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Purpose: For the modeling, execution, and control of complex, non-standardized intraoperative processes, a modeling language is needed that reflects the variability of interventions. As the established Business Process Model and Notation (BPMN) reaches its limits in terms of flexibility, the Case Management Model and Notation (CMMN) was considered as it addresses weakly structured processes.
Methods: To analyze the suitability of the modeling languages, BPMN and CMMN models of a Robot-Assisted Minimally Invasive Esophagectomy and Cochlea Implantation were derived and integrated into a situation recognition workflow. Test cases were used to contrast the differences and compare the advantages and disadvantages of the models concerning modeling, execution, and control. Furthermore, the impact on transferability was investigated.
Results: Compared to BPMN, CMMN allows flexibility for modeling intraoperative processes while remaining understandable. Although more effort and process knowledge are needed for execution and control within a situation recognition system, CMMN enables better transferability of the models and therefore the system. Concluding, CMMN should be chosen as a supplement to BPMN for flexible process parts that can only be covered insufficiently by BPMN, or otherwise as a replacement for the entire process.
Conclusion: CMMN offers the flexibility for variable, weakly structured process parts, and is thus suitable for surgical interventions. A combination of both notations could allow optimal use of their advantages and support the transferability of the situation recognition system.
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http://dx.doi.org/10.1007/s11548-023-03004-y | DOI Listing |
Dtsch Med Wochenschr
September 2025
Klinik für Kardiologie, Angiologie und Pneumologie, Institut für Cardiomyopathien Heidelberg, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Rapid advancements in Artificial Intelligence (AI) have significantly impacted multiple sectors of our society, including healthcare. While conventional AI has been instrumental in solving mainly image recognition tasks and thereby adding in well-defined situations such as supporting diagnostic imaging, the emergence of generative AI is impacting on one of the main professional competences: doctor-patient interaction.A convergence of natural language processing (NLP) and generative AI is exemplified by intelligent chatbots like ChatGPT.
View Article and Find Full Text PDFAnal Chem
September 2025
Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological and Chemical Engineering, Jiaxing University, Jiaxing 314001, China.
Despite the promise of electrochemical biosensors in amplified nucleic acid diagnostics, existing high-sensitivity platforms often rely on a multilayer surface assembly and cascade amplification confined to the electrode interface. These stepwise strategies suffer from inefficient enzyme activity, poor mass transport, and inconsistent probe orientation, which compromise the amplification efficiency, reproducibility, and practical applicability. To address these limitations, we report a programmable dual-phase electrochemical biosensing system that decouples amplification from signal transduction.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Laboratory Animal Science, Medical Faculty, Heinrich-Heine-University, Duesseldorf, Germany.
Early-career researchers (ECRs) play a key role in conducting animal experiments in academic research. However, they face considerable challenges, including poor working conditions, and inadequate strategies for managing distress. These difficulties are often amplified in animal research, where a lack of consensus on the 3Rs (replacement, reduction, and refinement), challenges to navigate complex regulations and ethical dilemmas can further complicate the situation.
View Article and Find Full Text PDFRev Infirm
September 2025
Centre bipol-AIR, 9 rue Abraham-Bloch, 69007 Lyon, France.
Functional neurological disorders are characterized by a variety of neurological symptoms that are not explained by an identifiable organic pathology. Despite their significant prevalence and major impact on quality of life, their recognition and management remain inadequate. Formerly known as hysteria, modern criteria (Diagnostic and Statistical Manual of Mental Disorders, 5th edition [DSM-5]) allow a positive diagnosis, distinct from malingering.
View Article and Find Full Text PDFSleep Med Clin
September 2025
Department of Neurology, County Clinic Hospital, Calea Bucuresti 25-27 Street, 500037 Brasov; Faculty of Medicine, Transilvania University, Balcescu Street 56, 500040 Brasov, Romania.
Shifting away from the traditional perspective on parkisonism, which focused only on the motor state of the patients, recent research proves the importance of early recognition and treatment of non-motor symptoms. Patients with parkinsonism, who suffer from various sleep disturbances, such as excessive daytime sleepiness (EDS), experience lower quality of life, a negative impact on activities of daily living, and possible exposure to life-threatening situations. Implementing the routine use of subjective and objective means of diagnosing EDS, into clinical practice, allows for a personalised management plan, in scope of efficiently decreasing disease burden for both the patient and the caregiver.
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