Launchpad is a geospatial search engine for planetary and human health, integrating satellites, environmental data, and epidemiological information in real time. It aims to be a platform for a new global pandemic system for threats such as COVID-19.
Health insurance companies rely heavily on health and predictive analytics, and the healthcare analytics market is predicted to reach $53.65 billion by 2025, and the market size for predictive analytics market is forecasted to be $23.9 billion. More specifically, the geospatial analytics market is predicted to reach $134 billion by 2025.The addressable market for the XY.ai pandemic surveillance platform represents the union of these existing markets. There is also major potential for these markets to expand in response to future public health challenges such as epidemics, syndemics, and pandemics, which will impact health insurers, governments, non-profit organizations, and other entities who will deliver solutions and interventions in this space. The total addressable market for the XY.ai pandemic surveillance solution and related technologies to be in the billions of dollars, due to the contributions and overlap of the mobile health, healthcare analytics, predictive analytics, and geospatial analytics markets.
Currently, there are no major commercial entities that are developing comparable technologies using the exposome, remote space sensing, deep-learning pipelines, and massively integrated data. While there are several health analytics companies that present geospatial health information (such as ESRI ArcGIS), none directly predict healthcare outcomes with these data.
Since the client for this project was funded by a large health insurance company, the problem to solve for was already determined: organizing information that helps people understand the risk of place and use it as a tool for generative positive health outcomes. Insurance, pharmaceutical, and digital health companies need a way to identify and assess the risk of a region to help inform their decisions on how to generate positive health outcomes for any community.
Since the user seeks information about COVID-19 related risk factors, they should feel a sense of trust, authority, and transparency in the product. Ultimately, the user should feel like they can rely on the product as a tool to generate decisions based on their specific use case.
Given our client, the following user stories were created to best align with their goals for the product:
Analysts at insurance companies need to identify regions with high PM2.5/asthma risk scores to help improve asthma outcomes by targeting educational programs in that region.
Physicians need to identify regions with high PM2.5/asthma risk scores/pediatric populations in order to recruit patients for asthma studies from that region.
Upon starting the project, I annotated an existing prototype using a conventional heuristics and accessibility evaluation to assess the existing framework and features and identify gaps and opportunities for design to address.
Learning about the requirements and overall structure of the current prototype, as well as aligning with product on which features and revisions to prioritize for the next version based on the heuristics evaluation, I created a site map converge the pages and features together.
I decided to look at a divergent set of products that all utilized maps in a significant way in their product or website. Inspired by modern and familiar map styles seen on Google Earth, Patagonia, and the National Geographic, the product needed to have a prominent and clean map interface to tell a cohesive story, and a dedicated space for additional resources and data. The main challenge was designing for added complexity to an interface that needed to have clear hierarchy to remain effective, engaging, and clear to users across major breakpoints (desktop to mobile).
Main features include:
The additional Vaccines interface includes: