Health
Clinical documentation and decision support on data that never leaves the network.
Patient data is among the most tightly regulated in any jurisdiction. Clinical workflows generate large volumes of documentation tasks that are repetitive and time-consuming but require domain precision. A specialist model trained on de-identified clinical scenarios runs entirely within your infrastructure, satisfying HIPAA, UK-GDPR, and NHS data-processing requirements without a third-party API.
Why a specialist model
Three reasons frontier models do not fit.
- Patient data cannot leave the network
- HIPAA, UK-GDPR, and NHS data-processing agreements all constrain where identifiable patient data can be sent and processed. A specialist model deployed on your own hardware is not a data processor under GDPR. The data never moves.
- Clinical accuracy requires domain specialisation
- A generalised frontier model scores well on public medical benchmarks but is not calibrated to your institution's protocols, formulary, and documentation standards. A specialist trained on your de-identified clinical data learns the patterns and terminology that matter in your specific context.
- Documentation volume makes frontier costs unsustainable
- Clinical notes, discharge summaries, and referral letters are written in their hundreds daily. Running each through a frontier API at commercial rates is uneconomical for most NHS trusts and health systems. A specialist on owned hardware processes them at zero marginal cost.
Use cases
Concrete workflows, not a category claim.
Each use case below maps to a real workflow a design-partner team would bring to Modelsmith. The specialist model is trained on your data, evaluated against your rubric, and promoted through your governance gate.
Clinical note generation
Train a specialist on de-identified encounter transcripts and their corresponding clinical notes to generate structured documentation from dictation input. The model learns your institution's note style and terminology, producing drafts that require minimal clinician editing.
Triage scoring
Fine-tune a specialist on your historical triage assessments to produce an acuity score and supporting rationale from presenting complaint and vital signs. Designed to assist triage nurses, not replace clinical judgement.
Discharge summary drafting
A specialist trained on admission records and discharge summaries drafts the discharge document for clinician review and sign-off. Reduces the gap between clinical decision and administrative completion without bypassing the clinician in the loop.
Differential diagnosis support
Train a specialist to generate a ranked list of differentials from symptom and history input, with references to relevant clinical criteria. A decision-support tool for junior clinicians; the clinician retains diagnostic authority.
Get started
Bring a health workflow to the design-partner cohort.
Apply to the design-partner programme with your workflow in mind. We will scope the Synthetic POC together, run a complete specialisation cycle on synthetic domain scenarios, and hand you a validated model with a full evidence bundle before any licence commitment.