Evaluating the KBN BRIDGE Platform Using the Technology Acceptance Model and the Information Systems Success Model

Area of Science:

• Biomedical Informatics
• Health Data Management
• Biobanking Technology

Background:

• The Korea Biobank Network (KBN) BRIDGE platform facilitates standardized clinical data sharing among Korean biobanks.
• The platform utilizes the KBN Common Data Model (CDM) for data standardization and exchange.
• Access to institutional or consortia-led data is a key feature.

Purpose of the Study:

• To assess user acceptance of the KBN BRIDGE platform.
• To evaluate the platform's success using established theoretical models.
• To identify factors influencing user satisfaction and adoption.

Main Methods:

• Employed the Technology Acceptance Model (TAM) and Information Systems Success Model (ISSM).
• Collected data on user perceptions of information quality, perceived usefulness, and satisfaction.
• Compared satisfaction and service quality between experienced and less experienced users.

Main Results:

• Information quality and perceived usefulness demonstrated strong positive correlations with user satisfaction.
• Significantly higher satisfaction levels were reported by experienced users compared to less experienced users.
• Service quality was also perceived as higher by experienced users.

Conclusions:

• The KBN BRIDGE platform shows strong user acceptance, particularly influenced by information quality and perceived usefulness.
• User experience significantly impacts satisfaction and perceived service quality, highlighting the importance of user training and support.
• The findings support the successful implementation of the KBN BRIDGE platform for biobank data sharing and research.