Medical Affairs & Governance
Independent clinical education for verified healthcare professionals — grounded in SmPC, national guidelines, and auditable quality controls.
Last updated: May 23, 2026
SmartPrescribe is not a promotional channel. We provide evidence-linked education for licensed clinicians. AI outputs cite official sources (RCM/INFARMED, EMA, DGS normas, society guidelines) and are subject to automated quality checks before publication.
For partnership enquiries: medicalaffairs@smartprescribe.app
Platform audience (verified HCPs)
66credential-reviewed clinicians
Manual approval required for Ask AI and treatment planning. Updated 30 May 2026.
Clinical advisory board
We are appointing an independent clinical advisory board to review editorial policy, source hierarchy, and non-promotional governance. Advisors have no commercial edit rights and no access to individual user queries.
Planned expertise: clinical pharmacology, internal medicine / SNS practice, and cardiometabolic guideline alignment.
Expressions of interest: medicalaffairs@smartprescribe.app
Hospital / society pilot
We offer an 8-week unbranded pilot for hospitals, faculties, or specialty societies: verified HCP onboarding, Play + Ask + Prescribe access, and an anonymised aggregate report. No individual chat data is shared.
- Target: 30–50 active verified clinicians
- Success metrics: onboarding, Ask AI engagement, pre/post confidence survey
- Non-binding letter of intent available on request
Pre/post survey: baseline · post-pilot
Platform positioning
- Audience: Verified healthcare professionals (manual or institutional verification). Ask AI and treatment-planning tools are not open to the general public.
- Purpose: Continuing professional education — pharmacology, prescribing considerations, guideline-aligned management, and drug safety.
- Regulatory stance: Educational software for HCPs. Not marketed as a medical device or regulated clinical decision support product. See Terms of Service.
- Primary surfaces: Daily clinical cases (Play), evidence-based Q&A (Ask AI), and structured treatment planning (Prescribe — educational).
Editorial policy & source hierarchy
Clinical content is generated and retrieved using a fixed source hierarchy:
- National SmPC / RCM — INFARMED (Portugal), AEMPS, ANSM, MHRA, etc., matched to the clinician's practice location.
- EMA EPAR / EU product information where applicable.
- National guidelines — e.g. DGS normas (Portugal), NICE, ESC, KDIGO.
- Curated interaction & pharmacology datasets with evidence grades and verifiable references (PMID/DOI).
- Peer-reviewed literature — only when higher-tier sources are insufficient; low-evidence types (case reports, letters) are flagged.
Update cadence: Regulatory documents and guidelines are ingested on a scheduled basis. Guideline drift is monitored; material older than policy thresholds is flagged for reverification. See How we verify answers.
Human oversight: High-traffic clinical outputs (e.g. drug–drug interaction cards) follow a documented pre-publication QA checklist. Admin review applies to user feedback and flagged content.
Non-promotional commitment
- AI does not rank, prefer, or recommend branded medicines for promotional purposes.
- Therapeutic suggestions follow guideline class/level of evidence and generic/active-molecule framing unless the user asks about a specific product.
- No sponsored AI answers. Funding partners cannot edit, approve, or influence individual chat responses.
- Fair balance: benefits and risks are presented where clinically relevant; SmPC contraindications and interactions are prioritised over summary marketing claims.
- All Ask AI replies display an educational disclaimer and verifiable source links where available.
Off-label & indication policy
- Default responses address approved indications in the user's jurisdiction (SmPC/RCM-first).
- Off-label or academic questions may receive educational context when explicitly requested; such content is labelled as outside approved labelling and requires independent verification.
- SmartPrescribe does not encourage off-label promotion and does not substitute company medical information services.
Sponsorship & partnership policy
SmartPrescribe may enter unbranded disease-education partnerships with pharmaceutical Medical Affairs teams, subject to written agreement and compliance review.
- Permitted: Funding of independent educational modules (e.g. hypertension management aligned with DGS/ESC); grant support for guideline ingestion and QA; anonymised aggregate insight reports on knowledge gaps (no individual query data).
- Not permitted: Branded chat prompts; pay-to-rank molecules in AI output; sponsor review or approval of individual Ask AI responses; access to identifiable user queries or patient data.
- Labelling: Supported modules display: “Supported by [Company] — content independently verified by SmartPrescribe.”
- Firewall: Clinical editorial team and QA pipelines are separate from commercial discussions.
Partnerships are structured to align with EFPIA / APINFPMed educational principles. Legal review on both sides is required before launch.
Pharmacovigilance
SmartPrescribe is not a adverse-event (AE) reporting system. Users who mention suspected adverse reactions should follow national procedures:
- Portugal: INFARMED — Notifica espontânea
- EU: National competent authority or marketing authorisation holder medical information line.
We do not forward user chat content to pharmaceutical companies. Product safety concerns should be reported through official channels.
Data & independence
- We do not sell personal or clinical data to third parties, including sponsors.
- Anonymised, aggregated usage metrics may be reported to funding partners under contract (e.g. module completion rates, topic themes).
- Details: Privacy Policy.
Contact Medical Affairs
For governance documentation, pilot proposals, or unbranded education partnerships: