The scope of the order includes:
Scope I: Service: Pre-implementation analysis (including analysis of the current status of infrastructure and systems, identification of requirements, and development of implementation strategy and schedule).
Execution time according to the offer, the 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) - this includes both physical infrastructure (servers, GPUs) and supports containerization and analytical environments.
Task 2: Delivery: Purchase of equipment for digitizing paper documents - scanner providing high-quality reproduction, necessary for further processing and indexing.
Task 3: Delivery: Purchase of licenses for the OCR system 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 processing and analyzing data, including tools for building and versioning AI models.
Scope IV: Extension of the HIS system, and in particular:
Task 1: Service: Integration of IT solutions with the central medical data repository, EDM and the P1 platform, according to interoperability standards. The tool enables indexing existing documents in the P1 system and the identification and generation of overdue documents of the information card in the HIS Eskulap hospital system, as well as the potential integration with the system for digitizing paper documentation being developed by CeZ.
Task 2: Delivery: Purchase, implementation, and four-year support of the 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 functional capabilities of the PACS Eskulap system with functions enabling RIS/PACS communication with the Intelligent Services Platform (PUI) using AI algorithms to recognize and identify potential diseases in the diagnosis of lung and breast cancer, ischemic stroke, fractures, and the musculoskeletal system, as well as analyze pathological changes in chest X-rays based on DICOM file analysis.
Task 5: Extension of the HIS system (to Eskulap NG - Nursing Desktop, Ambulatory Desktop, Extension of EDM with further 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, serving 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, ensuring 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 applications for doctors and patients - used to manage therapeutic and rehabilitation paths, including schedules, questionnaires, and clinical data, containing the following modules:
• Module for managing questionnaires and schedules.
• Module for therapeutic and rehabilitation paths.
• Integration module with AI, ML, and external systems.
• Patient mobile application module.
• Integration with data repositories and medical systems.

LOT-0001
IFPS/07/PZP/26
Implementation of e-services through the purchase and implementation of licenses for an advanced analytical platform for medical data using artificial intelligence algorithms - supporting comprehensive patient care implemented at the Institute of Physiology and Pathology of Hearing.
The scope of the order includes:
Scope I: Service: Pre-implementation analysis (including analysis of the current status of infrastructure and systems, identification of requirements, and development of implementation strategy and schedule).
Execution time according to the offer, the 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) - this includes both physical infrastructure (servers, GPUs) and supports containerization and analytical environments.
Task 2: Delivery: Purchase of equipment for digitizing paper documents - scanner providing high-quality reproduction, necessary for further processing and indexing.
Task 3: Delivery: Purchase of licenses for the OCR system 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 processing and analyzing data, including tools for building and versioning AI models.
Scope IV: Extension of the HIS system, and in particular:
Task 1: Service: Integration of IT solutions with the central medical data repository, EDM and the P1 platform, according to interoperability standards. The tool enables indexing existing documents in the P1 system and the identification and generation of overdue documents of the information card in the HIS Eskulap hospital system, as well as the potential integration with the system for digitizing paper documentation being developed by CeZ.
Task 2: Delivery: Purchase, implementation, and four-year support of the 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 functional capabilities of the PACS Eskulap system with functions enabling RIS/PACS communication with the Intelligent Services Platform (PUI) using AI algorithms to recognize and identify potential diseases in the diagnosis of lung and breast cancer, ischemic stroke, fractures, and the musculoskeletal system, as well as analyze pathological changes in chest X-rays based on DICOM file analysis.
Task 5: Extension of the HIS system (to Eskulap NG - Nursing Desktop, Ambulatory Desktop, Extension of EDM with further 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, serving 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, ensuring 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 applications for doctors and patients – used to manage therapeutic and rehabilitation paths, including schedules, questionnaires, and clinical data, containing the following modules:
• Module for managing questionnaires and schedules.
• Module for therapeutic and rehabilitation paths.
• Integration module with AI, ML, and external systems.
• Patient mobile application module.
• Integration with data repositories and medical systems.