Development and Implementation of a Dynamically Updated Big Data Intelligence Platform Using Electronic Medical...

Area of Science:

• Cardiology
• Medical Informatics
• Big Data Analytics

Background:

• Secondary hypertension is critical to diagnose, as cardiovascular disease remains a leading cause of death.
• Accurate diagnosis of secondary hypertension is essential for effective patient management and treatment.
• Developing advanced data platforms is crucial for improving research in hypertension.

Purpose of the Study:

• To develop a big data intelligence platform for secondary hypertension using electronic medical records.
• To facilitate future basic and clinical research on secondary hypertension.
• To create a dynamically updating database for hypertension research.

Main Methods:

• The Hypertension DATAbase at Urumchi (UHDATA) platform was developed using hospital data from December 2004.
• Electronic data acquisition, database synchronization, and ETL technologies were employed.
• The platform integrates demographic, medical, and sample data, including blood and tissue specimens.

Main Results:

• The UHDATA platform includes 295,297 hypertensive patients, with 14% diagnosed with secondary hypertension.
• Of 75,802 patients visiting the Hypertension Center, 43% were diagnosed with secondary hypertension.
• The database contains 1458 elements with a 90% fill rate and updates bi-weekly.

Conclusions:

• A dynamically updating electronic medical record database for hypertension was developed using computer information technology.
• This platform is valuable for advancing future research on secondary hypertension.
• The UHDATA platform supports continuous data inclusion and updates for ongoing research.