It looks at how a doctor provides treatment, how long it takes to get an appointment, helps patients understand what they are going to pay before walking into their appointment, helps with scheduling appointments – within your network no less – and more. You could think of it like a yelp model for healthcare patients. It’s all built out into a model that takes into account not only everything the card says, but also looks at the overall user experience. It’s fascinating to think about all of the things machine learning (ML) has to take into account when using images, from lighting to orientation. Their app gets the name of the insurer, carrier, plan, member ID, all from image recognition. 51% of insured Americans think it would be frustrating to make sure their preferred doctors were still in-network if their insurance was changing.Īdd the extra layer of complexity that networks and providers change frequently, and directories can often be out of date, and it’s a pretty frustrating experience trying to get help when you probably are already not feeling great and you need a doctor.16% made an appointment with a new doctor not knowing if their insurance covered the visit.20% have been turned away when booking with a new doctor because the doctor didn’t accept their insurance.28% of insured Americans are not always confident that the doctors they book appointments with will be in-network.They recently partnered with Kelton Global to conduct a survey (n=1,000) and found: It uses machine learning technologies to extract pieces of information from an image of a patient’s insurance card. Zocdoc launched a deep learning capability using a program called Zocdoc Insurance Checker.
Who is in network? Who is not? What is a co-pay? How does it vary by provider? How is my doctor paid, and more importantly to me, how is my doctor incentivized to do a great job? I’m inspired by a company called Zocdoc that focuses on this common problem – understanding your insurance card. I had a chance to reflect on the mystery of my insurance card recently while at the doctor trying to make sense of my benefits.
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