Industry · Healthcare
HIPAA-ready by design, explainable by default.
We build clinical, patient-engagement, and operational systems — HIPAA-ready and EHR/FHIR/HL7-integrated from day one, with explainable AI and audit-ready logs.
Compliance and explainability engineered in from the first commit — not patched before an audit.
Inside a HIPAA-ready security boundary
The problem
Why healthcare software is harder to ship than almost anything else.
A defect means a patient, an audit finding, or a breach. Healthcare software has to be HIPAA-compliant, interoperable across EHRs and labs, and explainable all at once — and most fails on one of the three.
Getting all three right, on a fixed timeline, is the job — and the reason so much clinical software either never ships or ships as a liability.
in the EHR per 30-minute visit, per a JAMA Network Open study of primary-care physicians. The administrative weight better software is built to lift.
What we build
What healthcare software development actually builds — and what each one delivers.
Not one product — a set of systems, each for a specific workflow. For each: what it does and the benefit it produces.
Clinical & care-team tools
Charting, decision support, order entry, and care coordination that fit how clinicians actually work.
Benefit — more time on care, audit trail intact.
Patient-engagement & access software
Scheduling, intake, reminders, secure messaging, and patient portals.
Benefit — fewer no-shows and less administrative friction.
Revenue-cycle & operational systems
Eligibility, prior-auth, coding support, claims, and billing.
Benefit — lower cost to collect and fewer denials.
EHR / FHIR / HL7 integration
Connects new applications to the EHRs, labs, pharmacies, and devices you already run.
Benefit — one source of truth, not duplicate data entry.
Document understanding & intake automation
Extracts and structures data from referrals, faxes, and intake packets, with a person verifying decisions.
Benefit — faster intake, less manual entry.
Application modernization for clinical systems
Re-platforms aging healthcare applications without taking the system offline.
Benefit — a maintainable, compliant system instead of a brittle legacy one.
The measured impact
What software does to healthcare's hardest costs.
Third-party research — not Silicon Prime's own client results or clinical-outcome claims.
Reduction in cost to collect
McKinsey estimates AI on the revenue cycle could deliver — the direct prize revenue-cycle software targets.
Saved by ambient AI documentation
across The Permanente Medical Group in about a year, over 2.5 million encounters.
Cut in US healthcare spending
some $200–360 billion a year — McKinsey estimates broader AI could reach.
Zero critical defects across four years — the rigor a clinical system requires.
In healthcare a defect is a patient, an audit finding, or a breach. The same quality gates, staged rollout, and continuous monitoring that held a 200+ location enterprise at twice-a-week releases with zero critical defects is the discipline a clinical or revenue-cycle system lives or dies on.
The scope
What our healthcare software development covers.
The scope that separates software that passes a security review from a liability.
Discovery & compliance-first design
We map the workflow, the data, and the regulatory surface before a line of code — with an honest "this shouldn't be software yet" when that's the answer.
Custom clinical, patient & operational builds
We build the application — clinical, patient-facing, or revenue-cycle — to fit your workflows, not a template.
HIPAA-ready security engineering
Encryption at rest and in transit, role-based access, complete audit logging, and documented data boundaries — built in from the first commit, so compliance is a property of the system, not a remediation project.
EHR, FHIR & HL7 integration
We connect your software to the EHRs, labs, pharmacies, and devices it must exchange data with — so data flows once, correctly, instead of being re-keyed.
Explainable AI with human-in-the-loop
Where AI is the right tool, outputs are grounded and explainable, with human-in-the-loop review on any clinical or financial decision.
Validation, deployment & long-term support
Before go-live, the system is tested against the failure cases that must never ship; after, it runs under a staged rollout with monitoring, and your team is trained to own it.
What you get — all assigned to you under full work-for-hire IP transfer
How it runs
Our delivery discipline, tuned for a regulated, safety-critical environment.
One accountable lead, fixed scope, no handoffs. Most engagements reach steady state in 4–8 weeks, full IP assignment signed at kickoff.
Assess
Scope the workflow, the data, the integrations, and the compliance surface.
Output: a ranked plan, success metrics & written requirements
Design
Architect security, access control, audit logging, and (where used) the explainability and human-review model up front.
Output: a HIPAA-ready architecture & a validation plan
Build
Develop in your own cloud tenant, inside your access controls, with integration and logging in place from the start.
Output: a working system behind your security boundary
Deploy & support
Validate against the must-never-ship failure cases, ship behind a staged rollout, monitor, and train your team to operate it.
Output: a production system with audit-ready logs
The track record
Can you trust us with a safety-critical system?
The honest version: the figures on this page are cited third-party research — we don't claim a healthcare outcome we haven't delivered. What we can show is the delivery discipline healthcare software lives or dies on.
For BJ's Restaurants, a 200+ location enterprise, we held twice-a-week releases with zero critical defects across four years — with quality gates, staged rollout, and continuous monitoring. The same rigor a clinical or revenue-cycle system requires.
Responsible AI is the founding charter, not a feature. Human-in-the-loop review and "show your reasoning" are how we build — which is exactly what a clinical setting demands. We don't put a black box over a clinical decision, and we'll tell you when AI isn't the right answer.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran, personally accountable for every engagement. When a workflow shouldn't be software yet, we'll tell you.
BJ's Restaurants
A 200+ location enterprise held at twice-a-week releases with zero critical defects across four years — quality gates, staged rollout, monitoring. The exact rigor a clinical or revenue-cycle system requires.
Explainable, human-in-the-loop
A Stanford-rooted Responsible AI lab since 2011. Grounded, explainable outputs with human review on any clinical or financial decision — no black box over a clinical call. The posture a regulated setting demands.
Why build your healthcare software with us.
Compliance and explainability are the design, not the cleanup. Architected from the first commit — retrofitting after a security review is how healthcare projects blow their budget.
Responsible AI is the founding charter. Human-in-the-loop review and "show your reasoning" aren't features we add — they're how we build.
Founder-led, one accountable lead. The person who scopes your system answers for it — and tells you plainly when something shouldn't be software yet.
Built to transfer. The system, integration layer, validation artifacts, and code are assigned to you, and your team is trained to run it.
Where this connects
Healthcare software rarely stands alone.
It rests on the same engineering we bring to neighboring work.
AI development services
Grounded, explainable models with human-in-the-loop review on any clinical or financial decision — never a black box.
AI development →Cybersecurity services
The encryption, access control, and audit logging that make HIPAA-readiness a property of the system, not a remediation project.
Cybersecurity →Application modernization
Re-platform aging clinical systems into maintainable, compliant software — without taking the system offline.
App modernization →Questions buyers ask before they build.
Do you build HIPAA-compliant software?+
Do you sign a BAA?+
How do you handle AI safety and explainability in a clinical setting?+
Can you integrate with our EHR / our existing systems?+
Who owns the software and the data when you're done?+
How fast can you deliver, and how is it priced?+
Why do so many healthcare software pilots stall before production, and how do you avoid it?+
We've been burned by a healthcare software vendor before. Why is this different?+
Thirty minutes · No pitch deck
Ready to scope a healthcare build that's compliant from day one?
Bring the workflow or the system — we'll tell you honestly what it takes to build it HIPAA-ready, how we'd handle the AI and integrations, and what it costs to run.