Medical Cluster Data Dashboards and Training: Data‑Driven Decisions in the Healthcare System
The State Data Agency, together with its partners, is implementing the project “Medical Cluster Data Exchange and Monitoring Platform” (No. 09‑039‑P‑0001), aimed at increasing the efficiency of medical cluster activities by improving data‑driven decision-making and the quality of healthcare services.
The project is funded by the Recovery and Resilience Facility plan “New Generation Lithuania”, and is being implemented under the Ministry of Health’s Progress Measure for improving the quality and efficiency of healthcare services.
Project essence and problems addressed
The current system for managing medical cluster performance indicators in Lithuania faces significant challenges: the calculation and analysis of indicators are not sufficiently automated, there is a lack of an integrated system for data validation, comparison, and reuse, and healthcare institutions incur substantial time costs when preparing reports.
The aim of the project is to address these issues by developing an integrated data exchange and monitoring platform that will enable more efficient management of cluster performance indicators and ensure their use in decision‑making.
Role of the State Data Agency in the project
As a project partner, the State Data Agency has developed performance indicator systems – dashboards – dedicated to individual medical clusters.
These dashboards enable healthcare institutions to:
- systematically monitor performance indicators
- identify areas for improvement
- compare results within the cluster context
- make data‑driven decisions
- improve the quality of services provided to patients
The solution developed is an important step toward consistent and standardized data use within the healthcare system.
Medical clusters
Lithuania operates several specialized medical clusters whose activities are aimed at improving the quality of treatment for specific diseases and injuries. In implementing the project, the main focus is placed on the following clusters:
- acute stroke
- ST‑segment elevation myocardial infarction
- non‑ST‑segment elevation myocardial infarction
- oncological diseases
- severe trauma
The performance of each cluster is evaluated by a cluster management committee, whose conclusions are used to shape national health‑care policy.
Training: practical application of the tools
To ensure the effective practical use of the developed solutions, specialized training sessions are organized for representatives of healthcare institutions and organizations.
The aim of the training is to provide participants with practical knowledge and skills needed to:
- understand the logic behind the calculation of cluster performance indicators
- use the developed dashboards
- analyze their institution’s results
- apply data‑driven decision‑making
Training sessions are organized remotely for separate target groups according to each cluster. Participants include representatives of healthcare institutions, employees of the Ministry of Health of the Republic of Lithuania, and members of the cluster monitoring committees.
During the training, participants work with real data, carry out practical tasks, and analyze their institution’s performance results in the context of the cluster.
Expected results
Upon completion of the project, a unified and efficient system for managing cluster performance indicators will be created. This system will ensure automated indicator calculation, enable effective analysis and comparison of results, reduce the administrative burden on healthcare institutions, and create conditions for improving the quality and accessibility of healthcare services.
The project is planned to be implemented by 30 April 2026, and its results will have a long‑term impact on the efficiency of Lithuania’s healthcare system and the use of data.
Last updated: 02-04-2026
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