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Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to
Andrew P Bain1, Derek Ngai2, Philip A Bernard3
1Clinical Informatics Center, UT Southwestern Medical Center, Dallas, TX, USA; Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
The Medical Clinics of North America
|February 1, 2026
Summary
Clinical decision support systems (CDSS) improve patient care and outcomes. Understanding automation bias and alert fatigue, alongside AI-enabled CDSS, enhances clinical decision-making for better patient experiences.
Area of Science:
- Health Informatics
- Clinical Decision Support
- Artificial Intelligence in Medicine
Background:
- Clinical decision support systems (CDSS) are integral to modern healthcare, influencing care processes and patient outcomes.
- Generalist clinicians utilize CDSS for managing acute/chronic conditions and for prevention/screening protocols.
- Successful CDSS implementation requires addressing automation bias, alert fatigue, and establishing strong governance.
Purpose of the Study:
- To highlight the impact of CDSS on clinical care and patient outcomes.
- To emphasize the role of CDSS in generalist practice for comprehensive patient management.
- To explore the potential of AI-enabled CDSS for personalized and innovative healthcare solutions.
Main Methods:
- Review of existing literature on CDSS functionalities and impacts.
- Analysis of challenges associated with CDSS implementation, including user-related factors.
- Exploration of emerging AI technologies and their integration into CDSS.
Main Results:
- CDSS demonstrate a positive impact on care processes and patient outcomes.
- Effective management of acute and chronic conditions is facilitated by CDSS.
- AI-enabled CDSS present new avenues for personalized, high-quality clinical decision support.
Conclusions:
- CDSS are crucial for optimizing clinical care and improving patient outcomes.
- Addressing challenges like automation bias and alert fatigue is key for CDSS success.
- AI integration in CDSS promises enhanced personalization, innovation, and improved experiences for clinicians and patients.
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