Engineering teams that understand clinical reality
Healthcare — Hospitals & Health Systems
What the compliance landscape actually demands.
Health systems operate under a regulatory architecture that most technology vendors have never read in full. HIPAA's Security Rule mandates technical safeguards at the infrastructure layer — access controls enforcing the minimum necessary standard, audit controls generating records sufficient for forensic review, transmission security encrypting PHI in motion and at rest. These are engineering requirements, not policy statements. A system that satisfies the documentation but fails to implement the safeguards is not HIPAA-compliant regardless of what the BAA says. The ONC information blocking rule adds a second compliance surface: covered entities that restrict access to EHI without a permitted exception are subject to civil monetary penalties that can reach $1M per information blocking practice. FHIR R4 interoperability mandates mean that every clinical system must expose standardized APIs — and every API endpoint that surfaces PHI is a new HIPAA scope boundary requiring documented controls. Epic and Cerner integration complexity compounds the challenge: HL7 v2 interfaces, FHIR adapters, and custom integration engines each represent distinct data flows requiring separate access control and audit documentation. At the AI layer, NIST AI RMF is emerging as the governance standard — requiring model documentation, bias testing, and ongoing monitoring that the vast majority of healthcare AI systems do not currently satisfy.
Every AI system touching patient data creates a HIPAA audit surface that most vendors don't map until it's too late.
Health systems operate under the most demanding regulatory environment in technology. Every system touching patient data must be HIPAA-compliant at the architecture level. The incumbents treat compliance as a Phase 3 conversation. By then, the architecture is locked and remediation costs 3x the original build.
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Start a ConversationWhere Incumbents Fall Short
The EHR duopoly — Epic at approximately 38% of US hospital beds, Oracle Health (Cerner) covering most of the remainder — shapes every integration decision a health system makes. Both platforms were architected before FHIR was a standard, before cloud-native infrastructure was viable for clinical workloads, and before AI-assisted care was a clinical reality. Every application that requires patient data must negotiate Epic's App Orchard or Cerner's code program, accept their API rate limits, and operate within their data governance framework. A single HL7 interface that exposes PHI to an analytics platform without explicit BAA coverage and access logging creates a HIPAA violation that compliance teams typically discover during their annual audit — not in real time. The vendors who built the healthcare IT market — Cognizant, Optum, Leidos — don't bear the regulatory consequences when their integrations fail. The health system does. Cognizant's 2020 ransomware attack cost the company $50–70M and disrupted care delivery across their client base. The Change Healthcare ransomware attack in 2024 disabled claims processing for thousands of providers and exposed over 100 million patient records — and the investigation continues to reveal that architecture decisions made years earlier created the blast radius.
How We Approach Hospitals & Health Systems
The Algorithm approaches health system engagements with compliance architecture as the first deliverable, not the last. Before any code is written, our engineers map the data flows, identify every PHI touchpoint, document the HIPAA technical safeguard implementation for each system boundary, and produce the architecture documentation that will satisfy the OCR audit if one occurs. Epic and Cerner integrations are designed from the interface layer with FHIR-native data exchange, SMART on FHIR authentication, and audit logging that captures every PHI access event with sufficient detail for forensic review. HITRUST CSF controls are mapped to infrastructure decisions — not retrofitted through a compliance questionnaire after the system is built. For health systems deploying AI-assisted clinical tools, we implement the NIST AI RMF documentation and monitoring requirements as part of the build — model cards, bias test results, performance monitoring pipelines, and the governance documentation that the compliance committee needs to approve production deployment. The result is a system that passes HIPAA audit on day one, satisfies information blocking requirements by design, and can demonstrate ONC certification readiness without an emergency remediation engagement.
What Success Looks Like
A successful engagement delivers a production system that passes HIPAA technical safeguard review before it processes its first patient record. Epic or Cerner integration is FHIR-native with audit logging that satisfies ONC information blocking documentation requirements. AI components have NIST AI RMF documentation packages ready for compliance committee review. The clinical staff can use the system without workarounds. The compliance team can document it without reconstructing access logs. The security team can verify every safeguard without a manual audit exercise. The health system owns the architecture and can maintain it without a vendor on retainer.
Duration: 8 - 16 weeks
Output: Production system + audit documentation
A regional health system replacing a failed EHR implementation typically engages at Tier I — 20 engineers, 12 weeks, production-ready.
What We Deploy in Hospitals & Health Systems
Healthcare — Hospitals & Health Systems Compliance Assessment
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Engineering Specifics — Healthcare
Audit-trail architecture that captures the named user, the resource accessed, the operation performed, and the workstation identity in a format HIPAA examiners directly accept — not a log file that requires translation for an external audit.
Access-control logic enforced at the data layer rather than the application layer — every read of a regulated record validates authorization against the live scope of the requesting principal, preventing the cross-scope exposure that has produced multiple OCR and FFIEC findings in Healthcare environments.
Encryption configured to the specific cipher-suite and key-management requirements HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 actually mandates, not the closest nominal default. Key rotation, key-access logging, and key-escrow architecture are designed at engagement intake, not after the first audit.
Incident-response architecture that satisfies the strictest notification timeline among HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11. Pre-staged runbooks, pre-drafted regulator-facing templates, and automated detection-to-paging pipelines make the published notification deadlines architecturally enforceable rather than procedurally aspirational.
