LENSPITAL

Inspiration

Decentralized social graph platforms hold so much potential to enable privacy-focused precision medicine and federated learning without relying on mega-corporations. Statistically speaking, Health and Fitness app users number around 385 million worldwide, 2/3rds of US hospitals offer mobile health apps based interventions and 90% of physicians already use smartphones at work for patient follow-ups.

Smart devices track heart rate, heart rhythms, blood pressure, movement, and workout behavior, and many are connected to device-specific APIs such as Samsung Health/Apple Health. With such large-scale data collections allowing for studying population health at scale, we believe that a person's self-generated data is their own unique digital medical footprint, their quantified self in cyberspace.

We envision a social garden where, as the patients automatically and continuously generated health data and their social connections grow, they should possess the ability to both generate revenue from their recorded data, and also opt-in for browser-based AI models' screening results in the short and long term.

What it does

LENSPITAL is the next-level decentralized social media plugin specialized for professional and interactive healthcare.

Want to earn money for adhering to workout routines and fitness tracking applications? Your (anonymized) data is highly in demand for researchers and companies to develop novel medical solutions!

Ever thought of hearing misinformation about diseases, especially during a crisis, and becoming able of filtering them out through trusted social media influencers? With the verifiable ledger and reputable chain of transmission, beat clinical misinformation spread by profit-maximizing malicious algorithms of today!

LENSPITAL gathers all medical professionals, patients, and public audiences to discuss and share data, healthcare news, and information. Additionally, it transforms any regular social media platform built on LENS into a more dynamic environment where users have the option to look into their future health conditions and others and share their past experiences and thoughts with them! To be more specific->

• Facilitating patients’ access to current and predicted health conditions, by learning from their uploaded data, as well as their posting behavior. This is completely optional, and the user can choose to only receive royalties for providing anonymized routine health data without having to receive any clinical AI support prognosis!

• Engaging people in public health and healthcare discussions, with top (true) posts being minted as NFT collections and increasing chances of adoption (i.e vaccinations)! Allow the collective knowledge of professionals to disseminate actively and passively with impact on a distributed social platform, oriented to those who are either patients or interested in the topics.

• Spreading healthcare awareness with accurate medical information, and combating misinformation associated with traditional, boring, web2 social media (looking at you, Twitter). Thus, we aim to support doctors, healthcare workers, and medical influencers with monetization for promoting/verifying claims!

All this in one interactive Web3 game-like interactive platform (one day soon but there is a sneak peek for you :)).

How we built it

How we (ideally) should have:

• LENS API + Tailwind.css + Next.JS + Python Django BackEnd + Polygon Contracts + Apple Health Integrations + Lite Tensorflow (Browser) + GraphSQL

How we really implemented it:

• Figma + Adobe Illustrator + Powerpoint + Adobe Photoshop + DaVinci Resolve + Gather Town + (a dash of Python)

Challenges we ran into

Bringing the idea to life in less than 24 hours, in an actionable, functional, and aesthetically pleasing manner. After about 5 hours of playing around with APIs and frameworks, we decided that the idea and its user journey are worth more as an NFT than some boilerplate code stitched together just to be abandoned post 3 pm today...

Accomplishments that we're proud of

As we are primary researchers, being 1st Year DPhil Candidates, we discovered the importance of having a healthcare/fitness component, even as an optional plugin, to learn from the myriad of data that is being generated on a daily basis and the social connections to find like-minded supported groups.

We programmed a prototype for the media platform and the interactive environment which outlines patient trajectories and organic discovery on decentralized social graphs.

• Building a working platform built on the fundamental principles of the LENS domain.

• Developing a prototype of how a next-level social media platform with fun quirky components and clinical potential should look like.

• Enriching the medical value and computer programming within the era of web3 social media.

What we learned

• Collaborative teamwork among multiple disciplines (CS and Medicine)

• Active programming, which is programming on-the-go, and figuring out wireframing, graphic designing, and patient trajectory mapping (aligned with real clinical guidelines).

• Developing and working with prototyping tools with version control, iterative learning, and lots of brainstorming!

What's next for LENSPITAL

• Further development on the Prototype (i.e translate UI/UX into functioning plugin)
• Ensure HIPAA-compliance for data storage
• Hash/Secure the User Identity
• Find Non-Vendor Locked APIs for Healthcare Data for Connecting Smart Devices
• POC/Pilot Study with Patients and Doctors to See Real-Life Value

Built With

• figma
• lens
• python