Jonas Reuter
Managing Director, Partner
AI/KI
Digitization
Change
Data protection-compliant AI processes for a leading Bavarian health insurance company
This project focuses on optimizing complex negotiation processes between health insurance companies and hospitals. MORGEN the project supports the targeted use of AI and digitalization to increase efficiency, protect sensitive data and enable well-founded decisions. This ensures long-term competitiveness in a challenging market environment.
Client anonymized
One of the three largest statutory health insurers in Bavaria
One of the leading statutory health insurers in Bavaria with a wide range of health services and additional offers. As part of a nationwide insurance group, it serves several million insured persons and employs thousands of staff in numerous branches. It faces the challenge of driving forward its digital transformation in order to further improve the quality of care and hold its own in a highly competitive market environment.
Initial situation:
Manual processes, sensitive data, lack of digitalization
The current process for negotiating care standards with hospitals is largely analog and labor-intensive. Many decisions require a great deal of manual effort, as sensitive data is processed and the interests of the hospitals differ greatly from those of the health insurer. This leads to a complex decision-making process that involves large amounts of money. The lack of digitalization also inhibits efficiency and transparency.
MORGEN Performance
AI/AI
Digitization
AI-supported process optimization - future-proof and efficient
Understanding of AI processes developed:
Enabling a comprehensive understanding of the use of AI in complex processes through targeted workshops.
Enabling a comprehensive understanding of the use of AI in complex processes through targeted workshops.
Status quo and future developments:
Highlighting the current state of AI technology as well as short and medium-term developments to make better use of future opportunities.
Highlighting the current state of AI technology as well as short and medium-term developments to make better use of future opportunities.
Technical infrastructure optimized:
Analysis and optimization of the existing IT infrastructure for the efficient use of AI-supported processes.
Analysis and optimization of the existing IT infrastructure for the efficient use of AI-supported processes.
Data protection options ensured:
Integration of data protection-compliant solutions for processing sensitive information within AI-supported processes.
Integration of data protection-compliant solutions for processing sensitive information within AI-supported processes.
Process efficiency increased through AI:
Improvement in efficiency and digitalization of complex processes through the use of AI.
Improvement in efficiency and digitalization of complex processes through the use of AI.
First steps towards digitalization initiated:
Initiation of concrete measures for the digital mapping of processes with a view to future implementation.
Initiation of concrete measures for the digital mapping of processes with a view to future implementation.
At the beginning, there was a lot of skepticism about the use of AI in our processes, particularly because of the complexity and sensitive data involved. However MORGEN has shown us how even in a traditionally manual environment, a digital transformation can be achieved step by step through smart IT architecture and data protection-compliant solutions. Their clear recommendations and targeted roadmap gave us the confidence we needed to take this path.
- Business unit manager (client anonymized)
Business model development
Services in the project
Market expansion
Exploration and development of new business areas.
Exploration and development of new business areas.
Product development
Design and improvement of products or services.
Design and improvement of products or services.
Customer understanding
Deep immersion in customer needs and wishes.
Deep immersion in customer needs and wishes.
Market tests
Practical tests and analyses for market validation.
Practical tests and analyses for market validation.
Innovative pricing
Revision and introduction of modern pricing models.
Revision and introduction of modern pricing models.
Digital transformation
Integration of digital processes and technologies.
Integration of digital processes and technologies.
Value proposition
Value-oriented strategies to increase sales.
Value-oriented strategies to increase sales.
Innovation
Idea development through to profitable business models.
Idea development through to profitable business models.
Sustainability
Business practices that meet all ESG criteria.
Business practices that meet all ESG criteria.