RT Journal Article SR Electronic T1 New life for old cellular pathology: a transformational approach to the upcycling of historic e-pathology records for contemporary clinical uses JF Journal of Clinical Pathology JO J Clin Pathol FD BMJ Publishing Group Ltd and Association of Clinical Pathologists SP 250 OP 254 DO 10.1136/jclinpath-2021-207385 VO 75 IS 4 A1 David Anthony Rew A1 Alan Arthur Hales A1 David Cable A1 Keith Burrill A1 Adrian C Bateman YR 2022 UL http://jcp.bmj.com/content/75/4/250.abstract AB Aims Cellular pathology (‘e-pathology’) record sets are a rich data resource with which to populate the electronic patient record (EPR). Accessible reports, even decades old, can be of great value in contemporary clinical decision making and as a resource for longitudinal clinical research. The aim of this short paper is to describe a solution in a major UK University Hospital which gives immediate visibility and clinical utility to 30 years of e-pathology recordsMethods Over the past decade, we have created a timeline structured and iconographic data framework for the ‘whole-of-life’ visualisation of the entirety of an EPR. We have enhanced this interface with the sequential extraction of 373 342 e-pathology reports from legacy Ferranti (1990–1997) and Masterlab (1997–2004) files. They have been uploaded into our SQL file servers, following appropriate data quality and patient identity reconciliation checks.Results We have restored a large repository of previously inaccessible e-pathology records to clinical use and to immediacy of access as a foundation element of our timeline structured EPR. This process has also allowed us to populate and validate an EPR-integral breast cancer data system of 20 000 cases with e-pathology records dating back to 1990.Conclusions The revitalisation of old e-pathology reports into a timeline structured EPR creates preserves and upcycles the investment in pathology reporting which is otherwise progressively lost to clinical use. E-pathology records provide reliable, life-long evidence of critical transition points in individual lives and disease progression for clinical and research use, when they can be instantly accessed.Data sharing not applicable as no datasets generated and/or analysed for this study.