer
     patients

   • Captures clinical annotations abstracted from patients’ medical
     charts

                                                                       6
Private caTissue Instance




                            7
Public caTissue Instance


• Prostate SPORE Biomedical Informatics Network (PSBIN) is the

  Daughter of the Inter-spore Prostate Biomarker Study (IPBS)

• PSBIN vs IPBS
   • Many fewer data elements
   • Many more samples
   • Completely public




                                                                 8
Lessons Learned – Data Migration

•   Data mapping is biggest effort; involve domain experts early and allow
    ample time for multiple iterations. It is the biggest effort because:
     • Data sources are a complex mixture of databases, files (structured and
       unstructured), file system
     • Source / target systems may use different terminology

•   Verify application scalability – don’t assume it was done
     • Reassess performance after large data migration

•   Take advantage of all resources
     • Annotated logical models
     • Technical documentation (if available)
     • KC / developers for bug tracking / debugging / feature requests



                                                                                9
Other Lessons Learned

•   Communication / buy-in at all levels is crucial (executive to end-user)

•   Never forget: We’re building the plane while we’re trying to fly it.
     • Stay flexible for opportunities and shifting priorities

•   No deployment is slam-dunk
     • Applications rarely deployed in exact configuration used by certify team
     • Include “fudge factor” – documentation = 2 hours; reality = 4 days

•   Successful deployment requires a multifunctional team
     • Minimum: system administrator, DBA, programmers




                                                                                  10
Acknowledgments

• Prostate SPOREs:
•   Too Many to List, See David Steffen’s PSBIN Talk


• Dan L. Duncan Cancer Center:
•   David Steffen, Jon Barney, Pam Mayfield
•   Population Sciences Biorepository: Michael Scheurer & his staff
•   Clinical Trials Support Unit: Martha Mims, Sarah McNees, Gali Dupay


• Lester and Sue Smith Breast Center:
•   Informatics: Yingying Sun, Jane Qu
•   Data Management: Carol Chenault, Jaya Kamath
•   Tumor Bank: Bryant McCue



                                                                          11

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:9
posted:12/23/2010
language:English
pages:10