Kapstone Systems designs, builds, and administers the infrastructure healthcare organizations run on — data lakes, patient identity resolution, FHIR interoperability, document intelligence, and custom software — using open-source and cloud-native tools wherever they outperform costly proprietary platforms.
This is the shape of the infrastructure underneath the pitch — EHRs, lab feeds, registries, and faxed paperwork resolve into one identity, one interoperability layer, and one data lake everything else reads from.
Cloud-native data lakes on Azure or AWS, built for scale, governance, and downstream analytics — without per-seat analytics platform licensing.
Open-source master patient index stacks (OpenCR, HAPI FHIR) that resolve duplicate and fragmented patient records across systems.
Integration pipelines and conversion engines connecting EHRs, registries, and research systems on open interoperability standards.
OCR and AI-driven extraction that turns lab reports and clinical paperwork into structured, usable data — built and owned, not rented per document.
Purpose-built applications for the workflows off-the-shelf platforms don't fit — built once, owned outright.
Practical AI applied to document processing, data quality, and operational automation inside compliant environments.
HIPAA and 21 CFR Part 11-aware systems administration across cloud and on-prem — the backbone tying everything together.
REDCap and related research platform administration — one specialty within a broader infrastructure practice.
Most healthcare IT vendors sell a license, then a renewal, then a "premium tier" you didn't know you'd need. Kapstone builds on proven open-source foundations wherever they can match or outperform proprietary platforms — cloud consumption pricing you can see and control, instead of an opaque annual quote.
| Component | Typical Proprietary Structure | Kapstone Open-Source Build |
|---|---|---|
| Document Intelligence / OCR | Per-document SaaS fees, often with per-seat platform costs layered on top | Azure Document Intelligence at published consumption rates — $1.50/1,000 pages (OCR) to $30/1,000 pages (custom extraction), no seat fees |
| Interface Engine (HL7v2/FHIR) | One-time engine license plus a separate licensed connection fee per interface | Custom pipeline on Azure Health Data Services or open engines — you own the pipeline, not a per-connection license |
| EMPI | Custom vendor quote, typically opaque until you're deep in procurement | Built on OpenCR / HAPI FHIR — self-hosted, no per-record licensing |
| Research Data Platform | Per-seat or per-project licensing that scales with your team, not your usage | Self-hosted deployment you fully own |
Document Intelligence figures are Microsoft's published Azure retail rates as of 2026. Interface engine and EMPI vendors generally don't publish pricing — we build the real comparison against an actual quote you've received, not a hypothetical one.
Open source keeps licensing costs down — cloud infrastructure is what makes the rest of the pitch (uptime, disaster recovery, compliance, and actually shipping on schedule) realistic without a server closet and an on-call rotation of one.
Scale up for a surveillance spike or a data migration, then scale back down — instead of buying hardware sized for the worst week of the year and running it idle the other fifty-one.
Multi-zone and multi-region replication is a configuration setting on Azure or AWS, not a second data center you have to build, staff, and keep in sync yourself.
Azure and AWS both carry HITRUST, SOC 2, ISO 27001, and HIPAA-eligible service designations out of the box — you're building on an already-audited foundation instead of proving your own data center from scratch.
The hyperscaler patches the physical hosts, the hypervisor, and most of the managed-service stack. Your team patches the application layer — a much smaller, much more defensible surface.
Provisioning a new environment is minutes with infrastructure-as-code, not a procurement cycle, a rack-and-stack appointment, and a six-week wait on hardware.
Document intelligence, managed FHIR services, and LLM endpoints are first-party cloud services now — building on-prem means re-implementing capability the cloud already gives you.
We map your current systems, data flows, and the real cost of what you're running today — including the licenses you may not be using fully.
A concrete architecture — data lake, EMPI, interoperability layer, or application — sized to your actual volume, not a vendor's tier structure.
Hands-on implementation, not slideware handed to a subcontractor. The person who designs it is the person who builds it.
Ongoing administration, monitoring, and compliance support — or a clean handoff with real documentation if you're bringing it in-house.
These aren't logos we paste on for trust — they're the actual frameworks we design infrastructure and administrative processes around, engagement by engagement.
Infrastructure built on Azure's compliance-certified cloud — ISO 27001, SOC 2 Type II, and HIPAA-eligible services.
Environments configured to HIPAA Security & Privacy Rule requirements, with a signed BAA on every engagement.
Security controls designed and administered in alignment with the HITRUST Common Security Framework.
Risk management practices aligned with the NIST Risk Management Framework and SP 800-53 control families.
Electronic records and signatures configured for FDA-regulated research environments.
Research data systems built to support ICH E6(R2) Good Clinical Practice requirements.
Kapstone Systems was founded on 25+ years of hands-on experience spanning web hosting and systems administration, DevOps and security engineering, and healthcare and public health informatics consulting. As engagements grow, we bring in specialized talent to fill skill gaps — every architecture we propose has already been built, patched, and kept alive under real regulatory and operational pressure, not just presented in a slide deck.
Whether it's a data lake that needs building, an EMPI that needs replacing, or a document pipeline eating your team's time — start with a real conversation, not a sales deck.