Healthcare

HIPAA, telehealth, EHR integrations

Building in healthcare?

How engagements start here

Systems that sit next to patient data and regulated process. Downtime has clinical and financial cost, compliance isn't a checkbox, and the way PHI moves has to survive a real security review.

Common challenges

HIPAA and PHI handling

EHR, payer, and clinical system integration

Real-time patient-facing systems

Security and access control across teams

Automating work that touches PHI without moving it where it shouldn’t go

Outcomes

Systems that keep running when EHRs, payers, or clinical APIs go down

PHI handled correctly from the first line of code

Automation that can keep PHI in place when required

Audit evidence built in, not assembled before a deadline

Capability areas

Telehealth and real-time systems

EHR and clinical integrations

PHI de-identification and segmentation

Edge or in-environment analysis when PHI has to stay put

Audit logging and access control

SOC 2, ISO 27001, and HIPAA architecture

Engagements

AI Workflow Optimization

AI is already in production. Costs are climbing, performance is uneven, or one frontier model is doing every job. I audit the workflow, run evals task by task, and hand back a system that costs less and holds up better. You keep the eval suite.

AI & Automation Readiness

You want to automate, but data is scattered, systems don't talk, or AI shipped with no harness. You need clean accessible data, addressable systems, guardrails around anything stochastic, and a data path security can stand behind.

Operational Automation

An expensive process in back office, ops, or analyst work that people keep saying should be automated. I map it with the people who run it, measure what it costs today, and decide what should be fully automated, what needs a human in the loop, and what shouldn't be built at all. When we do build, it's with guardrails, and with a data path that can run at the edge when records can't leave your environment.