Judith Gerlach, Bavarian State Minister for Health Care, Prof. Dr. Dominik Pförringer Academic Director TUM Venture Lab Healthcare, Dr. Jörg Traub, Bayern Innovativ GmbH
Digital Health Summit in Munich
From November 6 to 8, experts from around the world gathered at the Digital Health Summit in Munich, organized by KRDI-white, TUM-invers, TH-Deggendorf, and BayernInnovativ. The discussion was no longer about whether Artificial Intelligence (AI) should be used in hospitals, but how. A central insight from all the talks and presentations was that integrating AI securely and easily, and making it accessible to doctors, nurses, and healthcare staff, is not an easy task. Another problem that doctors see is the abundance of individual solutions that they cannot all verify and implement in the hospital.
The use of Artificial Intelligence (AI) in regulated companies, especially in healthcare, comes with challenges. Data protection and security are the main reasons why Chat GPT and other AI technologies are often not used.
The expert community also agreed on this: The European healthcare system is under immense cost pressure. Annual healthcare expenditures in Europe amount to approximately €1.4 trillion, of which an estimated €194 billion is spent on bureaucracy and administrative costs. Through the use of AI, these costs could be reduced by up to €80 billion. This is where basebox comes into play.
To achieve immense savings, basebox has developed a flexible, data protection-compliant, and scalable AI integration platform. The platform supports healthcare companies in easily and securely integrating AI technologies into their existing processes.
The implementation of the platform helps to reduce the financial burden on the healthcare system and to increase employee satisfaction by reducing lengthy, sometimes tedious administrative tasks. The savings achieved can be immediately reinvested in improving patient care, modernizing infrastructure, optimizing working conditions, and strengthening preventive work.
Challenges
The introduction of an AI integration platform in healthcare brings several challenges:
1. Adaptation to Workflows: Ensuring that the new platform can be seamlessly integrated into existing workflows.
2. Security/Data Protection: Ensuring the protection of sensitive patient data in accordance with data protection laws.
3. Data Integration: Managing the heterogeneous and often fragmented IT landscapes in healthcare.
To overcome these challenges, the platform consists of three main components:
1. Apps: No/Low-Code tools that enable developers, employees, and service providers to easily create applications that meet the specific requirements of healthcare companies.
2. Management System: A central system for managing and monitoring model usage (Inference), coupled with user role and rights management (RBAC) and other security mechanisms.
3. Data Interfaces: These ensure seamless integration with existing data management systems (KIS, LIS, RIS, PMS) and enable secure data exchange.
Steps for Implementation
To ensure the successful implementation of the project, basebox is working on the following steps:
1. Development of the AI Integration Platform: Design and construction of a secure, data protection-compliant, and easy-to-integrate platform.
2. Integration of the App Store Logic: Establishment of a marketplace within the platform where AI apps can be found, compared, installed, and used with a single click.
3. Provision of Initial Attractive Apps: In-house development and provision of apps that are easy to implement and cover standard use cases. An initial app is, for example, “Discharge Summary”. In Germany alone, up to 17 million “Discharge Summaries” are written annually. basebox is currently developing the first ten apps of this kind.
4. Partnerships for App Development: Collaboration with healthcare organizations, IT service providers, and manufacturers of data management systems (KIS, LIS, RIS, PMS) to jointly develop new apps and make them available to other companies in the KI-App Store and directly in the respective systems.
If you are a hospital, clinic, or company with special data protection regulations and are interested in using AI and an on-premise solution, please contact lizzy.herzer@basebox.ai. Our on-premise solution is available immediately.
