Roman Krumpholz, M.Sc.
- Diagnostic telemedicine
- Assistance systems in surgery
- Additive manufacturing of surgical instruments
The goal of the project is the further development of the minimally invasive surgical platform "Single-Port Overtube" (SPOT) and its seamless integration into clinical procedures. This is to be achieved by a holistic view of the surgical treatment path from allocation to discharge.
Patient data collected in the course of the so-called patient characterization as well as a steadily growing archive of interventions performed in the past serve as a basis for planning upcoming surgeries. On this basis, predictions can be made regarding the complexity of the intervention, the expected duration of the operation, the required instruments, etc. The SPOT platform can also be customized for individual patients and procedures. Using 3D printing techniques, the desired manipulator can be produced and made ready for surgical use in the shortest possible time. The surgical team is supported intraoperatively by workflow recognition technology. Available signals from the operating room infrastructure - such as the laparoscopic video image, device statuses and sensor data streams - are analyzed using machine learning to automatically recognize the current situation in the OR. This forms the basis for the execution of context-dependent assistance functions, such as the display of situational information on the OR monitor or the partially autonomous control of medical equipment. Other assistance functions such as semi-autonomous tracking of the endoscopic camera and collision avoidance between the SPOT platform and people are also part of the concept. Postoperatively, all complications and incidents that occurred during the discharge of the patient are included in the final report and archived. This in turn serves as a basis for future cases.
In the COVID 19 crisis, the health care system bears a great deal of responsibility. Medical personnel are exposed to increased risks in the treatment of potentially infected patients, which must be mitigated: for personal protection, to interrupt infection chains and to avoid cross-infections.
In the ProteCT project, robotic telediagnostics will enable medical personnel to examine patients from a safe distance. This is to be made possible by a sensitive, robotic telediagnostic system. Doctors will be able to use telepresence to hold discussions and examine patients. The system also allows the collection of basic diagnostics (measurement of vital parameters such as temperature, blood pressure, pulse, oxygen saturation, etc.). As a critical measure in COVID-19 cases, the possibility of an oropharyngeal inspection is also being developed. The diagnosis is performed by mobile and flexible control stations.
In addition to system development, this project will investigate how telediagnostics can be made simple and effective. Once the system has been tested in a clinical study, the ProteCT system can help to maintain the health care system's ability to provide care even in crisis situations caused by epidemics:
- Werner, Valerie; Krumpholz, Roman; Rehekampff, Christoph; Scherzer, Tim; Eblenkamp, Markus: Thermoplastic Encapsulations of a Sensor Platform by High-Temperature Injection Molding up to 360°C. POLYMER ENGINEERING AND SCIENCE, 2019, pp. 1315-1331, DOI: 10.1002/pen.25114