Skip to content. | Skip to navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Sections
Personal tools
You are here: Home Theses Implementation of Clinical Decision Support Services to Detect Drug Interactions using Clinical Quality Language

Contact

Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
Tel +49/241/8021501
Fax +49/241/8022321

How to find us

Annual Reports

Disclaimer

Webmaster

 

 

Implementation of Clinical Decision Support Services to Detect Drug Interactions using Clinical Quality Language

Thesis type
  • Master
Student Binh-Phi Nguyen
Status Finished
Submitted in 2019
Supervisor(s)
Advisor(s)

In the medical workplace, clinicians are surrounded with multiple distractions. One example could be using smartphones to perform tasks such as replying to email and accessing Internet-based resources. It leads to poor concentration and makes bad decisions. To improve clinical diagnostic decision making and patient safety, clinical decision support systems is developed by sending alerts in real time to the clinician about the current medication which has a potential impact to the patients, e.g. high overdose of aspirin.

Currently, most rules in the clinical decision support system are implemented in Drools which are not friendly to the clinician who has no background in computer science. Moving along these challenges, Clinical quality language is a good fit to provide a clinically focused, author-friendly and human-readable language to clinical domain experts. However, there is no real prototype implemented author-friendly rules in potential drug-drug interaction scenario.

In this thesis, we will discuss the current work in the clinical decision support system, clinical quality language, and potential drug-drug interaction scenario. Based on this, a prototype that provides a better clinical decision making and human-readable rules to clinical domain experts will be created and evaluated.

Document Actions