I am happy to know you plan to implement a review system to track the performances of health specialist. Jus as it’s one thing to consider reviews made on health specialist, it’s another thing to ensure that those reviews are not made with biased.
How have you plan to maintain the quality of this reviews to ensure that it’s not made with biased for or against any health specialist?
Thank you for your reply to me, please is there any way you can explain more about the particular security measure that you have put in place for the off chain database, thank you
Sorry if my initial reply didn’t answer your question
To break it down further, the data is transferred safely from the frontend to the offchain storage through a secure Https Api cloud function deployed on google cloud , which assures us that data cannot be tampered with, or intercepted during transfer.
This make us certain that our user data is safe and secure.
Thank you for you’re replying to me and I accept your apologies so it is all very good, please tell me in a case where you’re having breach of data what is going to be your incident responding plan, thank you
Hi Healthtron-lytics team! I like your focus on trust in medical data. How will you ensure specialist verification works, and how will you tackle misinformation?
So we have a specialist evaluation team that goes through all the health specialist that apply on our platform, this team ensures we hire only qualified individuals,
The health specialist are our tool to tackle misinformation, they is an information approval tag on every post on the platform, we advice our users to look out for the approval tags , if the health specialist approves the post, then that means the information is valid.