Integrating clinical decision support systems, nursing vigilance, and physician prescribing patterns to reduce preventable adverse drug events: a structured evidence-based narrative review on human-AI interface in medication safety - Scorecard - MDSpire
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Integrating clinical decision support systems, nursing vigilance, and physician prescribing patterns to reduce preventable adverse drug events: a structured evidence-based narrative review on human-AI interface in medication safety
Clinical Scorecard: Enhancing Medication Safety: A Comprehensive Review of Clinical Decision Support Systems, Nursing Oversight, and Physician Prescribing Trends to Mitigate Preventable Adverse Drug Events in the Context of Human-AI Interaction
At a Glance
Category
Detail
Condition
Preventable Adverse Drug Events (ADEs)
Key Mechanisms
Clinical decision support systems (CDSS) and artificial intelligence (AI) integration
Target Population
Patients in acute, community, and long-term care settings
Care Setting
Healthcare systems utilizing digital health technologies
Key Highlights
Preventable ADEs account for significant hospital morbidity and mortality.
CDSS effectiveness in reducing ADEs is mixed due to alert fatigue and technology-induced errors.
AI and machine learning present both opportunities for safety enhancement and new risks.
Nursing vigilance plays a critical role in medication safety.
The Clinical Safety Intelligence Loop (CSIL) framework is proposed for integrating AI into medication safety.
Guideline-Based Recommendations
Diagnosis
Evaluate the effectiveness of CDSS in reducing preventable ADEs.
Management
Implement systems-level approaches integrating AI, clinician cognition, and organizational culture.
Monitoring & Follow-up
Assess the impact of alert fatigue and technology-induced errors on medication safety.
Risks
Address algorithmic bias and technology-induced medication errors.
Patient & Prescribing Data
Patients receiving medications in various healthcare settings.
Integration of AI and CDSS can enhance medication safety but requires careful governance.
Clinical Best Practices
Utilize adaptive decision support to improve clinician engagement.
Monitor and mitigate alert fatigue among healthcare providers.
Foster collaboration between nursing and prescribing teams to enhance vigilance.
