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Nursing

Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/24

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    The use of Lean Six Sigma methodology in the reduction of patient length of stay following anterior cruciate ligament reconstruction surgery
    (MDPI, 2022-01-30) Moffatt, Sinead; Garry, Catherine; McCann, Hannah; Teeling, Sean Paul; Ward, Marie; McNamara, Martin
    Background: The purpose of this study was to reduce the length of stay of anterior cruciate ligament reconstruction patients within a private hospital in Ireland, reducing any non-value-added activity in the patient pathway, with the goal of increasing patient flow, bed capacity, and revenue generation within the hospital system, while maintaining patient satisfaction. Methods: We used a pre-/post-intervention design and Lean Six Sigma methods and tools to assess and improve the current process. Results: A reduction in inpatient length of stay by 57%, and a reduction in identified non-value-added activity by 88%, resulted in a new day-case surgery pathway for anterior cruciate ligament reconstruction patients. The pathway evidenced no re-admissions and demonstrated patient satisfaction. Conclusion: Six months post-project commencement, we had successfully achieved our goals of reducing our anterior cruciate ligament reconstruction patient’s length of stay. This study contributes to the growing body of published evidence which shows that adopting a Lean Six Sigma approach can be successfully employed to optimise care and surgical pathways in healthcare.
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    Redesigning the process for scheduling elective orthopaedic surgery: A combined Lean Six Sigma and person-centred approach
    (MDPI, 2021-11-13) Daly, Ailish; Wolfe, Nicola; Teeling, Sean Paul; Ward, Marie; McNamara, Martin
    The Health Service Executive Ireland model of care for elective surgery supports the delivery of elective surgical care in achieving both process and clinical outcomes. This project was conducted in the Orthopaedic Department. Following an outpatient consultation with an orthopaedic surgeon, patients who required surgical intervention were scheduled for their intervention by the administrative team. Prior to commencing this project, the average time from patient consultation to being scheduled for surgery on the hospital system was 62 h/2.58 days. A pre- and post-team-based intervention design employing Lean Six Sigma methodology was applied to redesign the process for scheduling elective orthopaedic surgery. The project was informed by collaborative, inclusive, and participatory stakeholder engagement. The goal was to streamline the scheduling process for elective orthopaedic surgery, with a target that 90% of surgeries are scheduled “right first time” within 48 h/two working days of the outpatient consultant appointment. The main outcome measures showed that 100% of orthopaedic surgeries were scheduled successfully within 2 days of outpatient appointment. Duplication in work between patient services and scheduling teams was eliminated and facilitated a reduction in unnecessary staff workload. This project highlights the importance of collaborative interdisciplinary stakeholder engagement in the redesigning of processes to achieve sustainable outcomes, and the findings have informed further improvements across the hospital’s surgical scheduling system.
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    Using Lean Six Sigma to redesign the supply chain to the operating room department of a private hospital to reduce associated costs and release nursing time to care
    (MDPI, 2021-10-20) O’Mahony, Lisa; McCarthy, Kerrie; O’Donoghue, Josephine; Teeling, Sean Paul; Ward, Marie; McNamara, Martin
    Continuity of the supply chain is an integral element in the safe and timely delivery of health services. Lean Six Sigma (LSS), a continuous improvement approach, aims to drive efficiencies and standardisation in processes, and while well established in the manufacturing and supply chain industries, also has relevance in healthcare supply chain management. This study outlines the application of LSS tools and techniques within the supply chain of an Operating Room (OR) setting in a private hospital in Dublin, Ireland. A pre-/post-intervention design was employed following the Define, Measure, Analyse, Improve, Control (DMAIC) framework and applying LSS methodology to redesign the current process for stock management both within the OR storage area and within a pilot OR suite, through collaborative, inclusive, and participatory engagement with staff. A set of improvements were implemented to standardise and streamline the stock management in both areas. The main outcomes from the improvements implemented were an overall reduction in the value of stock held within the operating theatre by 17.7%, a reduction in the value of stock going out of date by 91.7%, and a reduction in the time spent by clinical staff preparing stock required for procedures by 45%, all demonstrating the effectiveness of LSS in healthcare supply chain management.
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    The use of Lean Six Sigma for improving availability of and access to emergency department data to facilitate patient flow
    (MDPI, 2021-10-20) Daly, Ailish; Teeling, Sean Paul; Ward, Marie; McNamara, Martin; Robinson, Ciara
    The aim of this study was to redesign an emergency department [ED] data management system to improve the availability of, and access to, data to facilitate patient flow. A pre-/post-intervention design was employed using Lean Six Sigma methodology with a focus on the voice of the customer, Gemba, and 5S to identify areas for improvement in ED data management processes and to inform solutions for improved ED patient flow processes. A multidisciplinary ED team includes medical consultants and registrars, nurses, patient service staff, radiology staff, as well as information technology and hospital management staff. Lean Six Sigma [LSS] diagnostic tools identified areas for improvement in the current process for data availability and access. A set of improvements were implemented to redesign the pathway for data collection in the ED to improve data availability and access. We achieved a reduction in the time taken to access ED patient flow data from a mean of 9 min per patient pre-intervention to immediate post-intervention. This enabled faster decision-making by the ED team related to patient assessment and treatment and informed improvements in patient flow. Optimizing patient flow through a hospital’s ED is a complex task involving collaboration and participation from multiple disciplines. Through the use of LSS methodology, we improved the availability of, and fast access to, accurate, current information regarding ED patient flow. This allows ED and hospital management teams to identify and rapidly respond to actions impacting patient flow.