Updated on 17 January 2026
Deploy Ai Agents in hospitals
COO at Health Force GmbH.
Vienna, Austria
About
Health Force is a European healthtech startup that helps hospitals and healthcare organizations improve efficiency and reduce costs by deploying an AI-powered “hybrid workforce.” Our AI agents act like digital colleagues that work alongside staff, handling repetitive and complex administrative or clinical-support tasks.
Unlike basic automation, our agents can understand context, follow multi-step workflows, and make decisions within clear boundaries. They connect to existing systems such as EHRs and other hospital software, so teams can delegate work without changing how they operate.
Health Force focuses on measurable outcomes: faster processing times, fewer errors, reduced workload for staff, and better operational performance. We also build in governance, human oversight, and monitoring so organizations can track what the agents do, why they did it, and how well they perform—supporting safe, scalable adoption across different hospitals and workflows.
Field
- Receiver institution with a need to adopt a PM approach
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Clinical decision support systems for personalised medicine
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
- Partial adoption of a PM solution (testing selected modules/components)
Organisation
Similar opportunities
Expertise
Advisory services on the implementation of 3D printing technology in public and private hospitals.
- Donor institution with a ready PM approach
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Full adoption/acquisition of a PM solution into clinical practice
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Partial adoption of a PM solution (testing selected modules/components)
- Screening & early detection programs (risk stratification, predictive tools)
- Cultural/organisational change approaches (staff training, workflow redesign)
- Reimbursement-ready approaches (integration with public health insurance systems)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
- Patient engagement & empowerment strategies (self-management tools, shared decision-making)
- Adaptation of an existing PM solution to local context (language, IT environment, regulations)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
Jesús Corbacho
Medical Advisor on 3D Printing Integration in Clinical Environments. at Eureqa 3D
Cáceres, Spain
Expertise
- Donor institution with a ready PM approach
- Receiver institution with a need to adopt a PM approach
Maria Ariño Tarruella
Innovation Project Manager at Consorci de Salut i d'Atenció Social de Catalunya
Barcelona, Spain
Expertise
In Silico Modelling, Patient-Specific Simulation, and Digital Twins for Personalised Medicine
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Partial adoption of a PM solution (testing selected modules/components)
- Screening & early detection programs (risk stratification, predictive tools)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Standardisation & evaluation methodologies (protocols, metrics, QA/QC processes)
- Implementation of CE-marked digital health solutions (AI algorithms, software, apps)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
- Patient engagement & empowerment strategies (self-management tools, shared decision-making)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
Eduardo Soudah
Biomedical Engineering Team Leader at International Centre for Numerical Methods in Engineering (CIMNE)
Barcelona, Spain