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Key performance indicators Lean Transformation Network, 22 February 2011 Libby Tait Associate Director, Modernisation.

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Presentation on theme: "Key performance indicators Lean Transformation Network, 22 February 2011 Libby Tait Associate Director, Modernisation."— Presentation transcript:

1 Key performance indicators Lean Transformation Network, 22 February 2011 Libby Tait Associate Director, Modernisation

2 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

3 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

4 Dashboard ‘Home/front page’ Links to the specific data

5 Dashboard List of wards + detail LocationWardSpecialtyBedsDescription

6 Dashboard Link back to homepageIndicator Drop down menu: ward ‘pick list’Source Cell changes colour if fall/rise from previous month Target Benchmark

7 Dashboard demonstration

8 Distribution Health Intelligence Unit – Trak/Oracle Modernisation team Programme steering group - reporting - cascading to senior management Service teams -local clinicians -Local management

9 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

10 Benefits  Single agreed information source  User friendly – simple graphic format  Common file type – excel  Experts analysing the information

11 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

12 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


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