ANALIZING ACADEMIC PERSPECTIVES ON THE ROLE OF AIOT IN RESHAPING MEDICAL SERVICES

Abstract

The convergence of Artificial Intelligence and the Internet of Things (AIoT) is shifting global healthcare from reactive to proactive models. This transformation is vital for Indonesia, where non-communicable diseases cause 60% of national mortality. Utilizing a mixed-methods approach—including surveys of 134 digital-native scholars and Focus Group Discussions—this study evaluates AIoT’s efficacy, security, and socio-economic impact. Findings reveal high conceptual literacy (91.8%) and a strong mandate for national acceleration (96.3%). Key benefits identified include enhanced real-time monitoring (88.1%) and reduced human error (87.3%). Interestingly, AIoT could also lower hospital energy consumption by 20–30%. However, challenges persist, including a "trust gap" in data security and 75.4% anxiety regarding job displacement. Ultimately, successful implementation requires a "triad of readiness": robust cybersecurity, human-centric upskilling, and "Human-in-the-loop" regulation. This study concludes that AIoT’s benefits outweigh its risks if anchored in ethical, inclusive policies.