DarCode is booking new AI engineering engagements for Q4

Solutions / Healthcare

Clinical Workflows Without The Privacy Risk

Documentation, intake, and coding support designed so protected health information stays inside your boundary.

PHI processing
In-boundary
Before filing
Human-approved
To source record
Traceable

The problem

What Makes This Sector Hard

The constraints that shape every architectural decision we make here.

PHI cannot leave

Data residency and processing terms drive the architecture from the first decision.

Clinical accuracy

A plausible summary that omits an allergy is worse than no summary at all.

Legacy formats

Faxes, scans, and interface feeds that predate every modern integration standard.

Clinician time

Any tool that adds clicks will be abandoned within a fortnight.

What we build

Workflows That Earn Their Keep

The highest-volume, lowest-judgement work first. That is where automation pays.

01

Clinical documentation

Structure encounter notes into your template with the clinician approving before filing.

02

Intake and triage

Parse referrals and intake forms, route by urgency, and surface missing information.

03

Coding support

Suggest codes with the supporting passage attached so a coder can verify in seconds.

04

Prior authorisation

Assemble the evidence packet from the record and flag gaps before submission.

Tooling

Typical Stack For This Work

  • Anthropic
  • PostgreSQL
  • AWS
  • Azure
  • Python
  • Docker

Get started

Let's Build It, Together

Tell us what you are trying to ship. We will tell you the three shortest paths to it, and which one we would actually take.