Enhancing electronic health records with real-time dashboards to improve patient care and service efficiency: a protocol
Year: 2025
Type: article
Study design: Study Protocol
Abstract: Emergency departments (EDs) are critical healthcare settings that often face challenges related to patient overcrowding and sub-optimal resource use, and these issues have been linked to reduced effectiveness of care and increased patient mortality. This protocol describes a study to enhance electronic health records (EHR) with real-time dashboards developed for healthcare staff, administrators, and other stakeholders in order to address these issues. These dashboards will be analytic tools, fed with data directly from the electronic health records, allowing healthcare indicators to be monitored dynamically and interactively. The indicators will provide a comprehensive overview of patient flow, crowding levels, waiting times, and other key operational metrics to support healthcare providers by enabling real-time monitoring and decision-making. Administrators will also benefit from the dashboards by gaining insight into system bottlenecks and overall ED performance, facilitating more effective management of resources. This study is part of the eCREAM (enabling Clinical Research in Emergency and Acute care Medicine through automated data extraction) project, and 32 EDs from six different European countries will be involved in this 36-month study. A panel of experts will test the usefulness of the dashboards, set up for each end-user type, using questionnaires and semi-structured interviews. The EHRs, integrated with these ad-hoc dashboards, will empower clinical teams and policymakers to understand department operations dynamics better, ultimately contributing to improved patient outcomes and reduced crowding in emergency settings. Trial registration: Clinicaltrials.gov , identifier: NCT06372379.
Authors: Lorenzo Porta, Franco Aprà, Andrea Caccioppo, Felice Catania, Cinzia Colombo, David Fluck, Giulia Irene Ghilardi, Katarina Hricova, Isaac John, Zora Lazúrová, Jonah Lynch, Giovanni Nattino, George Notas, Chiara Pandolfini, Giovanni Porta, Vicky Rubini, Pankaj Sharma, Lok Thapa, Guido Bertolini
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W4417430388
