CDKD: a clinical database of kidney diseases

Area of Science:

• Nephrology
• Medical Informatics
• Biostatistics

Background:

• Kidney dysfunction causes significant health issues including anemia, hypertension, and bone disease.
• Effective management requires comprehensive data on patient demographics, medical history, and laboratory results.
• Quantitative renal physiology research is crucial for understanding and modeling kidney function.

Purpose of the Study:

• To develop a secure database system for storing patient and laboratory data related to kidney disease.
• To facilitate research in quantitative renal physiology and statistical modeling of renal function.
• To provide easy access to kidney-related physiological data for the scientific community.

Main Methods:

• Developed the Clinical Database of Kidney Diseases (CDKD) prioritizing patient confidentiality and data security.
• Integrated comprehensive patient information including demographics, medical history, lab results, and vital signs.
• Enabled comparative analysis of patient record parameters and statistical analysis of all data.

Main Results:

• The CDKD system effectively stores diverse patient data, including personal and laboratory investigatory details.
• The database supports comparative and statistical analyses of patient records.
• Web-based accessibility allows physicians to view, edit, and annotate records remotely.

Conclusions:

• The CDKD enhances the availability of kidney-related physiological data for researchers.
• The system ensures secure and efficient management and analysis of patient records.
• Facilitates remote access for physicians, improving patient record management and research capabilities.