This interview is part of our new AI in Healthcare series, where we interview the world's top thought leaders on the front lines of the intersections between AI and healthcare.
In this interview, we speak with Ted Chan, founder and CEO of CareDash, to understand how his company is using AI to transform healthcare, and what the future of the industry holds.
1. What's the story behind CareDash? Why and how did you begin?
TC: My company CareDash uses AI/Machine learning to weed out fake reviews and help patients make better decisions about their care. I started the company because when I was researching care for a chronically ill loved one, I felt the existing patient review websites weren't doing a good job weeding out fake reviews.
2. Please describe your use case and how your company uses artificial intelligence.
TC: By combining statistical analysis with machine learning and language processing, we are able to reject many fake reviews. We have rigorously trained our model to both approve a fairly large scale of reviews, and to reject/flag fake ones.
3. Could you share a specific customer/user that benefits from what you offer? What has CareDash done for them?
TC: While we actually have fewer reviews than other websites, we can go to bed at night and sleep well knowing we've done our best to make every data point and review on the site one a patient can make a life or death decision off of. For instance, one provider had dozens of reviews come in over a few months that were fake. This was presented in a way that could be easily detected, yet those reviews are present on other sites. We've flagged that profile and many viewers now know that provider's reviews across the web are fake.