Technical depth where healthcare is hardest.
Our capabilities sit at the intersection of three things that rarely live in the same team: healthcare domain knowledge, standards-level interoperability expertise and disciplined enterprise architecture. Each capability below is something we have designed, built, reviewed or governed in production healthcare environments.
Interoperability & health data exchange
Standards are not a checkbox. They are the design language that lets a system outlive the project that funded it.
FHIR & USCDI implementation
FHIR R4 resource modeling, profiling against US Core and USCDI data classes, implementation-guide conformance, and the operational realities of FHIR servers, terminology services and bulk data export. We design APIs that other organizations can actually consume.
Legacy integration standards
HL7 v2 messaging, C-CDA documents, X12 EDI transactions, DICOM and imaging workflows, and the integration engines that carry them. Most enterprises run on these for years to come; we design the bridges between them and modern APIs rather than pretending they will disappear.
Trusted exchange & network participation
Readiness assessment and onboarding architecture for nationwide trusted exchange, health information networks and state HIEs, including exchange-purpose governance, participant and sub-participant obligations, and the audit and monitoring controls that make trust real rather than asserted.
Payer interoperability & prior authorization APIs
Compliance architecture for the federal interoperability and prior authorization rules: Patient Access, Provider Access, Payer-to-Payer and Prior Authorization APIs, with the data-mapping, consent, attribution and operational metrics those programs require.
Patient- and caregiver-mediated exchange
Consumer-facing data access through claims and clinical APIs, verifiable health summaries using SMART Health Cards and Links, and application-ecosystem participation for the people and caregivers who need the data most.
Identity, consent & delegated access
The hardest interoperability question is not how to move the data. It is who is allowed to see it, on whose behalf and with what proof.
Identity assurance
Architecture for identity proofing and authentication at the assurance levels federal programs now expect, including integration patterns for credential service providers and the handling of identity tokens inside clinical and consumer applications.
Consent & proxy relationships
Modeling consent, personal representatives and caregiver relationships as first-class data, with the distinctions that matter legally and clinically: delegating access, sharing a record, and acting as a representative are different things and should be designed differently.
Audit-everything design
Disclosure logging as a product feature rather than a compliance afterthought. Every access and release recorded in a standard, queryable form so that privacy officers, auditors and the people whose data it is can all get the same answer.
Cloud, infrastructure & modernization
Right-sized, cloud-first and sequenced so the organization keeps operating while it changes.
Cloud migration strategy
Migration planning for clinical, administrative and research workloads, including the honest trade-off between lift-and-shift and refactor, dependency and licensing analysis for legacy platforms, and target-state designs in regulated cloud environments.
Legacy modernization & tech-debt reduction
Application portfolio assessment, technical-debt inventory and a prioritized remediation sequence tied to business value and risk, so modernization dollars go where they change outcomes.
API, microservices & platform architecture
API-first platform design with a stable core and well-defined extension points, so the same platform can serve multiple programs and populations without forking. Plugin-style data-source layers that let new sources drop in without core changes.
Infrastructure governance
Architecture review documentation, migration governance for identity and directory services, and the decision records that let a future team understand why the environment looks the way it does.
Data architecture & analytics
Data that can be trusted for care, for payment and for measurement.
Clinical data repositories & master data
Longitudinal patient record design, patient and provider identity matching, master data management for providers, locations and payers, and terminology strategy across code systems.
Value-based care data strategy
Attribution, risk stratification, quality measurement and gap closure built on a data architecture that can defend its numbers to a payer, an auditor or a board.
Operational insights
EHR-based dashboards and operational analytics that change daily behavior: scheduling, access, throughput, provider burden and follow-up adherence.
Survey, research & program data
Architecture for large-scale survey and research data platforms, including legacy data-collection tooling, sampling redesigns and migration to modern, governed environments.
Security, privacy & compliance
Compliance designed in, not bolted on.
Security architecture
Zero-trust network design for clinical and remote workforces, business-associate-aware vendor selection, encryption and key management patterns, and the controls mapping that connects architecture to attestations.
Regulatory analysis
Translating final rules, implementation guides and program requirements into architecture obligations with dates, owners and acceptance criteria.
Privacy-by-design
Stateless screening and navigation designs that avoid unnecessary data persistence, minimum-necessary data flows, and web and analytics practices that stay on the right side of health-data tracking guidance.
Enterprise architecture methods
Frameworks applied pragmatically. The method serves the decision, never the reverse.
Architecture development
TOGAF ADM–aligned engagements from vision through migration planning, with ArchiMate models where a picture settles an argument faster than a document.
Capability & value-stream mapping
Care-delivery value streams from enrollment through revenue capture, capability heat maps that show where the organization is weak relative to its strategy, and payment-model overlays that make the financial consequences visible.
Roadmapping & governance
Three-horizon roadmaps, technology opportunity portfolios, and governance and risk frameworks sized to the organization. Review-board intake and complexity classification that focus scarce reviewer attention where decisions are hardest.
Clinical workflow & EHR optimization
Workflow analysis with clinicians and care teams, EHR configuration and integration strategy, and the human-centered design discipline that keeps technology from adding to provider burden.
Need a specific capability, or not sure which one you need?
Describe the problem and we will map it to the capabilities that matter, and tell you which ones you can skip.