Creating a Bayesian model to explore interactions between medical conditions and six possible treatment options using HemoGuide and the Intensive Care Unit Cockpit.
Belgium (BeMSA) - Vrije Universiteit Brussel VUB, Brussels
Internal Medicine
Intensive Care Unit
Prof. Dr. Manu Malbrain & Prof. Dr. Elisabeth De Waele
Prof. Dr. Manu Malbrain & Prof. Dr. Elisabeth De Waele
English, French, Dutch
4 weeks
Cities/Months Jan Feb Mar Apr May Jun Jul Augt Sep Oct Nov Dec
No No No No No No Yes Yes No No No No
Type of Research Project
- Clinical Project without Laboratory work
What is the background of the project?
In critically ill patients admitted to the intensive care unit (ICU) after severe sepsis, trauma or surgery, every one or two hours a magnitude of physiological parameters are measured and validated by the ICU nurse. They cover a large spectrum from basic monitoring (with heart rate and blood pressure, etc.) to advanced hemodynamic monitoring (cardiac output, lung water, etc.), respiratory and renal parameters, fluid management, to specific devices like extracorporeal membrane oxygenation and intra-aortic balloon pumps. All these devices generate parameters with alarm settings. The total number may easily mount up to 150! This is simply too much too handle for the human brain. The idea behind the ICU cockpit (in analogy to the cockpit of an airplane) and Hemoguide medical app (in analogy to AvioBook) is to analyse all these parameters (web-cloud based) and to advice the ICU physician, medical trainee or student with a possible therapeutic suggestion. However, never with the intention to replace the doctor. The information would be presented on a graphical user interface via a smartphone, tablet or PC. With the collection of new validated data, the artificial intelligence of the Hemoguide support system may grow over time. The Hemoguide app and accompanying website could also be used for educational purposes for medical and nursing students and doctors and nurses.
What is the aim of the project?
The aim is to determine how a large variety of measurements obtained in intensive care can be used to detect anomalous behaviour and predict relevant outcome (= therapeutic decision)
What techniques and methods are used?
At this point it still needs to be established how the measurements are related, what the criterion of interest is, how and how well different criteria can be predicted and how the resulting process can be automated. Step 1: The student collects the patient’s data via the ICU cockpit and hemoguide medical app on a tablet/smartphone/PC - Step 2: The student presents the patient’s data to the ICU physician treating this patient - Step 3: The student checks with the ICU physician which therapy he/she would give the patient - Step 4: The student submits the therapeutic suggestion of the ICU cockpit and hemoguide medical app to the ICU physician to see if the physician would adjust his/her proposed therapy in accordance with the therapeutic suggestion of the computer programmes
What is the role of the student?
- The student will observe the practical experiments but will be highly involved in the analysis of the results
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
- Presenting hemodynamic parameters to assistants to intensivists; - Survey the policy of the assistants and intensivists: more/less fluid, start/stop vasopression, Start/stop inotropy (=elevation of the contraction force of the heart muscle) of combination of therapy; - Submit the policy proposal of the computer to the assistant or intensivist and ask if their policy would change with this new information;
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
Preliminary readings will be provided to the student: The Intensive Care Unit Cockpit Prof.Dr.Manu Malbrain Intensive Care University Hospital Brussels (UZB) Faculty of Medicine and Pharmacy Vrije Universiteit Brussels (VUB)
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a presentation
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
• Skills required: Decent English knowledge, basic knowledge of Excel, filling in questionaires that will be provided, input of data in a database, basic knowledge of statistics (statistic tests), knowledge of Powerpoint • Subjects passed: statistics and epidemiology • Previous experience with: data-analysis in excel
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts:
- Medical students
- Miller GA: The magical number seven plus or minus two: some limits on our capacity for processing information. Psychol Rev 1956; 63(2):81-97.