Quote for EMR-Integrated AI Clinical Summarization Platform

Prepared for Careon Health and Sheeva Rajaei, MD

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Solution Overview & Tech Stack

At SDR Productions, we tailor strategic solutions to elevate your business, enhance your brand, and empower your team for sustainable success.

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Phase 1: Cardiovascular Prototype (MVP)

Cardiology-focused MVP for user testing, prioritizing rapid development, synthetic data safety, and foundational compliance.

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Phase 2: Longitudinal Temporal Engine

Temporal reasoning engine to synthesize trends (e.g., EF decline) and prepare for early monetization.

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Phase 2.5: Clinical Maturation & Monetization

Refined cardiology workflows and pilot licensing for early adopters.

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people sitting down near table with assorted laptop computers

Phase 3: Multi-Specialty Expansion

NLP models for oncology, rheumatology, and one other practice area such as behavioral health.

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Phase 4: EMR Integration & Scale

Deployment of production-ready EMR integrations and ensured enterprise scalability.

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Closing Summary

Learn how this comprehensive, custom solution from SDR Productions ensures alignment with healthcare security standards and transforms clinical documentation as we know it.

Why SDR Productions?

Mike Dagnino, Aero Resources LLC, Chicago, IL

It's been a pleasure working with Scot on bringing challenging ideas to reality. He has provided us with excellent knowledge and craftsmanship with our IT wants and needs. He is very detailed and provides great communication with project management. I would not hesitate to recommend Scot to any business. He helped us get to launch by keeping the teams informed and on task.

Andrew Kinnear, St. Luke's Hospital, Minneapolis, MN

I had the pleasure of working with Scot when we were the main point persons during a large, wide-scale implementation. Being my first in my current position, I was thrilled to have Scot on my side! He was meticulous throughout the entire implementation, covering all bases, answering all questions (there were many!!), and keeping us on track to meet our deadlines.

Marie Celestin, Cook County Health System, Chicago, IL

Thanks so much Scot! It was such a great pleasure working with you on the hospital, behavioral health, and department of corrections procedural documentation compliance project. There were so many moving parts and sometimes it seemed we would never get everyone on the same page, but your persistence was appreciated, and we got it done together!

FAQs

Got Questions? Find Answers to Common Queries Below!

How does the platform ensure compliance with HIPAA and HITRUST?

The platform is built on Google Cloud Platform (GCP), which offers HIPAA-compliant infrastructure, including encrypted storage, audit trails, and role-based access controls. For HITRUST certification, we implement stringent security protocols (e.g., end-to-end encryption, automated vulnerability scanning) and partner with Redox for pre-validated EMR integrations. Redox’s HITRUST-certified middleware ensures data normalization and auditability across systems. Learn more about Redox compliance.

How authentic is the synthetic data used in Phase 1?

Gretel.ai generates synthetic data by replicating statistical patterns and correlations from real clinical notes while fully anonymizing PHI. Synthetic datasets retain critical medical trends (e.g., ejection fraction distributions, symptom clusters) with <2% deviation from real-world data. Clinicians in pilot tests could not distinguish synthetic from anonymized notes. Explore Gretel’s validation metrics.

Can the platform integrate with niche EMRs like TherapyNotes or Alleva?

Yes. Phase 4 includes integration with specialty-specific EMRs (e.g., TherapyNotes for behavioral health) via Redox’s pre-built connectors or custom FHIR/HL7v2 pipelines. For systems without native FHIR support, we use Mirth Connect to translate legacy formats into standardized schemas.

What happens if timelines slip due to unforeseen technical challenges?

We mitigate delays through:

Modular Design: Phases are decoupled, allowing parallel workstreams (e.g., UI development alongside NLP tuning).

Buffer Sprints: Each phase includes 2–3 weeks of contingency time.

Transparent Communication: 2x monthly demos and risk dashboards ensure early issue detection.

How will monetization work, and when can it begin?

Monetization starts in Phase 2.5 with pilot licensing:

Subscription Model: Tiered pricing ($500–$1,500/month) based on users or reports. The rates are suggestions and decisions on those rates are yours.

Tokenized Overage Fees: We recommend charging $2–$5 per summary beyond agreed-upon tier limits.

Early Adopters: Target 3–5 cardiology clinics for beta testing (6–8 weeks post-MVP).

What support is provided after launch?

The first 3 months of support after launch comes at no additional labor charge (technology requirements may result in required fees paid directly to vendors) and includes:

Technical Maintenance: 24/7 monitoring, bug fixes, and compliance updates.

Clinical Optimization: Two clinician feedback sessions to refine summaries.

Scalability Upgrades: Seamless scaling to additional specialties or EMRs (e.g., Oncology, Alleva). $0 labor; any charges by EMR, middleware, API, and other vendors will be communicated, and those invoices will be paid directly to the vendors.