Implementation of the VIVALDI Social Care data pipeline for monitoring and research of infections in care homes for older adults in the UK.

For nursing students

Study summary

The article, "Implementation of the VIVALDI Social Care data pipeline for monitoring and research of infections in care homes for older adults in the UK," published in the International Journal of Medical Informatics on January 1st, 2026 (DOI: 10.1016/j.ijmedinf.2026.106510), details a new system designed to collect and analyze health data from residents of care homes for older adults in England. The primary goal was to create a reliable pipeline that would enable researchers and public health officials to monitor infections within these facilities more effectively.

The VIVALDI Social Care data pipeline works by automatically exporting daily data containing personal identifiers (person-level) and facility information (care-home level) from the digital care record systems of participating providers. This exported data is then securely transmitted to a platform hosted by National Health Service England. Before this transmission, project-specific opt-outs and national opt-outs are applied to ensure patient privacy is respected.

Once received, these resident-level datasets are linked with broader person-level routine healthcare data from other sources. After this linkage process, which connects individual care home residents' records with their wider health information, the combined dataset is exported monthly to a secure analysis platform. This allows for comprehensive research and ongoing monitoring of various health issues, particularly infections.

As of March 2026, the project had successfully enrolled 188 care homes, representing over 6762 current residents whose data was being collected through this pipeline. The authors note that activation of the data pipeline is an ongoing process for further care homes as they enroll in the initiative.

The study demonstrates a key finding: it has proven feasible to automate the linkage of detailed data from individual care homes with national routine health datasets. This automated and secure approach represents a significant step forward in leveraging digitized social care information for public health surveillance and research purposes, particularly concerning infections that can spread easily among vulnerable older adults.

However, the authors also highlight important considerations for the future success of such initiatives. They emphasize that sustained investment is necessary to maintain and expand this data infrastructure. Furthermore, they stress the critical need for continued collaboration between a diverse range of stakeholders—including care home providers, digital system developers, health researchers, public health agencies, and national bodies like NHS England—to fully realize the potential benefits offered by the digitization of social care records. This collaborative effort is essential to ensure that such data pipelines remain robust, secure, ethically sound (particularly regarding privacy), and ultimately contribute meaningfully to improving healthcare outcomes for older adults in residential settings.