Key performance indicators Lean Transformation Network, 22 February 2011 Libby Tait Associate Director, Modernisation
Is every step necessary? What is the best location for each task? Who is the best person to undertake each task? What are the optimum clinical pathways? Where are the hand-offs, variation, delays & duplications? How will we know it is better -what are the metrics? GPA&EAcuteRehab Community & social care Stroke Post Acute Geriatric Orthopaedic RehabilitationGeneral Medicine of the ElderlyDementia/Delirium Older People’s Pathway Programme
Measuring for Improvement Process measures: –Macro - from data sources –Micro casenote analysis e.g 45 stroke patient journeys Circle of work – Time value analysis- therapists Efficiency of MDT –use of time Cycle time – social work referral to allocation, assessment Quality (Outcome) Measures – patient questionnaires –Sample patient views –Staff feedback Balancing measures –Re-admission rates Regular or snapshot Financial impact – IRF Establish Baseline
Dashboard ‘Home/front page’ Links to the specific data
Dashboard List of wards + detail LocationWardSpecialtyBedsDescription
Dashboard Link back to homepageIndicator Drop down menu: ward ‘pick list’Source Cell changes colour if fall/rise from previous month Target Benchmark
Dashboard demonstration
Distribution Health Intelligence Unit – Trak/Oracle Modernisation team Programme steering group - reporting - cascading to senior management Service teams -local clinicians -Local management
Next steps Confirm metrics with Health Intelligence Unit Receive monthly information downloads Explore new dashboard software for local use Tool of choice for MoE teams
Benefits Single agreed information source User friendly – simple graphic format Common file type – excel Experts analysing the information
Challenges Multiple information systems Questions over source of data Clinician scrutiny Quality of information: Trak not used same way across sites only as good as what’s inputted The true picture: boarders ward vs specialty information
suggestions Use what’s useful, even if not perfect Simple paper systems are OK Develop easy to use collection forms Collect data as by-product if possible Ensure data is reviewed and fed back to those who collect Both qualitative and quantitative data Collect what is useful, stop when it isn’t