Jaarlijks organiseert LUMC-Campus Den Haag summercourses, wintercourses en werkconferenties. Hieronder vindt u een actueel overzicht van de cursussen. 

5de Werkconferentie LUMC Campus Den Haag

Deze conferentie richt zich op projecten rond innovatie en onderzoek in de publieke gezondheidszorg in de regio Den Haag. Keynote speakers zijn Stephen Sutch, Dr. PH, MAppSc van de John Hopkins Bloomberg School of Public Health en Prof, dr. Jet Bussemaker, van LUMC/ FGGA Campus Den Haag. 

Tijdens de bijeenkomst op de LUMC Campus Den Haag wordt ingegaan op gezondheidsvraagstukken- en projecten in de regio Den Haag. Wilt u meer weten over hoe we onderzoek laten aansluiten op de actuele transitie in de zorg? Meld u dan nu aan!

De werkconferentie is voor: zorg- en welzijnprofessionals, huisartsen, medisch specialisten, onderzoekers,  beleidsmakers, studenten, en u! 

De cursus wordt gehouden op 15 januari 2019

Population Health Management Course Governance   

For policymakers, health care managers, health care professionals and master students interested in healthcare governance from a Population Health Management perspective:

How can you organize care in such a way that you optimize the experience, quality and costs of care? What type of governance is needed? And how should organizations collaborate in a care network? 

The course focusses on the impact of three crucial global shifts in health care governance: the focus change from cure to population health, the attention to social determinants of health and the involvement of numerous healthcare organizations in service delivery. 

This course is unique in combining the Population Health perspective with theories of healthcare system governance. Often, the governance of care is evaluated from an organizational perspective, for instance in-hospital care interventions, missing the impact at national or even at global levels. In this multi-level course, the participant will gain insights in the healthcare governance of the entire healthcare system: from global and national level, to networks of organizations, to individual care organizations, and finally, to the healthcare professional. All these actors should function well to optimize accessible, affordable and high quality of care. To attain these goals, specific managerial network skills and leadership are required. 

This course will be held 17 till 21 December 2018     

Population Health Management Course Responsible Data Analysis

PHM requires evidence, which is often based on analysis of empirical, population-based data. Solid analysis based on various public health statistics and clinical indicators need to be carried out. This requires a thorough understanding of epidemiological and statistical concepts. In this course students will learn the pros and cons of various statistical methods. We will focus on choosing the appropriate methods, corresponding to the research questions, discuss how these methods can be carried out and the interpretation of the results. This week will be a mixture of theory and applications.

This course will be held from 21 till 25 January 2019

Population Health Management Course Advanced Governance and Health Economics 

PHM requests new forms of governance between professionals and between organisations, as well as in the regulatory mechanisms. Often networks are the next organisational form that is shown in health care. These networks form their own new forms of governance. Latest insights in the organisational and financial arrangements between professionals, organisations, payers and policy makers are taught and discussed. 

This course will be held from 18 till 22 February 2019

Population Health Management Course Syndemics

Syndemic theory has been exponentially applied and further developed public and global health for a wide diversity of topics. In this module students will gain knowledge of syndemic theories and how to operationalise these in research and interventions.

This course will be held from 18 till 22 March 2019.

Population Health Management Course Advanced Risk Stratification        

Diagnostic and prognostic models are increasingly published in the medical literature each year. But are the results relevant for decision making in practice? How can models be used for risk stratification in populations? What are the critical elements of a well-developed diagnostic or prognostic model? How can we assume that the model makes accurate predictions for our population, and not only for the sample that was used to develop the model (generalizability, or external validity)? Are big data and advanced statistical techniques the solution for the problem of poor generalizability?

In the course we will address these and other questions from an epidemiological, statistical and decision-making perspective, using examples from the clinical literature. The participants will be encouraged to participate in interactive discussions and in practical computer exercises, starting with basic approaches and extending to advanced modeling.

Acquire both theoretical and practical knowledge on advanced methods in model development and validation, specifically on regression modelling.

This course will be held from 6 till 10 May 2019.     

Population Health Management  Course Advanced Panel Management in Health Care                      

For the first time we offer a full week “Advanced Panel Management”, which is meant to present a full oversight as well as an in –depth exploration of what is the background and what is needed to develop an effective risk based population approach in healthcare. This week aspects of panel management will be studied and carried out following a change of subject every day, illustrated and demonstrated by various experts in the field. The process of empanelment based on risk assessment following classic epidemiological analysis or based on datamining results, what evidence is available for effective implementation with what kind of risk groups, what kind of preconditions are needed, how can panelmanagement be put into practice and who should be in the lead. This course is designed to help you to incorporate everything that has been learned in the proceeding courses.

This course will be held from 3 till 7 June 2019.