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PhD position: "A Systems Approach to Optimize Healthcare Delivery through Point-of-Care Diagnostic Testing in Primary Care"Specifications
Natural Sciences, Engineering, Health
38.0 hours per week
€ 2191 - € 2801
University of Twente (UT)
The PhD project has multiple objectives:
1. Analyze medical prescription and referral patterns for several (chronic) conditions from primary care to other hospital based facilities, with regard to over- and underutilization of healthcare resources;
2. Develop a dynamic simulation model to predict and optimize referral decisions from a primary care perspective;
3. Apply statistical methods to mine hospital and primary care data to populate the dynamic simulation model;
4. Study and formally define the behavior and interaction of "agents" in the care delivery pathway and identify and describe reasons for adherence or deviation from practice guidelines on POCT use;
5. Estimate the health economic impact of implementing Point-of-Care diagnostics in primary care from a systems perspective, acknowledging the interactions between agents in the system.
Datasources and collaboration
The project requires access to extensive, high-quality data sources. Therefore, a structural collaboration has been established with centers of reference, such as the University of Manchester, Jeroen Bosch ziekenhuis and the Netherlands Institute for Health Services Research (NIVEL).
The PhD student is expected to work with different centers of reference and academic institutions. The primary supervision will be provided by prof. IJzerman and dr. Koffijberg (UTwente), prof. Van Marwijk and prof. Peek (University of Manchester, UK) and prof. Kusters (Jeroen Bosch Ziekenhuis/UTwente).
The position is open to highly qualified people with a background in statistics, operations research, industrial engineering, health sciences/epidemiology or econometrics. As the project requires complex analytical skills, the ideal candidate should have sufficient skills to analyze big data sets and apply advanced statistical and modeling methods.
Application and more information
To apply for this position, please use the link below and include your cover letter, resume and list of publications before 26 February 2017. For more information on this position please contact professor Maarten IJzerman (email@example.com) / +31 53 4893684 or dr. Erik Koffijberg (firstname.lastname@example.org / +31 53 489 5384.
More information about the department Health Technology & Services Research is available from the website: https://www.utwente.nl/bms/htsr/
Conditions of employment
We offer a very challenging fulltime position for four years in an inspiring multidisciplinary and international environment. In accordance with the Collective Labour Agreement for Dutch Universities (CAO NU) the gross monthly salary ranges from € 2.191,- in the first year to € 2.801,- in the fourth year. Additionally, the University of Twente provides excellent facilities for professional and personal development, a holiday allowance and an end-of-year bonus, and a number of additional benefits. Your main responsibility will be to carry out research, but you will be given the opportunity to acquire some teaching experience as well.
The University of Twente. We stand for science and technology, high tech, human touch, education and research that matter. New technology which drives change, innovation and progress in society. The University of Twente is the only campus university in the Netherlands; divided over five faculties we provide more than fifty educational programs. The University of Twente has a strong focus on personal development and talented researchers are given scope for carrying out pioneering research. The Faculty of Behavioural, Management and Social Sciences strives to hold a leading position in their fields in relation to the science and technology research programs of the University of Twente. In all these fields, the faculty provides bachelor, master and professional development programs.
Faculty of Behavioural, Management and Social sciences
The Faculty of Behavioural, Management and Social sciences (BMS) strives to play a pivotal role in understanding, co-engineering and evaluating innovation in society. Innovation is driven by advances in technology. Through ’social engineering’ these technological advances are embedded in society befitting human needs and behaviour, within proper public and private management and business structures. For this the faculty of BMS upholds high quality disciplinary knowledge in psychology, business administration, public administration, communication science, philosophy, educational science and health sciences. All with a focus on the challenges in society. Research is strongly connected to our Institutes on Governance (IGS), ICT (CTIT), Health (MIRA) and Nanotechnology (MESA+).