- Presentation by Michel Koeken (thesis student supervised by Pieter Van Gorp. Michel should graduate within one Month).
- Abstract and Focus Question for the session:
First I would like to introduce my master thesis. I am performing an analysis on the European tenders for the procurement of a HIS/EHR system in the Dutch academic hospitals. Such a European tender consists of 2000 questions which are made up by the academic hospital. Each supplier has to fill in all questions and for each question a supplier can gain points if they answer it correctly. In the end the academic hospital adds all gained points per supplier and the winner is the supplier with the highest score.
Each tender is divided into several subtopics and each subtopic consists of several questions. As you can gain points per questions and it is known how many questions belong to one specific subtopic it’s also known how many points can be gained per subtopic.
I have this information of three tenders and the aim is to identify the most important subtopics in order of points and how these most important subtopics changed over time. Unfortunately each tender used slightly different subtopics. To analyze how the most important subtopics changed over time we had to take one tender as reference and match the subtopics of the other two tenders with the subtopics of the reference tender. I used the Delphi method (in the first round the two experts matched the subtopics individually, and in the second round the experts and I sat together to find the correct matching) to match every subtopic with a subtopic of the reference tender.
The example in the presentation is a simplified example of three tenders, but with only 5, 4 and 3 subtopics per tender. The matching that is made is fictional and it’s only purpose is as an example. In this example Tender A is the reference tender.
The question that we have is how we should present the results? Which trend analysis can be used and how should this be performed?
- Draft slides: IS-HEART MK