Summary
Join us for this free Morning Coffee Course. If you attend in person, we'll welcome you with coffee and breakfast between 8:30 and 9:00. The lecture starts at 9:00.
The increased focus on personalised medicine means new technologies are continuously being developed to support your clinical decision-making process, helping patients receive treatment tailored to their individual needs. For this to happen, the technology must meet several requirements:
- The technology must automatically solve its assigned task, typically generating information relevant for clinical decisions.
- You need to be able to implement it into routine treatment of a defined patient population, with real-time information delivery when decisions need to be made.
- The information generated must lead to differentiated treatment of patients based on their specific characteristics.
- Most importantly, the technology and resulting personalised treatment must improve patient outcomes compared to standard approaches.
You'll learn the necessary framework for building convincing evidence for each of these criteria.
This course distils the essential content from a popular six-day course that Danish universities offer to academics who want to become a master in personalised medicine.
Keywords
- Personalised Medicine
- Developing evidence
- Clinical decision-making process
- Differentiated clinical treatment
- Automated workflow optimisation
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Course leader & lecturers
- Jens LundgrenCourse leaderProfessor
University of Copenhagen
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Is this course for you?
This course is for you if you work in a small or medium-sized life science company and develop or introduce technologies that support clinical decision-making or optimise workflows through automation in healthcare.
You should note that we don't focus on the technical methods behind the automation, but rather on proving your technology's clinical effectiveness and its contribution to healthcare efficiency.
You will learn to:
- Describe how to develop robust evidence for medical interventions in patient care.
- Address the unique challenges in validating personalised treatments and technologies that automatically support clinical decisions.
- Quantify the benefits your technology brings to healthcare systems in relation to the investment required.
- Analyse and critically evaluate evidence developed in this field.
- Communicate these complex relationships effectively to patients, colleagues and other professionals.
What your company will get
- An employee with practical knowledge of evidence-building processes that can be applied directly to your company's work.
- Deeper understanding of healthcare providers' actual needs and expectations when implementing new clinical decision-support tools
Course calendar
Day 1
- 08.30-09.00: Coffee and breakfast
- 09.00-12.00: Lecture (including breaks)
Registration
Registration deadline23 Aug 2025
Lersø Parkallé 101
2100 København Ø
Course information
Literature
You'll receive access to all course materials—both essential and supplementary readings—through your personal Atrium log-in before the course begins.
Examination
There is no examination for this course.
Course leader
University of Copenhagen
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Want to know more, or need help?
Contact Client Manager Louise V. Petersen at +45 40 44 99 43