Section 1
Why Choose Us
Shared voices on why this matters.
The shortest path to understanding our commitment is to hear why this matters to us. This YouTube Short leads with the people behind the proposal and the patients whose care depends on getting this right.
Human stakes. Technical depth. One accountable team.
We combine healthcare data engineering, EHR integration, and product delivery discipline with a personal connection to the ADA's mission.
Recognize centers meeting Standards of Care via quarterly practice-level benchmarking, beginning Phase II.
Support clinicians with EMR-based decision support embedded inside their existing EHR workflow.
Build a secure, de-identified diabetes registry for population-health reporting and research.
Why one team matters: The CDS tool and registry share a data backbone, a phase rhythm, and a governance model. When the ADA finalizes each Data Dictionary tier, both components consume it together.
Six Feet Up and Atomic Object bring combined experience in HIPAA-governed cloud platforms, EHR integrations, and health data pipelines — the specific disciplines this program requires.
Section 2
Product Walkthrough
This walkthrough shows how the proposal becomes a usable product. We start with the registry: the research data asset, the data-quality and provenance controls that make it trustworthy, and the governance workflows that let ADA share data responsibly. Then we move into the CDS Tool: the point-of-care layer embedded in the EHR, where CQL measures become care gaps, alerts, worklists, and clinician feedback loops.
The story closes on the daily operating loop that ties the two halves together: OMOP data powers the registry, shared measure definitions compile to CQL for bedside decision support, care gaps drive clinician action, and the results flow back into center recognition scorecards aligned to the ADA Standards of Care.
The first half tours dashboards, pipelines, vocabulary mapping, quality scoring, provenance, research governance, cohorting, export, and secure analysis.
The second half moves into the clinician workflow: in-EHR alert cards, SMART patient detail, care-gap worklists, rules management, preferences, and analytics.
Research data and bedside care, closing the same loop, every day.
Section 3
How the Solution Maps to Appendix E
Appendix E lays out three Data Dictionary phases, a pilot beginning at Epic sites, and a longer arc toward national launch. We deliver against that in four phases: discovery, then three implementation phases aligned to the ADA's Phase I, II, and III labels.
One note on pilot site count: Appendix E's slides reference three pilot centers for EHR Tool testing, while the ADA's supplier Q&A answers specify two Epic sites for the pilot. We follow the Q&A as the more recent and authoritative source and scope the pilot to two sites.
Delivery Phase 1: Discovery
Four weeks, post-award
A focused four-week discovery period resolves the CDS deployment model, alert behavior, registry-to-CDS data contract, de-identification boundary, Phase I Data Dictionary mappings, and pilot-site integration specifics.
Delivery Phase 2: Foundation and Pilot
Appendix E Phase I · approximately months 1 to 6 post-discovery
This phase establishes the foundation and proves the path from EHR to clinician and from clinical data to registry. On the CDS side, we build the embedded SMART on FHIR application, Epic integration at the two pilot sites, and first rule sets covering the Phase I Standards.
On the registry side, we stand up the core cloud environment, build the ingestion pipeline, run the five-year historical backfill, and map the Phase I Data Dictionary to the common data model.
Delivery Phase 3: Expansion and Refinement
Appendix E Phase II · approximately months 7 to 8 post-discovery
Phase II extends the clinical scope and brings population-health reporting online. The CDS tool gains comorbidity rule sets while the registry begins producing de-identified aggregate benchmarking that supports recognition of centers meeting Standards of Care.
Delivery Phase 4: National Scale Begins
Appendix E Phase III · approximately months 9 to 12 post-discovery
Phase III completes the Data Dictionary with population-care Standards and incorporates the annual ADA Standards refresh through a coordinated registry schema migration and matched CDS rules update.
Expansion and National Launch
2027 through 2028 and beyond
The footprint grows toward roughly ten additional clinics with a second EMR through 2027, then toward national availability with multi-EHR support over several years. New centers come online through configuration, not per-site rebuilds.
A note on Appendix E's own labelsThe EHR-tool testing windows and the Data Dictionary phases overlap in the ADA's Gantt. We keep the ADA's labeling intact and plan the work to fit it.
Section 4
Timeline
Project delivering across Discovery and three phases, sequenced to Appendix E, with all Data Dictionary work complete by end of July 2027.
* Standard 12 carried from Appendix E slides; noted for ADA confirmation.