ENT Signs €7 Million New Contracts

Ericsson Nikola Tesla has signed new contracts in the field of digital transformation. The arrangements are worth more than €7 million excluding VAT.

A contract was signed with the Croatian Ministry of Health related to the support and corrective maintenance of the CEZIH system for 12 months. As part of the contractual obligations, the reporting system of the digital platform of the National Program for Screening and Early Detection of Lung Cancer will be upgraded. As part of the contract, health institutions that are not part of the public health system will be connected to Subsystem 1.

It also includes the service of sending test results after medical examination without an eReferral or based on internal referrals as well as their display in the eHealth Record and the Health Portal, and the service of sending up to 50,000 SMS messages per month to users. The scope of the contract also pertains to the framework service of adaptive maintenance and upgrading of the application part of Subsystem 1.

Another contract was signed with the Croatian Academic and Research Network CARNET for the implementation and maintenance of the register of documents issued in the education system. The main purpose of the register is the long-term storage of all digital documents issued by educational institutions to participants of all levels of formal education in Croatia and enabling access to these documents for participants and institutions that have a legal interest in them. The contract term is 4 years.

A community of business entities consisting of Ericsson Nikola Tesla, the Faculty of Transport and Traffic Sciences of the University of Zagreb, and Ernst & Young Consulting signed a contract with the City of Zagreb. The partners will prepare a traffic analysis to enable the creation of a feasibility study for the construction of bridges in the western part of Zagreb. ENT is responsible for the analysis of migrations in the area and the creation of origin-destination matrices by transportation mode through spatiotemporal analytics.