Health

Indian medical device maker Dozee launches smart connected bed with Midmark India



Indian connected medical device manufacturer Dozee has partnered with Midmark India, one of the largest hospital bed manufacturers in South Asia, to launch a connected bed platform for non-ICU settings .

WHAT IT DOES

According to a press statement, their smart beds will allow hospitals to continuously monitor the condition of patients in step-down ICUs and other non-ICU wards. The connected bed has Dozee’s AI-powered contactless sensor embedded under the mattress to monitor vital patient parameters, including heart rate and respiration, temperature, and oxygen saturation. and ECG, among other parameters. It also has an early warning system that alerts care providers for prompt intervention.

In addition, the smart bed can be connected to the hospital’s central command center and HMIS.

Dozee claims their AI-powered RPM sensor has a clinical-grade accuracy of 98.4%.

WHY IT IMPORTANT

Today, India has about two million hospital beds and 125,000 ICU beds. According to Dozee, about 95% of these beds are under poor supervision, leading to a reduced ability to detect a patient’s worsening condition early.

As hospitalized patients spend most of their time in hospital beds, designing an AI-powered sensor-integrated bed is “the most efficient and effective method to automate and digitize patient monitoring.” personnel,” the company stated.

A recent report shows that the introduction of smart connected beds can help hospitals in India save up to $268.7 million each year while addressing shortages of ICU beds and staff.

TREND TO BIGGER WOMAN

Currently, Dozee is working on the MillionICU program to convert one million hospital beds across India into connected beds.

It is also in the process of applying for 510(k) approval from the US Food and Drug Administration for a sensor-based display, as well as several patents for detecting and predicting respiratory patterns. respiratory, cardiac, and neurological, and provides in-depth analysis of vital signals for early warning of poor health.



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