| Literature DB >> 35750350 |
Iain M Smith1,2, Elaine Bayliss3.
Abstract
The COVID-19 pandemic has infected tens of millions worldwide. Healthcare systems have been stretched caring for the most seriously ill and healthcare workers have struggled to maintain non-COVID services leading to backlogs.Strategies proposed to support the recovery of backlogs include additional administration support; waiting list data validation; enhanced patient communication; and use of systematic improvement methods to make rapid incremental improvements.As part of COVID-19 recovery, a hospital trust in northern England used the Lean systematic improvement approach to recover the waiting list of a paediatric service to pre-COVID levels. The intervention strategy used a massive-open-online-course (Lean Fundamentals) to support the improvement project lead to follow a structured improvement routine to apply Lean improvement techniques.By acknowledging that staff were overburdened by the requirements of COVID-19 and that patients were stuck in a system of disconnected processes, administrative activities were redesigned around an ethos of compassionate communication that put patients first.Over a period of 8 weeks, the project reduced the waiting list from 1109 to 212. Waiting times were reduced from a maximum of 36 months to a 70-day average.Lean is often described in terms of increasing process efficiency and productivity. It is not often associated with staff benefits. However, when seen in the context of unburdening staff to deliver patient care, Lean has potential to support the recovery of both staff and services. Lean Fundamentals, with its accessible massive-online design, may provide a means of supporting such improvement at scale. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: COVID-19; Lean management; Paediatrics; Quality improvement; Waiting Lists
Mesh:
Year: 2022 PMID: 35750350 PMCID: PMC9234906 DOI: 10.1136/bmjoq-2022-001914
Source DB: PubMed Journal: BMJ Open Qual ISSN: 2399-6641
Overview of the Lean Fundamentals massive-open-online-course modules
| Module | Description |
| 0. Course induction | Orients participants to the learning platform functionality, course objectives and learning compact. Helps participants consider their improvement project scope. |
| 1. Improvement Kata introduction | Provides a structured, four-step routine for learning and applying improvement science and helps participants establish and communicate their project. |
| 2. Introduction to Lean | Introduces the principles of Lean and helps participants to consider how value is defined and how waste manifests within processes. |
| 3. The building blocks of processes | Demonstrates the effect of process variation and helps participants to design it out and document processes through observation and waste elimination. |
| 4. The flows of healthcare | Introduces participants to seven flows that comprise healthcare processes and how to observe, document and process map them. |
| 5. Workplace organisation | Helps participants apply a five-step process to organise workplaces and use visual methods to design more effective, efficient and reliable processes. |
| 6. Pursuing perfection | Introduces a structured approach to continuous improvement through iterative experimentation using the model-for-improvement and plan-do-study-act cycles. |
Improvement Kata steps
| Step | Description |
| 1. Understand the direction and challenge | Establish a clear improvement aim linked to an organisational priority. |
| 2. Grasp the current situation | Use various process analysis techniques to study the current state in detail. |
| 3. Establish the next target condition | Articulate a series of target conditions for how processes should operate to achieve the overall aim. |
| 4. Experiment towards the target condition | Apply successive iterations of plan-do-study-act experiments to achieve each target condition and the overall aim. |
Figure 1Total waiting list for clinical assessment panel.
Figure 2Referral to treatment (RTT) waiting time (in days).