Pathology Networks are the heart of multiple labs and health services. They are data-rich but information-poor. To address this, Networks must standardise and integrate data to drive better diagnostics and patient care outcomes.

Pathology Networks access data from various Laboratory Information Management Systems (LIMS). Such data requires consolidation and normalisation to enable networks to evaluate performance and quality. Networks can then use this data to identify unwarranted variation and implement standardised best practices, supporting service reconfiguration using top performance indicators.

Data gives Networks longitudinal views of patient results across different labs, which can help improve diagnosis and patient care and enable benchmarking with other networks. It also underpins collaboration within and across pathology specialities and facilitates the inclusion of patient-entered self-monitoring data, such as from diabetes type-1 patients.

These unified data approaches can use an open standard data model and structure to streamline lab operations and enhance patient outcomes.

To achieve these objectives, Networks must enhance their informatic standards by adopting consistent classification and coding sets such as SNOMED or LOINC. Normalising test codes and normal ranges and enabling consistent coding sets would harmonise operational policies, processes, and equipment, ensuring comparability and quality across the network.

PANACEA™ from Future Perfect offers a unified, normalised view of the data across different labs, services, and informatics solutions to enhance performance, quality, standardisation, and bestpractice. It provides comprehensive data views and analytics to support clinical decision support and AI applications, such as diagnosis, triaging, and disease prediction.

Already live in a national genomic lab testing service, PANACEA™ can integrate with other data sources, such as wearable devices or medical records, and more quickly implement national standards and services, including test directories.

Leveraging an open standard data model and structure, PANACEA™ adds further value by offering network-wide test requests, clinical decision support, AI capabilities, and comprehensive diagnostic workflow development. It includes copyright-free AI libraries of NHS algorithms, integrates data from wearables, and supports clinical reporting with live eMDTs.