Real-Time Clinical Decision Support: Enhancing BI with Smart Analytics
Year: 2025
Type: article
Abstract: The integration of Business Intelligence with Clinical Decision Support Systems represents a transformative development in healthcare delivery, shifting from retrospective analysis to real-time decision making at the point of care. This technological evolution bridges critical temporal gaps between data collection and clinical intervention, enabling healthcare professionals to access actionable insights when they matter most. Advanced implementations demonstrate significant improvements across various clinical domains, including early sepsis detection, medication interaction tracking, and hospital readmission risk stratification. Despite promising outcomes, healthcare organizations face substantial implementation challenges, including alert fatigue, clinical accuracy concerns, workflow integration complexities, and data latency issues. Successful implementation strategies emphasize user-centered dashboard design, workflow-embedded analytics, adaptive learning systems, and approaches that augment rather than replace clinical expertise. As these technologies mature, future applications will likely include advanced predictive modeling for disease progression, increasingly personalized treatment recommendations, and integration with genomic information to enable precision medicine approaches that fundamentally transform healthcare delivery.
Author: Satya Manesh Veerapaneni
Institution: University of Ulster
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408778229