The National Pathology Imaging Co-operative (NPIC) is committed to developing and sharing best practice guidance in the implementation and delivery of clinical digital pathology. We are champions of evidence-based medicine and seek to apply a rational approach to a rapidly evolving medical discipline whilst focusing on patient safety and the maintenance of professional standards.
NPIC Educational Webinar Series
Our educational webinar series on digital pathology has now concluded.
Please check here or on our LinkedIn or Twitter for future webinars and other opportunities for online educational content.
Training resources
The Leeds Guide to Digital Pathology Volume 2: Building a National Digital Pathology Network
NPIC presents a second volume on Digital Pathology to update our project, and share insights into more complex and topical aspects of digital pathology deployment. NPIC has a mission to develop best practise guidance in digital pathology and AI to share with other organisations, and to champion evidence based medicine whilst focussing on patient safety and professional standards. The team hopes that Volume II of the Leeds Guide is a useful and interesting resource.
To learn more about the benefits and strategic context of digital pathology in clinical practice you can read: Future-proofing pathology: the case for clinical adoption of digital pathology Williams BJ, Bottoms D, Treanor D Journal of Clinical Pathology 2017;70:1010-1018.
For information on practical aspects of ISO 15189 accreditation of digital pathology diagnostic services you can read our paper:Maintaining quality diagnosis with digital pathology: a practical guide to ISO 15189 accreditation Williams BJ, Knowles C, Treanor D Journal of Clinical Pathology 2019;72:663-668.
For detailed discussion of our digital pathology diagnostic validation protocol, including hints and tips for digital diagnosis for the novice, read our publication: Practical guide to training and validation for primary diagnosis with digital pathology. Williams BJ, Treanor D Journal of Clinical Pathology 2020;73:418-422.