Carbon emissions within healthcare can stem from different activities, including supply chain through the production, transport, and disposal of goods and services such as medical equipment and consumables, transport of patients and staff, and energy consumption in facilities and laboratories.  

Consider the example of respiratory diseases like Sleep Apnea or COPD – a patient journey typically involves multiple physical trips to a physician and a sleep lab, e.g., for consultations, setting-up appointments, referrals, and to undergo diagnosis tests (polysomnography/spirometry) either in a hospital, a sleep lab, or using a home-based test kit. Moreover, each test entails use and wastage of medical consumables, such as nose clips, mouthpieces, filters, and other disposables. In the case of positively diagnosed cases, depending upon the severity, this cycle repeats several times as therapy control can take anywhere from a few months to several years. 

Sleepiz’s innovative diagnostic and monitoring as-a-service model significantly reduces transport-associated emissions and wastage of medical disposables. With several thousands of nights of sleep monitoring, it is estimated that we have reduced more than 215 Tons of CO2e emissions already2 . With help of radar based contactless technology, Sleepiz AI-based analytics, and telemedicine, our remote patient-centric solution is paving a vital path toward smart and sustainable healthcare.