Course by tag

Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health benefit (failure due to lack of clinical utility).

Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the bedside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health benefit (failure due to lack of clinical utility).

Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide you to steward your clinical data to aid data science developments, facilitate collaborative research, comply with privacy regulations, and ensure data integrity and quality. Together we will put data stewardship in practice with clinical decision-making tools, predictive models, and Artificial Intelligence (AI).

Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide you to steward your clinical data to aid data science developments, facilitate collaborative research, comply with privacy regulations, and ensure data integrity and quality. Together we will put data stewardship in practice with clinical decision-making tools, predictive models, and Artificial Intelligence (AI).

"This course has without a doubt changed my perspective and understanding of healthcare, and all of us agreed that we felt more equipped to face the healthcare challenges that we may face in the 21st century" (student, 2022). This multi-professional course is intended for students in nursing, physiotherapy, medicine, allied health care workers, and many others fields, who want to develop new skills and work in an international context. The course is organised by the Institute for Nursing Studies and the Institute for Physiotherapy, UAS Utrecht. We will focus on themes as rehabilitation, technology, mental and social health, innovation and designing. These topics will be discussed in a multi-disciplinary working environment.

This course will inform you, from different perspectives, about the factors that keep older people healthy and enable them to continue to participate in society. We will focus on a better understanding of the aging process, the prevention of functional decline and preservation of autonomy. Different excursions will let you experience getting older. Prior to the course, you will be given an assignment to conduct a life review with an elderly person (65+) which will be presented during the course.

This summer course focuses on urgent topics in global health ethics and equity. With an enthusiastic team of experts from all over the world, the current major challenges to health equity in the world as well as potential solutions are discussed. This programme is a collaboration between the University Medical Center Utrecht and the Royal Tropical Institute. 

The course will provide insight in study design and analysis in pharmacoepidemiologic and drug safety research. Methodological issues are presented in the context of decision making on medicines. The course takes a multi-stakeholder perspective and applies educational approaches to facilitate interaction between these stakeholders among the participants. It is an intensive programme which covers many relevant topics concerning pharmacoepidemiology.

The aim of this course is to give students insight into current developments in pharmaceutical policy making as well to give a better understanding of the methods available for analysing the effects of policy interventions.