Porcupine Mobile and Web Application by Zhuyuan He |
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| DESIGN DETAILS | |||||
| DESIGN NAME: Porcupine PRIMARY FUNCTION: Mobile and Web Application INSPIRATION: One in five people in the United States had a sexually transmitted infection (STI) on any given day in 2018, resulting about 68 million reported infections. Finding testing service providers can be stressful and frustrating . For government and healthcare researchers, there are serious limitations for the current CDC STI surveillance system which doesn't provide a nuanced understanding of infection epidemiology since it relies on aggregated case rates, making it difficult to allocate resources UNIQUE PROPERTIES / PROJECT DESCRIPTION: Porcupine is an AI powered application that provides access for sexual health information, eases the stress for healthcare test booking process, improves the digital care pathway and standardizes data collection model for future real time data analytics. OPERATION / FLOW / INTERACTION: From the users side, the onboarding questionaries will help to set up the user profile. Once login, users can view and see the customized information on the home page. Users can use the AI chatbot to ask any question regarding the sexual health and the answers will be tailored to their profile such as age, gender, sexual orientation, race and ethnicity. Users could search sexual healthcare provider and testing sites based on different preferences and filter criteria, and book the appointment directly within the app. Once the appointment is booked, user could choose to fill up the standardized survey online to avoid filling up in person during the clinic visit, and get a test code on the app. They could show up at the test site with the code without sharing their personal information in public. From the clinical monitoring and surveillance side, the in-app patient survey provides a template that helps to expand the data types so it could be used to plot insights based on more data points in real time. It also helps to reduce the manual entry and delays of reporting. On the web application, it is integrated with the AI system for data analytics so researchers could use synthetic data directly to conduct researches timely and effectively while keeping patients’ personal information private and confidential. PROJECT DURATION AND LOCATION: Project started: 2023, July Location: The United States FITS BEST INTO CATEGORY: Interface, Interaction and User Experience Design |
PRODUCTION / REALIZATION TECHNOLOGY: Design Figma, Adobe Illustator, Affter Effect Technology GPT-3.5 Large Language Model, Flutter, Websockets, javascript, chartjs, Mapbox SPECIFICATIONS / TECHNICAL PROPERTIES: Tools: GPT-3.5 Large Language Model. We tuned the ChatGPT model to be a domain expert in sexual health, wellness with a focus towards preventing STDs, safe sexual practices, methods of protection, common symptoms and strategies for maintaining overall sexual health We also use the survey answer and background information of the user to further tailor the Porcupine bot for the user. MapBox for graphing geographic data. Realtime data syncing via Websockets For our patient app: We used Flutter a cross platform framework to develop our app. This means our app is instantly available for all platforms IOS, Android, Web, Windows, OSX without any extra work.We also use the survey answer and background information of the user to further tailor the Porcupine bot for the user. MapBox for graphing geographic data. Realtime data syncing via Websockets TAGS: AI, sexual health, mobile app, data analaytics RESEARCH ABSTRACT: Methodologies: We were inspired by new monitoring and surveillance techniques beyond case based surveillance. SSUN was a big inspiration. We learned that the SSUN network relies on manual phone calls to collect their in-depth patient surveys. To truly improve data analytics of STI, it’s important to improve the quality of the data that can be collected beyond case based surveillance. We collect and download all available data from CDC survillence website and aggregate different varients of sexual diseases using python to understand the issues with its demographics and built up our target audience Meanwhile, we also interviewed and collaborate with domain experts from CDC (Centers for Disease Control and Prevention), National Academies of Sciences engineering and Medicine, National Association of County and City Health Officials, Treatment Action Group, etc to further understsand the scopes and issues We also conducted competitor analysis by analysing the available servies in the market across the United States CHALLENGE: Finding clinic and testing service providers for STIs can be incredibly stressful and frustrating. When searching on Google for STI testing sites, the first 10 results are often advertisements for expensive private testing sites, charging fees of up to $260 or more for a full test. What's more, many of these websites require payment upfront without providing any professional pre-diagnosis. Some also use human-like chatbots that could be intimidating and off-putting. It's a real challenge for individuals to determine which tests they need based on their symptoms, as they are required to navigate through various types of STIs and make an educated guess or self-diagnose. This process can be embarrassing, especially for people who want to maintain their privacy and avoid their parents, friends, or the public finding out. Even though the CDC website offers tools to search for nearby free or low-cost services, individuals still have to visit the website, read about available testing options, self-diagnose, and compare multiple sites to find the right one for them. In many cases, they also need to schedule appointments over the phone, which can make people feel uncomfortable. From both government and healthcare researchers perspectives, it is challenging to run any meaningful data analysis if the data sources are lacking. There are serious limitations the the existing CDC STI surveillance system, the system does not provide a nuanced understanding of infection epidemiology because it relies on aggregated case rates. There are also substantial variation in STI surveillance capacity across states and local jurisdictions but the current data collection regarding STIs is neither streamlined nor uniformly formatted. We are currently unable to gather real-time data reports and act promptly and effectively, making it difficult to allocate resources and funds to address the situation. ADDED DATE: 2023-10-04 23:03:13 TEAM MEMBERS (1) : IMAGE CREDITS: Music: Warm Memories - Emotional Inspiring Piano by Keys of Moon | https://soundcloud.com/keysofmoon Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/... Music promoted by https://www.chosic.com/free-music/all/ |
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| Visit the following page to learn more: https://www.hezhuyuan.com/porcupine | |||||
| AWARD DETAILS | |
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Porcupine Mobile and Web Application by Zhuyuan He is Runner-up for A' Design Award in Mobile Technologies, Applications and Software Design Category, 2023 - 2024.· Press Members: Login or Register to request an exclusive interview with Zhuyuan He. · Click here to register inorder to view the profile and other works by Zhuyuan He. |
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