Medical cluster data exchange and monitoring platform

The Project is funded by the Economic Recovery and Resilience Facility "New Generation Lithuania".

The State Data Agency, together with its partners: the State Enterprise Centre of Registers, the Ministry of Health of the Republic of Lithuania, the Hospital of Lithuanian University of Health Sciences Kauno klinikos, the Public Institution Vilnius University Hospital Santaros Klinikos, the Public Institution Panevėžys Republican Hospital and the Public Institution Klaipėda University Hospital, implements project No. 09-039-P-0001 “Medical Cluster Data Exchange and Monitoring Platform” (hereinafter referred to as the “Project”).

The Project is implemented in accordance with Progress Measure No. 11-002-02-11-01 "Improving the quality and accessibility of healthcare services" under the 2022–2030 Development Program for Increasing Healthcare Quality and Efficiency, launched by the Ministry of Health of the Republic of Lithuania.

Project implementation period – 2 April 2024–30 April 2026.

Project value – EUR 12,717,690.02 (of which VAT – EUR 1,071,151.52).

Goal of the Project – to increase cluster performance efficiency by managing cluster performance quality indicators, enabling data–based decision–making and data reuse for improving the quality of healthcare services.

Key challenges to be solved by the Project:

  1. The existing cluster performance quality indicators management system does not create prerequisites for improving the quality of active treatment;
  2. The functionalities of calculating cluster performance quality indicators, their validation, analysis, comparison, informing and reuse are not realized either in ESPBI IS, or in cluster HIS, or in any other information system;
  3. Cluster personal healthcare institutions (hereinafter referred to as “PHCI”), Ambulance Services and other institutions participating in the health system experience significant time costs when performing cluster performance indicator calculating and reporting tasks.

Currently, 8 specialized medical clusters operate in Lithuania: myocardial infarction with ST–segment elevation, myocardial infarction without ST–segment elevation, acute cerebral stroke, intensive therapy and care, oncological diseases, severe injuries, pregnant women, maternity and new–borns, and organ donation services. Evaluation of the performance of each cluster is carried out by the cluster management committee, whose composition and work regulations are approved by the Minister of Health of the Republic of Lithuania. Conclusions of the cluster management committees are further submitted to the Ministry of Health of the Republic of Lithuania, which accordingly forms the state policy in the field of personal health care, organizes, coordinates and controls its implementation, determines the needs of personal health care activities, health care resources, access to health care, and quality requirements.

Project Target Group – users of public services improved during the Project, the management of cluster PHCI, medical and administrative staff, employees of cluster committees and the Ministry of Health of the Republic of Lithuania, researchers and scientists.

Envisaged Project change results:

  • Optimal 8 cluster performance quality indicator sets will be compiled.
  • Variables necessary for the purpose of determining values of the updated cluster performance quality indicators will be identified.
  • Cluster PHCI performance stages will be unified, and data involved in determining values of cluster indicators will be developed.
  • Variables needed to determine values of cluster performance quality indicators will be managed by ESPBI IS.
  • In all cluster PHCI information systems, criteria necessary for determining the values of cluster performance quality indicators will be created digitally and in a digital format in accordance with the unified requirements.
  • Values of cluster performance indicators will be automatically calculated.
  • Reports on cluster performance indicator values will be generated and stored in the information system.

Last updated: 09-01-2025