ABSTRACT NUMBER: ESOC2026A1883 IMPROVING RECRUITMENT EFFICIENCY IN STROKE TRIALS WITH AN AUTOMATED SCREENING AND MANAGEMENT TOOL

Abstract Background and aims Researchers must rapidly identify eligible participants for time critical clinical stroke trials. At Sheffield Teaching Hospitals, around 3,000 patients are admitted each year via the stroke/transient ischaemic attack (TIA) pathway. The team aims to screen all patients for all recruiting trials. Historically, this process relied on manual screening and documentation, which was time-intensive and prone to error and inefficiency. Methods To address these challenges, the team developed the Stroke Trial Tracker (STT), an electronic screening and patient management tool. It integrates hospital electronic health records with user-entered data and uses bespoke algorithms to automatically assess eligibility across multiple trials. It was developed using a Plan, Do, Study, Act (PDSA) cycle in collaboration with the NIHR Sheffield Biomedical Research Centre and the Trust’s scientific computing team. Results Implementing STT reduced weekly screening from six hours to one, over 80% reduction. The system eliminated duplication, reduced errors, and provided real-time visibility and coordination across teams. Benefits included improved patient experience through fewer repeated or missed approaches, better protocol adherence, and enhanced data quality and auditability. Staff feedback was overwhelmingly positive, with all preferring the system over the previous manual method. Conclusions STT improved the efficiency, accuracy, and coordination of screening stroke patients trial eligibility. Its modular design supports expansion to other specialties and Trusts. National evaluation showed strong interest across other UK stroke centres, indicating wide applicability and scalability. STT demonstrates how a digitally enabled, nurse-led initiative can transform clinical research operations, improving both staff workflows and patient trial participation. Conflict of interest Emma Richards. Nothing to declare

Authors

Institutions

Publication Details

Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.888
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ABSTRACT NUMBER: ESOC2026A1883 IMPROVING RECRUITMENT EFFICIENCY IN STROKE TRIALS WITH AN AUTOMATED SCREENING AND MANAGEMENT TOOL

Jo Howe, Simon Bell, Kirsty Harkness, Isabela Ramnarine et al.
European Stroke Journal
Acute Ischemic Stroke Management
article

ABSTRACT NUMBER: ESOC2026A1883 IMPROVING RECRUITMENT EFFICIENCY IN STROKE TRIALS WITH AN AUTOMATED SCREENING AND MANAGEMENT TOOL

Jo Howe, Simon Bell, Kirsty Harkness, Isabela Ramnarine, Martin Bayley, Emma Richards
article en

Abstract

Abstract Background and aims Researchers must rapidly identify eligible participants for time critical clinical stroke trials. At Sheffield Teaching Hospitals, around 3,000 patients are admitted each year via the stroke/transient ischaemic attack (TIA) pathway. The team aims to screen all patients for all recruiting trials. Historically, this process relied on manual screening and documentation, which was time-intensive and prone to error and inefficiency. Methods To address these challenges, the team developed the Stroke Trial Tracker (STT), an electronic screening and patient management tool. It integrates hospital electronic health records with user-entered data and uses bespoke algorithms to automatically assess eligibility across multiple trials. It was developed using a Plan, Do, Study, Act (PDSA) cycle in collaboration with the NIHR Sheffield Biomedical Research Centre and the Trust’s scientific computing team. Results Implementing STT reduced weekly screening from six hours to one, over 80% reduction. The system eliminated duplication, reduced errors, and provided real-time visibility and coordination across teams. Benefits included improved patient experience through fewer repeated or missed approaches, better protocol adherence, and enhanced data quality and auditability. Staff feedback was overwhelmingly positive, with all preferring the system over the previous manual method. Conclusions STT improved the efficiency, accuracy, and coordination of screening stroke patients trial eligibility. Its modular design supports expansion to other specialties and Trusts. National evaluation showed strong interest across other UK stroke centres, indicating wide applicability and scalability. STT demonstrates how a digitally enabled, nurse-led initiative can transform clinical research operations, improving both staff workflows and patient trial participation. Conflict of interest Emma Richards. Nothing to declare

European Stroke JournalVol. 11(Supplement_1)
Sheffield Teaching Hospitals NHS Foundation Trust (GB), University of Sheffield (GB)
Openalex Percentile: Top 10%
Acute Ischemic Stroke Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.