Industry

Healthcare

Technology for better patient outcomes

I build healthcare technology that improves patient care while maintaining strict compliance. From EHR integrations to AI-powered diagnostics, I understand the sensitivity and complexity of healthcare data.

At a glance
Regulations
6 frameworks
KPIs tracked
6 core metrics
Reference stacks
5 patterns
Services
4 engagements
Case studies
1 published
Perspective

How I think about healthcare

The architecture, the trade-offs, and where I push back on conventional wisdom.

Healthcare is the industry where the cost of a software bug can be measured in patient harm. That fact reshapes every engineering decision. I build healthcare systems with the assumption that anything I ship will eventually be reviewed by a compliance officer, an auditor, and possibly a regulator - and that's the right bar. My architecture work in healthcare starts from threat modeling and consent flow, not from feature lists.

HIPAA is the floor, not the ceiling. The Privacy Rule, Security Rule, and Breach Notification Rule together prescribe administrative, physical, and technical safeguards, but compliance is a posture, not a checkbox. I design platforms where PHI is encrypted at rest with customer-controllable keys, in transit with TLS 1.3, and in use with field-level encryption for the most sensitive elements. Every read is logged, every BAA is honored at the cloud-account boundary, and the blast radius of any single credential is minimized.

Interoperability is where most healthcare projects either succeed or get stuck for two years. HL7 v2 is still everywhere, FHIR R4 is the future, and bridging the two requires patience. I build integrations against Epic's MyChart and FHIR APIs, Cerner/Oracle Health, athenahealth, and the open-source HAPI FHIR server. The 21st Century Cures Act information-blocking rules mean payers and providers actually have to expose this data now, which has unlocked a wave of patient-facing apps.

AI in healthcare needs more rigor than AI anywhere else. Clinical decision support that crosses into the medical-device boundary triggers FDA review under the SaMD framework. Even when you stay outside that boundary, the bar for evaluation is high - you need retrieval grounded in source-of-truth clinical data, explicit citations, prompt-injection defenses, and clinician-in-the-loop review. I've shipped clinical document summarization that reduced chart-review time by 60% while keeping a board-certified physician as the final reviewer.

Telehealth, RPM, and digital therapeutics each have their own quirks - DEA Ryan Haight rules for controlled-substance prescribing, state-by-state telehealth licensure compacts, FDA 510(k) for connected devices. I help founders navigate this stack without overbuilding. The goal is always the same: better outcomes, lower friction, defensible compliance. Read about a HIPAA-compliant build or reach out to discuss your roadmap.

Challenges

What teams struggle with

The recurring problems I see on healthcare engagements.

  • 1HIPAA compliance and data security
  • 2EHR/EMR system integration
  • 3Real-time monitoring and alerts
  • 4Interoperability standards (HL7, FHIR)
  • 5Patient privacy and consent management
How I help

Capabilities I bring

Concrete engineering work that resolves the challenges on the left.

  • HIPAA-compliant architecture
  • HL7 FHIR integration
  • AI-powered diagnostic tools
  • Telehealth platform development
  • Medical device integration
Metrics

What teams measure

The KPIs leadership obsesses over in this sector. Most tie back to performance and architecture decisions made years before the dashboard was built.

01

Time-to-chart-completion

Minutes between patient encounter and finalized clinical note - directly drives clinician burnout.

02

30-day readmission rate

Quality metric tied to value-based reimbursement and a key target for predictive models.

03

No-show rate

Operational KPI that AI scheduling and reminders can move 20-30%.

04

Net Promoter Score (NPS) / patient satisfaction

Patient experience signal increasingly tied to reimbursement under HCAHPS.

05

Audit log completeness

Required by HIPAA Security Rule audit controls - every PHI access traceable.

06

Mean time to detect breach

Regulatory and reputational driver; HIPAA requires notification within 60 days of discovery.

Reference stacks

Stacks I see most often

Patterns I reach for first when scoping a healthcareengagement. I don't pick technologies for novelty - read more about how I choose.

1

AWS HIPAA-eligible services with BAA, Aurora Postgres, KMS-managed keys, GuardDuty

2

HAPI FHIR server, Mirth Connect for HL7 v2 routing, Redox for multi-EHR integration

3

Twilio Programmable Video or Doxy.me embed for telehealth, Stripe for cash-pay

4

Python/Go services for clinical workflows, Next.js patient portal on Vercel Enterprise

5

Datadog HIPAA-compliant tier or AWS-native CloudTrail + Security Hub for audit

Technologies

Tools of the trade

The platforms and frameworks I lean on for healthcare work.

Building for Healthcare?

Let's discuss your specific challenges and how technology can help you ship safely, sleep well, and keep regulators happy.

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