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Automating patient monitoring, early warning systems can save 144 lives for 100 connected beds: Study

Mumbai: A current research exhibits that connected beds can save as much as 80 per cent of nursing time used for monitoring affected person vitals via guide spot-checks in non-ICU wards. Furthermore, related beds exterior the ICU may also help scale back roughly 1.3 days of common size of keep (ALOS) within the ICU, thus bridging the shortfall of ICU beds, This can even drive vital price financial savings, roughly to the tune of Rs 2.7 crore for each 100 related beds.

The research titled ‘Unlocking the potential of related healthcare in India‘ was carried out by Sattva Consulting in collaboration with Dozee, The research additionally highlights how related contactless distant affected person monitoring throughout public healthcare supply programs may doubtlessly unlock the remedy capability for a further three million sufferers (assuming peak capability) by the Indian healthcare system. Deploying steady affected person monitoring and early warning programs (EWS) can save roughly 144 lives for each 100 related beds. Moreover, it’s estimated that there’s potential to avoid wasting over 1,10,000 lives in India yearly via initiatives resembling Dozee’s Million ICU programme.

The research revealed that automating affected person monitoring via Dozee related beds in non-ICU wards in public hospitals can deal with the scarcity of ICU beds, medical doctors and nursing workers in India. At the identical time, it may well ship increased affected person security, improved scientific outcomes and a substantial price saving, estimated at Rs 2150 crore every year.

The analysis for this report was carried out in public hospitals that had adopted Dozee’s contactless distant affected person monitoring (RPM) and early warning system (EWS) as a part of Dozee’s Million ICU initiative. Currently, India has an estimated two million hospital beds and 1.25 lakh ICU beds. However, greater than 95 per cent of the hospital beds in India are monitored sub-optimally with guide spot-checks resulting in a diminished means of early detection of affected person’s deteriorating situation and elevated workload on the under-resourced healthcare system. Given this situation, the affect evaluation research was carried out to higher perceive how the automation of affected person monitoring throughout non-ICU wards may save a big variety of nursing hours, thereby positively impacting affected person care and driving digital transformation.

The report additionally captured the views of nurses and medical doctors; 97 per cent of them firmly believed that digitizing affected person well being information was crucial for an environment friendly and optimized healthcare ecosystem.

Dr Vaishali Shelgaonkar, Associate Professor and HOD of the Department of Anaesthesia – Indira Gandhi Government Medical College & Hospital (IGGMC), mentioned, “Implementing remote patient monitoring and early warning systems in large public hospital facilities, care facilities saved significant time and energy for nurses in terms of patient monitoring, enabling them to perform other care-related responsibilities more efficiently. It also added to patient safety, besides digital monitoring capabilities that helped identify patients at high-mid-low risk, further enabling prioritisation of critical patients.”

Srikrishna Sridhar Murthy, CEO and Co-Founder, Sattva Consulting, famous “COVID-19 pandemic introduced house the essential want to enhance the healthcare infrastructure sector within the nation. While the federal government has initiated measures to enhance entry and outcomes resembling Ayushman Bharat Digital Mission, there’s additionally a robust want for know-how and improvements, via the personal sector and through public-private partnerships, to bridge the hole and speed up higher well being outcomes for all.”





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