The pathway crosses every system
One episode of care touches scheduling, clinical notes, labs, devices, and billing. When those hold separate truths, staff reconcile them manually and the patient repeats themselves.
Healthcare & Life Sciences
Clinical software that respects the pathway and the patient
We build care platforms around the way clinicians actually work, with interoperability, consent, and minimised data designed in from the first architecture session.
HL7 / FHIR
native interoperability, not a nightly export
Minimised
protected data at every boundary
Recorded
consent and access on every read
The hard part
What makes clinical software different from the rest
Healthcare workflows cross clinical, operational, and billing boundaries while the most sensitive data in the business follows the patient through all of them. Systems that ignore the pathway create double entry, missed handoffs, and clinicians typing into a screen instead of looking at a person. We map the pathway first, minimise what is stored, and treat interoperability and consent as architecture rather than a late integration phase.
Sensitive data spreads by default
Logs, analytics, support tooling, and test environments quietly accumulate identifiers. Reducing that surface later means touching everything at once.
Clinical time is the scarcest resource
A workflow that adds thirty seconds per patient will be worked around. Adoption depends on removing steps, not adding a better-looking form.
What we build
Everything an episode of care touches
Each of these is running in a live service today, from the first intake form through to the follow-up nobody wants to chase by phone.
- 01
Patient portals and telehealth
Scheduling, intake, messaging, and video visits built to be usable on an old phone with a poor connection and a screen reader.
- Intake
- Video visits
- WCAG 2.2 AA
- 02
Clinical workflow and coordination
Care-team task models, escalation rules, and handoffs that mirror how the service actually runs, including the exceptions.
- Task routing
- Escalation
- Handoffs
- 03
Interoperability and integration
FHIR resources, HL7 v2 feeds, EHR connections, lab results, and device telemetry mapped into a coherent internal model.
- FHIR R4
- HL7 v2
- SMART on FHIR
- 04
Remote monitoring and devices
Ingest, thresholds, and alerting for at-home and in-facility devices, with signal quality treated as a first-class concern.
- Telemetry
- Thresholds
- Alerting
- 05
Consent, access, and audit
Purpose-bound access control, recorded consent, and audit trails that answer who saw what, when, and under what authority.
- RBAC / ABAC
- Consent
- Access logs
- 06
Life-science and research tooling
Study data capture, protocol workflows, and analysis pipelines with the reproducibility and lineage that review demands.
- eCRF
- Lineage
- Reproducibility
How we work
From shadowing the pathway to a staged rollout
We learn the service before we design for it, and we prove the integrations while there is still time to act on what they tell us.
Operating viewCare pathway
Consentedevery access
- 1
Shadow the pathway
We observe the real service, including the paper, the phone calls, and the workaround spreadsheet that keeps it running.
- 2
Design the data boundary
We decide what protected data the system must hold, where it stops, and how consent and purpose travel with each request.
- 3
Integrate before you build
Interoperability is proven early against real feeds, because an EHR connection discovered late reshapes the whole delivery plan.
- 4
Roll out beside clinicians
Staged release with clinical champions, measured on time saved per encounter rather than features delivered.
Technology
What we build clinical systems with
Chosen for interoperability out of the box, provable handling of protected data, and screens that stay usable on the hardware a ward actually has.
Product surface
Accessible on the devices clinicians carry
- Next.js
- React
- TypeScript
- React Native
- Radix UI
Clinical services
Interoperable by construction
- Node.js
- Python
- HAPI FHIR
- PostgreSQL
- Mirth Connect
Data and analytics
Governed movement of sensitive data
- Kafka
- dbt
- Snowflake
- Airflow
- OMOP CDM
Platform and security
Provable protection of PHI
- AWS / Azure
- Kubernetes
- Terraform
- KMS
- Datadog
What changes
How the service feels once it is running
What your teams get back
- Fewer handoffs between care and operations
- Interoperable data clinicians can act on in the moment
- Clear, exportable evidence of access and consent
- Administrative minutes returned to every encounter
Standards we build against
- HIPAA
- HITRUST
- GDPR
- SOC 2
- WCAG 2.2 AA
- FHIR R4
These are engineering commitments rather than a certificate we point at. Each one shows up as a control, a test, or a record you can export on request.
Systems we integrate
- Epic
- Cerner Oracle Health
- Redox
- Health Gorilla
- Twilio
- Zoom Healthcare
- Stripe
- Okta
Questions
What clinical and IT teams ask us first
Where the EHR supports it, yes. SMART on FHIR apps embedded in the clinical context avoid a second login and a second place to look. Where the workflow genuinely sits outside the record, we integrate over FHIR or HL7 v2 and keep the record as the source of truth.
Build care software clinicians keep using
Tell us where the pathway breaks down — the double entry, the missed handoff, the spreadsheet holding it together. We will come back with an architecture and a first slice worth shipping.