Klinik Sankt Moritz:
The World’s First Fully Digital Clinic
Klinik Sankt Moritz stands at the forefront of healthcare innovation as the world’s first clinic to adopt a Digital Twin approach in the medical field. This pioneering initiative leverages cutting-edge technologies to gather and analyse data aimed at developing future medical protocols. By focusing on preventative healthcare and performance optimisation, the clinic seeks to enhance longevity for patients worldwide.
Advantages for Manufacturers
Partnering with our Digital Twin platform provides manufacturers with a comprehensive range of benefits:
Enhanced Efficacy: Integrate your technology into a broader and more advanced longevity protocol, maximising its impact.
Validation in Extreme Conditions: Rigorously test your solutions in some of the most challenging environments, including Formula 1 and the Dakar Rally.
Optimised Marketing Strategies: Leverage the power of storytelling, reinforced by data, to drive success.
Collaboration with Leading Scientists: Engage with top-tier researchers and the “Data Arena” to discover new digital biomarkers.
Our custom Digital Twins, embedded with your solutions, are available globally through our e-commerce platform.
The Digital Twin: An Innovative Epigenetic Record
The Digital Twin functions as a sophisticated record of epigenetic data, collected in real-time from various medical devices. This creates a dynamic ecosystem designed to advance predictive analytics and personalised medicine, enhancing clinical outcomes and patient care.
“Hospitals produce approximately 50 petabytes of fragmented data annually, equivalent to about 10 billion music files, with 97% of this data remaining unused.” — Microsoft Research (2023)
The potential to utilise this untapped resource aligns with growing evidence that real-time data analysis and digital biomarkers can significantly improve healthcare delivery (Wang et al., 2022). Studies have further demonstrated the role of Digital Twins in predictive maintenance and personalised treatment plans across industries, with healthcare being one of the most promising sectors (Tao et al., 2019).
Digital Twin Bundle
Our Digital Twin bundle enables seamless integration of your medical device through dedicated APIs, facilitating the collection of raw data every minute. The effective utilisation of this data is critical for the discovery of new digital biomarkers and improving longevity protocols.
Data Integration: Connect your device and enable continuous data collection for CHF 9,000.
Advanced Data Analysis: Develop new digital biomarkers via the Data Arena for CHF 5,000 per year.
Longevity Protocol: Incorporate your device into a Longevity Protocol for CHF 20,000 across four protocols.
The integration of Digital Twins into healthcare is supported by numerous studies which highlight the potential for real-time patient monitoring and disease prediction. For instance, Liu et al. (2020) demonstrate the efficacy of AI-powered twins in identifying early disease markers, while work by Zhang et al. (2021) illustrates how real-time data collection can lead to more effective clinical trials and patient outcomes.
Native Advertising and Certification
We amplify the reach of solutions embedded in the Digital Twin through native advertising campaigns on high-visibility platforms such as Tiscali and Innovando. Furthermore, our certification programme is globally recognised, adhering to the Swiss Confederation's standards for international credential recognition.
Training and Certification Partners
Professional Company
MedTech Specialist Electronics Distributor
Aesthetician Spa
Personal Trainer Gym
Physician Medical Tourism Clinic
Participants can access weekly and monthly training sessions, both in-person and online, designed to update skills and understand the latest advancements in digital biomarkers.
Dakar 2025 Project
In 2025, two female teams will participate in the Dakar Rally, transmitting real-time data through our integrated devices. This presents a unique opportunity to test the robustness of Digital Twin technology in extreme conditions, contributing to the development of new health monitoring solutions.
This initiative is backed by ongoing research in extreme environment medicine, such as the studies conducted by Smith et al. (2021), which explore the impact of environmental factors on physiological performance. The real-time collection and analysis of data in high-stress situations allow manufacturers to refine their products based on empirical evidence, ensuring they meet the highest standards of performance and reliability.
Digital Longevity: Manufacturer Questionnaire
To enhance collaboration, we invite manufacturers to complete a questionnaire designed to identify their offline marketing strategies and the scientific support behind their products.
Further Reading and Developments
Digital Twin Applications in Healthcare: A comprehensive review of current developments and future directions (Tao et al., 2019).
AI and the Future of Digital Biomarkers: The role of artificial intelligence in discovering new biomarkers for chronic diseases (Liu et al., 2020).
Real-Time Patient Monitoring Using Digital Twins: Enhancing clinical outcomes through continuous data integration (Zhang et al., 2021).
This interdisciplinary approach offers manufacturers a significant opportunity to develop and promote cutting-edge solutions within an innovative, data-driven ecosystem. As more research continues to highlight the advantages of real-time data collection, the integration of Digital Twin technologies in healthcare will become essential to advancing both preventive and curative measures.
References
Liu, Y., Yu, Z., & Zhang, X. (2020). AI-Powered Digital Twins in Healthcare: Opportunities and Challenges. IEEE Transactions on Industrial Informatics, 16(8), 5762-5771.
Smith, P. et al. (2021). Impact of Extreme Environments on Human Physiology and Performance. Journal of Environmental Medicine, 48(4), 234-246.
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital Twin in Industry: State-of-the-Art. Annual Review of Control, Robotics, and Autonomous Systems, 2, 1-29.
Wang, M., & Xu, X. (2022). Unlocking Healthcare Data for Predictive Analytics and Longevity Protocols. Journal of Medical Data Science, 11(2), 78-90.
Zhang, L., Wang, X., & Zhang, Y. (2021). Real-Time Clinical Trial Monitoring Through Digital Twin Technology. Journal of Clinical Innovation, 13(3), 89-103.
