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Data Science in Perioperative Care
The Department of Anaesthesiology and Operative Intensive Care Medicine of the Charité is one of the largest in Europe. More than 66,000 anesthetic are performed and 26,000 ICU patients are treated per year - with an ever growing stream of clinical data being recorded in the Electronic Health Record (EHR).
The multidisciplinary working group on “Data Science in Perioperative Care”, led by PD Dr. med. Dr. rer. nat. Felix Balzer, anesthesiologist and computer scientist aims to enhance clinical utilization of this data stream to improve patient safety and the quality of healthcare delivery.
- Facilitation of personalised medicine by developing predictive models and AI systems for clinical decision support for the treatment of critically ill patients.
- Moving towards value-based healthcare: meaningful use of EHR for patient centered care with focus on clinical quality, resource utilisation, and clinical practice improvement.
- Implementation of the concepts of internet of medical things and ubiquitous computing to ensure accessibility of data relevant to medical decision through clinical workflows, leading to a targeted provision of information on an as-needed basis.
- Establishment of remote monitoring devices (wearables) for perioperative Fast-Track Protocol avoiding prolonged ICU stay
- Development of medical applications that use standards such as Fast Healthcare Interoperability Resources (FHIR) to link to existing EHR systems to support interdisciplinary Health Information Exchange and Health Information Interoperability in the perioperative setting.
- Research in medical user-experience and sociotechnical factors of human-machine interaction to enable fast and efficient information transfer between human and machine in a high-reliability setting such as the ICU or OR
Our working group comprises interdisciplinary experts with a background in anaesthesiology, intensive care medicine, psychology with a focus on high-stakes decision making and decision support, medical product development and implementation into clinical workflow, medical UX design, data visualisation, biomedical data management and analysis, and machine learning.
By complete utilisation of the current clinical data stream and by enhancing human-machine interaction to the next level, our goal is to ameliorate the quality of perioperative care, to foster rapid and lasting recovery from surgery.
Staff Acceptance of Remote Patient Monitoring on ICU (SARPI): an observational study with accompanying ICU staff survey
The aim of the study is to evaluate the user acceptance of a remote patient monitoring system (VitalSync, Medtronic) as part of its implementation on a PACU (Post-Anesthesia Care Unit).
Remote monitoring technology significantly changes the work profile of ICU staff and largely determines the characteristics of their workflow. Therefore, research of the integration of remote patient monitoring into the daily work routine in the ICU can not only provide meaningful results related to the specific technology, but can also show how technological advances influences medical practice in general.
The SARPI study is intended to contribute to the optimal exploitation of the potential of new digital infrastructures in the future and to create the conditions for a sustainable technology transfer (initiating the development and implementation of new technologies in the perioperative environment).
The continuous re-evaluation of the remote patient monitoring technology by the end users, enables its continuous optimization in terms of a user-centred development. Qualitative research methods such as guideline-based interviews and quantitative methods in the form of standardised online questionnaires are used for this purpose.
Poncette, Akira-Sebastian, Claudia Spies, Lina Mosch, Monique Schieler, Steffen Weber-Carstens, Henning Krampe, and Felix Balzer. “Clinical Requirements of Future Patient Monitoring in the ICU: A Qualitative Study.” JMIR Medical Informatics, December 23, 2018. https://doi.org/10.2196/13064.
Research to Market Challenge: Research-based business idea of the AG Data Science in Perioperative Care receives award
An interdisciplinary team of physicians, computer scientists, user experience researchers and psychologists from the Department of Anaesthesiology and Intensive Care Medicine CCM/CVK, and the Department of Geriatrics and Geriatrics of the Charité-Universitätsmedizin Berlin has developed the Augmented Reality Cockpit for Anaesthesiology and Intensive Care Medicine (ARCAI). ARCAI, which was submitted under the leadership of Dr. Akira-S. Poncette and Dr. Johannes Starlinger, provides interactive and demand-oriented information about intensive care patients, for example about their blood pressure or oxygen saturation in the blood. The tool should also help to analyse the tendency of vital data and to support decisions at the hospital bed in the intensive care unit and in anaesthesiology with predictions. In the "Digital" category, ARCAI received the second prize worth 1,000 euros. With the prize money, the ARCAI team can now test the previous models and concepts with augmented reality glasses in an intensive care environment.
The competition was open to students, graduates, doctoral students and scientific staff from all departments of the Charité and the three major Berlin universities. Their business idea had to have a clear relation to the participants' field of work and be put into practice. The concepts were evaluated by a jury with regard to innovative content, research relevance, feasibility and customer benefit.
The participating scientists of the Charité were: Prof. Dr. Dr. Felix Balzer, Dr. Niklas Keller, Dr. Akira-Sebastian Poncette, Dr. Johannes Starlinger and Dr. Anika Steinert. Further information on the winners can be found here.
Members of the group
- Prof. Dr. med. Dr. rer. nat. Felix Balzer
- Dr. med. Oliver Birkelbach
- Dr. med. Lukas Dehe
- PD Dr. med. Falk von Dincklage
- Dr. med. Oliver Hunsicker
- Dr. rer. nat. Niklas Keller
- Dr. med. Oliver Kumpf
- Dr. med. Rudolf Mörgeli
- PD Dr. med. Bruno Neuner
- Dr. med. Akira-Sebastian Poncette
- Dr. med Matthes Seeling
- Univ.-Prof. Dr. med. Claudia Spies
- Dr-Ing. Dr. med. univ. Johannes Starlinger
- Prof. Dr. med. Sascha Treskatsch
- Dr. med. Gerald Vorderwülbecke
- Dr. med. Björn Weiß
Prof. Dr. med. Dr. rer. nat. Felix Balzer
AG Data Science in Perioperative Care
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