American Journal of Advanced Multidisciplinary Innovation and Research

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Artificial Intelligence–Assisted Triage in Primary Healthcare Settings

Author(s) Daniel Fischer
Country United States
Abstract Artificial intelligence (AI) is increasingly being explored as a decision-support technology for improving the organization, accessibility, and responsiveness of healthcare services. Triage, which involves assessing patients according to the urgency and severity of their health needs, represents an important area in which AI-assisted systems may support healthcare professionals. This study examines the potential role of artificial intelligence–assisted triage in primary healthcare settings, with particular attention to patient prioritization, waiting-time reduction, clinical decision support, and resource allocation. A quantitative analytical framework was developed to examine the operational contribution of AI-assisted triage using structured performance indicators. The framework considers triage accuracy, prioritization consistency, waiting-time reduction, referral appropriateness, and clinician confidence as major outcome measures.
An illustrative dataset was used to demonstrate the proposed analytical approach rather than to claim results from an actual clinical trial. The analysis indicates that AI-assisted triage has considerable potential to improve the consistency and speed of preliminary patient assessment while allowing healthcare professionals to focus greater attention on complex cases. However, implementation requires careful attention to data quality, algorithmic bias, explainability, privacy, cybersecurity, and human oversight. The study concludes that AI should function as a clinical decision-support mechanism rather than an autonomous replacement for healthcare professionals. Responsible implementation, continuous validation, and context-specific governance are essential for achieving safe and equitable AI-assisted triage in primary healthcare.
Keywords Artificial Intelligence, AI-Assisted Triage, Primary Healthcare, Clinical Decision Support, Machine Learning, Patient Prioritization, Digital Health, Healthcare Accessibility
Field Engineering
Published In Volume 1, Issue 3, May-June 2020
Published On 2020-05-24
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