AdviNOW Medical

Today’s healthcare experience is defined by high costs, inefficiency, and long wait times—all of which limit access to care. Our technology uses Artificial Intelligence and Augmented Reality to transform this reality.

Sitting in front of a computer screen and a rack of simple-to-use, FDA-approved medical devices, patients are guided through self-administered steps to collect data such as weight, temperature, blood pressure, as well as ear, nose and throat images, and chest, lung and abdomen sounds. Questions are asked until the information necessary for diagnostic impression is collected. The total process takes less than 15 minutes. A patient work-up is sent to the healthcare provider with a breakdown of predicted illnesses and treatment options. The provider engages with the patient to confirm the AI-collected information, verify the diagnosis, and confirm or modify the treatment plan formulated by the system.

Every detail of the encounter is automatically charted and scribed into the electronic medical record, saving valuable time, and enhancing the engagement between the provider and patient. The AI also electronically sends the prescription and/or test orders to the appropriate healthcare partner, e.g. imaging centers, pharmacies, etc., and completes the billing process.

Our technology is being used in Arizona urgent care centers and primary care clinics, with a national launch planned for retail store-based clinics. We also have partnerships with Akos, GlobalMed and Valley Perinatal.

Our exciting story is featured in recent editions of Healthcare Tech Outlook, where we were named one of the top 10 artificial intelligence solution providers; and Silicon Review, where we were named one of the 30 most reputable companies of 2018; and Forbes. We have also won Outstanding Achievement in Healthcare Delivery from the 2018 AZBig Media Healthcare Leadership Awards, and AZBio’s Fast Lane Award for our game changing healthcare delivery technology.

Company’s Keywords:

artificial intelligence, machine learning, medical devices, emergency medical services, deep information technology, medical, health care, information technology, healthcare, clinics, augmented reality, machine vision, automation