Did you notice?
The world is becoming more complex everyday.
The digital deluge prevents us to understand our own businesses.
We need new ways to harness digital complexity.
About us
BioMedima is a Swiss-based association founded in 2012.
BioMedima supports healthcare organisations to adopt data-centric ways of working.
Advocating for sustainable digital transformation, BioMedima promotes knowledge graph solutions to achieve sobre and sovereign digital practices.
How it works
BioMedima offers a framework dedicated to the collaborative creation of graph-based solutions.
Some people’s brain work by connecting dots. Many organisations struggle to connect their data. BioMedima enables the offer to meet the demand.
BioMedima’s value proposition is based on strong ethical principles. We introduce the “Slow Business” concept promoting qualitative, sustainable and FAIR digital business practices.
Our solutions
Services: education or consultancy on specific topics; face-to-face (Basel area) or remotely.
Products: graph-based artifacts or applications answering/solving specific questions/problems at exploratory or enterprise scale.
Domains:
– Biomedical, healthcare, pharmaceutical
– Digital transformation
– Business sustainability
THEY BENEFIT FROM OUR SUPPORT
Our unique business model aims at providing unique solutions created by special contributors to special customers.
BioMedima is a non-profit organization. We are not bound to profitability and therefore don’t compromise our values for profit.
Our special business model targets special stakeholders:
– Our contributors are graph-thinkers, system-thinkers, integrating environmental concerns in all their endeavors
– Our customers give themselves the means to their ambitions to create responsible and sustainable digital businesses
BioMedima promotes open standards, universal data/information/knowledge management approaches and adjusted machine learning to implement resilient hence sustainable digital solutions:
– By closely working with our customers, we not only build a solution but bring them along in a learning journey
– By using a home-grown machine-readable project management framework, we apply a scientific methodology and system-thinking to all cases
– By building solutions iteratively, we adapt to business changes, account for customer feedback and monitor the added value of our solutions