MIDIM

Munich Institute

of Digital Medicine

Research & Projects

KIPeriOP

Scientific project funded by the Hessian Ministry of Labor, Social Abairs, and Health to develop a Clinical Decision Support System (CDSS) for evidence-based management of perioperative anticoagulation. The project involved a multicenter study demonstrating that the CDSS significantly improved the identification of evidence-based treatment approaches in perioperative settings.

KiPeriOP

Research project funded by the German Federal Ministry of Health (BMG) with the aim of improving perioperative risk management and reducing perioperative mortality and harm to patients. An AI-based Clinical Decision Support System (CDSS) was developed to visualize individual patient risks in the perioperative setting and improve guideline-adherence of the preperative management of surgery patients.

www.KIPeriOP.de

TelePeriOP

Follow-up project to KIPertiOP, funded by the German Federal Ministry of Health

(BMG). The aim of TelePeriOP is to develop and evaluate a hybrid, digital-virtual patient-doctor

interaction before elective surgery. Patient data is collected from home via a patient app without

the need for a physical visit to the hospital. This is supplemented by a telemedical conversation

with the anaesthetist, in which the patient is informed about the anaesthetic and the operation.

Clinical Quality Pilots

Testing PSQS and requirement-based quality measurement in practice.

Partnerships & Collaborations

The University Hospital of Würzburg is a leading academic medical center in Germany, dedicated to excellence in patient care, advanced medical research, and the training of future healthcare professionals.

Fraunhofer Institute for Digital Medicine MEVIS conducts applied research in medical imaging, data science, and digital health, providing innovative solutions to support clinical decision-making and personalized medicine.

Charité – Universitätsmedizin Berlin is one of Europe’s largest and most prestigious university hospitals, internationally recognized for its high-impact research, outstanding medical education, and comprehensive healthcare services.

The Technical University of Munich is a world-class research university committed to excellence in science and engineering. With strong expertise in medicine and life sciences, TUM fosters innovation at the intersection of technology and healthcare.

Publications

  • Boerm, P. (2021) ‘Guideline-based clinical decision support – requirements for evidence-based decision support systems’, OP-Journal, 37, pp. 1–9. doi:10.1055/a-1284-3193.
  • Buchner, L.M., Park, E.J., Bendz, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Buchner, L., Boerm, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Meybohm, P., Ghanem, A., von Dincklage, F., Boerm, P. (2023) ‘Digital guidelines of the 21st century’, Anaesthesiologie. doi:10.1007/s00101-023-01310-3.
  • Meybohm, P. (2024) ‘AI-augmented perioperative clinical decision support (KIPeriOP) – study design and initial interim results’, Anasthesiologie und Intensivmedizin, April. doi:10.19224/ai2024.156.

MIDIM

Munich Institute

of Digital Medicine

Research & Projects

KIPeriOP

Scientific project funded by the Hessian Ministry of Labor, Social Abairs, and Health to develop a Clinical Decision Support System (CDSS) for evidence-based management of perioperative anticoagulation. The project involved a multicenter study demonstrating that the CDSS significantly improved the identification of evidence-based treatment approaches in perioperative settings.

KiPeriOP

Research project funded by the German Federal Ministry of Health (BMG) with the aim of improving perioperative risk management and reducing perioperative mortality and harm to patients. An AI-based Clinical Decision Support System (CDSS) was developed to visualize individual patient risks in the perioperative setting and improve guideline-adherence of the preperative management of surgery patients.

www.KIPeriOP.de

TelePeriOP

Follow-up project to KIPertiOP, funded by the German Federal Ministry of Health

(BMG). The aim of TelePeriOP is to develop and evaluate a hybrid, digital-virtual patient-doctor

interaction before elective surgery. Patient data is collected from home via a patient app without

the need for a physical visit to the hospital. This is supplemented by a telemedical conversation

with the anaesthetist, in which the patient is informed about the anaesthetic and the operation.

Clinical Quality Pilots

Testing PSQS and requirement-based quality measurement in practice.

Partnerships & Collaborations

The University Hospital of Würzburg is a leading academic medical center in Germany, dedicated to excellence in patient care, advanced medical research, and the training of future healthcare professionals.

