Offer

Understanding the impact of reducing length of stay across the system

Added by
 
Simon Dodds
on 28th September 2019
 

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Skill
  • Statistical analysis
  • Quality improvement
  • Information Technology
  • Expert by patient experience
  • Engagement
  • Design
  • Communication
  • Coaching and mentoring
  • Audit and evaluation
Interest
  • Workforce
  • Wider determinants of health
  • Social care
  • Regulation
  • Quality of care
  • Public health
  • Primary care
  • Policy
  • Person-centred care
  • Patient safety
  • Patient experience
  • Patient and public involvement
  • Older people
  • Model for Improvement
  • Mental health
  • Long-term conditions
  • Lean
  • Leadership
  • Integrated care
  • Inequalities
  • Improvement research
  • Human Factors
  • Funding and sustainability
  • End of life care
  • Emergency medicine
  • Efficiency and productivity
  • Disability
  • Digital technology
  • Complexity
  • Community and voluntary
  • Communities of Practice
  • Commissioning
  • Collaboration and networking
  • Children and young people
  • Analytics and data
  • Acute care
  • Access
Region
  • Yorkshire and Humber
  • Wales
  • South West
  • South East
  • Scotland
  • Northern Ireland
  • North West
  • North East
  • Midlands
  • London
  • Ireland
  • East

It is often assumed that reducing length of stay will always lead to an reduction in bed occupancy, improved flow, reduced waiting times, less chaos, less stress, less workload and happier patients and staff.  However, complex, time-dependent systems like health care can behave in counter-intuitive ways and well-intended interventions can lead to unintended, adverse consequences.  Our understanding of complex adaptive systems (CAS) is growing and we now have the theory, techniques and tools to help us avoid these intuitive traps. One technique is to use flow similations to visualise of whole system behaviour in response to proposed changes - in effect using a computer game to help us re-train out intuition.

My offer is to demonstrate the use of virtual system simulation technique using a virtual meeting and to offer some complimentary copies of the simulation software to those who would like to learn how to do the same.  This is the "See One - Do Some - Teach Many" model of cascaded learning.    

 


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