SUCCESS MEASUREMENT

What should improve if Disease Intelligence is useful?

Do not rely on vague “AI transformation” claims. Define a baseline, agree measurable workflow targets, launch the relevant product and compare actual results.

NAVIGATION

Discovery efficiency

  • Time to identify relevant capability types
  • Search-to-saved-route completion
  • Unresolved search rate
  • Evidence inspection rate
REFERRALS

Workflow performance

  • Time to acknowledgement
  • Unassigned referral count
  • Escalation rate
  • Status completion
CAPABILITY DATA

Information quality

  • Verified capability coverage
  • Stale records
  • Conflicting assertions
  • Review backlog age
RESEARCH

Intelligence productivity

  • Time to landscape a question
  • Saved sites/investigators
  • Evidence collection reuse
  • Signal-to-review action
PUBLIC SECTOR

Planning transparency

  • Coverage visibility
  • Data completeness by region
  • Assumption documentation
  • Scenario review cadence
COMMERCIAL

Adoption & value

  • Active users
  • Core workflow completion
  • Renewal/expansion indicators
  • Modelled vs observed capacity value
NO FABRICATED CASE STUDIES

Start with a measurement framework, then earn the proof.

V8 intentionally does not invent customer logos, testimonials or outcome percentages. Real case studies should only be published after consent and verified measurement.

PILOT PRINCIPLE

Baseline → configure → run → measure → decide.

A serious institutional pilot should finish with evidence strong enough to support expansion, redesign or stopping—not a predetermined success story.

See implementation