Supporting Clinical and Translational Research with Informatics

Transcription

1 Supporting Clinical and Translational Research with Informatics Thomas R. Campion, Jr., Ph.D. Assistant Professor of Healthcare Policy and Research Assistant Professor of Healthcare Policy and Research in Pediatrics Associate Director, Research Informatics Information Technologies & Services Weill Cornell Medical College Analytics in Healthcare ASQ Long Island Hofstra University Symposium 11/05/2015

2 2 Overvi ew Introduction Research Computing at Weill Cornell Problem Architecture for Research Computing in Early accomplishments Discussion

3 Introduction: Research Computing at Weill Cornell 3 Conduct Administration Scientific Computing Research Informatics Research Administrative Computing Information Technology Infrastructure

4 4 Introducti on: Probl em Obtaining electronic health record () data for clinical and translational research is difficult Repurpose transactions for research Use one or more tools Understand strengths and limitations Obtain approval Optimal approaches are unknown Research Informatics can help investigators Obtain data Collect novel measures Integrate data

5 5 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories integrated with Interventions Consent WCMC-NYP-CUMC Sharing Ancillary Omics Secure Analysis Website: Integration Clinical Translation Scientific Computing Compliance & Planning

6 6 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories integrated with Integration

7 7 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories integrated with Integration

8 8

9 9 integrated with Dynamic Pull (DDP) Plus

10 10 integrated with

11 11 Architecture for Research Computing in Collegewide Cohort Discovery integrated with Contains data for 2.3 million patients Demographics Encounters Diagnoses Procedures Medications Vital signs Refreshed monthly De-identified

12 12 Architecture for Research Computing in Collegewide Cohort Discovery integrated with CTMS Other De-identified Contains data for 2.3 million patients Demographics Encounters Diagnoses Procedures Medications Vital signs Refreshed monthly Adding new sources and data types

13 13 Multiinstitutional Sharing Collegewide Cohort Discovery based

14 14 Multiinstitutional Sharing Collegewide Cohort Discovery based

15 15 Multiinstitutional Sharing Collegewide Cohort Discovery based

16 16 Multiinstitutional Sharing Collegewide Cohort Discovery based

17 17 Multiinstitutional Sharing Collegewide Cohort Discovery based Other

18 18 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based

19 Disparate Sources 19 Other

20 Disparate Sources 20 Centralized Integration Aggregate Transform Other

21 Disparate Sources Research Repositories (RDRs) 21 Centralized Integration Anesthesiology Aggregate Transform

22 Disparate Sources Research Repositories (RDRs) 22 Centralized Integration Aggregate Transform Center for Advanced Digestive Care

23 Disparate Sources Research Repositories (RDRs) 23 Centralized Integration Aggregate Transform Other Myeloid Malignancies

24 24 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based Integration

25 25 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based Model Integration Grumbach K, Lucey CR, Johnston SC. JAMA Mar 19;311(11):

26 26 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based Interventions Model Integration Clinical Translation Grumbach K, Lucey CR, Johnston SC. JAMA Mar 19;311(11):

27 27 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based Interventions Model Integration Clinical Translation Grumbach K, Lucey CR, Johnston SC. JAMA Mar 19;311(11):

28 28 Multiinstitutional Sharing Collegewide Cohort Discovery Research Repositories based Interventions Consent WCMC-NYP-CUMC Sharing Ancillary Omics Secure Analysis Website: Integration Clinical Translation Scientific Computing Compliance & Planning

29 29 Early Accomplishments: ARCH Program Discovery Hypothesis generation Patient counts Collection of novel measures Annotation of existing data Analysis Custom Research Repository Hypothesis testing sharing

30 30 Early Accomplishments: ARCH Program Enabled investigator-initiated pharmaceutical contract with large -based data set Facilitated trial recruitment using patients identified with i2b2 Provided data to citywide database for 2.3 million patients Leveraged suite of tools for various data initiatives data capture: 11 -based electronic data capture: 4 reporting: 11 Research data repositories: 3

31 31 Discussion Research Informatics can help investigators Obtain data Collect novel research data Integrate data ARCH matches investigators with right tools and services with respect to Study design sources Cost

32 32 Acknow l edgements Funding Clinical and Translational Science Center (UL1 TR ) Joint Clinical Trials Office ARCH Leadership ITS Research Informatics Marcos Davila Steven Flores Deidre Phillips Jacob Weiser Curtis Cole, MD Stephen Johnson, PhD John Leonard, MD Vinay Varughese

33 33 Questi ons Tom Campion