Tuesday, September 15 at 15:00 BST / 16:00 CEST / 10:00 EDT / 07:00 PDT

The rapid acceleration of new informatics technologies is transforming the clinical laboratory landscape. Advances in AI, cloud infrastructure, remote connectivity, and evolving cybersecurity capabilities are creating new opportunities for innovation, while also introducing greater complexity around patient safety, regulatory compliance, data integrity, and operational continuity.

In this SelectScience® webinar, attendees will gain practical insights into emerging informatics developments and strategies for adopting new technologies with confidence while balancing innovation with security, compliance, and governance requirements.

This session will also address key considerations for cloud and AI adoption, including validation expectations, audit trails, traceability, documentation practices, and maintaining readiness in increasingly connected lab environments.

In this webinar attendees will learn:

  • The nature of evolving security threats facing the laboratory.
  • How to safely adopt new technologies like AI and LLMS while avoiding security threats and risks to patient safety posed by these technologies.
  • What new technologies mean for security, such as the impact of cloud on data availability and security.
  • How best to organize the lab to maintain cybersecurity and information assurance.

Join us to learn how labs can stay ahead of the technology curve while reducing risk and building resilience in a rapidly evolving digital healthcare environment.

Accreditation statement

SelectScience® is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E.® Program.

Webinar details

  • Cost: Free to attend
  • Location: Online
  • Duration: 60 minutes
  • Instruction level: Intermediate

Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.

Who should attend

This event is perfect for:

  • Lab managers
  • Chief information officers
  • Lab IT managers
  • Biomedical scientists
  • Lab technicians
What will this webinar cover?

Topics include:

  • Key informatics trends shaping the future lab, including AI, cloud, and remote solutions
  • Balancing innovation with regulatory, cybersecurity, and operational requirements
  • Emerging cybersecurity threats and practical approaches to protecting laboratory IT infrastructure
  • Compliance & governance considerations for cloud and AI adoption, including validation and audit readiness
  • Data integrity, monitoring, controls, and documentation strategies in connected lab environments
Following this webinar you will be able to:

  • Identify emerging cybersecurity threats facing clinical laboratory IT environments and understand the potential effects on patient safety, data integrity, and operational continuity.
  • Evaluate modern computing approaches, including cloud-based deployments, and assess their implications for laboratory workflows, infrastructure, and data management strategies.
  • Outline core information assurance principles and practical strategies for strengthening security, maintaining system integrity, and supporting regulatory compliance.
  • Discuss the risks and governance considerations associated with AI technologies and learn approaches for adopting AI solutions responsibly while maintaining compliance with regulatory, cybersecurity, and data governance requirements.

 

Presenters

David McClintock, MD
David McClintock, MD

Chair of the Division of Computational Pathology and Informatics,

Department of Laboratory Medicine and Pathology at Mayo Clinic And Associate Professor of Laboratory Medicine and Pathology at Mayo Clinic College of Medicine and Science , Mayo Clinic, Roche

David McClintock, MD, is a physician-scientist and pathologist at the Mayo Clinic specializing in computational pathology, clinical informatics, and artificial intelligence. He serves as Chair of the Division of Computational Pathology and Informatics within the Department of Laboratory Medicine and Pathology. His work focuses on applying AI and machine learning to improve diagnostic accuracy, laboratory workflows, and patient outcomes. Prior to joining the Mayo Clinic, he held leadership roles in pathology informatics at the University of Michigan and the University of Chicago, and he is a past president of the Association for Pathology Informatics.
Lucy Lawrence
Lucy Lawrence

Science Editor

SelectScience

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