Development of an AI Application Supporting Blood Transfusion Decisions

AIDA Diagnostics needed an application supporting decision-making in blood transfusion and management of blood and its components in healthcare facilities.

The key challenge was combining medical knowledge, diagnostic data, and an AI model in a solution that could support doctors in analyzing the clinical situation.

The system also had to integrate with existing hospital information systems to use data required for analysis and forecasting demand for blood products.

Edge One Solutions supported AIDA Diagnostics by providing IT specialists responsible for developing a web application for the medical sector.

The scope of support included preparing a solution that supports blood transfusion decisions and optimization of blood and blood component use.

The team also supported application integration with HIS systems and development of AI-based features analyzing test results and forecasting demand for blood products.

As part of the project, a web application was developed to support blood transfusion decision-making.

The solution was integrated with existing HIS systems, enabling hospital data to be used in analytical and decision-support processes.

AI-based algorithms analyze test results and support forecasting demand for blood products, helping healthcare facilities manage blood and blood component resources more effectively.

Managing blood and blood components in healthcare facilities requires combining clinical data, medical knowledge, demand forecasting, and responsible use of limited resources.

The AIDA Diagnostics project shows how a web application integrated with HIS systems and supported by AI algorithms can help analyze transfusion-related data and plan demand for blood products.

For healthcare organizations, similar solutions can support more structured decision-making, better use of hospital data, and reduction of medical resource waste.