What we see
Healthcare organizations juggle patient privacy, highly regulated data flows, and the need for fast, reliable clinical systems. Legacy EMR/EHR integrations, fragmented data, and patchwork security controls create operational risk and slow innovation. Meanwhile, clinical teams want modern analytics and automation but can’t compromise compliance or uptime.
How we help
We focus on secure modernization: improving interoperability, protecting PHI, and enabling analytics that support care and research.
- Design and implement HIPAA-compliant cloud architectures and secure data lakes.
- Integrate EHR/EMR systems with reliable, auditable interfaces and error handling.
- Implement identity, consent, and access controls that protect patient data while enabling care teams.
- Build analytics platforms and ML pipelines with privacy-preserving patterns (pseudonymization, role-based access).
- Run risk assessments, gap remediation, and support for HITRUST / ISO 27001 readiness where applicable.
Who benefits most
- Hospitals and clinics modernizing patient systems.
- Pharma and research orgs needing secure analytics environments.
- Healthtech startups building on cloud infrastructures that must satisfy regulators.
Real outcomes (examples)
- Deployed a secure data pipeline that reduced clinical reporting latency from 48 hours to near real-time.
- Remediated critical PHI exposures and implemented a continuous monitoring program — eliminating recurring high-risk findings.
- Designed a consent-first analytics platform that supported research without exposing identified patient data.
What a typical engagement looks like
- Discovery, architecture review and PHI flow mapping.
- Risk remediation plan (short-term fixes + program roadmap).
- Implementation: identity, encryption, secure interfaces.
- Ongoing monitoring and compliance support.
Next step: Request a healthcare-specific checklist and a short call to review your PHI flow and biggest operational risks