Structure the presentation
Bring symptoms, history, examination findings and clinical context into a consistent problem representation.
Clinician-facing product · in evaluation
AI clinical decision support that keeps the clinician in control.
Diagnify is being developed to help qualified health professionals organise a case, check red flags, compare differential diagnoses, plan investigations and inspect the evidence behind an output. It does not diagnose, prescribe or make decisions autonomously.
Product overview
A structured second set of eyes for the clinical work-up.
Diagnify is intended to support—not replace—the clinician’s reasoning. Its workflow is organised around the questions that matter during a consultation rather than around an unqualified answer from a general-purpose chatbot.
Challenge the differential
Consider likely, important and easily missed possibilities while keeping uncertainty visible.
Verify before action
Review red flags, evidence, assumptions and local guidance before accepting or acting on an output.
Clinical workflow
From presentation to a reviewable reasoning record.
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Enter the relevant clinical context
Use the minimum information needed for the task and follow your organisation’s privacy and consent requirements.
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Review the structured assessment
Inspect symptom framing, risk features, candidate explanations and the assumptions that influence prioritisation.
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Interrogate the evidence
Check source relevance, recency, population fit and uncertainty. A citation is a starting point for verification, not proof that a recommendation applies.
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Apply professional judgement
Confirm conclusions against the patient, local guidance and scope of practice. Reject or revise any output that does not fit.
Evidence visibility
Designed for inspection, not blind acceptance.
Evidence-based clinical support requires more than attaching references to fluent text. Diagnify is being designed so clinicians can examine the basis for an output and recognise where evidence is incomplete or indirect.
- Evidence links presented in context
- Separation of case facts from model inference
- Visible uncertainty and important alternatives
- Prompts to check recency, applicability and local guidance
Intended professional use
A reasoning aid for qualified health professionals.
Appropriate use during evaluation
- Supporting a clinician-led assessment
- Testing the completeness of a differential
- Identifying questions or findings to verify
- Reviewing evidence alongside authoritative guidance
Not an appropriate use
- Autonomous diagnosis, triage or treatment
- Emergency decision-making
- Direct-to-patient medical advice
- Replacing examination, local policy or specialist review
Evaluation status: access to a product in testing does not establish clinical effectiveness, fitness for a particular purpose or regulatory authorisation. Organisations should perform their own governance, validation and risk assessment.
Explore the system
Evaluate Diagnify from workflow to evidence.
Clinician access
Evaluate the workflow with its limits visible.
Use Diagnify only within your professional scope and under appropriate organisational governance.