We explain the problem of today's health IT broken foundational design. We explain how it ricochets across our breaking healthcare system and broadly negatively impacts patient care personalization, costs, and outcomes.
We explain how we plan to lay a new foundational health IT design. We explain how we'll use it to foster a novel patient-powered digital identity ecosystem through core
objectives and activities.
We explain our key strategies, and roadmap for success. We introduce our world-class team.
We explain the current doom loop of failure with declining population health and >$4T in exploding costs. We outline why Glasswing's modernized foundational health IT design is critical for reversing the doom loop to create a virtuous cycle. We make the case for how Glasswing can have a profound positive impact on our ailing US healthcare system.
Glasswing’s mission is to foster a new era of personalized healthcare by cultivating an ecosystem of fully private and secure AI-powered real-time aggregated health data for each individual.
We will empower each individual to access and gatekeep their health data within a secure and private self-sovereign identity (SSI) open infostructure ecosystem.
We aim to revolutionize health IT to prioritize patient rights, privacy, data accessibility and portability, open interoperable exchange, and shared decision-making with expert physicians.
Outdated legacy siloed data systems using proprietary data models are pervasive in healthcare and are akin to "industrialized soil." Each patient's data is hard to extract when making patient care decisions, which is associated with high effort and costs. This also limits a holistic view of each patient for optimal personalized care decision-making.
This outdated technology "industrialized soil" also limits what can "grow." It's a barrier to development of a variety of apps to provide critically-needed benefits from personalized AI-analytics and modernized physician user experiences. These new experiences are especially important for physicians to manage increasingly large datasets at the point of care.
