Digital health platforms
Digital Health Platforms Engineered for Scale
A digital health platform is not one app. It is a patient experience, a clinician workspace, an operations console and a governed data layer that keeps all three consistent. Actofit builds that whole system, with AI embedded where it changes outcomes rather than bolted on afterwards.
- 8–14 wks
- to first production release
- FHIR R4
- native data model
- 50M+
- health records processed
- 99.95%
- platform availability target
One platform, four surfaces
Patients, clinicians, administrators and partners each need a different view of the same longitudinal record. We model the domain once and project it into purpose-built experiences, so a change in care plan is instantly true everywhere.
- Patient app: onboarding, care plans, results, messaging and adherence
- Clinician workspace: worklists, encounter capture, orders and escalation
- Operations console: capacity, throughput, revenue cycle and quality metrics
- Partner APIs: labs, pharmacies, payers and device manufacturers
A governed health data layer
Everything sits on a normalised clinical data model with lineage, consent and audit built in. That is what makes analytics trustworthy and what makes AI safe to deploy later.
- FHIR R4 resources as the canonical model, with HL7 v2 ingestion
- Terminology services for SNOMED CT, LOINC, ICD-10 and RxNorm
- Consent, purpose-of-use and row-level access enforced at the data layer
- Immutable audit trails for every read and write of clinical data
AI that clinicians accept
Models earn their place by removing work, not adding review burden. Every agent is grounded in your own data, produces citations and keeps a human in the loop for clinical decisions.
- Retrieval grounded in your protocols, formularies and patient history
- Evaluation harnesses and regression suites before any model change ships
- Confidence thresholds that route uncertain cases to a person
- Full prompt, context and output logging for clinical governance
Built for the regulatory reality
Compliance is an architectural property, not a document written at the end. We design controls into the platform and hand over the evidence your auditors will ask for.
- HIPAA-ready architecture with encryption in transit and at rest
- GDPR data residency, retention and subject-access workflows
- SOC 2 aligned change management, access review and logging
- Documentation packs supporting your certification programme
Engineering stack
What this is built on
Faster time to market
A production platform in weeks, with the architecture to keep going.
Lower integration cost
One canonical model instead of point-to-point interfaces.
Compounding data value
Every encounter improves analytics and AI performance.
Clinician adoption
Workflows designed with the people who have to use them daily.
Questions
Digital Health Platforms — frequently asked
A digital health platform is the connected software foundation behind a care model — patient experience, clinician tooling, operational systems and a governed clinical data layer, integrated so that one record drives every surface. It replaces a collection of disconnected point apps with a single interoperable system.
Actofit typically ships a first production release in eight to fourteen weeks, covering the core patient and clinician journeys plus the data layer. Broader modules such as billing, payer integration and advanced analytics are then layered on in successive releases without re-architecture.
We build HIPAA-ready and GDPR-aligned architecture: encryption in transit and at rest, role and purpose-based access control, immutable audit trails, data residency controls and subject-access workflows. Certification is achieved by your organisation, and we provide the technical controls and evidence needed to support it.
Yes. We integrate via FHIR R4 APIs where available and HL7 v2 interfaces, flat-file feeds or database replication where they are not. Common integrations include Epic, Cerner, Meditech and regional or in-house hospital information systems.
You own all source code, data models and infrastructure definitions produced for your platform. Actofit works as an engineering partner, not a licensor, and hands over repositories, documentation and runbooks throughout the engagement.
Every agent is grounded in your own governed data, returns citations, is bounded by explicit clinical guardrails and logs its full context and output. Uncertain cases are routed to a human, and model changes pass an evaluation suite before release.
Related solutions
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