All of our team members interested to do something, which can solve a burning problem and give a value to the society. Health care in India is one of the biggest problem and we are here to address it seriously.
What it does
If we visit any clinics or OPDs of Hospital the first thing we encounter is crowded which creates a negative ambience whereas places like health care should have positive ambience. If we try to dig the reason of such crowd we saw there are primarily two reasons. i. Long queue in self registration desk and getting an appointment of the required doctor ii. After getting an appointment the patients wait for their turn to come in as they are not sure at what time their turn might come so they don’t leave the clinic / OPDs instead keeps on waiting. We all know that the doctor to patient ratio in India as per WHO is 1:1000 which is a challenge for us to improve the ratio. We believed in a saying when life gives your lemon, make lemonade out of it. So we though what if we can optimize the existing resources we have. So we came up with the idea of OXYFIND
How I built it
We used open sourced technology. Mainly built in MEANS Stack
Challenges I ran into
We had lot of ups and downs while developing OXYFIND. The downs gave us lessons and the ups gave us happiness and inspiration to move further. It is very hard and challenging to convince the healthcare decision makers to use our product that will solve the problem which is still not solved by anyone yet because we are new in the market. However once we offer them free trial to use the clinics get enough confidence to use our application.
Accomplishments that I'm proud of
Initially after launch we were able to on board small clinics easily. But big clients were hesitating for getting on board. But after our application got updated with new slot tracking feature in January this year the traction has increased a lot and the new customer base mostly consists large clinics or doctors with high patient volume.
What I learned
We learnt from every failure. Failure never demotivate us rather it encourages us to analysis things deeply.
What's next for OXYFIND
We are constantly innovating about it and will keep on adding new features to make both patient and clinic experience better. On our next update we will be releasing mobile app for both the platforms , we will try to predict the approximate waiting time for each patient, enable patient to upload their own past medical records, keep a digital copy and share them with the clinics/doctors thus saving time, paper and help doctor to pre diagnose the patient. Since we will be collecting various data , we are planning to use this huge dataset to create AI model and train them which will predict exact waiting time, average consulting time, appointment booking numbers, etc. Moreover we have a plan to use Google, IBM Watson Third party health API to run pre diagnosis on patient medical data thus sending alert to patient about the severity level of the disease and helping doctors to consult better.
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