She administered the fluids, and the tablet logged the timestamps. The vitals monitor, now synced with FTAV‑004, showed a dip in heart rate to and a steadier blood pressure of 136/85 .
Rina had never seen such a device. She hesitated, but the screen displayed a short video— “Applying the Two‑Layer Compression for Large Dermatologic Lesions” —with a voiceover in Bahasa Indonesia. “Pastikan lapisan pertama menutupi seluruh luka tanpa menekan tepi. Tekanan optimal berada pada 30 mmHg, dapat diatur dengan slider pada layar kanan.” Following the on‑screen slider, Rina set the pressure to —the algorithm suggested a slight reduction due to Yusuf’s fragile skin. As she secured the bandage, the tablet vibrated and displayed: “Compression applied successfully. Estimated blood loss reduction: 68%.” Pak Hendra, passing by, raised an eyebrow. “What’s that gizmo?” he asked. She administered the fluids, and the tablet logged
Dr. Arif entered, eyes scanning the tablet’s log. He nodded approvingly. “You see, Rina, the FTAV‑004 is not a replacement. It’s an extension of our practice. It gives us data, confidence, and a safety net. The real magic is still in your hands.” Pak Hendra, now a reluctant convert, clapped Rina on the back. “Maybe there’s room for the ‘amateur’ after all,” he muttered, half‑joking, half‑admiring. The next morning, the hospital’s quality‑control committee convened. The data from FTAV‑004’s “Case Log: FTAV‑004‑2026‑001” were projected on the screen: time to intervention , blood loss reduction , antibiotic timing , and patient outcome . Yusuf’s case ranked among the top three most successful interventions in the past six months. She hesitated, but the screen displayed a short
Prologue – The Rumor in the Ward In the cramped, fluorescent‑lit hallway of Ruang Rawat 4 at Jakarta’s oldest public hospital, a whisper spread faster than the morning’s gossip about a new service: FTAV‑004 “Service Terbaik Perawat Amatir” . It was billed as an AI‑assisted platform that paired inexperienced (but eager) nursing volunteers with senior mentors, offering real‑time guidance, dosage checks, and emergency protocols—all through a sleek tablet interface. As she secured the bandage, the tablet vibrated
The name —the flagship algorithm behind FTAV‑004—had become a punchline among the veteran staff. “It’s just another gadget that will make us obsolete,” grumbled Pak Hendra, the night shift supervisor. Yet, for Rina , a fresh‑out of‑college nursing graduate who had just started her first placement, the promise of a safety net was the only thing keeping her from trembling in the dark. Chapter 1 – First Shift, First Shock It was a humid Tuesday night, the monsoon rain drummed against the window panes, and the Emergency Department was a whirl of sirens, cries, and the metallic scent of antiseptic. Rina was assigned a single patient: Pak Yusuf , a 68‑year‑old man with a massive, ulcerated “Berdada Besar” —a rare, aggressive skin tumor that had begun to bleed profusely.