Managed Care & Hospice
Pure Healthcare
Johns Hopkins ACG integration and a unified data warehouse so care managers can prioritize high-risk members first.
Healthcare & Managed Care
Healthcare is where we started. It is where we move the needle fastest.
If you lead a health plan, managed care organization (MCO), or clinical enterprise, technology should accelerate your mission, not hold it hostage. Yet too often, care managers are toggling between five disconnected screens, member risk data is trapped in silos, and contractual reporting takes days of manual spreadsheet work.
We have spent over a decade solving the hardest data, workflow, and integration bottlenecks in healthcare. You do not need to be a technologist to work with us. You bring the operational and clinical priorities, and our dedicated Pods deliver working, compliant solutions in your environment every week.
Built for the realities of managed care and clinical operations.
Behind every healthcare technology challenge is an operational outcome that matters: helping care managers reach the highest-risk members first, automating a 72-hour quarterly benefits report down to under 5 hours, or giving clinicians their time back.
Most vendors tell you the only way forward is a multi-year, multi-million-dollar rip-and-replace. We take a more pragmatic path. When your core platforms still hold value, we build unified workflow layers over your existing systems and connect the data underneath. Your care and operations teams get a single, clear view in weeks without disrupting daily business.
FHIR interoperability in weeks, not years.
Traditional healthcare integration bogs down in months of manual field mapping and expensive interoperability consulting. Our team includes HL7 FHIR-certified engineers at multiple certification levels who combine deep clinical and claims data knowledge with practical AI.
We build FHIR-native applications, bridge legacy non-FHIR platforms with modern APIs, and use AI to dynamically map messy healthcare data into compliant FHIR resources. Whether we are integrating Johns Hopkins ACG risk scores into a care management data warehouse or connecting hospital electronic health record (EHR) systems so a quality committee can track trends over time, we make fragmented systems work as one.
Our own product, DocSimplify, is built entirely on the FHIR standard and conversational AI. What used to take specialized consultants weeks of manual configuration and mapping now happens in plain English, validated by automated testing agents and deployed with confidence.
How we have moved the needle in healthcare.
From prioritizing high-risk managed care members to automating multi-system benefits reporting, leaders bring us in when the operational stakes are high and progress cannot wait.
Healthcare Benefits
Healthcare Data Platform
Microsoft Fabric data platform for a healthcare benefits company, unifying six systems and cutting a 72-hour quarterly report to under 5 hours.
Healthcare Technology
Medical Documentation AI
Validation framework and AI transcription pipeline for medical documentation, now drafting reports in production for physician review and sign-off.
Healthcare
Anesthesiology Service Network
Adverse-event quality tracking integrated with hospital EHR systems, giving the quality committee clear trends and root-cause feedback.
Healthcare / Care Management
CareStar
One of our earliest turnarounds: rescuing a state care management system and bringing it back to its original specifications.
The impact was long-lasting. It wasn't just “now we have this data integrated.” It was a robust system where the cost of ownership was well managed.
Practical AI that clinicians and operations leaders can trust.
Healthcare leaders are right to be skeptical of AI hype. Flashy demos are useless if they hallucinate clinical data, create compliance exposure, or add more clicks to a clinician's day. We treat AI as a practical workhorse to remove administrative drudgery and compress weeks of manual effort into hours.
We start by organizing and governing your data. Then we apply the right intelligence for the job: classical machine learning that increased healthcare lab throughput by over 300%, natural language FHIR configuration, or physician-in-the-loop clinical documentation running safely in production.
Before we bring any autonomous AI pattern into a client environment, we stress-test it inside our own internal operations to catch edge cases and enforce strict guardrails. We also design AI so protected health information (PHI) stays out of the model's context wherever possible (we've published our approach), so your team gets measurable ROI without gambling on compliance.
There's a clear drive within the organization to advance the use of AI to deliver customer value with speed, quality, and effectiveness. There's real thought leadership in how they're using AI. They're at or near the leading edge of what companies are doing with it.
Clinical-grade governance from day one.
We operate inside HIPAA and GDPR environments and build applications that meet the controls expected under HITRUST criteria, including strict audit logging, separation of duties, and role-based data access controls.
We never treat compliance as a checkbox at the end of a project. Security, auditability, and privacy are architectural decisions we make from day one. Our Pods work directly alongside your compliance officers, security teams, and third-party auditors so every weekly release is traceable, documented, and ready for scrutiny. We provide architecture documentation, data flow diagrams, and security control documentation as needed.
What healthcare leaders ask us
How do you modernize workflows without disrupting our current EHR or core platforms?
We avoid painful rip-and-replace overhauls whenever your existing platforms still hold value. Using HL7 FHIR, modern APIs, and unified interfaces over your current applications, we connect claims, clinical, and risk data so your staff can work from one clean view without operational downtime.
How much of our internal team’s time does your weekly delivery model require?
Very little of your IT team’s time. We ask for a focused weekly touchpoint with an empowered business or clinical operations leader. Each Pod has a dedicated delivery lead, so you never manage tasks or engineers. Most teams are using a working first version within the first two weeks. From there, you steer the business priorities and review working results in your environment every week, and we handle the execution.
How do you protect patient data (PHI) when using AI?
Our recommended approach keeps protected health information (PHI) out of the AI model’s context wherever possible, using tokenization layers and secure code execution patterns. We’ve published our thinking on this approach on our blog. Our clinical and operational AI work includes validation frameworks, quality telemetry, and human-in-the-loop guardrails.
Are you HIPAA compliant, and do you work to HITRUST controls?
Yes. Digital2DNA is HIPAA compliant, with deep experience building to both HIPAA and HITRUST requirements. In most engagements your protected health information (PHI) never leaves your systems: we work inside your environment and sign a Business Associate Agreement (BAA) where required. When a solution includes our DocSimplify platform, we walk you through exactly how PHI is handled. We are not HITRUST certified ourselves, but we build to HITRUST controls and support your certification and audit work.
Can you integrate with both FHIR and non-FHIR legacy systems?
Yes. Our team includes multi-level HL7 FHIR-certified engineers. We connect modern FHIR-compliant EHRs as well as older legacy platforms using APIs, direct database integrations, file-based transfers, and AI-assisted FHIR mapping.
Let's talk about where you need to move the needle.
No high-pressure pitch decks. No discovery phases that take longer than the build. Just a candid conversation about your operational goals and how quickly we can show you working results.