[Pilot research: construction of emergency rescue database]

Area of Science:

• Emergency Medicine
• Clinical Research Informatics
• Health Data Management

Background:

• Effective clinical research requires robust, real-world data.
• Existing emergency department data is often fragmented and difficult to access.
• A centralized, multi-disease database is needed to support first-aid research.

Purpose of the Study:

• To construct a comprehensive database of diverse diseases.
• To provide real-world data for first-aid clinical research.
• To establish a model for multi-disease database construction.

Main Methods:

• Data extraction from multiple hospital systems (HIS, LIS, EMS, ENS, bedside monitoring).
• Inclusion of structured and non-structured patient information.
• Database creation using forms, coding, and data processing techniques.

Main Results:

• Established the Emergency Rescue Database at PLA General Hospital.
• Included data from 530,585 triage patients and 22,941 critical care patients (Jan 2014-Jan 2018).
• Database comprises 12 tables covering demographics, triage, vitals, labs, and more.

Conclusions:

• High-quality emergency databases are foundational for data-driven scientific research.
• The developed Emergency Rescue Database model can guide other institutions in building similar multi-disease databases.
• This initiative enhances the potential for robust emergency medicine clinical research.