AI for healthcare, co-created with hospitals and research institutes and validated in real clinical settings
AI consulting, development and integration for hospitals, health research institutes, scientific societies and healthcare companies. With clinical validation, GDPR compliance, and experience in CE certification and Software as a Medical Device (SaMD).













Talk to our healthcare AI specialists
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No obligation, with our digital health team.
What can you do with AI in your organisation?
Find your use case: this is not a technology catalogue, it is what we are already solving with teams like yours.
Risk prediction and stratification
PreveMama (IRYCIS) · ORACLE (Horizon Europe)
Telemedicine and patient monitoring
AI-optimised outpatient care, with patients connected through interoperable devices and apps.
SmartCardioClinic (ISPA-FINBA) · Consorci Sanitari de Terrassa
Clinical workflow automation and hospital management
Ward-level materials logistics, hospital processes and administrative workflows automated and integrated with the centre’s systems.
Gregorio Marañón · GooManagement (IIS La Princesa)
AI assistants and agents for professionals and patients
Conversational assistants and agents that consult internal clinical documentation, classify requests and support care and management teams.
Surgical traceability
Digital checklists and process traceability in the operating room, designed and validated in real surgical settings.
GooCheck Surgical (IIS La Princesa)
Vaccination management and monitoring
Platforms that personalise vaccination recommendations and facilitate the monitoring of campaigns and vaccination schedules.
QuickVaccine (IRYCIS)
Medical team coordination
Tools for managing and coordinating care teams that reduce day-to-day operational friction at the centre.
TimeCare (IR Sant Pau)
Healthcare training with AI and gamification
Specialised medical training tools that combine real clinical cases, gamification and intelligent content.
ToREIMC (SEIMC) · GooCampus (IR Sant Pau)
Real-world cases
PreveMama
Challenge: improve breast cancer prevention with screening tailored to each woman.
Solution: an application that uses artificial intelligence to assess individual risk and generate personalised screening plans.
ORACLE
Challenge: improve risk prediction after myocardial infarction.
Solution: a multidimensional assessment app with AI, geolocation of environmental data, personalised dashboards and consent management in accordance with GDPR.
SmartCardioClinic
Challenge: optimise cardiology outpatient care.
Solution: a digital platform that applies artificial intelligence and telemedicine to improve care efficiency.
AI in healthcare cannot be improvised
Every solution is designed with healthcare requirements built in from the start, not added afterwards.
- GDPR compliance: consent, anonymisation and control over patient data.
- Experience with CE certification and Software as a Medical Device (SaMD) standards.
- Validation in real clinical settings, including surgical environments.
- Security by design, access control, traceability and human oversight (human-in-the-loop).
- Integration with the centre’s existing systems.
How we work
Discover
Together, we identify the use case with the greatest impact on care delivery or management.
Define
We design the solution and its architecture, incorporating clinical, data and regulatory requirements from the outset.
Develop
We develop using agile methodologies and validate in real-world settings with clinical teams.
Deliver
We deploy, measure and evolve the solution; pilots are built ready for production.
Frequently asked questions
No. We collaborate with research institutes, scientific societies, professional associations, universities, and health and wellness companies of all sizes.
With the strategy session: maturity assessment, opportunity identification and prioritisation of use cases based on impact and feasibility.
They are processed in accordance with GDPR, with managed consent, anonymisation where appropriate and access control. This is a design requirement, not a final layer.
Yes. We have experience integrating mobile and AI solutions with existing hospital systems, validated at centres such as Fundación Jiménez Díaz and Gregorio Marañón.
It depends on the scope, but the usual model is a focused pilot with measurable objectives that, if successful, scales to production without rebuilding the foundations.
If you have a clinical, care delivery or management challenge, we should talk
Complete the form and the GooMedical® team will contact you to discuss the use case with you, with no obligation. If you prefer, book a call directly.