[Construction and effect evaluation of tuberculosis information platform in Ningxia].

Area of Science:

• Public Health
• Health Informatics
• Infectious Disease Management

Background:

• Tuberculosis (TB) remains a significant global health challenge.
• Effective management of TB requires robust data collection and analysis.
• Information technology offers potential solutions for improving healthcare systems.

Purpose of the Study:

• To evaluate the impact of an information technology platform on tuberculosis patient management.
• To assess improvements in diagnostic accuracy, treatment adherence, and patient outcomes.
• To explore the value of interconnected health information systems in controlling infectious diseases.

Main Methods:

• Utilized data from Ningxia's national tuberculosis special report system and information management platform (March-December 2019).
• Integrated 18 (90%) TB-specific hospitals using Hospital Information Systems (HIS) for unified data collection.
• Implemented a closed-loop management system for information interconnection and standardized treatment comparison.

Main Results:

• The system achieved a 94.8% data consistency rate with automated data collection.
• Clinical diagnostic rate increased from 18.23% to 39.1% after implementing an AI imaging screening subsystem (P<0.001).
• Regular medication rates rose to 86.89% (P<0.05), and cure rates for positive TB patients improved to 86.03% (P<0.001).

Conclusions:

• The Ningxia tuberculosis information management platform successfully enabled information interconnection.
• The system significantly enhanced standardized diagnosis, treatment, and management of tuberculosis patients.
• Digital health solutions are valuable for improving public health outcomes in infectious disease control.