Our inspiration comes from our motivation to broaden access to healthcare. Our idea stemmed from the questions: “What if you could monitor your health without the long waiting times, expensive wearables, and uncertainty we see in everyday clinics? What if you could monitor your health with something much simpler — perhaps even a selfie?” This sparked a valuable discussion that led to the creation of our product: DocMe.
By providing remote diagnostics and guiding clinical decision making through a smartphone lens, we would not only allow you to be more informed about your everyday health but also be able to conveniently connect you with your doctor.
What it does
DocMe is a preventative health technology putting healthcare in the hands of individuals. By utilising edge-AI and computer vision, DocMe is able to:
- easily capture the user’s vital signs directly from a smartphone camera and immediately receive insights powered by accredited research
- connect users with their chosen medical professionals through a "privacy-first" telemedicine platform (Coming Soon!).
DocMe gets to work by first scanning the user’s face through their smartphone camera. The app then extracts minuscule details and analyses them. Today, the application can analyse 68 different regions on a user's face using AI, and, by magnifying subtle movements of the user’s skin, DocMe can even extract early warning symptoms of disease.
Importantly, our solution can be achieved without requiring additional wearable components. Thus, our technology enables remote, frictionless vital sign monitoring and the results can be accessed in real time, thereby enhancing the speed of clinical responses. Moreover, clinically, it is valuable to add physiological information to the patient’s history and symptoms in order to guide personalised care. Our edge-AI model processes and stores user data on their device. Hence, DocMe doesn't require a steady mobile connectivity to use its self-assessment tool. [At the moment, our demonstrator that uses a web server model due to building functionality from scratch in a narrow implementation time frame] Additionally, users can choose to contribute to anonymised data based on the user profile to feed the research component of DocMe.
Finally, due to our edge AI processing and our software architecture, DocMe will be GDPR and HIPPA compliant.
How we built it
Given that our team spanned six time-zones, initial communication between all team-members seemed very difficult. Throughout any time of the day, it was a challenge to contact team-members at times appropriate to their time-zone. However, we soon realised how to leverage this into an advantage. We proceeded to organise teams and gain more information about available hours for our team members in order to make the most of everybody’s daytime. This way, we were able to get a multitude of assignments and objectives completed in an extremely efficient manner.
Accomplishments that we're proud of
We are very proud of the amount of work we were able to accomplish in a relatively short period of time. DocMe was able to develop a working prototype of the App, formalise a USP for the service, continue biomedical research efforts in the format of White Papers, and foster strategic, mutually-beneficial partnerships Dell Medical School and Diya Health all in a span of 3 weeks. We are also proud of producing a beta version of our application in the time of this hackathon, as DocMe is ready for beta testing on iOS and Android mobile devices (iPhone X and above). Finally, we are especially proud of our diverse, interdisciplinary team ranging from Malaysia to Cambridge to San Francisco for leveraging their unique skills to exceed our initial expectations and we could not be happier.
Our next steps would be to solidify DocMe as a viable business, conduct trials for efficacy, improve our AI diagnostics, and add features to create a more user-friendly experience.
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