Innovation Scorecard: Invention, Adoption and Diffusion David Webb PDIG Summer Symposium

Measuring innovation… Often a ‘fuzzy’ business There is nothing worse than a sharp image of a fuzzy concept Ansel Adams

For private companies The what? – Return on innovation – Profit divided by investment in innovation What about the how? – Scale – Success – Efficiency

The fuzzy logic Dealing with approximate reasoning since 1965

Innovation in the NHS Accelerating adoption and diffusion – NICE compliance regime – Publication of local formularies – NICE Implementation Collaborative – Innovation Scorecard Academic Health Science Networks – 15 designated Medicines optimisation Transparency

Off the peg? No central collection – Hospital medicine utilisation Data handling – Trust purchase data Gaps – Outsourcing – Homecare – Collaborative procurement Breadth or detail – 97% rule – Population alignment Case mix – Standardisation Spreadsheet – 102 TAs – 76 medicines

Experimental status All things to all people? – Identifies where variation in adoption may exist Data sets – ePACT – Pharmex (in volumes)with agreement of NPSG – Industry data Denominators – 100,000 resident population – 100,000 FCE bed days

Concept and execution Catalysis Refreshed publication How could the Scorecard be improved? Is there a better way to standardise the data? What are the patient perspectives?