Real-time patient monitoring is the continuous recording of vital signs and health data using medical equipment linked to a central monitoring system. Data like as heart rate, blood pressure, and oxygen saturation are delivered in real time. It improves patient safety by sending quick alerts to healthcare providers in the event of an emergency or significant changes in health condition.

An advanced alarm system employs sophisticated sensors and technology to detect potential threats or breaches in security. It utilizes machine learning algorithms to differentiate between false alarms and genuine emergencies, reducing the likelihood of false alerts. Integrated with smart home automation, it offers remote monitoring and control capabilities for enhanced safety and peace of mind.

Integration with medical devices entails linking diverse healthcare equipment to a central system, facilitating real-time monitoring and data exchange for streamlined patient care and enhanced clinical efficiency.

Manages Electronic Medical Records (EMRs) involves organizing, storing, and retrieving digital patient health information within a secure database system, enabling efficient access and management for healthcare providers while ensuring patient privacy and compliance with regulatory standards.

Real-time video calling facility for hospitalized patients. This technology reduces physical visits by allowing patients' loved ones to participate in live video conversations, promoting remote support and connection during healthcare scenarios. It improves patient care by allowing virtual presence and communication, hence minimizing the need for in-person visits.

This architecture runs within an intranet network, allowing clients and servers to communicate for internal purposes exclusively while ensuring safe and regulated access to resources and services.

This viewer interacts smoothly with existing systems, giving doctors quick access to DICOM pictures and accompanying radiology reports, expediting the review process for patient diagnosis and treatment planning. It improves workflow by combining imaging data and results into a unified interface for thorough analysis.