2. Specific Aims Aim 1: Develop and deploy a standards-based ACTSI-wide federated system that will link inter and intra-institutional biomedical research databases collected, referenced, and managed by ACTSI institutions. Aim 2: Deploy and support a suite of common applications for management of clinical, omics, imaging, ECG, and tissue data and for integrative analysis of these datasets. Aim 3: Engage ACTSI investigators to maximize the impact of ACTSI investigator studies and proposals through coordinated use of bioinformatics, biostatistics, and informatics. Aim 4: Develop an enhanced training program to educate clinicians and researchers on the principles and best practices of biomedical informatics and train them on biomedical tools and infrastructures.
20. Expand and Sustain Integrated BIP Collaboration between Emory, Georgia Tech, and Morehouse School of Medicine Draw on the complementary strengths of partner organizations in computer science, biomedical informatics, bioinformatics, and translational research Strategy: Steering committee with CIN, BERD, and BIP leadership Architecture: Weekly working group to establish standards and pathways to integration Institution: Key leadership at Morehouse, Emory, and GA Tech. Integrated with Emory Informatics and Research IT Governance structures Infrastructure and Data: Shared and integrated systems and capacities. Research, laboratory and clinical data sources
21. Integrated BIP Architecture working group to design a common architecture Collaborative projects Security infrastructure Testing framework Bioinformatics support Registry implementation at Grady for quality improvement and cardiovascular research LIMS deployment for biospecimen management i2b2 deployment for clinical data Leverage institutional strengths for education and training Leverage over $3.8M in grant and internal funding this year
22. Aim 1: ACTSI-wide Federated Data Warehouse System Develop integrative, federated ACTSI information warehouse Integrated clinical/imaging/”omic”/biomarker/tissue information should always be available A virtually centralized, big Atlanta wide information warehouse that has all relevant data Patients seen and information gathered at any ACTSI site, specimens sent to any affiliated core, imaging carried out at any affiliated site Give me all gene expression, SNP, virtual slide images, hematology studies and CMV serologies for kidney transplant candidates accrued into Study X or Study Y between Feb 2011 and Jan 2012 who were on the kidney transplant waiting list as of November 1, 2010. Development efforts Security, Web Portal, Common Data Elements & Vocabularies, Identifiers, High-performance Computing middleware, Testing framework.
24. Aim 2: Deploy and Support a Suite of Common Applications A suite of interoperable repositories Clinical registries: Initially for cardiovascular disease, diabetes and co-morbidities. Data sources: Emory Healthcare Clinical Data Warehouse and the Grady Health System Diabetes Patient Tracking System. Image repositories: Radiology images, Pathology images, image markup and annotations Biospecimen repositories: Nautilus LIMS and caTissue Genomic data repositories: Gene expression datasets, microarray data, next generation sequencing data Continued support for existing systems CR-Assist, eBIRT: Extensions and integration with the ACTSI data warehouse infrastructure Deployment of software from other CTSAs i2b2, REDCap
27. Aim 3: Engage ACTSI investigators and research teams Goal: Maximize the impact of ACTSI investigator studies and proposals through coordinated use of bioinformatics, biostatistics, and informatics. Engagement being carried out via Studio program, coordinated effort between CIN, BERD, and BIP Interactions with investigators and research groups by the BIP, BERD, and CIN participants Contributions of Informatics support functions to investigator proposals
28. Aim 3: Engage ACTSI investigators and research teams Examples include: Metadata Analysis of Glycan Structures: Develop a custom-built system to help visualize, identify, and cluster glycan structures in order to help discover glycan structures Translational CardioVascular Research: Minority Health Grid and CardioVascular Research Grid: Develop new CV-related data management and analysis tools and resources Integrated Mobile Health Solution: Develop tools based on Microsoft Health Vaultto empower the diabetic patient, to manage his/her diabetes with the help of a physician and a health coach
29. Aim 4: Informatics Training Program Leverage existing expertise and programs at partner institutions Coordinate with RETCD Masters of Science in Clinical Research Establish an informatics academy for research and clinical leadership to learn key informatics principles, best practices, and tools Establish Biomedical Informatics PhD track in Computer Science and Informatics PhD Program Establish learning material based on national competencies and initiatives, such as the AMIA 10x10 Establish an Informatics certificate training program in clinical informatics Align with subspecialty board certification in informatics and Emory Department of Biomedical Informatics
eBIRT – Atlanta VAMC, Emory University, Morehouse School of Medicine, Georgia TechCR-Assist – Emory University Hospital, Emory University Midtown, Grady, CHOAEDC – Emory, GradyLIMS – Emory University Hospital, Emory University Midtown, Grady Hospital, (Soon to be: Morehouse, CHOA)
eBIRT – Atlanta VAMC, Emory University, Morehouse School of Medicine, Georgia TechCR-Assist – Emory University Hospital, Emory University Midtown, Grady, CHOAEDC – Emory, GradyLIMS – Emory University Hospital, Emory University Midtown, Grady Hospital, (Soon to be: Morehouse, CHOA)Data extraction services: Emory University Hospital, Emory University Midtown. Soon to include Grady and potentially HopeAIW – Emory University Hospital, Emory University Midtown, EUOHS, Emory ClinicData RegistryI2b2: Morehouse, Grady, Emory