ArticleInternational journal of computer assisted radiology and surgery2025
Bridging the gap between models and reality: development of a research environment for an object-oriented hospital information system to integrate artificial intelligence and robotics into clinical practice.
Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- 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.International journal of computer assisted radiology and surgery · 2026Article
- Technology-assisted visceral surgery: a model-based approach for quantifying translation and accessibility across populations and geographies.International journal of computer assisted radiology and surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
introductionHospital information systems (HISs) are the main access opportunity for medical professionals to computer-based patient administration. However, current HISs are primarily designed to function as office applications rather than as comprehensive management and supporting tools. Due to their inflexible architecture, integrating modern technologies like artificial intelligence (AI) models and medical robotics (MR) is hindered. Therefore, we have conceptualized an object-oriented HIS (oHIS) as a pragmatic digital twin (PDT) of the entire patient care in a hospital and developed a functional research framework software for further investigations to bridge the gap between reality and models via oHIS. MATERIAL AND
methodsIn an interdisciplinary team of engineers and physicians, we conducted a requirements assessment on the surgical wards of the TUM University Hospital in Munich. Then, we designed the research framework named OMNI-SYS and developed it into a functional research platform capable of bridging the gap between a model management system and real-world agents. Finally, we evaluated the framework simulating a clinical use case.
resultsOur analysis revealed that future-proof HIS is an under-researched topic. The integration of new technologies into clinical practice is not sufficiently prepared. Therefore, our approach could solve this shortcoming allowing for human agents, devices, models, and robots to interact in a PDT. Models can be integrated as quasi-natural objects and interact with representations of tangible objects in real time. This approach enables even the integration of new technologies that are still unimaginable today. Our oHIS research framework enabled a functional object representation in a simulated use case.
conclusionoHIS could significantly facilitate the integration of future technologies like AI models and MR. The OMNI-SYS framework could serve as a cornerstone for further research into this new approach. Studies on its clinical application and formalization are already planned in preparation for a possible future standard.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.