SAN FRANCISCO – PeerWell, a company that develops mobile technology to help people prevent, prepare for and recover from surgery, has extended its platform to help patients identify and avoid trip and fall hazards. PeerWell’s Trip & Fall Hazard Detector allows users to walk around their homes with their smartphone cameras, while the system’s real-time artificial intelligence identifies and flags trip and fall hazards. When the Trip & Fall Hazard Detector identifies a hazard, an augmented reality alert is superimposed over the video display. After the evaluation, photos of the problem areas will be shown to the patient with education on how to fix them. PeerWell’s AI will assign patients’ homes a risk score, which can be used by health systems to schedule in-home occupational therapy visits and inform discharge planning. “This technology continues to put us years ahead of the industry,” said Manish Shah, CEO of PeerWell, in a statement. “Most image recognition systems are trained using publicly available data sets. Here, there is no data set like this, so even the foundational data is proprietary.” PeerWell will offer this as a new component of its existing platform, which includes smartphone-based range of motion assessment, autonomous care path creation and the tracking of more than 40 data streams per episode of care. PeerWell has collected more than 1 million mHealth records to date, enabling its artificial intelligence based system.
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