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ChallengeUpdated on 14 March 2025

GenAI HealthVid: Personalized Patient Videos

Daniel Moreno Martinez

Head of Innovation at Hospital Germans Trias i Pujol

Barcelona, Spain

About

In healthcare, effective patient communication is essential for improving outcomes and adherence to medical guidance. However, clinicians often struggle with limited time and resources to provide tailored materials that suit each patient's needs. This challenge seeks to develop a Generative AI-powered tool that enables healthcare professionals to effortlessly create personalized videos tailored to ech patient. These videos will be generated from prompts provided by the healthcare professional, and will support patients in understanding their conditions, preparing for procedures, and managing post-discharge care, ensuring more accessible and engaging healthcare communication.

The envisioned GenAI tool should allow clinicians to input free text or structured prompts, generating high-quality, patient-friendly videos in real-time. The solution should adapt to different literacy levels, languages, and cultural contexts, ensuring inclusivity and accessibility. Ideally, the tool would integrate with existing hospital systems, electronic health records, or patient portals to streamline workflow and reduce the burden on healthcare staff while enhancing patient engagement. Importantly, this project will be designed with key USPs to ensure maximum impact:

  • No design experience needed – Healthcare professionals can generate videos effortlessly without requiring technical or creative skills, simply by providing prompts

  • Patient-specific customization – Clinicians can provide key patient details, such as age, gender, or even facial and body characteristics, allowing the AI to create videos that better reflect the patient's reality and foster deeper engagement.

  • Clinically validated content – The solution will ensure that all generated videos adhere to medical guidelines and best practices, providing trustworthy information.

Potential Use Cases

  • Pre-procedure preparation – Generate videos explaining what patients can expect before surgeries, scans, or treatments.

  • Discharge instructions – Provide clear, personalized guidance on post-hospital care, medication use, and symptom monitoring.

  • Chronic disease management – Support patients with tailored educational content on managing conditions like diabetes, heart disease, or hypertension.

  • Rehabilitation and physical therapy – Assist in demonstrating exercises and self-care routines to improve recovery outcomes.

  • Pediatric and elderly care – Adapt explanations to different age groups, ensuring comprehension for both children and older adults.

  • Multilingual and accessible formats – Deliver content in various languages and formats, including subtitles and sign language options for accessibility.

Topic

  • Clinical care administration & management tools
  • Artificial Intelligence
  • Natural language processing
  • Medication adherence tools
  • Treatment adherence

Type

  • Proof of concept/pilot testing
  • Co-development

Organisation

Hospital Germans Trias i Pujol

Public Entity

Barcelona, Spain

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