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BinaryScaler

Healthcare & Life Sciences

Software that respects clinical time.

Patient portals, clinical workflow tools and research platforms built around how care is actually delivered — and around the regulation that governs it.

  • HIPAA experience
  • HL7 / FHIR
  • Accessibility to WCAG 2.2 AA

The sector

Every extra click has a cost

Clinical software is used by people who are interrupted constantly, often standing up, frequently with someone waiting. An interface that needs concentration is an interface that gets worked around.

We design for that context specifically: shallow flows, forgiving inputs, and state that survives an interruption. Then we build to the interoperability and privacy standards the sector requires, without letting them dictate the experience.

  • Designed for interrupted use
  • FHIR-based interoperability
  • Privacy by architecture
  • Accessible to clinical and patient users alike

Sub-sectors we serve

  • Providers
  • Payers
  • Digital health
  • Medical devices
  • Clinical research

Regulation we build to

  • HIPAA
  • GDPR
  • DCB0129 / DCB0160
  • ISO 27001
  • WCAG 2.2 AA

Reduction in documentation time

Measured on a clinical workflow rebuild

Portal completion rate

After accessibility-led redesign

Where we help

What we build in healthcare

Patient-facing platforms

Portals and applications that work for the least confident user on the oldest device, not just the demo.

  • Appointment + records access
  • Accessibility-first
  • Multi-language

Clinical workflow tools

Tools designed around observed clinical routine, shortening the path to the action rather than adding a screen.

  • Workflow observation
  • Interruption-safe design
  • Documentation burden reduction

Interoperability

FHIR and HL7 integration with the messy reality of hospital systems, including the ones with no test environment.

  • FHIR APIs
  • HL7 v2 interfaces
  • Terminology mapping

Research platforms

Data capture, consent management and analysis environments with the audit trail research governance requires.

  • Consent management
  • Data capture
  • Audit trails

Privacy engineering

Minimisation, pseudonymisation and access control designed in, so a breach is contained by architecture.

  • Data minimisation
  • Pseudonymisation
  • Access auditing

What the sector is dealing with

01 · The challenge

Clinicians spending more of the appointment on the keyboard than with the patient.

How we answer it

Workflow observation first, then interface work targeted at the three most-repeated tasks rather than a full redesign.

02 · The challenge

Integration projects that stall because the source system has no test environment.

How we answer it

Contract-tested integration against recorded traffic, so development continues while access is negotiated.

03 · The challenge

Patient portals that exclude the patients who need them most.

How we answer it

Accessibility and low-bandwidth performance treated as functional requirements, tested with assistive technology.

04 · The challenge

AI pilots stuck in review because nobody can evidence safety.

How we answer it

Evaluation evidence and human-oversight design produced as part of the build, giving the safety case something to reference.

FAQ

Questions we are asked

Yes, where we process protected health information. We prefer architectures where we do not need to — synthetic data in development, and access limited to what the work genuinely requires.

Start with a workflow observation

A week watching how the software is actually used tends to reset the roadmap.