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She Sold Her Company for 9 Figures, What's Next?

Renee Dua

Together by Renee & Heal

Founder

,

Together by Renee & Heal

Renee Dua, physician turned entrepreneur, on selling her healthcare house calls company Heal for nine figures to Humana and building her next AI health startup.

Transcript

this is Renee a physician turned entrepreneur Who Sold her first Healthcare company for nine figures to human and she's currently working on another AI Healthcare startup her story is super inspiring as she faced a lot of challenges in her journey Renee was a chief medical officer who invented a whole genre for facilitating house calls and while she was running her company she was also juggling being a caregiver for her parents and she also gave birth to all her kids her first company heel actually played a crucial role in helping patients by changing Medicare rules their service allowed any patient to have a house call and to use billing codes for house calls heel was also the first company to use realtime Insurance eligibility so patients could know their co-pay or deductible right away when booking a house call the good news is no patient ever got a bill for their services from here in this video we will learn the business model of Rene's second Healthcare startup to get together and trust me it's super interesting as Renee will reveal how they're planning to monetize this [Music] startup uh let's start from the beginning can you like give a quick introduction about the company and what are you trying to achieve for sure for sure so I I'll just start by introducing myself my name is Renee Dua I was the founder of heel and the former Chief medical officer we sold heel to human when we sold the company to human Nick and I stepped away and my father had to have a very serious surgery and I became more involved in giving care to my dad and I was really finding that and and mind you I'm a physician but I was really finding that I was doing a lot of jobs that are not easy are very timec consuming and don't have to be done by a human being I was making sure he was getting his refills I was putting his appointments on his calendar I was calling and scheduling appointments and I thought you know why isn't software doing this what what is the delay uh certainly we have some you know this was two years ago some you know they're not perfect but some models of intelligence and machine learning why are we not incorporating those into helping patients and so Nick and I got together again we decided we wanted to work on our second startup together again we called it together we spent about 2 years in research and design for together again using humans to build out ideas that we had to simplify Health tasks for aging Americans and their caregivers and they're using the app to keep all their health tasks in a single repository all on together and then use the camera on the phone to check their vitals and talk into the Together app to check their mental health and get a holistic breakdown on how their health is doing wow that's beautiful congratulations on all your success so far that sounds amazing so who is the ideal customer for together anybody can use together but we really wanted to focus on Aging Americans when you download the Together app and register you'll find the first question you're asked is to scan your pill bottle so when you scan a picture of your pill bottle the Together app is reading the name of your medications when you take them who prescribes them to what pharmacy you go and we're building your health profile so our first objective for aging Americans was to ensure you can use pictures and voice to command together to autoare coordinate in the thousands of hours you're not sitting with your doctor there are Health tasks to be done you can use the Together app to coordinate that care how is AI particularly playing a role in this app how could you have not done it traditionally so we did actually do our Pilots traditionally and economically this doesn't make sense and we did learn that during our pilot when we incorporated intelligence and machine learning and we incorporated it in three major ways which I'll share we found that we were able to save quite a bit of money and Achieve certain results the first thing we do is share with you prescriptive insights I know that you take bonaza pil I'm going to remind you to take your medicine every day I'm going to remind you it's for high blood pressure I'm going to call your Pharmacy and organize your refills 3 days in advance and I'm going to tell you you're a person with high blood pressure have you had your kidneys check right you are over 50 I know from your birth date did you have your colonoscopy right have you had your mamogram so we start sharing the to-dos right and once again ensuring accurate and preventive care coordination the second thing we do is we use the camera phone using rppg technology to look at the vessels the fluid dynamics Under the Skin and determine how high your blood pressure is what your oxygenation is your heart rate variability and pulse socks and that's really exciting because for example if you do take a blood pressure medicine you know right away how your medication is working working for you and finally we use voice technology to listen to the intonations of the voice and determine if you have symptoms of anxiety or depression all of these three services use intelligence what we learned in our Pilots by using intelligence in these three ways we improved technical literacy patients honestly they didn't realize their phone could do so much and everybody has a smartphone right we improved health literacy because once again they were understanding what medicine they take and why they take it and they were feeling nudged by a daughter to go get that mamogram or fulfill that refill so that they adhere to their medicine and then we also improved Stars ratings which is very important in Medicare Advantage and CMS Stars ratings is how they get paid and when patients are compliant and adhere to appointments adhere to medications these insurance companies make quite a bit of money so those are the ways in which we've used AI the Together app uses it and then the results that we were able to prove by using it thank you for that can you quickly touch on the business model behind the app you're solving a huge pain Point by actually reducing the cost for the patient or the elderly person can you talk talk a little bit about the business model here absolutely and so together is totally free for users and caregivers we have never charged anyone who uses our service and we have never charged their caregivers but our business model is as follows on the back end all deidentified we're accumulating quite a bit of data we're accumulating quite a bit of trending of that data how a certain person is doing when it comes to managing their blood pressure or blood sugar control and that data has value again we're not sharing any one person's data but the deidentified data is very interesting to Pharmacy companies to Pharma companies to electronics companies who understand that your TV should be a hub for health right all of this software works on web OS so that data management and those data Trends have value and that's what we're using for monetizing a beautiful what's the uh vision for what's coming next for Together app what are you guys building what's the next big thing now the most exciting thing that we're building on the Together app is called the together companion essentially you can talk into the Together app and start asking about your symptoms and your feelings together I feel nauseated together will'll reply and say I'm noting that you have zran in your medication list take it now I'll check back in 30 minutes together I'm still nauseated no no problem I'm noting that you have Compazine on your medication list take it now I'll check back in 30 minutes together I remain nauseated together says I know that Dr Smith these medications for you would you like me to call Dr Smith and get someone from Dr Smith's office on the phone or would you like me to tell you the nearest in network urgent care or emergency room right so we again are really allowing users to hair coordinate on their own we're not practicing medicine we're not replacing the doctor or the doctor's office I want to be very clear about that but there are hundreds of things patients can do when they are accurately informed to create the together companion we have closed data sets I'm a physician I'm working with our Engineers to help model these responses so that they are not you know foolish or make no sense right you know we're very careful how we're responding to patients and ensuring that they know when it's time to see a doctor there's no more that we can add safely and it's time to get help thank you for watching another episode of emerging Tech with manav it really fulfills me to make videos on entrepreneurs and Tech that's impacting billions of lives with all that said you guys need to check out my latest video on flying boat by navier this was a really fun one to film

Chapters

00:00 - Intro

01:08 - Founding Story of Heal

02:56 - Ideal Customer for Together?

06:00 - Business model of Together App

08:31 - 8:47 - Conclusion

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