Integration Of Artificial Intelligence Surveillance Systems To Enhance Health Security In Hospitals

Abstract

Background: Hospitals face escalating challenges in maintaining health security, including infection control, violence prevention, unauthorized access, and emergency response. Traditional surveillance systems often lack the capacity for real-time, proactive risk management. This study evaluates the integration of artificial intelligence (AI)-based surveillance systems as a means to enhance health security in hospital environments.

Methods: A mixed-methods design was employed within general hospital settings, including wards, emergency departments, and public areas. An AI-enabled surveillance system was implemented to analyze real-time video data for detecting safety and security events. Data were collected through system-generated alerts and staff feedback. Outcome measures included detection accuracy, response times, and perceived improvements in health security. Quantitative and qualitative analyses were conducted to assess system performance and user acceptance.

Results: Over the observation period, 419 health security events were detected. Infection control non-compliance was the most frequent event (34.8%), followed by unauthorized access attempts (21.9%) and overcrowding incidents (18.6%). The system demonstrated high accuracy, with 83.8% true positive alerts and a low false-negative rate of 4.7%. Response times improved significantly, with 81.8% of incidents addressed within five minutes. Staff perceptions were largely positive, with 82.8% reporting moderate to significant improvements in health security, particularly in infection prevention (81.2% perceived improvement).

Conclusion: The integration of AI surveillance systems effectively enhances hospital health security by enabling proactive detection of risks, improving response efficiency, and fostering a safer environment. These findings support the adoption of AI-driven surveillance as a valuable tool within ethical and operational frameworks to strengthen resilience and safety in healthcare settings.