INDIA –Healthnet Global, an Apollo Hospitals subsidiary, has unveiled its smart in-patient room automation system, which includes remote patient monitoring and triaging.
AutoMaid, its most recent hospital automation offering, includes motion sensors, including bed handrail sensors that patients can use to notify nurses.
It has a communication pod that allows patients to control electric appliances and lights using touch and voice commands, as well as mobile access to room services such as housekeeping, food and beverage, nursing, and feedback.
Its main feature is a remote patient monitoring system with an AI-powered triaging system that captures vital parameters in real-time and makes them available to doctors via a centralized dashboard.
The system enables medical personnel to monitor all patients’ conditions on a single monitor or via a mobile app.
Custom alerts can also be created to assist providers in focusing on high-risk patients and providing proactive care.
The Indian healthcare system remains overburdened as it battles the COVID-19 pandemic while dealing with a labor shortage.
The number of active nurses and doctors in the country is estimated to be around 6.1 and 10.6 per 10,000 patients, respectively, well below the World Health Organization’s threshold.
Contactless remote patient monitoring and triaging systems, according to Dr Sangita Reddy, managing director of Apollo Hospitals, have become “game-changers” in the health industry, easing the burden on hospitals and healthcare professionals.
“From COVID-19 patient care to post-surgical follow-up, to ongoing care management for patients with chronic illness, there is a dire need for a clinical-grade technology to provide quality of care safely and at scale,” he stressed.
In the midst of a pandemic, the use of AI in remote patient monitoring (RPM) has improved operational efficiency and contributed to hospital safety.
Among the most recent technological breakthroughs, a “baby detector” software developed by researchers at the University of South Australia was regarded as a significant breakthrough for RPM.
In monitoring the vital signs of premature babies, the computer vision system in the neonatal intensive care unit has the same accuracy as an ECG machine while also accurately detecting their faces.
Meanwhile, the AI-powered bedside RPM system from Stasis Health, based in the United States, has recently arrived in India via local distributor Medtronic India.
It generates round-the-clock vital sign trend data and employs AI to notify staff of patients’ deteriorating conditions.
Coviu and Propell Health, both based in Australia, launched their combined telehealth and RPM offering for COVID-19 patients earlier this year.
It shows health data from Bluetooth-enabled medical devices and enables clinicians to receive real-time vitals while on a video call with a patient.
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