Developing a BI-based framework for assessing the smart levels of hospitals

Area of Science:

• Healthcare Management
• Information Systems
• Hospital Administration

Background:

• Business intelligence (BI) applications enhance hospital smartness.
• A validated framework for assessing hospital smart levels is currently lacking.
• This gap hinders organized problem-solving and strategic development in healthcare.

Purpose of the Study:

• To develop a business intelligence-based framework for assessing hospital smart levels.
• To provide a tool for evaluating current hospital capabilities and guiding future development.
• To offer managerial insights for hospital directors to improve smartness.

Main Methods:

• A mixed-methods approach combining literature review, pilot testing, and a multi-case study.
• Framework validation was conducted across eight hospitals in Vietnam.
• Data collection involved assessing the current status of hospitals.

Main Results:

• The developed BI-based framework effectively explains the current smartness status of hospitals.
• The framework's applicability was confirmed through a multi-case study.
• Managerial implications for enhancing hospital smartness were identified.

Conclusions:

• The framework serves as a benchmark for evaluating hospital smartness and a guide for future development.
• It empowers hospitals to address challenges systematically.
• Further validation in diverse international settings, including patient perspectives, is recommended for broader generalization.