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The CTSA Program Center for Data to Health (CD2H)


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Presented at the fall CTSA PIs meeting. We propose to create a national network for enabling digital health research, innovation, and continuous improvement. The goal is to use information science to impact the way that health care functions and the lives of those it serves!

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The CTSA Program Center for Data to Health (CD2H)

  1. 1. The CTSA Program Center for Data to Health (CD2H) Program Directors Site PIs CD2H * *
  2. 2. Building a Translational Bridge CD2H
  3. 3. How do we achieve this? CD2H We collectively have a remarkable opportunity to build upon the excellence of the CTSA Program to innovate, pilot, implement, and sustain new informatics technologies to improve human health
  4. 4. Idea-to-Implementation Pipeline CD2H
  5. 5. Each CTSA is a workbench CD2H 1: Harmonize the data ecosystem 2: Realize a software tool ecosystem 3: Synthesize a people ecosystem 4: Catalyze technical and cultural evolution
  6. 6. ✓Goldilocks solutions to data dissonance; development of Good Data Practice (GDP); promotion of software standards for interoperability ✓Apply standards to harmonize and integrate data ✓Improve navigation of the data sharing odyssey Aim 1: Harmonize the data ecosystem CD2H
  7. 7. ✓Assemble communities of practice ✓Compile software best practices and standards ✓Configure Synapse Platform for data sharing and provide training ✓Deploy CIELO: a software “storefront” ✓Verify & validate existing/emergent software Aim 2: Realize a software tool ecosystem CD2H
  8. 8. ✓Extend representation of expertise and services across the CTSA consortium ✓ Enable discovery of services/ data/tools/ people across the CTSA consortium Aim 3: Synthesize a people ecosystem CD2H
  9. 9. Demonstration disease areas: ✓Rare disease and eliminating the diagnostic odyssey ✓Improve the impact of clinical research across the lifespan Aim 4: Catalyze technical & cultural evolution CD2H
  10. 10. Thomas Markello Dong Chen Justin Y. Kwan Iren Horkayne-Szakaly Alan Morrison Olga Simakova Irina Maric Jay Lozier Andrew R. Cullinane Tatjana Kilo Lynn Meister Kourosh Pakzad Sanjay Chainani Roxanne Fischer Camilo Toro James G. White David Adams Cornelius Boerkoel William A. Gahl Cynthia J. Tifft Meral Gunay-Aygun Hans Goeble Karen Balbach Nadine Pfeifer Sandra Werner Christian Linden Melissa Haendel Peter Robinson Chris Mungall Sebastian Kohler Cindy Smith Nicole Vasilevsky Sandra Dolken Elizabeth Lee Amanda Links Will Bone Murat Sincan Damian Smedley Jules Jacobson Nicole Washington Elise Flynn Sebastian Kohler Orion Buske Marta Girdea Michael Brudno Jeremy Band Melissa Haendel David Adams David Draper Bailey Gallinger Joie Davis Nicole Vasilevsky Heather Trang Rena Godfrey Gretchen Golas Catherine Groden Michele Nehrebecky Ariane Soldatos Elise Valkanas, Colleen Wahl Lynne Wolfe Johannes Grosse Attila Braun David Varga-Szabo Niklas Beyersdorf Boris Schneider Lutz Zeitlmann Petra Hanke Patricia Schropp Silke Mühlstedt Carolin Zorn Michael Huber Carolin Schmittwolf Wolfgang Jagla Philipp Yu Thomas Kerkau Harald Schulze Michael Nehls Bernhard Nieswandt Clinicians/ care team Pathologists Ontologists Informaticians Curators Basic Research The translational workforce: It takes a village to solve disease
  11. 11. Synergistic Informatics Education CD2H Modular, dynamic training library Leveraging existing materials (BD2K, AMIA, ONC etc) Informatics & data science competencies Mapping across current competency efforts (AMIA, CTSAs, ISCB, AMSTAT, etc) Interdisciplinary collaboration, open science, & entrepreneurship Partnerships with CTSA Workforce Development, AMIA Informatics Educators and others Mentoring network Synergize w NIH, BD2K Data Science RoAD-Trip, AMIA Mentor Match etc. “Packaging” of Learning Modules into LMS Collaboration with N-lighten to get training modules into learning management systems (LMS) Module annotations Improve discovery/reuse coordinate BD2K erudite, others
  12. 12. Opportunities for CTSA Analytics & Data CD2H Optimize dissemination Dissemination and impact are inherently linked; build on best practices for a range of outputs Attribution Enable an attribution framework for a range of products & processes for the translational workforce Modular, dynamic evaluation library Support local hubs in data-driven CQI through improved data, best practices for analytics and data viz Accountability Facilitate innovative accountability through open project dashboards Peer review Enable consortium-wide peer review, (NITRO-Competitions) Collaborative Innovation Develop a model to support and grow CI across the CTSA Program
  13. 13. Continuing the Conversation ▪ Workgroups & collaborations ▪ Socio-technical communication environments ▪ Listservs, project email, and activities calendar ▪ We would love to come and visit your team! ▪ Interested in learning more? Please fill out the intake form ( or email us at CD2H @Data2Health
  14. 14. Thank you! We look forward to working with you and your teams. CTSA Program Center for Data to Health (CD2H) CD2H