Implementation of e-services through the purchase and implementation of licenses for an advanced medical data analytics platform using artificial intelligence algorithms - supporting comprehensive patient care for those implanted at the Institute of Physiology and Pathology of Hearing

Scope of the subject of the order includes: Scope I: Service: Pre-implementation analysis (including analysis of the current state of infrastructure and systems, identification of requirements, and development of an implementation strategy and schedule). Implementation time according to the offer, preferred time is 3 weeks from the date of signing the contract. Scope II: Purchase of infrastructure – server equipment, in particular: Task 1: Delivery: purchase of infrastructure - delivery of server equipment – equipment needed for all activities requiring computing power and data storage (arrays) – applies to both physical infrastructure (servers, GPUs) and supports containerization and analytical environments. Task 2: Delivery: Purchase of equipment for digitizing paper documents – a scanner providing high-quality imaging, necessary for further processing and indexing. Task 3: Delivery: Purchase of OCR system licenses for automatic text recognition in medical documents – enables the conversion of images into text that can be indexed and analyzed. Scope III: Delivery: Purchase of licenses for analytical software used for data processing and analysis, including tools for building and versioning AI models. Scope IV: Expansion of the HIS system, in particular: Task 1: Service: Integration of IT solutions with the central medical data repository, EDM, and P1 platform, in accordance with interoperability standards. A tool enabling the indexing of existing documents in the P1 system and the identification and generation of pending information card documents in the HIS Eskulap hospital system, as well as the possibility of integration with the system being developed by CeZ for digitizing paper documentation. Task 2: Delivery: Purchase, implementation, and four-year support of a system (NAC class, for 1,000 devices) for managing access and monitoring data integrity – crucial for ensuring authorization, authentication, logging, and security of communication between systems. Task 3: Delivery: Extension and expansion of licenses for EDR class protective software, providing advanced threat detection, vulnerability management, and protection of workstations and servers in the hospital infrastructure - ESET PROTECT Elite license (including Extended Detection & Response, vulnerability management). Extension of existing licenses until 30.06.2029 - ESET PROTECT Elite license (including Extended Detection & Response, vulnerability management). Task 4: A tool that extends the functionality of the Eskulap PACS system with functions enabling RIS/PACS communication with the Intelligent Services Platform (PUI) using AI algorithms for recognizing and identifying potential diseases in the diagnosis of lung and breast cancer, ischemic stroke, fractures, and the musculoskeletal system, and analysis of pathological changes in chest X-rays based on the analysis of DICOM files. Task 5: Expansion of the HIS system (to Eskulap NG - Nursing Desktop, Outpatient Desktop, EDM Expansion with additional documents, EDM Gateway, RZM EXT API, two-factor authentication MFA) and work related to integration with existing systems. Scope V: Delivery: Purchase of licenses for a mobile application for patients, used for communication with medical staff and integration with source systems (e.g., HIS, EDM Scope VI: Delivery: Purchase of licenses for a web application for doctors, providing access to medical data and enabling communication and collaboration with other hospital systems - HIS, others Scope VIII: Delivery: Purchase of licenses, as well as implementation of an application for doctors and patients – used for managing therapeutic and rehabilitation pathways, including schedules, questionnaires, and clinical data, containing the following modules: • Questionnaire and schedule management module. • Therapeutic and rehabilitation pathway module. • Integration module with AI, ML, and external systems. • ...