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2722. Mathematical Programming for Scheduling Telemedicine Appointments
Invited abstract in session TB-15: Appointment planning, stream OR in Health Services (ORAHS).
Tuesday, 10:30-12:00Room: 18 (building: 116)
Authors (first author is the speaker)
| 1. | Charlotte Marshall
|
| Cardiff University | |
| 2. | Daniel Gartner
|
| School of Mathematics, Cardiff University | |
| 3. | Geraint Palmer
|
| School of Mathematics, Cardiff University | |
| 4. | Paul Harper
|
| School of Mathematics, Cardiff University | |
| 5. | Alka Ahuja
|
| TEC Cymru | |
| 6. | Gemma Johns
|
| Tec cymru |
Abstract
With telemedicine coming to the forefront during the COVID-19 pandemic, flexibility in terms of modes of care delivery has emerged. We are working with a partner within NHS Wales, TEC Cymru, who worked to rapidly implement video consultations within Wales during the pandemic and continue to promote the use of telemedicine in Wales. In this paper, we consider the scheduling of patients’ appointments via three different modes of delivery: traditional face-to-face, video conferencing platforms, and telephone. The solution of the model not only has an impact on satisfying patient and clinician preferences, but also could potentially reduce travel for patients and staff. We model the problem as a multi-mode resource constrained project scheduling problem, with the aim of maximising patient and clinician preferences for delivery method. Two model formulations are presented to solve this problem. The first assigns appointments to timeslots while the second formulation assigns an ordering of appointments. We compare these two models, evaluating which is more useful in different scenarios.
Keywords
- Health Care
- Scheduling
Status: accepted
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