In early 2015, we realized that there was a wealth of medical knowledge online but no intelligent interpretation or curation of it. We aimed to solve this by creating an Artificial Intelligence engine that could bring a patient to diagnosis based on their current medical state, symptoms and past medical history. In our pursuit we analyzed over 3million patient records in engineering an AI model that could lead a naive patient right to diagnosis through simple questioning.Our algorithm became quite robust and reached nearly 80% accuracy. As we continued our research, meeting with more and more doctors, we found that the most immediately impactful application of our AI would come in automating medical documentation and administrative tasks slowing down practitioners.We decided to expand our focus from simply to diagnosis, to automating processes across the medical clinic. In everything we do, our goal is to help practitioners get back to what they do best ... medicine! Insig takes care of the rest!Why Remote Data Capture?Collecting patient information is absolutely critical in providing quality healthcare. Our intelligent questionnaire system automates the rendering of medical notes, the collection and organization of medical history, and rendering of any original paperwork/forms.Why Virtual Care?For some cases in medicine (i.e sick notes) there is little reason for a patient to come in. Why not provide your best patients with a premium service?

AI/ML

Health Care

Insig

Ryan Palmer

Mohammadreza Javadifar

Mahesh U.

Basem A.

This department focuses on the design, development, and implementation of engineering solutions and software applications.

Engineering

This department ensures software quality through testing and validation processes.

Insig

Org chart

Teams

Engineering

Quality Assurance

Offices

Insig

Org chart

Teams

Engineering

Quality Assurance

Offices

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