Fraunhofer Institute for Digital Medicine MEVIS conducts applied research in medical imaging, data science, and digital health, providing innovative solutions to support clinical decision-making and personalized medicine.

Charité – Universitätsmedizin Berlin is one of Europe’s largest and most prestigious university hospitals, internationally recognized for its high-impact research, outstanding medical education, and comprehensive healthcare services.

The Technical University of Munich is a world-class research university committed to excellence in science and engineering. With strong expertise in medicine and life sciences, TUM fosters innovation at the intersection of technology and healthcare.

Publications

  • Boerm, P. (2021) ‘Guideline-based clinical decision support – requirements for evidence-based decision support systems’, OP-Journal, 37, pp. 1–9. doi:10.1055/a-1284-3193.
  • Buchner, L.M., Park, E.J., Bendz, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Buchner, L., Boerm, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Meybohm, P., Ghanem, A., von Dincklage, F., Boerm, P. (2023) ‘Digital guidelines of the 21st century’, Anaesthesiologie. doi:10.1007/s00101-023-01310-3.
  • Meybohm, P. (2024) ‘AI-augmented perioperative clinical decision support (KIPeriOP) – study design and initial interim results’, Anasthesiologie und Intensivmedizin, April. doi:10.19224/ai2024.156.

MIDIM

Munich Institute

of Digital Medicine

Research & Projects

PeriCOAG

Scientific project funded by the Hessian Ministry of Labor, Social Abairs, and Health to develop a Clinical Decision Support System (CDSS) for evidence-based management of perioperative anticoagulation. The project involved a multicenter study demonstrating that the CDSS significantly improved the identification of evidence-based treatment approaches in perioperative settings.

KiPeriOP

Research project funded by the German Federal Ministry of Health (BMG) with the aim of improving perioperative risk management and reducing perioperative mortality and harm to patients. An AI-based Clinical Decision Support System (CDSS) was developed to visualize individual patient risks in the perioperative setting and improve guideline-adherence of the preperative management of surgery patients.

TelePeriOP

Follow-up project to KIPertiOP, funded by the German Federal Ministry of Health

(BMG). The aim of TelePeriOP is to develop and evaluate a hybrid, digital-virtual patient-doctor

interaction before elective surgery. Patient data is collected from home via a patient app without

the need for a physical visit to the hospital. This is supplemented by a telemedical conversation

with the anaesthetist, in which the patient is informed about the anaesthetic and the operation.

Clinical Quality Pilots

Testing PSQS and requirement-based quality measurement in practice.

Partnerships & Collaborations

The University Hospital of Würzburg is a leading academic medical center in Germany, dedicated to excellence in patient care, advanced medical research, and the training of future healthcare professionals.

Fraunhofer Institute for Digital Medicine MEVIS conducts applied research in medical imaging, data science, and digital health, providing innovative solutions to support clinical decision-making and personalized medicine.

Charité – Universitätsmedizin Berlin is one of Europe’s largest and most prestigious university hospitals, internationally recognized for its high-impact research, outstanding medical education, and comprehensive healthcare services.

The Technical University of Munich is a world-class research university committed to excellence in science and engineering. With strong expertise in medicine and life sciences, TUM fosters innovation at the intersection of technology and healthcare.

Publications

  • Boerm, P. (2021) ‘Guideline-based clinical decision support – requirements for evidence-based decision support systems’, OP-Journal, 37, pp. 1–9. doi:10.1055/a-1284-3193.
  • Buchner, L.M., Park, E.J., Bendz, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Buchner, L., Boerm, P., et al. (2022) ‘Evaluation of a clinical decision support system for the most evidence-based approach to managing perioperative anticoagulation’, Journal of Clinical Anesthesia, 80, 110877. doi:10.1016/j.jclinane.2022.110877.
  • Meybohm, P., Ghanem, A., von Dincklage, F., Boerm, P. (2023) ‘Digital guidelines of the 21st century’, Anaesthesiologie. doi:10.1007/s00101-023-01310-3.
  • Meybohm, P. (2024) ‘AI-augmented perioperative clinical decision support (KIPeriOP) – study design and initial interim results’, Anasthesiologie und Intensivmedizin, April. doi:10.19224/ai2024.156.