Continuous compliance evidence generation rather than retroactive assembly — every change-control event, access-provisioning event, and configuration update produces structured records aligned to HIPAA on the day the event happens, queued for the next audit pack with no manual reconstruction.
Quarterly audit pack delivered to your compliance officer without a request — workforce roster, access events, change attribution, incident register, training-currency report, mapped to HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 in the format your audit program already uses.
What We Ship — Healthcare
A working production system in your tenancy, HIPAA-compliant from commit one, delivered on the named milestone date — not a discovery document, not a refactor backlog, not a phase-two scope-expansion request.
Compliance baseline documentation aligned to HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 for Healthcare — workforce attribution logs, data-flow diagrams, access-control inventory, encryption-key inventory, incident-response runbook — delivered as engagement artifacts, not assembled before the first audit.
IP and source-code transfer effective from day one — your engineering team owns the repository, the deployment pipeline, the infrastructure-as-code; we do not hold operational hostage and the cost model rewards us for delivery, not retention.
Knowledge transfer that survives the engagement — every operational decision documented in runbooks an on-call engineer can follow at 3 AM without paging us. The deliverable is autonomy, not dependency.
ALICE compliance enforcement integrated into your CI pipeline before engagement close — HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 anti-patterns are blocked before they merge, so the compliance posture does not drift between audit cycles.
Post-engagement retainer optionally available for the first six months — defined escalation path to the original engagement team for incidents or critical questions. Most clients do not need it, because the system is designed to be operated without us.
Common Findings We Remediate — Healthcare
Audit-trail gaps: log records that exist but cannot be joined back to a named user, a specific resource, and a timestamp from a synchronized source. Reconstructed under examination, the gaps show up as "we cannot determine who did this" — the finding regulators specifically write up under HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11.
Authorization-vs-authentication confusion: code paths that verify the requesting principal is logged in but do not verify the principal is authorized for the specific resource. The result is cross-scope data exposure that has produced OCR, FFIEC, and ICO settlements in Healthcare environments at scale.
Encryption configured to a nominal label rather than the specific cipher-suite, key-length, and key-management requirements HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 actually mandates. The audit finding is "encryption is implemented but not validated"; the architecture fix is to pin the implementation to a validated cryptographic module from engagement start.
Incident-response runbooks that exist as documents but have never been exercised against the specific notification timelines Healthcare obligations impose. The first real incident is the wrong time to discover the runbook references a tool no one configured or a contact who no longer works at the organization.
Vendor-management and BAA-equivalent gaps: third-party services that receive regulated data without the contractual basis that HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 requires. The pattern is usually accidental — a new SaaS integration added during a sprint without compliance review — and produces a finding under every modern regulatory framework.
Compliance evidence assembled retroactively before the audit cycle, then re-assembled before the next one — burning meaningful margin for engagement work that should be generated continuously by the deployment pipeline. The fix is once: instrument the systems to produce audit evidence as a byproduct of normal operations, not on demand.
Why The Algorithm — Healthcare
The Healthcare engineering market is crowded with generalist firms claiming sector competence and sector specialists with limited engineering depth. The combination — deep engineering capability and operational Healthcare compliance fluency — is rare, and that gap is where the most expensive vendor failures happen.
Our teams come through the Algonauts pipeline trained on HIPAA, HITRUST, SOC 2, FDA 21 CFR PART 11 before they touch a client codebase in Healthcare. The training is not optional and not certificate-only — engineers must demonstrate working competence on representative compliance scenarios before they are deployed. This is the reason our Healthcare clients do not see the "compliance was an afterthought" pattern that drives most remediation engagements.
Engagement pricing is fixed. The price you agree at engagement start is the price at delivery. Scope changes that materially expand the engagement are negotiated transparently as change orders; we do not bury scope creep in velocity reports or sprint backlogs. The economic model rewards us for delivering, not for billing — and that alignment is the foundation under everything else above.
Common Procurement Questions — Healthcare
How is this engagement different from staff augmentation?
Staff augmentation places named contractors against an hourly rate card; the client retains accountability for delivery, methodology, and code quality. Our engagements are fixed-price commitments against named milestones; we retain accountability for delivery and ship the system as a deliverable, not the engineers as a resource. The contractual posture, the team composition, and the economic incentives are different.
What happens if the engagement scope changes?
Material scope expansions are negotiated transparently as change orders against the original engagement. We do not bury scope creep in velocity reports or sprint backlogs. Minor clarifications and emergent design decisions are absorbed without change orders — the fixed-price commitment includes a reasonable allowance for in-scope adjustments that any real engineering project requires.
What does post-delivery support look like?
The deliverable is designed to be operated by your team without our continued involvement. Documentation, runbooks, and the ALICE compliance enforcement layer continue to enforce the standards after we leave. Optional retainer support is available for organizations that want a defined escalation path to the engagement team for the first six months; most clients do not need it.
How do you handle data access during the engagement?
Production data access for our engineers is mediated through the same compliance controls that govern your internal engineering team. Named workforce documentation, framework-specific training currency, background checks, and BAA or equivalent agreements are completed before access provisioning. Access events are logged with the engineer's named identity, not a shared service account.
What is the procurement path?
Most engagements begin with a 30-minute scoping conversation, followed by a written engagement proposal within five business days that specifies scope, milestones, fixed price, and named team members. Standard contracting cycles complete within two weeks of proposal acceptance. We are familiar with enterprise procurement gating (vendor onboarding, SOC 2 review, BAA execution, MSA negotiation) and we support these processes without billable consulting overhead.