Do you want to solve a complex scheduling problem by using your optimization skills?
Highly Specialized Pain Rehab Clinic at Danderyds hospital aims at improving its scheduling process in order to save staff’s time while meeting both patient and personnel preferences. We are looking for those of you who want to take this unique opportunity to help them optimizing their scheduling.
Pain is one of the most common reasons a patient sees a doctor. Most of the time, pain doesn’t last long and is quickly forgotten. Unfortunately, for some patients the pain does not pass. Their body keeps hurting for weeks, months, or even years. The Highly Specialized Pain Rehabilitation Clinic at Danderyds sjukhus offers a rehab program where a team of physicians, nurses, physiotherapists, psychologists, social workers and occupational therapists offers individual and group treatments to provide coping strategies to regain control over the patient’s life again.
The multidisciplinary approach used for this patient group requires solving a complex scheduling problem in order to combine the interventions performed by each of the professions and to allocate time for individual assessment of potential patients prior to entry into the program.
The goal is to improve scheduling routine in order to reduce the time spent from the staff in scheduling and allow fast rescheduling when needed. The project has been selected by a reference group from the clinic and is supported by both staff and management.
- Understand the current planning process of the rehab program
- Review previous approaches used for staff scheduling
- Obtain staff preferences for specific days for patient assessment
A one-time skeleton of schedule with an optimized scheduling suggestion that accommodates staff preferences while maintaining important clinical constraints.
We are looking for 1 student preferably in mathematics or optimization. Swedish language is not required, but it is a plus, as you will interact with staff in the clinical environment.
The thesis is intended to start as soon as possible, at the latest January 2018, until May 2018. You will, in addition to your academic supervisor, receive a supervisor from Clinical Innovation Fellowships (CIF). CIF is a joint initiative of the Royal Institute of Technology (KTH), Karolinska Institutet (KI), and EIT Health, inspired by, and in cooperation with, Stanford University. The project requires a few visits to Danderyds hospital, in Stockholm.
Mail (in English) your CV and motivation letter with at least one reference to firstname.lastname@example.org. Add ‘Application Scheduling’ as a subject line. Deadline for application is 30/11/2017. We will begin screening applicants immediately and will continue to accept applications until the position is filled. Please do not hesitate to contact us if you have any questions about the project and/or the application process.
We look forward to your application!