Novel data visualization and risk analytic algorithm in a low-middle income country.

Area of Science:

• Clinical Informatics
• Healthcare Technology Implementation
• Intensive Care Unit Management

Background:

• Tertiary care Intensive Care Units (ICUs) often face resource limitations.
• Effective data aggregation and visualization tools are crucial for improving clinical care and operational efficiency.
• Implementing new technology in healthcare requires a structured framework and user engagement.

Purpose of the Study:

• To describe the implementation of the T3™ data aggregation, visualization, and risk analytic platform in a single-center ICU.
• To outline a framework for implementing such a tool in clinical settings, particularly in resource-limited environments.
• To share experiences and identify facilitators and barriers to the adoption of clinical data platforms.

Main Methods:

• Identification and training of 'superusers' to champion the T3™ platform.
• Implementation involved continuous monitoring, evaluation, and user engagement strategies.
• The platform's use was expanded beyond initial applications to include nursing rounds, handovers, and educational activities.

Main Results:

• Persistent display of T3™ data demonstrated enhanced nursing operational efficiency.
• The tool's application expanded to various clinical and educational contexts, including mortality and morbidity meetings.
• Challenges encountered included lack of infrastructure, limited technological comprehension, and paucity of multidisciplinary teams.

Conclusions:

• A clear implementation framework and pre-designed studies are essential for the widespread adoption and effectiveness of clinical data platforms like T3™.
• Overcoming infrastructure and team-based challenges is critical for successful technology integration in ICUs.
• The T3™ platform shows potential for improving clinical care and operational efficiency when implemented with a strategic approach.