Clinical data evaluation and the PL health control information system.

Area of Science:

• Medical Informatics
• Health Information Systems
• Data Management

Background:

• Comprehensive health check-up systems require robust medical information systems.
• Evaluating clinical data against subject-specific normal ranges is crucial.
• Existing systems face challenges with data integrity and real-time access.

Observation:

• Traditional file networks can lead to data loss and unstable access times.
• Real-time immediacy and asserted reliability are essential for personal health control.
• The need for efficient data retrieval for both online and batch access is critical.

Findings:

• An Indexed Direct Access Method (IDAM) provides a stable solution for medical information systems.
• IDAM utilizes multiple indices and a unique index-to-record relationship, preventing data loss.
• This method ensures stable access times for various network file types.

Implications:

• IDAM enhances the reliability and efficiency of health control services.
• Improved data integrity supports both online and batch data access for research.
• The system facilitates advanced retrieval functions with multiple key capabilities.