Zero-Touch Care Models: Evaluating Voice-Activated Health Assistants in Geriatric Palliative Care

Zero-touch healthcare systems powered by voice-activated health assistants offer a new paradigm for patient care—especially in geriatric palliative settings where reduced mobility, cognitive decline, and emotional isolation pose persistent challenges. This paper evaluates the architecture, usability, and clinical alignment of voice-based AI systems through a multidisciplinary lens integrating human-computer interaction, medical informatics, and machine learning. We provide a comparative analysis of existing platforms, assess their alignment with elder care workflows, and propose a technically viable, ethically robust design framework.