Multi-physics Modeling the Physiology of a Patient in Critical Condition
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Patient Care in ICU
- Sponsor
- Assistance Publique Hopitaux De Marseille
- Enrollment
- 1000
- Locations
- 1
- Primary Endpoint
- Correlation between high blood pressure measurement during the first 24h in ICU and number of patient alive at 28 days post ICU
- Last Updated
- 9 years ago
Overview
Brief Summary
The environment of the ICU and operating room allows the multi continuous monitoring of patients in critical situations. The physician anesthesiologist is working more and more in an environment where he receives a multitude of information from both the patient's medical history but also measured data in real time to its physiological situation. It is sometimes difficult for practitioners to consider all of the information by identifying a course of action. A decision support and a degree of automation can increase security along the lines of what has been observed in many processes and industries like aviation.
The goal of this project is to establish initially a database of physiological parameters. We want to use patient data to model physiological processes in order to advance towards the creation of "physios" program,
Investigators
Eligibility Criteria
Inclusion Criteria
- •Patient in intensive care unit ward
Exclusion Criteria
- •Patient or familly refusing participating to the study
Outcomes
Primary Outcomes
Correlation between high blood pressure measurement during the first 24h in ICU and number of patient alive at 28 days post ICU
Time Frame: 28 days