Innovation Scorecard:Invention, Adoption and Diffusion

David WebbPDIG 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 reasoningsince 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?