AI and analytic tools platform partners with rare disease advocacy groups – MedCity News

This week San Francisco based company Komodo Health which has a Healthcare Map that gathers de-identified patient data from hundreds of sources announced its partnership with nonprofit Chan Zuckerberg Initiative. Through the partnership, the 50 organizations in Chan Zuckerberg Initiatives Rare as One Network will gain access to Komodos Healthcare Map technology, which they anticipate will allow the networks to catch diagnoses earlier, improve research speed, and close gaps in current care.

Historically patients with rare diseases prove difficult to track and analyze. However, the company believes that its Healthcare Map is expected to close this gap in need in conjunction with AI and analytics to unearth a more complete view of these patient populations.

Specifically, Komodos database includes the de-identified healthcare data of over 330 million patients. When joined with analytics and AI, this Healthcare map can provide insights on populations based on a variety of factors, from demographics to disease stage to geography, ultimately identifying rare disease patients and potential corresponding providers. The hope is that as a result, this will support earlier diagnosis so patients can receive treatment.

Our work with CZIs Rare as One Network gives us an incredible opportunity to empower over 50 patient-led organizations with data-driven software and intelligence that can enhance their work to accelerate research, unlocking treatments and cures for rare disease, said Web Sun, president and co-founder of Komodo Health in the press release. Komodo will now be providing the critical insights needed for these advocacy groups to dig deeper into patient behaviors and patterns of care and put breakthroughs into the hands of patients faster.

The partnership will allow CZIs Rare as One Networks 50 organizations to draw on Komodos technology for a variety of purposes. The technology will support patient advocacy leaders in the organizations to match patients with appropriate researchers and healthcare providers, analyze demographic disparities, and note patient cohorts. As a result, they hope to use the technology to more completely see the diagnostic journey for rare disease patients and to adjust care to shorten those timelines to successful treatments.

We are excited to support the Rare As One Network organizations as they utilize Komodos software to address unanswered questions in their disease areas, said Heidi Bjornson-Pennell, CZI Rare As One Program Manager in a news release. We believe in the power of data and technology to unearth the critical insights needed to address the unmet needs of these patient communities.

Photo: JuSun, Getty Images

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AI and analytic tools platform partners with rare disease advocacy groups - MedCity News