The AI Hospital at Home category focuses on expanding clinical care beyond traditional hospital settings through the use of advanced remote patient monitoring (RPM) technologies. These systems continuously collect patient data from wearable and in-home devices and upload it directly into electronic health records (EHR). Clinicians, especially nurses, can remotely monitor numerous patients at once, identifying early signs of deterioration to intervene proactively and prevent emergency visits or hospital readmissions. This model enables hospitals to discharge patients earlier while ensuring ongoing care, freeing up beds for more critical cases.

One of the main challenges with AI Hospital at Home solutions is ensuring reliable data collection, particularly when patients or their caregivers are responsible for operating devices. Early RPM technologies that relied on manual input often faced usability issues, resulting in inaccurate or incomplete data. However, advances in automation and AI-driven devices are minimizing patient involvement, improving the reliability of data collection through continuous monitoring, fostering greater trust in remote care models.