Dr. rer. nat. Gregor Lichtner

Expertise

Dr. Gregor Lichtner is a Medical Data Scientist and Co-Head of the Medical Informatics Research Group at the Department of Anesthesia, Critical Care, Emergency and Pain Medicine, University Medicine Greifswald.

His research focuses on clinical decision support, clinical artificial intelligence, and interoperable data infrastructures. His work includes the development and evaluation of machine learning models for longitudinal clinical data, computer-interpretable clinical guidelines and quality indicators, and federated infrastructures for multicenter research and quality assessment.

In addition to his academic research, Gregor has several years of professional experience as a software developer and data scientist in the healthcare sector.

Selected Projects

  • RAPID – Federated infrastructure for standardized intensive care data and multicenter research
  • ICareFM – Foundation model for longitudinal clinical time series
  • CODEX-CELIDA – Automated assessment of clinical guideline applicability and adherence
  • INDICATE – Federated infrastructure for intensive care quality benchmarking
  • PREEVENT-ICU – Prediction and evaluation of clinical events from routine intensive care data

Selected Publications

  • Schwietering J, Lichtner G. Benchmarking large language models for question answering on German clinical practice guidelines. BMJ Health Care Inform (2026);33. DOI: 10.1136/bmjhci-2026-102207
  • Do DK, Rockenschaub P, Boie SD, Kumpf O, Volk HD, Balzer F, von Dincklage F, Lichtner G. The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study. J Med Internet Res (2026);28. DOI: 10.2196/72083
  • Lichtner G, Schiefenhövel F, Gashi B, et al. Multicenter Evaluation of an Interoperable System for Automated Guideline Adherence Monitoring in ICUs. Crit Care Med (2026);54(1):119–128. DOI: 10.1097/CCM.0000000000006961
  • Burger M, Chopard D, Lichtner G, et al. A Foundation Model for Intensive Care: Unlocking Generalization across Tasks and Domains at Scale. medRxiv (2026), preprint. DOI: 10.1101/2025.07.25.25331635
  • von Dincklage F, Bublitz VK, Kumpf O, et al., Lichtner G. Computer-Interpretable Quality Indicators for Intensive Care Medicine: Development and Validation Study. J Med Internet Res (2025);27. DOI: 10.2196/77077
  • Lichtner G, Alper BS, Jurth C, Spies C, Boeker M, Meerpohl JJ, von Dincklage F. Representation of evidence-based clinical practice guideline recommendations on FHIR. J Biomed Inform (2023);139:104305. DOI: 10.1016/j.jbi.2023.104305
  • Lichtner G, Spies C, Jurth C, et al. Automated Monitoring of Adherence to Evidenced-Based Clinical Guideline Recommendations: Design and Implementation Study. J Med Internet Res (2023);25. DOI: 10.2196/41177

 

Publication List: https://bit.ly/google-scholar-gregor-lichtner

Contakt

gregor.lichtner@med.uni-greifswald.de

Links

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