AI Diagnostics: A Data Driven Approach Creates the Internet of Health

By | January 19, 2021

The connected economy has huge untapped potential in the health sector. A typical example can be seen at one of the main problem points identified by the pandemic: lack of communication between different points of assistance. When the data flow is interrupted, time and money are wasted.

In an interview with PYMNTS, Dr. Yiding Yu, chief physician of the healthcare-focused AI Olive platform, told PYMNTS that a healthcare system marked by manual processes and paper flows could be significantly improved through the use of advanced technologies, including artificial intelligence (AI ). The company said it has created the first “AI workforce” in healthcare that automates workflows and streamlines manual tasks with its AI-powered software as a service.

According to Olivia’s marketing positioning, “Olivia is not an expert at treating patients, and healthcare systems should not be AI experts.” In terms of mechanics, the company works with over 40 medical organizations, including hundreds of hospitals throughout the United States. According to Yu, the need for improvement and timely flow of information is underlined by the pandemic, where “one of the main areas where we know there is waste in the system is load. the administrative burden on our doctors. and our nurses are just to help. ”

According to her, this waste can be measured in billions of dollars a year. In one example, Yu said that pre-approval is a $ 31 billion problem in the health care system and that almost one in three medical offices has a dedicated staff member whose only job is pre-approval. …

“This process is usually done through phone calls and faxes, and in fact can take up to two weeks,” Yu said. Including manual procedures, pre-authorizations account for 92% of patient delays in the hospital. all planned procedures with important consequences for the care of the patients themselves.

Against this backdrop of administrative losses, according to Yu, Olive is conceived as “the Internet for healthcare.” The overall goal is to connect elements and information points in a continuum of help that are traditionally separated. In terms of revenue or administration of the industry, Olive was used as part of the workforce.

“She is an AI employee who maintains the hospital, so instead of manually faxing information to a person, medical records are stored manually,” Yu said. ”

She argued that an AI solution differs from other software in that traditional workflow proposals are not trained to understand hundreds of thousands of rules and apply those rules to documentation. in real-time and set the necessary criteria with insurance companies. Olive can apply for prior authorizations on behalf of the patient and the doctor, she said, which can reduce the waiting time for a procedure by more than 80%.

The AI ​​platform also serves as a bridge to make payments more efficiently by collecting claims and insurance information. Olive is device agnostic and all aspects of the infrastructure are HIPAA compliant, she said. In terms of data flow and continuous improvement, she said, “we structured our artificial intelligence system so that it becomes the central repository for all of our learning so that when one Olive learns [from one healthcare provider], all olives learn.

When the system realizes that there are new changes in payment rules, for example, for hospitals in Alabama, all hospitals in that orbit will receive the same updates – and the Montana hospital system will be informed and track these changes. …

Fighting the pandemic

Nodding at the pressure of the pandemic, she highlighted the fact that healthcare systems have been forced to test for COVID for their communities and register thousands of more patients in their system than before.

Through the platform, she said, “We have allowed anyone who signed up for a COVID test — for example, on the Tufts website — to enter their information securely. And then Olivia resumed the registration process. We put insurance information, we got an appointment on their medical record. We received a test order for them. We have automated the whole process, ”she said.

At a higher level, AI can recommend that healthcare professionals start helping patients at different stages of treatment to improve treatment outcomes, she said. This could mean, for example, earlier intervention in patients with diabetes. Going far beyond blood pressure monitoring or talking scales, she said, “The next frontier in connected healthcare is ensuring that everyone in the healthcare ecosystem has useful information.”

She compared the approach to the one outlined by the Internet of Things: your Alexa device can control the lights, the smart thermostat also knows when you’re at home (or not), and adjusts the temperature in your apartment accordingly.

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