Ever heard of automated triage tools or symptom checkers? Well, we’re pretty sure you’ve heard of them at some point in your life. The thing is, the accuracy of these programs is often unclear mainly because the advice tends to come from assumptions buried in the questions it actuates. The Co-founder and CEO of Buoy Health, Dr. Andrew Le believes his business is taking a better and smarter approach to address the situation.

Buoy Health is a startup that makes use of intelligent algorithm backed by medical data to figure out what ails you. Andrew Le affirms that Buoy is engaging a smarter approach than other online symptom checkers like WebMD by putting up to 18,000 clinical papers in its program. According to Le, the big idea is to prompt more reasonable follow-up questions and provide relevant recommendations for what to do next. Buoy’s goal is to do an exceptional job of triaging patients by recommending urgent care facilities for minor cases and to ensure that patients with severe health cases find their way to the emergency room.

For the most part, Buoy has raised up to $6.7 million in Series A funding. The round was led by F-Prime Capital Partners with active participation from FundRx and other angel investors. The startup will use this round of funding to expand the staff with additional clinical researchers, engineers, marketers and to build relevant links with hospitals and providers. Buoy has raised up to $9.2 million to date.

Carl Byers, executive partner at F-Prime said, “The team at Buoy has taken an innovative approach to solving the problem of health symptom search”, he also added “By engaging patients intelligently at the moment they experience symptoms, Buoy can deliver triage at scale in a way that can be adopted seamlessly within the healthcare system as a new digital front door to the care journey.”

The startup’s automated triage tool which has been operating since March is also accessible to consumers. Buoy Health has eight triage level recommendations which range from staying at home or heading to the ER — this depends on the initial diagnoses. There are other recommendations such as seeking urgent care, telemedicine or a nurse triage line.

The question that’s asked by Bouy Health’s arises from the most common diagnoses. According to Le, the machine learning software Buoy Program uses is similar to the way Netflix’s app makes recommendations based on films users love to watch.

Le also said that the primary goal is to discover which questions will decrease the number of diagnoses the most. He added, “By creating that granular understanding of medicine, the more patients we see, the better we get.”