NHS pilot & evaluation

Designing and evaluating an NHS pilot for a digital-health tool

How a pilot is designed with pre-defined measures so its evaluation genuinely supports — or challenges — a decision to scale.

Illustrative example. This is a representative worked example of how we structure this kind of work — not a specific client engagement. It contains no client names, confidential information or achieved metrics. Real client work is confidential and shared only anonymised, with permission, under NDA.

Written by Meds Global Health Clinical Team · Clinically reviewed by Dr Muhammad Suffyan, MB BS, Founder & Clinical Director · Last reviewed · How we review

The challenge

A digital-health tool is going into a small NHS pilot, and everyone hopes it works. But without measures defined before go-live, a pilot produces a warm anecdote rather than evidence, and the decision to scale ends up being made on enthusiasm. The team needs a pilot designed to give a defensible answer either way.

Approach

How the work is structured

The evaluation design comes before the pilot, not after: what would count as success, and failure, is written down while it can still shape the pilot.

  1. Define the decision. Clarify what decision the pilot must inform (scale, adapt or stop) and what evidence would justify each.
  2. Choose outcome & process measures. Select a small set of outcome measures (did it help?) and process measures (was it used as intended?), with baselines.
  3. Run with data discipline. Collect the agreed measures cleanly during the pilot, avoiding identifiable patient data unless there is a lawful basis.
  4. Evaluate against the plan. Report the result against the pre-defined measures — including an honest read when the evidence is inconclusive.
Pre-defined outcome & process measuresBaseline captureInformation-governance-safe data handlingDecision-linked evaluation

Result

What a good result looks like — and how it is measured

The deliverable is an evaluation that lets a board act — one that can say "scale", "adapt" or "stop" with reasons, rather than defaulting to scale because the pilot "felt positive".

  • Outcome measures against baseline (the clinical or operational effect)
  • Process measures (adoption, fidelity — was the tool actually used as designed?)
  • A clear recommendation tied to the pre-agreed decision thresholds
  • Explicit limitations and confounders

Transferability

Would this transfer to your setting?

Pilot results are strongly shaped by local context and the enthusiasm of early adopters. The example emphasises measuring fidelity and stating context, so a positive pilot is not over-read as proof it will work everywhere.

NHS pilot design & evaluation →Audit & quality improvement →Clinical advisory & governance →

Answers

NHS pilot & evaluation: frequently asked questions

Is this a real pilot?

No. It is an illustrative worked example of how we design and evaluate a pilot. It describes no real site, patients or results.

Why define measures before the pilot?

Measures chosen after the fact tend to flatter the result. Defining them up front — including what would count as failure — is what turns a pilot into evidence a board can act on.

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