Case Study — CareAxis
Automating HIPAA, HITECH, and Joint Commission Compliance for a 200-Bed Hospital
Continuous compliance monitoring replacing 6 departmental silos
Industry
Healthcare — Acute Care Hospital
Timeline
16 weeks
Team
6 engineers
Tech
React + PostgreSQL + AWS
The Challenge
A 200-bed acute care hospital was preparing for Joint Commission re-accreditation while simultaneously managing an active HIPAA audit. Compliance tracking was fragmented across 6 departments using a mix of spreadsheets and Word documents. The compliance team had no unified visibility, and evidence collection for the HIPAA audit took 6 weeks.
Our Approach
How We Solved It
Compliance Control Inventory
Mapped all HIPAA, HITECH, CMS Conditions of Participation, and Joint Commission standards into a structured control library of 847 controls with owners, frequencies, and evidence requirements.
Automated Evidence Collection
Built 140 automated evidence collectors that pull audit trails, access logs, policy documents, and training records from connected systems on schedule — eliminating manual evidence gathering.
Control Testing Workflow
Department compliance owners receive automated monthly testing assignments with pre-populated evidence from the connected systems, reducing manual compliance work by 78% per department.
Real-Time Compliance Posture Dashboard
Compliance leadership has a real-time dashboard showing overall compliance posture, approaching due dates, failed controls, and remediation status by standard, department, and risk level.
Engineering Process
How We Built It
Control Framework Data Model
Designed a flexible data model supporting multiple compliance frameworks simultaneously (HIPAA, HITECH, Joint Commission, SOC 2) with control mappings to identify overlapping requirements.
Evidence Connector Architecture
Built a pluggable evidence connector architecture so new system integrations (new EMR, new HR system) can be added as connectors without changes to the core platform.
Immutable Audit Ledger
All compliance actions, evidence submissions, and control test results are written to an immutable PostgreSQL ledger with hash chaining, ensuring regulators can trust the evidence chain of custody.
Architecture Decisions
Key Technical Choices
Control Library Before Dashboard
Built the compliance control library and evidence model as the core data asset before any UI. The dashboard is a view on the data — not the other way around.
Push Evidence Collection Over Pull
Systems push compliance-relevant events (access logs, training completions, policy acknowledgements) to the platform rather than the platform polling each system — lower latency, fewer integration failures.
Risk-Based Prioritization
Controls are weighted by regulatory citation frequency and patient safety impact so the dashboard surfaces the highest-risk gaps first rather than treating all 847 controls as equally important.
Results
What We Delivered
Solution Blueprint
How It All Fits Together
- 847 mapped controls
- HIPAA / HITECH / JC standards
- Cross-framework overlap mapping
- 140 automated evidence collectors
- System integration connectors
- Immutable audit ledger
- Real-time posture dashboard
- Remediation workflow engine
- Regulator-ready export
Lessons Learned
What We Improved
Control Ownership Is the Hard Part
Assigning a named owner with accountability to each of the 847 controls took 3 weeks of stakeholder workshops. Without ownership, evidence collection has nowhere to route.
Automation Reveals Gaps That Manual Processes Hid
Automated evidence collection found 23 controls that were being manually marked 'compliant' without actual evidence. That discovery justified the project cost in the first month.
Regulator Trust Requires Immutable Records
During the HIPAA audit, the hospital's legal team specifically cited the hash-chained evidence ledger as their strongest defense against documentation tampering allegations.
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