• EHDS, interoperability, and the health data economy : how the Hungarian system, hospitals, private providers, pharma, medtech, and developers are preparing for it.
• Generative AI and clinical AI in practice : what we already use it for, what can be audited, what can be measured, and what can be funded.
• The hospital of the future 2.0 : AI-assisted workflows, command centers, nurse tech, automation of physician administration, and clinical decision support.
• Pharma digital and real-world evidence : beyond omnichannel: digital therapy support, patient journey management, RWE, decentralized research, and AI in drug development.
• Digital prevention and longevity : preventive screenings, wearable sensors, metabolic health, women’s health, and cardiometabolic monitoring.
• Cybersecurity, trust, and AI governance : hospital cybersecurity, vendor risk, model accountability, and data provenance.
• Startups and scale-ups: beyond the pitch : not only investment, but procurement, clinical validation, reimbursement, and export.

Konkrét alkalmazási esetek: triázs, betegirányítás, időpont-menedzsment, a meg nem jelenések csökkentése, elbocsátástervezés, az újrahospitalizáció csökkentése, valamint krónikus betegek távoli monitorozása.

• EHDS, interoperability, and data access: who will win the era of health data?
• The hospital of the future 2.0: AI triage, command centers, and the digital patient journey
• AI in pharma: marketing tool, research engine, or operational infrastructure?
• Who is responsible for AI-driven decisions?
• Innovative healthcare industry toward 2030: who will be the winners?

• Who owns the value generated from health data? How are the roles of hospitals, universities, pharma, and digital service providers changing? What technological and public-sector minimum is needed in 2026?
• Participants: public-sector decision-maker + hospital CIO + pharma executive + healthtech platform player

• Presentation: Why it’s not the technology that fails, but the validation strategy. Health startup funding in 2026: what is the market still willing to finance, and what is no longer fundable?
• Panel: From startup to procurement, how does a digital health solution enter the healthcare system? Reimbursement-ready innovation: how to build a healthcare product today

• The first real year of AI-assisted medicine: what can we already entrust to the model?
• Clinical documentation in 5 minutes: ambient scribing, automated administration, and reducing burnout
• The hospital of the future 2.0: command centers, nurse tech, AI triage, and the digital patient journey
• We don’t need more IT, we need less friction: how does the digital hospital work?
• Chief AI Officer in healthcare: is this role needed yet?
• Mini case study: one department, one workflow, one measurable outcome, how to launch an AI project effectively