Case study
Dodes
Problem definition and goal
A medical guideline is a document with the aim of guiding decisions and criteria regarding diagnosis, management, and treatment in specific areas of healthcare. These guidelines are updated regularly and are often in the form of “free text” documents.
A healthcare provider is obliged to know the medical guidelines of his or her profession and must decide whether to follow the recommendations of a guideline for individual treatment. It is important to find a way to promote the newest guidelines and draw attention to possible diverges between the guidelines and widespread practice.
Prof. Dr. Paul Martin Putora proposed a method to document the decision-making process in a structured way. He used the decision tree notation that condensed the information in a very efficient and readable way and also allowed to compare the decision-making process between different healthcare providers.
Challenges
Terminology unification
Comparison trees
Huge state-space
Data presentation
Solutions

Terminology unification
Comparsation trees

Huge state-space
Data presentation
Dodes facts
Domain
Medical
Technologies
Java, MySQL, Spring stack, REST, VUE, VueUEtify, Apache Solr, Docker, Kubernetes
Core competences
Data analytics, Data visualisation, Microservices
Awards
Dodes have been used in many studies, some of which have been funded by the biggest pharma companies like Roche and Genzyme.
The results of these studies were published in Neurosurgery, in an article called “Patterns of Care and Clinical Decision Making for Recurrent Glioblastoma Multiforme” which you can read here: https://academic.oup.com/neurosurgery/article/78/2/N12/2453749.
The reviewers are stating: “The authors are to be congratulated for identifying core clinical decision-making criteria that may be useful in future studies of recurrent GBM. This decision tree is an excellent reference for clinical trial development, and several active clinical trials already target the DODEs identified in this study.”
This especially credits the authors of the study around Prof. Dr. Paul Martin Putora but also proves the quality of our tool and its usability in discovering optimal treatment strategies.