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AI report drafting, inside clinical governance.

Rolling out AI-assisted clinical report drafting across ADHD and ASD assessment pathways, without going around clinical safety.

3.54 days

ADHD report turnaround, down from 7.82

84.37%

ADHD 7-day KPI compliance, up from 76.76%

7.36 days

ASD report turnaround, down from 11.39

75.32%

ASD SLA compliance, up from 64.51%

The situation

Assessment reports were a throughput bottleneck, with KPI and SLA compliance below target on both the ADHD and ASD pathways.

The constraint

This was clinical documentation in a regulated, NHS-facing service. Any AI had to sit inside clinical governance, not around it.

What I did

  • Identified and evaluated AI report-drafting tools, defining success criteria and validating the return on investment.
  • Took the chosen tool through the AI governance framework I'd set up, rather than around it.
  • Unblocked a disagreement about patient consent across clinical, legal and operational stakeholders.
  • Led the rollout across both assessment pathways.

With hindsight

The patient-consent question took far longer than it should have, because one stakeholder's position shifted more than once, and each shift reopened a discussion several senior people had already spent time closing. I should have insisted on a shared decision log from the start: what was decided, why, and who agreed. People should be able to change their minds, but when the record is visible and signed off, a change has to be acknowledged as one and argued for. It would have saved days of senior time.

The outcome

Throughput and compliance improved together on both pathways, with clinicians spending around 60% less time writing reports.

Want to use AI without compromising safety? Let's talk.

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