Commercial health innovation
Health Innovation East
A one-year commercial placement working across NHS-facing innovation, evidence synthesis, market intelligence, competitor analysis, pathway fit and adoption logic.
- TriageNeed and product claim
- EvidenceProof and uncertainty
- MarketAlternatives and maturity
- CaseValue, risk and route
- AdoptPathway fit
Quick scan
- Role
- Commercial health innovation placement work across triage, market intelligence, adoption logic and toolkit authoring.
- Timeframe
- 2024-2025
- Context
- Health Innovation East placement in an NHS-facing innovation environment.
- Work mode
- Independently owned deliverables plus co-authored advisory support.
- Outputs
- Evidence briefs, competitor packs, market scans, QOF-alignment material and an internal AI Toolkit.
- Why it matters
- Shows I can turn product, pathway and evidence questions into decision-ready analysis.
Context
Health Innovation East gave me a full year inside NHS-facing commercial innovation work. The work was rarely just about whether a technology looked promising. It was about evidence, pathway fit, stakeholder confidence, commercial maturity and the practical route from product claim to adoption decision.
My role
My role combined independently owned deliverables with co-authored advisory work. I ran and supported innovator triage and 1-to-1 scoping calls, turned a new CB Insights licence into repeatable horizon-scanning dashboards and live databases, built competitor and QOF-alignment material for Cardisio AI-ECG work, authored the internal AI Toolkit, supported the Charco business case, and helped map innovations against ICB priorities and workstreams.
- I authored the internal AI Toolkit.
- I built QOF-alignment and competitor-analysis material for Cardisio AI-ECG work.
- I turned CB Insights access into reusable horizon-scanning dashboards and live databases.
- I co-authored advisory work for a Parkinson's management device.
- I supported and co-authored business-case material, including evidence, pathway and value framing for the same innovation.
Approach
I learnt to break broad innovation questions into the parts that shape a decision: unmet need, evidence base, competitor landscape, pathway fit, stakeholder confidence, governance risk, data requirements and what evidence would be needed next.
Selected outputs
- Evidence briefs and structured evidence summaries.
- Competitor comparison packs and technology landscape summaries.
- Market and horizon-scanning summaries.
- AI/MedTech guidance-support material.
- Adoption and value logic notes.
- Pathway and stakeholder-decision framing.
What this shows
This is the clearest professional evidence of how I think: I can work at the boundary between biomedical evidence, product claims, NHS realities and commercial decision-making without flattening one into the other.