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TeleHealth Platform
AI-assisted teleconsultation from booking to e-prescription
AI-Powered Teleconsultation Platform Patients face fragmented booking and follow-up across channels, with weak continuity of care records. Clinicians spend significant time on documentation during and after consults, reducing throughput and quality of attention. India-specific requirements—DPDP consent, Telemedicine Practice Guidelines, PHI handling—must be designed in, not bolted on. AI in healthcare must augment clinicians without bypassing accountability for diagnosis or prescriptions.
I built this telehealth platform because I wanted to explore how a digital healthcare product could simplify what is often a fragmented patient journey. Instead of focusing only on UI, I started by understanding the end-to-end experience, from onboarding and doctor discovery to consultations and follow-ups. Initially, I planned many advanced features, but I quickly realized the importance of defining an MVP and prioritizing the core user needs first. Throughout the project, I iterated on the design by simplifying navigation, reducing friction during appointment booking, and improving the overall information flow. The biggest takeaway for me was that successful products aren't defined by how many features they have, but by how effectively they solve user problems while keeping the experience intuitive and trustworthy.
How does the platform handle the AI scribing during consults when the patient speaks in mixed Hindi-English or regional languages common in India?
About TeleHealth Platform on Product Hunt
“AI-assisted teleconsultation from booking to e-prescription”
TeleHealth Platform was submitted on Product Hunt and earned 5 upvotes and 3 comments, placing #117 on the daily leaderboard. AI-Powered Teleconsultation Platform Patients face fragmented booking and follow-up across channels, with weak continuity of care records. Clinicians spend significant time on documentation during and after consults, reducing throughput and quality of attention. India-specific requirements—DPDP consent, Telemedicine Practice Guidelines, PHI handling—must be designed in, not bolted on. AI in healthcare must augment clinicians without bypassing accountability for diagnosis or prescriptions.
TeleHealth Platform was featured in User Experience (366.6k followers), Artificial Intelligence (473.1k followers) and Medical (3.4k followers) on Product Hunt. Together, these topics include over 140.1k products, making this a competitive space to launch in.
Who hunted TeleHealth Platform?
TeleHealth Platform was hunted by Shivi Sharma. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Shivi Sharma