Conexiant
Login
  • The Analytical Scientist
  • The Cannabis Scientist
  • The Medicine Maker
  • The Ophthalmologist
  • The Pathologist
  • The Traditional Scientist
The Pathologist
  • Explore Pathology

    Explore

    • Latest
    • Insights
    • Case Studies
    • Opinion & Personal Narratives
    • Research & Innovations
    • Product Profiles

    Featured Topics

    • Molecular Pathology
    • Infectious Disease
    • Digital Pathology

    Issues

    • Latest Issue
    • Archive
  • Subspecialties
    • Oncology
    • Histology
    • Cytology
    • Hematology
    • Endocrinology
    • Neurology
    • Microbiology & Immunology
    • Forensics
    • Pathologists' Assistants
  • Training & Education

    Career Development

    • Professional Development
    • Career Pathways
    • Workforce Trends

    Educational Resources

    • Guidelines & Recommendations
    • App Notes
    • eBooks

    Events

    • Webinars
    • Live Events
  • Events
    • Live Events
    • Webinars
  • Profiles & Community

    People & Profiles

    • Power List
    • Voices in the Community
    • Authors & Contributors
  • Multimedia
    • Video
    • Pathology Captures
Subscribe
Subscribe

False

The Pathologist / Issues / 2026 / April / A Secure AI Future Look to the Cloud
Digital and computational pathology Digital Pathology Software and hardware Laboratory management Voices in the Community

A Secure AI Future? Look to the Cloud

How a UK Pathology Network is harnessing digital technologies to build a secure foundation for a sustainable, patient-centered future

By Afshin Attari 04/24/2026 Discussion 4 min read
  • Full Article
  • Summary
  • Listen
  • Report
  • Scorecard
  • Quiz
  • Top Institutions
  • Top Thought Leaders

Share

Secure Cloud Platforms and AI Transform Pathology Services in NHS England

Overview

Peninsula Pathology Network has implemented a secure private cloud platform to unify pathology services across five sites, enhancing data sharing, collaboration, and scalability. Integration of AI tools within this infrastructure is improving diagnostic efficiency and supporting workforce demands, positioning pathology for a sustainable, patient-centered future.

Background

Pathology services in the UK face increasing demand for faster, more accurate diagnoses amid workforce pressures and rapid technological advances. NHS England has established networks like Peninsula Pathology Network to modernize and standardize pathology delivery across regions. Transitioning from fragmented local systems to centralized, cloud-based platforms enables better data management and collaboration. AI integration offers opportunities to augment pathologist productivity and improve diagnostic workflows.

Data Highlights

Peninsula Pathology Network unites five sites across four trusts, collectively performing over 39 million tests annually. The network's cloud platform centralizes data storage and sharing, supporting multi-site collaboration and AI-driven analysis. This infrastructure enhances resilience, scalability, and security of sensitive patient data.

Key Findings

  • Implementation of a secure private cloud platform enables centralized data hosting and integration across multiple pathology sites.
  • Cloud infrastructure supports robust data sovereignty, cybersecurity, and business continuity.
  • AI algorithms assist in triaging cases, highlighting suspicious tissue, and prioritizing urgent diagnostics, easing workforce burdens.
  • Successful AI adoption requires seamless integration into existing workflows to enhance productivity without adding complexity.
  • Sharing AI use case learnings across networks accelerates adoption and maximizes benefits.
  • Cloud-based digital pathology platforms provide a foundation for future innovation and sustainable service delivery.

Clinical Implications

Adopting secure cloud platforms in pathology facilitates efficient data sharing and collaboration, critical for timely and accurate diagnoses. Integrating AI tools can augment pathologist expertise, improve workflow efficiency, and reduce diagnostic backlogs. Clinicians should advocate for seamless AI integration within digital pathology systems to realize these benefits while maintaining patient data security.

Conclusion

Peninsula Pathology Network's transition to a secure cloud-based infrastructure combined with AI integration exemplifies a scalable, resilient model for modern pathology services. This approach supports improved diagnostic efficiency and positions pathology as a cornerstone of effective, patient-centered healthcare delivery.

References

  1. Peninsula Pathology Network/NHS England/2024 -- A Secure AI Future? Look to the Cloud

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

Newsletters

Receive the latest pathologist news, personalities, education, and career development – weekly to your inbox.

Newsletter Signup Image

About the Author(s)

Afshin Attari

Afshin Attari is Senior Director of Public Sector at Exponential-e, with over 25 years’ experience in telecoms and digital transformation. He specializes in cloud and unified communications, helping health and government organizations to modernize services and improve outcomes.

More Articles by Afshin Attari

Explore More in Pathology

Dive deeper into the world of pathology. Explore the latest articles, case studies, expert insights, and groundbreaking research.

False

Advertisement

Recommended

False

Related Content

Job Killer or Collaborator?
Digital Pathology
Job Killer or Collaborator?

May 9, 2022

3 min read

Digital pathology is here to stay – and we need to embrace it

Learning to ADAPT
Digital Pathology
Learning to ADAPT

May 20, 2022

2 min read

New machine learning tool designs sensitive viral diagnostics

The Power of AI
Digital Pathology
The Power of AI

August 25, 2022

1 min read

Stunning images show the promise of AI in pathology outside the lab

Benchmarking… Computer-Aided Diagnosis
Digital Pathology
Benchmarking… Computer-Aided Diagnosis

September 8, 2022

1 min read

Examining the past five years of publishing on computer-aided diagnosis

Affiliations:

Specialties:

Areas of Expertise:

Contributions:

False

The Pathologist
Subscribe

About

  • About Us
  • Work at Conexiant Europe
  • Terms and Conditions
  • Privacy Policy
  • Advertise With Us
  • Contact Us

Copyright © 2026 Texere Publishing Limited (trading as Conexiant), with registered number 08113419 whose registered office is at Booths No. 1, Booths Park, Chelford Road, Knutsford, England, WA16 8GS.