Supporting Doctor's Decisions Based on Electronic Medical Documentation in Polish.

Area of Science:

• Health Informatics
• Public Health
• Medical Software Engineering

Background:

• The Polish public healthcare system utilizes a widely adopted software solution.
• Existing systems require enhancements for advanced patient management and disease surveillance.
• The integration of automated medical assessments is crucial for efficient healthcare delivery.

Purpose of the Study:

• To introduce and detail novel functionalities integrated into an established healthcare software.
• To enhance the system's capabilities for medical score evaluation and risk stratification.
• To improve infectious disease monitoring and anomaly detection within the public healthcare framework.

Main Methods:

• Implementation of automated medical score calculation algorithms.
• Development of modules for real-time infectious disease surveillance.
• Integration of patient classification algorithms for risk group assignment.
• Inclusion of anomaly detection mechanisms for patient data.
• Addition of a module for analyzing prescribed medications.

Main Results:

• The enhanced software now automatically computes various medical scores.
• Epidemiologic monitoring for infectious diseases is operational.
• Patients are accurately classified into specific risk groups.
• The system effectively detects data anomalies.
• Prescribed drug analysis provides valuable clinical insights.

Conclusions:

• The updated software significantly expands the capabilities of Polish public healthcare IT.
• These new functionalities support data-driven decision-making in public health and clinical practice.
• The system offers a comprehensive tool for patient management, disease surveillance, and pharmacovigilance.