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


Indian connected health device maker Dozee has partnered with Midmark India, one of South Asia’s largest hospital bed makers, to launch a connected bed platform for environments outside of intensive care.


According to a press release, their smart bed will allow hospitals to continuously monitor the condition of patients in intensive care units and other non-intensive departments. The Connected Bed is integrated with Dozee’s AI-powered non-contact sensor that is placed under a mattress to track a patient’s vital signs, including heart and respiratory rates, temperature, oxygen saturation, and ECG , among others. It also has an early warning system that alerts healthcare providers for prompt intervention.

Additionally, the smart bed can be connected to a central control center and a hospital’s HMIS.

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


Today, India has about two million hospital beds and 125,000 intensive care beds. According to Dozee, around 95% of these beds are poorly monitored, reducing the ability to detect deterioration in a patient’s condition early.

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

A recent report revealed that the introduction of smart connected beds can help hospitals in India save up to $268.7 million each year while addressing critical care bed and staffing shortages.


Currently, Dozee is running its MillionICU program which aims to convert one million hospital beds across India to connected beds.

It is also in the process of acquiring 510(k) approval from the United States Food and Drug Administration for its sensor-based monitor, as well as several patents for detecting and predicting respiratory, cardiac and neurological patterns, and provide in-depth analysis of vital signs for early warning of deteriorating health.


About Author

Comments are closed.