Our advisory board ensures that every Symphonix product meets the highest standards of clinical safety, governance, and ethical AI deployment.
Every AI-assisted clinical decision must be validated against evidence-based practice. Our board reviews diagnostic algorithms, treatment recommendations, and safety protocols before they reach production.
The EU AI Act, General Data Protection Regulation (GDPR), and emerging global regulations require demonstrable oversight of AI in healthcare. Our board provides the independent governance layer that procurement teams and regulators require.
Technology decisions affect patients. Our board ensures that patient safety, data sovereignty, and equitable access remain at the centre of every product decision.
We are actively recruiting distinguished advisors across six disciplines.
Reviews clinical workflows, consultation frameworks, diagnostic accuracy, and treatment safety. Validates that AI recommendations align with current clinical guidelines.
Evaluates interoperability architecture, Electronic Health Record (EHR) integration patterns, and health information exchange governance. Ensures BulletTrain meets enterprise health system requirements.
Provides research rigour to clinical decision support evaluation, terminology mapping validation, and outcome measurement. Connects product development to published evidence.
Oversees adverse event detection, human-in-the-loop escalation protocols, emergency break-glass procedures, and medication safety validation.
Advises on universal health coverage alignment, cross-border data governance, and population health strategy. Ensures products serve national health system priorities.
Reviews algorithmic fairness, bias detection, explainability requirements, and data protection compliance. Ensures alignment with EU AI Act, GDPR, and emerging AI governance frameworks.
The absolute rule that emergency invocations are never blocked — not by policy, not by billing — was established as a board-level principle before being implemented in the Global Agent Registry.
The requirement for four independent reasoning strategies (Bayesian, heuristic, Large Language Model, and codified guidelines) to vote on every diagnosis was driven by clinical advisory input on cognitive bias mitigation.
The three-layer detection pipeline that prevents patient data from entering the Global Agent Registry was designed in response to advisory board concerns about centralised data exposure.
We welcome expressions of interest from experienced healthcare professionals, academics, and governance experts.
If you are a practising clinician, health informaticist, patient safety specialist, health policy expert, or AI ethics researcher with interest in clinical AI governance, we would welcome a conversation.