Last year, after CES 2017, Health Tech Insider Editor, Publisher, and Chief of Everything Else Alfred Poor wrote about health tech that stays out of the way but earns its keep with substantiated results. In the article about proven clinically accurate health tech that seems to disappear, Alfred focused on the EarlySense LIVE sleep monitor. He mentioned that EarlySense is a market leader in contact-free, continuous monitoring systems for hospital patients. A few days ago EarlySense reported on its 2017 sales. The company also estimated the cost savings its hospital customers enjoyed and statistics on reduced adverse events attributed to EarlySense bed monitors.

According to the company report, orders for EarlySense medical systems increased more than 400% year-over-year from 2016. The total number of beds under active monitor at the end of 2017 was more than three times the beds with the company’s systems in the previous 12 years. So EarlySense is doing just fine. But the customer-facing side of the report is even more impressive. EarlySense estimates hospitals worldwide saved more than $100 million last year in reduced adverse effects directly attributable to the company’s monitors.

And look at the specifics. Again these are EarlySense numbers, but based on clinical data, its continuous sleep monitoring systems prevented 2,414 falls, 10,348 pressure ulcers, and 2,076 code blues for cardiac or respiratory arrest. The overall savings in hospital resources tally saving 137,970 patient hospital days, 21,615 ICU days, and hospital readmission reduction by more than 15%. According to EarlySense co-founder and CEO Avner Halperin, “It is clear that continuous monitoring offers both accuracy and comfort that provides peace of mind for patients and their families.”

EarlySense consumer products tracked more than 200,000 home user nights in 2017. The home product line includes Live for seniors and the newer Percept that tracks fertility for women trying to conceive. The FDA cleared, and CE-marked monitoring system uses artificial intelligence along with big data analysis to monitor heart rate, respiratory rate, motion, and sleep.