Expanding research on clinical agent data to a virtual space of location, time, and context: exploration of data structures and limitations using a pragmatic digital twin - Report - MDSpire
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Advancing the Utilization of Clinical Agent Data in a Virtual Environment: An Investigation into Data Structures and Constraints through a Pragmatic Digital Twin Approach

  • By

  • Sidra Rashid

  • Katarina Sliepkova

  • Lukas Bernhard

  • Sonja Stabenow

  • Emily Spicker

  • Stefanie Rinderle-Ma

  • Johannes Fottner

  • Dirk Wilhelm

  • Maximilian Berlet

  • September 19, 2026

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Clinical Report: Advancing the Utilization of Clinical Agent Data in a Virtual Environment

Background

The integration of artificial intelligence in healthcare is hindered by fragmented and unstructured data across various systems. This fragmentation complicates the development of reliable predictive models and effective process mining.

Data Highlights

No numerical data or trial data were reported in the article.

Key Findings

  • The OMNI-SYS framework serves as a pragmatic digital twin, modeling hospital agents as objects with properties and relationships.
  • It captures and models process-relevant data to support flexible applications in clinical workflows.
  • The feasibility study was conducted at TUM University Hospital using volunteer participants to simulate pre-operative processes.
  • Data fragmentation remains a significant barrier to effective integration of multi-modal datasets in healthcare.
  • Dynamic mapping of objects and their interrelationships is essential for real-time updates in clinical environments.

Clinical Implications

The findings suggest that adopting object-centric hospital information systems could improve data integration and workflow efficiency in clinical settings. This approach may lead to enhanced coordination among healthcare providers and better patient outcomes.

Conclusion

The study demonstrates the potential of the OMNI-SYS framework to address data structure challenges in healthcare.

Related Resources & Content

  1. Rashid et al., TUM University Hospital, 2025 -- OMNI-SYS: A Pragmatic Digital Twin Framework
  2. A consensus statement on the use of digital twins in medicine - PMC
  3. Clinical Trials and Digital Doubles, The Medicine Maker, 2024
  4. Digital twins in healthcare: A systematic review of current applications, frameworks, and future directions, DIGITAL HEALTH
  5. Digital Twins in Oncology: From Concept to Implementation, ASCO AI in Oncology
  6. Frontiers in Oncology — Digital Twins as catalysts for Whole Person Health Mind Body Medicine in Integrative Oncology
  7. Frequently Asked Questions - ONC TEFCA RCE
  8. A novel digital twin strategy to examine the implications of randomized clinical trials for real-world populations | npj Digital Medicine
  9. A consensus statement on the use of digital twins in medicine - PMC

Original Source(s)

Expanding research on clinical agent data to a virtual space of location, time, and context: exploration of data structures and limitations using a pragmatic digital twin

  • by Sidra Rashid, Katarina Sliepkova, Lukas Bernhard, Sonja Stabenow, Emily Spicker, Stefanie Rinderle-Ma, Johannes Fottner, Dirk Wilhelm, Maximilian Berlet

  • September 19, 2026

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