Automation in Healthcare: A Robotic Approach for Patient Registration, Vital Sign Tracking, and Chatbot Interaction

Abstract

Rising nurse burnout and increasing workloads affect their performance, impacting healthcare quality. High workload stress and disease transmission risks further strain the staff. Addressing these challenges, our work proposes a robotic system for automated registration, real-time vital sign tracking, and empathetic patient interaction. The system consists of SpO2, heart rate, and temperature sensors connected with a Raspberry Pi. A Python-based chatbot aids the patient with inquiries and engagement. Initial results demonstrate enhanced patient autonomy; remote vitals checking and chatting session, improving efficiency, making our system a promising step toward streamlining hospital workflows and enhancing patient-nurse interaction.

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