| Literature DB >> 34831703 |
Ailish Daly1, Nicola Wolfe1, Seán Paul Teeling2,3, Marie Ward4, Martin McNamara2.
Abstract
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.Entities:
Keywords: Lean Six Sigma; collaborative; cross-functional team; elective surgery; scheduling; voice of customer
Mesh:
Year: 2021 PMID: 34831703 PMCID: PMC8619232 DOI: 10.3390/ijerph182211946
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Number of orthopaedic surgeries scheduled for 2016, 2017, and 2018.
LSS tools.
| Improvement Tool | Description of Tool | Rationale for Use in This Project |
|---|---|---|
| Project charter | A project charter is used to define, act on, and review challenges as well as problems | It was useful in clearly identifying the goals of the project, in terms of scope |
| SIPOC | High-level view of the process, with SIPOC standing for suppliers, inputs, processes, outputs, and customers | Identified linkages between suppliers, customers, inputs, outputs, and processes |
| RACI | Identifies which stakeholders were responsible and accountable throughout the DMAIC phases, and which needed to be consulted or kept informed | Ensured all stakeholders were involved and engaged throughout the process improvement |
| CTQ | Critical to quality tree: the CTQ tool is designed to capture the key measurable characteristics of a process or service whose performance standards must be met in order to satisfy the customer | Critical to quality metrics identified—length of stay, turnaround time for completion of triage, assessment, diagnostics, and decision to admit. Data availability for each metric |
| VOC | Voice of the customer: what the customer is looking for | Identified the needs of the customers—patient, emergency department team, and organisation |
| Gemba | Observation/understanding of where and how the work is done | Understand the process for scheduling elective orthopaedic surgery from surgeon’s consultation to surgery scheduled |
| FMEA | Failure mode and effect analysis is a risk analysis tool that is used to prevent an event from happening. It highlights the aspects of a process that should be targeted for improvement | Prioritises/highlights the aspects of the process that should be targeted for improvement |
| 5 S | Five steps of this methodology: sort, set in order, shine, standardise, and sustain. Used to create a clean, uncluttered environment | Agree on a minimum data set and layout for booking form |
| TIMWOODS | Acronym of transportation, inventory, movement, waiting, overprocessing, overproduction, defects, and skills. | Identification of waste in the process |
Figure 2SIPOC.
Figure 3“As it is processed” map.
Time taken to complete an online booking. Virtual Gemba descriptive statistics (n = 19).
| Variable | N | Mean | SE Mean | St. Dev. | Minimum | Q1 | Median | Q3 | Maximum |
|---|---|---|---|---|---|---|---|---|---|
| Time (HH:MM) | 19 | 25.68 | 6.94 | 30.23 | 0.00 | 0.00 | 22.00 | 50.00 | 96.00 |
Figure 4Time from OPD appointment to the scheduling of surgery.
Results from observing an online booking/as is process.
| Observations | Description | Reason |
|---|---|---|
| 37% ( | Surgeries were scheduled successfully at the first attempt | All information required to complete the booking was present |
| 26% ( | Rework of booking forms/surgeries was required | Rework was required due to: |
| 37% ( | Scheduling was unable to be completed at the first attempt as further information was required | It was noted that these were all abandoned within 5 min of commencing an online booking as patient services identified quickly when essential information was missing, and they were all completed successfully at the second attempt |
No incidence of changes to the OR schedule due to errors or omissions in the booking form was noted (n = 19).
Figure 5Duplication of work.
FMEA.
| Process Steps or Product Functions | Potential Failure Mode | Potential Effects of Failure | Severity (1–10) | Potential Cause(s) of Failure | Occurrence (1–10) | Current Controls | Detection (1–10) | Risk Priority Number (RPN) | Recommended Action |
|---|---|---|---|---|---|---|---|---|---|
| Consultant completes booking form | Incomplete booking form | Unable to process booking | 8 | Human error, | 10 | As referred to amend and resend no data recorded | 5 | 400 | Minimum data set completion |
| BCO ADMIN Complete online booking | Time | Delayed booking | 7 | Human error, | 10 | Scheduling checks all bookings | 6 | 420 | Correct procedure code and specific clinical information to minimise rework |
| Bookings team Complete MEDITECH | Time | 7 | Human error | 5 | Patient identification policy | 5 | 175 | Online booking SMART |
Lean 5 S.
| 5 S | Before | Target |
|---|---|---|
| Sort | Open-text medical history fields | Specific yes/no medical history fields to highlight high-risk patients |
| Set in order | Layout dependant on the chronology of when the field was added | The layout reflects the flow of completion |
| Shine | Landscape format | Portrait format in line with the rest of medical record |
| Standardise | Sixteen different versions | One paper version which matches online |
| Sustain | No formal process for reviewing booking form to match users’ needs | Monthly review of forms |
Status pre- and post-intervention.
| Patient Services | Scheduling Team | |
|---|---|---|
| Pre-intervention | Receive form from consultant | Receive form from scheduling team |
| Post-intervention | Receive form from consultant | Receive form from scheduling team |
Figure 6As it should be process.
Time taken to complete an online booking.
| Variable | N | Mean | SE Mean | St. Dev | Minimum | Q1 | Median | Q3 | Maximum |
|---|---|---|---|---|---|---|---|---|---|
| Time (HH:MM) | 30 | 16.775 | 0.324 | 1.775 | 14.440 | 15.430 | 16.270 | 17.383 | 20.580 |
Figure 7Time from OPD appointment to the scheduling of surgery.