Courses

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

                             

Population Health Management Course, Epidemiology and Methods               

Population Health Management (PHM), Epidemiology and Methods aims at improving basic insight and first hands-on experience in epidemiology and statistical methods needed to embark on evidence based risk assessment, empanelment and prediction. Study design and comparative measures: causes and predictors will be discussed. We’ll use various case-studies to explore, demonstrate and exercise. By the end of the week each participant will be part of the presentation of a study concept that is developed during the course.

This course will be held from 15 till 19 October 2018                    

Population Health Management Course Health and Health Behaviour 

The goal of this week is to define and explain all the essential steps within a proactive health care policy for risk groups from a behavioral science point of view. The week will provide an overview of primary, secondary and tertiary prevention strategies. Each day, methods for screening, treatment and prevention will be discussed, illustrated with case examples. Furthermore, each day will focus on a different risk group with high potential for population health management. There will also be large attention to the practical execution of the introduced methods in clinical practice, with specific focus on creating awareness (among patients, health care professionals and policy makers) and increasing intention and motivation for behavior change. Each afternoon, this will be brought into practice during the ‘psychology lab’ assignments.

This course will be held from 19 till 23 November 2018               
       

Population Health Management Course Governance

Population Health Management Course Governance is about Health care professionals face ageing populations, rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. Integration of care requires more and more collaboration between professionals and organizations in health care networks. Apparent competing interests need to be aligned for the health of the individual and population. These developments go beyond every day practice and do require advanced competences in governance and organizational – and planning skills for health care professionals, management and leaders of related organizations.

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.