| INFORMATION ABOUT THE PROJECT | |
|---|---|
| Project acronym | SICS |
| Public project title | Smart Intraoperative Clinical Surveillance |
| A one-line project description | SICS Consortium develops an AI-powered clinical decision-support system that predicts intraoperative complications and supports anaesthesiologists making timely and accurate decisions during a surgical operation. |
| Project description | We envision developing an intraoperative clinical decision-support system (CDSS) which integrates all available patient’s health data and generates a real-time risk analysis including trajectory predictions of all relevant organ-functions for the treating physicians as easily readable feedback using AI models. Such a system would act as an early-warning and real-time decision-support tool, driven by the characteristics of the individual patient, therefore enhancing patient safety and treatment quality and outcome. We will combine the intraoperative data with the electronic health record (EHR) information of the individual patient in order to create a digital representation, or a digital twin. Based on this we will enhance our strategy towards a proactive personalised intraoperative medicine framework for patients’ hemodynamic monitoring and therapy. In this way, the SICS proposal constructs a state-of-the-art clinical system that aggregates all the parameters towards a smart decision support, all with the aim to reduce complications and to improve short- and long-term outcome of our patients.. A technology that is being utilised to further optimise this system with intervention recommendations and upcoming complication explanation, which in turn will, act as an augmented clinician who is subjected to lifelong education and training. |
| INFORMATION ABOUT TEAM MEMBERS | |
|---|---|
| Team member #1 | |
| Name: | Ioannis Gkouzionis |
| One-line bio: | Ioannis is the CEO of Aisthesis Medical and his expertise lies in design and development of clinical research innovations from bench to bedside. |
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| Social media links: | https://www.linkedin.com/in/ioannisgkouzionis/ |
| Team member #2 | |
| Name: | Vasileios Dimakopoulos |
| One-line bio: | Vasileios is the CSO of Aisthesis Medical and has vast experience with project management and development for research and innovation. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/vassilis-dimakopoulos/ |
| Team member #3 | |
| Name: | Sotirios Liliopoulos |
| One-line bio: | Sotirios is the CTO of Aisthesis Medical and has extensive experience in design and development of AI-based research projects and products. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/sotirios-liliopoulos/ |
| Team member #4 | |
| Name: | Prof. Dr. Michel Struys, MD PhD |
| One-line bio: | Prof. Dr. Michel Struys is head of the department at the UMCG and has a long-standing experience in anaesthesiology, pharmacology, clinical trials and big data. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/michel-struys-0294b24a/ |
| Team member #5 | |
| Name: | Dr. Gertrude Nieuwenhuijs-Moeke MD PhD |
| One-line bio: | Dr. Gertrude Nieuwenhuijs-Moeke is an Assistant Professor at the department of anaesthesiology at the UMCG, she is a clinical anaesthesiologist and scientist and has wide experience in the execution of clinical trials and basic science projects. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/gertrude-nieuwenhuijs-moeke-44887120/ |
| Team member #6 | |
| Name: | Dr. Marjolein Haveman PhD |
| One-line bio: | Dr. Marjolein Haveman studied technical medicine and works as a Post doc at the Department of Anaesthesiology of the UMCG, she is involved in research projects regarding telemonitoring and use of wearables in medicine. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/marjolein-haveman/ |
| Team member #7 | |
| Name: | Kai van Amsterdam |
| One-line bio: | Kai van Amsterdam is a data scientist in the Department of Anaesthesiology at the UMCG, and has extensive experience in patient data retrieval and machine learning. |
| Team member photo |  |
| Social media links: | https://www.linkedin.com/in/kaivanamsterdam/ |
| INFORMATION ABOUT THE ENTITY | |
|---|---|
| Entity #1 | |
| Name | Aisthesis Medical |
| Country | Greece |
| Description | Aisthesis Medical is health technology startup company operating on the edge of digital surgical care by developing an AI-powered interconnected clinical decision-support platform for critical care. |
| Website | https://aisthesismed.com/ |
| Logo |  |
| Social media links | https://www.linkedin.com/company/aisthesis-medical/ |
| Entity #2 | |
| Name | University Medical Center Groningen |
| Country | The Netherlands |
| Description | The department of Anesthesiology at UMCG has a multidisciplinary data science team consisting of physicians, electronic engineers, pharmacometricists and biostatisticians, a technical medicine specialist in remote monitoring and a data scientist, as well as high performance computer infrastructure to manage both clinical and scientific data warehousing. |
| Website | https://www.umcg.nl/ |
| Logo |  |
| Social media links | https://www.linkedin.com/company/umcg/ |
