This task will demonstrate a use case of data sharing for the continuous improvement of clinical practice.
High quality healthcare relies on consistent implementation of evidence for best practices, but achieving this consistency across diverse healthcare settings can be challenging. We will bridge this gap by creating a unified platform that allows hospitals to benchmark their practices against evidence-based data and each other.
The Quality Benchmarking Dashboard will meet important clinical needs by offering real-time, customisable data access, potentially supporting evidence-based decision-making, and enabling quality control and improvement for various users and settings. It fosters research, cross-border collaboration, and patient-centred evidence- based care to enhance healthcare quality across Europe.
To that end we will complete the following sub-tasks:
T6.5.1
Identify clinically meaningful scenarios from scientific literature and clinical data, e.g. time- critical therapy, emergency response times, pain management, medical error detection.
T6.5.2
Develop automated data processing pipelines using machine-readable transactions based on the ETL process (WP2).
T6.5.3
Create a user facing dashboard application that will utilise the infrastructure for automated data visualisation to compare pan-European clinical benchmarks to local patient data.
T6.5.4
Create APIs that allows data users to integrate the clinical benchmark calculations into their own existing patient data management systems (e.g. Electronic Health Records)
T6.5.5
Establish a consistent, anonymous benchmarking data set based on data disclosed through the federated infrastructure to reflect the heterogenic European population of the participating hospitals.
T6.5.6
Generate a repository of machine-readable guideline recommendations for disclosure through the knowledge platform (WP5), in addition to the Quality Benchmarking Dashboard.
Use case leader
