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Comments on “iCliniq”
Posts » iCliniq » Comments » Comment
Ben Tossell@bentossell · Community Lead, Product Hunt
How will you plan to handle volume when you scale? @dhruvakumar @antorobin I think there are going to be a lot more Slack based startups... especially with the introduction of the Slack Platform Launch. Medicine is a great one to dive into as I feel that many people may google their symptoms and will unfortunately read a lot of information which is worst-c… See more
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Dhruv kumar@dhruvakumar · Founder,icliniq.com
@bentossell Hi Ben, Thank you for the question. We are already handling large volumes through our existing platform icliniq.com. So far we have solved more than 100,000 health issues with more than 1000 doctors on icliniq replying to second opinions. Our typical response time for doctor reply is less than 4 hours. We have an algorithm to make sure querie… See more
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Ben Tossell@bentossell · Community Lead, Product Hunt
@dhruvakumar what is the average response time? How many people get answered per day? How do you plan on handling 1,000,000 queries :)
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Dhruv kumar@dhruvakumar · Founder,icliniq.com
@bentossell Oops. I just edited about the response time on my previous reply. In this month, our average queries has been around 500. Getting doctors on board is easy for us as we have a separate team working on it. And also, every doctor is given a simulated query before they answer a live question. We constantly rate our doctors to check their quality. :… See more
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Ben Tossell@bentossell · Community Lead, Product Hunt
@dhruvakumar yeah I was going to ask... can patients rate the doctors, uber-style?
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Dhruv kumar@dhruvakumar · Founder,icliniq.com
@bentossell Yes, They can. If their rating goes below 4, we block queries to them for a day and do an enquiry where we suggest them how can they improve. If they are not good even after that, we suspend them. Uber-style again :)
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Rahul Pattamatta@rpatm
@bentossell @dhruvakumar I would assume you could build a templating engine that can find commonalities among queries and pre-generate parts of a reply? That would be a fun Machine Learning project. NLP + recommendations.
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Dhruv kumar@dhruvakumar · Founder,icliniq.com
@rpatm Well. That's our ultimate aim. 😄
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