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

Dozee's sensor-based technology uses AI to track vital parameters.
By Adam Ang
12:54 am
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Credit: Dozee

Indian connected health device maker Dozee has partnered with Midmark India, one of the biggest 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 bed will enable hospitals to continuously monitor patients' conditions in step-down ICUs and other non-ICU wards. The connected bed is integrated with Dozee's AI-powered contactless sensor which is placed under a mattress to track a patient's vital parameters, including heart and respiratory rates, temperature, oxygen saturation, and ECG, among others. It also has an early warning system that alerts care providers for timely intervention. 

Additionally, the smart bed can be connected to a central command centre and a hospital's HMIS.

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

WHY IT MATTERS

Today, India has around two million hospital beds and 125,000 ICU beds. According to Dozee, about 95% of these beds are being poorly monitored, leading to a reduced ability to detect a patient's deteriorating conditions early.

As in-hospital patients spend most of their time on a hospital bed, designing a bed that is integrated with an AI-powered sensor is "the most efficient and effective method to automate and digitalise patient monitoring," the company claimed.

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

THE LARGER TREND

At present, Dozee is carrying out its MillionICU programme which aims to convert one million hospital ward beds across India into connected beds.

It is also in the process of acquiring the US Food and Drug Administration's 510(k) approval for its sensor-based monitor, as well as several patents for detecting and predicting respiratory, cardiac, and neurological patterns, and providing in-depth analysis of vital signals for early warning of health deterioration.

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