Data Infrastructure Engineering for Healthcare & Life Sciences
Patient data access added in after launch is how compliance audits get failed. We engineer classification, row-level security, and encryption into clinical, claims, and research data, plus the database performance and reliability underneath it.
Where Healthcare Data Infrastructure Actually Breaks
Most healthcare platforms we're brought into enforce PHI access with an if-statement in application code, one path checks the permission, and a database credential, a raw analytics query, or a script someone wrote at 2am bypasses it entirely. Nobody notices until a risk assessment or a BAA review asks for evidence the control was enforced.
The fix is moving the control down to the database itself, row-level security and column-level masking that apply no matter which application touches the table, with audit logging built to be the evidence an assessor actually asks for, not a policy document describing what should happen.
Research and clinical trial data pipelines carry a related but different risk. A dropped batch from one site, or a duplicate ingest, doesn't throw an error, it just quietly produces a dataset that doesn't reconcile when someone finally analyzes it.
We scope access control, database performance, and data reliability to the specific clinical, claims, or research systems carrying PHI or study data, not a generic healthcare compliance package.
Five Problems We See Repeatedly, and How We Handle Them
Real scenarios, not a checklist of generic capabilities.
PHI access is enforced by an if-statement in application code, and a database credential or a raw analytics query bypasses it completely.
We move the control down to the database with row-level security and column-level masking that apply no matter which application or script touches the table.
Data Governance & SecurityA clinical or claims database slows down once row-level security and encryption get added, and the team is told to choose between compliance and speed.
We tune the query plan and access architecture so the controls don't cost you the performance clinical workflows depend on.
Database EngineeringA multi-site clinical trial data pipeline drops a batch from one site silently, and nobody notices until the dataset doesn't reconcile at analysis time.
We build freshness, volume, and reconciliation monitoring on top of research and trial data pipelines, so a gap gets caught immediately, not at analysis time.
Data ReliabilityA claims or eligibility integration with a payer or EHR system breaks silently when the other side changes their API without notice.
We build and monitor the integration itself, so a silent schema or contract change surfaces as an alert, not a denied claim.
Custom API Development & IntegrationsBed, staffing, or supply planning still runs on a manual forecast, so a demand spike gets discovered the day it happens, not the week before.
We build a demand forecasting model off your admissions and utilization data, so capacity planning works from a forecast instead of a gut call.
Data AnalyticsTechnology We Work In
PostgreSQL and MySQL for clinical and claims data, Vault for encryption, Auth0 for access control, and Kubernetes for deployment.
We work hands-on with: PostgreSQL, MySQL, Vault, Auth0, Kubernetes.
What's Included, By Category
PHI & Access Control Engineering
- PHI discovery and classification across schema, including staging and analytics tables
- Row-level security and column-level masking enforced at the database
- Encryption, key management, and audit logging mapped to HIPAA technical safeguards
- Data retention and deletion pipelines for compliance scope
Clinical & Claims Database Performance
- Query optimization and tuning for EHR-adjacent, claims, and patient-facing systems
- Connection management and HA/failover for clinical-grade uptime
- Performance work that doesn't regress when access controls get added
- Cost optimization for healthcare cloud database infrastructure
Data Reliability & Integration
- Reliability monitoring for research, clinical trial, and multi-site data pipelines
- HL7/FHIR-adjacent data layer design for EHR integration traffic
- Payer, claims, and eligibility API integrations
- Pipeline reliability for studies and analytics that can't tolerate silent gaps
Market Segments Served
We work with healthcare and life sciences organizations where PHI access, database performance, or research data reliability is the actual risk.
- Healthtech products storing or processing PHI without a dedicated in-house security engineer
- Clinical and claims platforms integrating with EHR systems via HL7 or FHIR
- Life sciences and research teams running multi-site clinical trial data pipelines
- Healthcare companies ahead of a HIPAA risk assessment or BAA review
- Teams whose PHI access control lives only in application code, not the database
- Claims and eligibility systems integrating with payer APIs
Delivery Lifecycle
Discovery & Assessment
We discover and classify PHI across your schema, audit current access enforcement, and identify performance risk on your clinical or claims databases.
Architecture & Design
We design the row-level security, masking, and encryption architecture mapped to your HIPAA scope, and the performance fixes for your highest-risk databases.
Build & Integration
We implement the controls and performance work end to end, integrated with the clinical, claims, or research systems already in place.
Testing & Validation
We verify PHI access is actually blocked at the database, not just documented as blocked, before it counts toward your compliance posture.
Launch & Ongoing Coverage
We document runbooks and audit evidence, train your team, and stay on retainer through your next risk assessment or BAA review.
Why Healthcare Teams Work With Us
Depth Across the Whole Stack, Not Just One Layer
A compliance consultant writes the policy. A DBA tunes the database. We bring PHI access control, database performance, and reliability engineering as one team, so a control gap and a performance regression don't fall to two different vendors.
A Team, Not One Person's Calendar
A single in-house hire means business hours and one person's availability, with everything waiting when they're out. We bring a team behind every engagement, so a compliance deadline doesn't wait on someone's vacation.
Controls Verified, Not Just Documented
We test that PHI access is actually blocked at the database after we build it, not just written into a policy binder nobody's checked against a real query.
No Dependency by Design
Runbooks and audit evidence are part of the deliverable, so your team can produce what a risk assessment asks for without us in the room. If ongoing coverage is still the right call, we'll say why.
Related Services
Frequently Asked Questions
Find Out Where Your PHI Access Actually Breaks
We schedule a call to hear what's going on, then a second call to review your schema and tell you directly which gaps carry real audit risk.