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Do you know

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. (Sexually Transmitted Infections). In the past years from 2020 to 2021, the number of reported cases that includes STI chlamydia, gonorrhea, and syphilis had soared up to 2.5 million according to CDC's survillence data. 
Porcupine is an AI powered user-centered application that helps people to get better access for sexual health information, lower the barrier and ease the stress for test booking process, improve the digital care pathway and provide data collection model for future accurate and insightful real-time data analytics.
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YouTube Health Innovation Prize
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Onboarding experience helps to tailor the app based on the user type
Reusable data for future appointment booking and AI assistant
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Events, community activites, Services
Gamification for points and badges collection if users
  • engage with app resources
  • complete testings
  • getting checkup regularly
Tailored AI chatbot

Response with tailored answers to their profiles
Easy search for sexual health service providers
  • Improve and build upon the current CDC GetTested site
  • Allow more search criteria such as ratings, language support, public transportation
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Stress free booking
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Smart survey and grouping
  • Pre-filling process allows the patient to avoid on-site survey to protect their privacy 
  • Provides the streamlined template that can be used to plot clinical insights with the real time data
  • Reduce the efforts for manual entry and delays of reporting
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Unique test code for private onsite testing
  • Patients don’t have to provide any addtional personal details during the onsite visits
Clinical monitoring & Surveillance
  • dynamic and accurate data analytics will be possible with the adoption of this standardize data collection model
  • Integrates 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.
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Privacy & Confidentiality

We value the patient privacy and take it seriously in to our design consideration. we strives for implementing a novel technique called synthetic data generation, that takes our real patient data and uses a machine learning model to artificially generate new data that retains all of the key characteristics, attributes, correlations, distribution. This new synthetic data is statistically indistinguishable from the real dataset and allows generating the same insights and predicate models with the benefit that the synthetic data no longer traces back to real people. This means you can go beyond the aggregated data analytics by utilizing, sharing and transferring the synthetic dataset without any disclosure risk.
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