Intelligent solutions for facility management in the healthcare sector
FACT and Open Logic Systems: a partnership that creates innovative solutions.
Our expertise
Increasing efficiency through AI in the secondary sector of healthcare facilities
The partnership between Open Logic Systems and the FACT was created with the clear goal of to future-proof facility management in healthcare facilities, such as hospitals, rehabilitation clinics, and nursing homes, through the use of artificial intelligence. The combination of both companies’ long-standing expertise makes it possible to use AI in facility management for healthcare facilities to raise efficiency and quality to a new level. By combining in-depth industry expertise and Using state-of-the-art AI technology we offer solutions that specifically address the current challenges of the industry and enable sustainable process optimization.
Your advantages
Increased efficiency
We use AI to optimize your healthcare processes and reduce costs. This ensures clear efficiency gains and profitable company management.
Relief
We take the pressure off your staff so that they can concentrate on important tasks. This makes it easier to cope with the shortage of skilled workers and ensures reliability.
On the pulse of time
Our solutions offer technological security and position you as a pioneer in AI. We use data-based decisions to secure your processes and make them fit for the future.
Areas of application
Where can AI solutions be used in facility management?
Our AI-based solutions are used in numerous areas of facility management in the healthcare sector. From the optimization of everyday processes to sustainable resource management, we use targeted technologies to ensure maximum efficiency and quality.
Predictive Maintenance
Identify maintenance requirements for technical systems at an early stage to avoid potential breakdowns.
Operational planning
Calculate the duration of an activity for a targeted employee assignment.
Demand forecasts
Predict the demand for medical supplies that will arise in your facility today, tomorrow or in a week.
Automated order acceptance
Let an AI decide which employees can best perform which task.
Optimized order processing
Improve your order processing by automatically analyzing and optimizing order quantities, delivery times and stock levels.
Flexible entry
The choice is yours!
Whether you want to start with a workshop, a proof of concept or directly with implementation support – we offer you a structured and flexible introduction that is precisely tailored to your requirements.
and evaluate AI use cases.
€
1875
- Collection of innovative ideas
- Identified Ki applications
- 2-3 evaluated use cases
- Duration: 4 hours.
- Attendance date
RESULT
KEY DATA
feasibility of the AI use cases.
€
6250
- Prototype of the AI solution
- Validated feasibility
- Concrete concept proposal
- Duration: 1-2 weeks
- Online or face-to-face appointments
RESULT
KEY DATA
implementation of the solution.
Price on request
- Project planning
- Implementation with CRISP-DM
- Implementation of the AI solution
- Duration: 3-6 months
- Online or face-to-face appointments
RESULT
KEY DATA
Use cases
We are transforming facility management in hospitals with our AI solutions
Our use cases show how artificial intelligence creates real added value in practice. From the automation of everyday tasks to the optimization of complex processes – find out how our solutions solve your facility management challenges and make processes more efficient.
Automated ticket processing
Automated processing of service requests and orders, which minimizes administrative work and ensures a fast response time.
AI-supported demand forecast for medical devices
AI-supported demand forecasts for medical goods ensure timely supply, optimize stock levels and reduce costs through more efficient ordering processes.
Master data maintenance in purchasing
Master data maintenance in purchasing, including duplicate detection, to ensure up-to-date and accurate data.
FACT GmbH
Secondary services in healthcare facilities
FACT offers you in-depth knowledge and practical solutions in facility management for healthcare facilities. We understand the specific requirements and challenges of this sector and use our comprehensive industry expertise to offer you solutions that optimize day-to-day business in healthcare facilities.
Contact usOpen LS
Experts for AI-based process optimization & automation
Open Logic Systems is a leader in technological innovation. With a focus on artificial intelligence and advanced software solutions, Open Logic Systems develops technologies that make complex processes in facility management efficient and automated. The company relies on tailored, intelligent IT consulting and tools specifically designed for the challenges of the healthcare sector.
Contact usFAQ
Frequently asked questions
Here you will find an overview of frequently asked questions on the topic of AI in facility management for healthcare facilities:
FACT and Open LS combine their expertise to offer you customized AI solutions. FACT has in-depth knowledge of facility management, while Open LS has extensive experience in the development of innovative AI technologies. Together, we offer a practical and seamless integration of solutions.
The speed of implementation varies depending on the use case. As a rule, a proof of concept can often be implemented in 1-2 weeks, with full implementation taking place in the following months. The availability of data and the complexity of the requirements are decisive for the time frame.
Our workshops are led by 2-3 facilitators, including data scientists and AI specialists. We use the design thinking method to develop innovative ideas, which are then prioritized and concretized in an AI canvas, resulting in 2-3 concrete project outlines.
In a proof of concept, we use the CRISP-DM approach (Cross Industry Standard Process for Data Mining), which offers a structured procedure for validating AI use cases. This proven approach is also used in the complete implementation support to ensure successful and sustainable integration of the solution into your business processes.
We start with a one-day workshop to identify possible areas of application. This is followed by a proof of concept, which can often be implemented in 1-2 weeks to check feasibility. This is followed by the actual project phase, which can be completed in a further 3-6 months.