Rapid Sharing of International Clinical Data Ensuring Patient Privacy for Combating Pandemics and Other Diseases

RAC Credits
Virtual ProgramsVirtual Programs
Tuesday, 23 May 2023 (12:00 PM) - Tuesday, 23 May 2023 (1:00 PM) Eastern Time (US & Canada)

Health emergency situations, such as the COVID-19 pandemic, require changes to long-term research procedures. Expedited information sharing is the key to rapid innovation, especially in the era of Big Data and AI.

Patient privacy and the need for untraceable data is a major concerns, which drove the EU to enact the General Data Protection Regulation (GDPR). Although important, it hampers clinical and scientific advances. GDPR has hindered health-care study data sharing. Is there a way to speed the process of international data sharing? Could we comply with GDPR while fostering rapid exchange of health data across the globe?

The webinar will look at the EU’s health-care ecosystem; explain recent strategic proposals based on state-of-the-art AI advances that speed up such processes; and outline a business proposal presented to a European challenge team that might pave the way for supporting international research and collaboration.



Learning Objectives

  • Upon completion, participant will understand the European health-care ecosystem and how GDPR affects international data sharing.
  • Upon completion, participants will understand the benefits of medical data-sharing to combat pandemics and disease.
  • Upon completion, participants will consider using AI to comply with the GDPR and avoid cumbersome governance hurdles.

  • Audience Learning Level

    Basic: Content is introductory. Basic educational activities are meant to establish a foundation of knowledge and/or competence.

    Who Should Attend?

    Regulatory intelligence professionals and researchers interested in international medical-data sharing.


    Ana Pilar Olmos

    Ana Pilar Olmos

    SPEAKER BIO Ana Pilar Olmos is a regulatory consultant in medical devices and combination products. She focuses on MDR implementation, QMS remediation, clinical evaluation, and complaint handling at global pharmaceutical and medical-device companies. She has a biomedical engineering and AI background, Pilar Olmos. Participated in an entrepreneurship European challenge program that created an international database with synthetic clinical data that is statistically representative and privacy compliant. She co-founded Artificial Intelligence for Medicine.

    Jorge García

    Jorge García

    Jorge García Condado is a Cambridge graduate engineer specializing in both Information and Computer Engineering and Bioengineering. He also holds an MRes in Information Health Engineering from the Universidad Carlos III de Madrid. He is a “La Caixa” doctoral fellow at Biocruces Bizkaia HRI. He researches machine learning, brain networks, and neurological disorders. He aims to help clinicians diagnose and distinguish mental and behavioral disorders by using AI.


    RAPS reserves the right to cancel this program at its sole discretion. RAPS will not be responsible for travel or other costs incurred due to cancellation.

    All cancellation requests must be submitted in writing to raps@raps.org.  RAPS is unable to accept cancellations by phone.

    To transfer a registration, email raps@raps.org with the event title, name of the original registrant, and contact information for the new attendee.

    Proof of Attendance

    A certificate of attendance can be downloaded from the RAPS Learning Portal following the event.



    For additional hands-on support, you can also connect with RAPS support 30 min prior to the workshophttps://www.raps.org/website/virtual-event-help

    For account support, contact the RAPS Support Center: at +1 301 770 2920, ext. 200 (8:30 am–5:30 pm EST, Monday–Friday) or email support@raps.org.

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