DAIGNOSIS

The unprecedented healthcare demand due to sudden outbreak of the coronavirus disease 2019 (COVID-19) pandemic has almost collapsed several healthcare systems, especially in the developing world. The quality and accessibility of healthcare depend on its accessibility, availability and affordability. People living in extreme poverty are unable to afford treatment/health insurance, additional costs spent on transportation to and from the clinic and the opportunity cost of forgoing a day’s earnings. For such people, our app aims to give them access to basic healthcare with a simple internet connection. If possible, we could even explore the possibility of running the app offline in the future. As for the mass population, most people use google as their first attempt at finding a remedy to their symptoms, however, google is infamous for overexaggerating symptoms which causes people to panic. Our app aims to alleviate anxiety in such people by giving them a more reliable avenue to get diagnosed. Additionally, our app helps to reduce the burden on the healthcare system by diverting minor outpatient cases away from the clinic/hospital, incurring cost savings for patients and avoiding an opportunity cost of reduced capacity for hospitals. All in all, our app aims to benefit people living in poverty by providing them with access to basic healthcare and the general public by providing them access to collaborative yet anonymous health data, alongside a more convenient and reliable way to seek treatment for their symptoms. Our application will include three key features, all of which work together to form a better health network: First, auto-dAIgnosis. The internet is usually unreliable when it comes to information relating to health conditions and symptoms. For example, over-exaggerating certain conditions might lead to greater anxiety among the public. Our app, using the health data of the user, coupled with simple yes/no questions, will diagnose the condition. Users can also upload images of their symptoms, if applicable, which can be analysed by machine learning image detecting software to better conduct diagnosis. Of course, no diagnosis can be 100% accurate, so our app will provide a list of most likely conditions. The app will go on to advise the user on the chance the condition will require a doctor’s opinion or help. Second, information on health related resources. When people want to get a specific medicine after getting a prescription from a clinic, they visit pharmacies without knowing if the medicine is in stock, resulting in both wasted time and effort, as well as exposure to health risk, since such areas are frequented by sick individuals. By collaborating with official health networks, we will be able to advise sick individuals on which pharmacies have the required medication for them. This can be integrated with clinic records, so that patients can only be allowed to check for medicine at a pharmacy if they have been prescribed it. Thirdly, big data analysis. This app will be able to collect a large amount of health-related information, which could aid in preventing spread of illnesses. It would be able to form a health map, and view the geological locations where certain diseases have been present. From there, it could issue health warnings to those living in vulnerable locations, thus helping reduce the chance of outbreaks happening. Such data analysis to prevent disease spread is already used today, but this app could both expedite the collection of data, as well as the dissemination of warnings and advice. • Our target audience consist of mainly 3 groups. Firstly we are targeting sick person who are living in poverty stricken rural areas, with little accessibility to healthcare. Moreover, People might be inconvenienced by hospital / doctor visit such as those with busy work schedules or live further away from medical facilities. Some people could also be Medically vulnerable persons, since visiting medical locations in person exposes them to diseases. Secondly, we are also targeting the healthcare system so as we hope our app would reduce unnecessary visits and reduce the load on the healthcare system. Finally, we are also targeting the average person as health warnings and advice will be regularly disseminated to individuals While a business plan is key in any application, our team’s main priority is to ensure that the user has a trouble-free experience while navigating through our application. Given that our group has put a large emphasis on accessibility as well, especially for those who are living in poverty stricken rural areas, putting a cost barrier on our app would seem counter intuitive. Moreover, having in app purchases will also not be a popular option amongst our target audience. Hence, after careful consideration, we have come up with 2 business models which will make the application profitable but not affect the front-end user experience.

We are team DAIGNOSIS, a group of 4 students studying at Raffles Institution in Singapore. We all went through the 3-year Computer Elective Programme which is an intensive computing subject offered by the school. As a team, this is our first imagine cup competition and we are excited to work together to design something creative, innovative and beneficial. We are passionate about creating a change through technology that isn’t only exciting, but also useful for everyone, anywhere. With a world population that has reached 8 billion people and continues to grow, we believe that accessibility is a key part of technology in the future. We understand that a larger population would mean that lesser people’s needs can be met and there will be a greater strain on resources. Furthermore, not only is the population increasing but there is also the problem of an ageing society which results in prioritising resources for the elderly. We are grateful for this opportunity and to be able to showcase our idea on this prestigious stage. Using Microsoft Azure resources, we hope that our application will be powerful and well capable of meeting the needs of our target audiences. Pranav: Raffles Institution, 11th Grade, Graduating in 2024 Hi, my name is Pranav and I'm a Year 4 student at Raffles Institution. I'm passionate about coding and am constantly reading up about the tech space. I'm also keen in investing and finance so I'm always reading up on news and articles about bluechip companies. As an avid fan of coding, I have been part of the Computer Elective Programme in school for 3 years now where I have gotten the privilege of learning many complex topics like Monte Carlo Simulations, Inferential Statistics and the methods of Machine Learning. Such topics challenge me to rack my brain in order to fully comprehend them and this is exactly what I seek my enjoyment in. To hone my skills, I have taken up several online courses over the holidays which I have found to be very useful for my learning. All in all, I strongly believe that taking part in this competition will undoubtedly help me to broaden my horizons, as well as put into real-life practice what I’ve already learnt in theory. Sashil: Raffles Institution, 11th Grade, Graduating in 2024 My name is Sashil Anand, currently studying at Raffles Institution. In terms of academics, I am taking a triple-science course, with the Computer Elective Programme as my 10 subjects. I am also in the Raffles Academy, an accelerated learning programme for literature. As for my CCA, I am currently in the school Softball team and have also been selected for the Softball National team, which gives me the opportunity to represent Singapore in local and overseas Competitions. I am also a passionate leader who likes to empathise and connect with others. In my free time, I love to explore technology-related stuff such as Machine learning and Artificial intelligence. In order to further my skills, I take on courses online such as CS50 and keep up with the latest technological advancements. I feel like taking part in competitions such as Imagine cup gives me a great venue to showcase what I have learnt so far. Joshua: Raffles Institution, 11th Grade, graduating 2024. I am passionate about computer architectures and cloud development. I have been tinkering with gadgets and electronics since young, from basic Lego bricks to Mindstorms, to full-on computer coding. Inevitably I was introduced to the Internet and I have been fascinated by it since. My understanding of how computers work and how different clients on the cloud interact with each other has grown tremendously along with my passion for the subject. I hope to become a mechatronics engineer when I grow up, most specifically in the UAV sector and automated systems. Nathan: Raffles Institution, 11th Grade, Graduating in 2024 I am someone who is fascinated by the many facets of technology, and enjoys trying his hand at new and interesting areas of development. I really enjoy learning and developing my skills related to the use of technology. As someone who has much passion for technology in general, I am always desiring to learn more and improve my understanding and grasp on concepts, while at the same time honing my skills.