News

ELHS Institute’s GenAI-ELHS Solution Wins Global Challenge for Cancer Navigation

 

📅 June 1, 2025

 

We are excited to share that ELHS Institute’s GenAI-ELHS Solution has been selected as a winner in the recent global competition, Transforming Cancer Navigation with Open Data & APIs Challenge, sponsored by the Robert Wood Johnson Foundation and AcademyHealth, in collaboration with the American Cancer Society, HHS Office of the Assistant Secretary for Planning and Evaluation (ASPE), CancerX, MITRE, and Innovation Horizons. We are proud that our innovations in democratizing generative AI (GenAI) and Learning Health Systems (LHS) to transform predictive health care have been recognized by leading organizations in healthcare.

 

According to challenge operator HeroX, the competition brought together innovative teams addressing the complexities of cancer navigation using open data, modern APIs, and advanced technology such as AI. The selected solutions demonstrate new possibilities for improving care coordination, overcoming social barriers, and supporting patients and caregivers throughout the cancer journey.

 

As described on the challenge website, cancer patient navigation remains a critical challenge in the U.S., particularly in rural and underserved urban areas, where significant disparities in healthcare access and outcomes persist. The lack of integrated data systems makes it difficult for patients to receive coordinated, efficient care. As a result, many patients lack the guidance needed to manage their treatment effectively. Patient navigation is designed to address these barriers by helping individuals navigate the often complex healthcare system, particularly in cancer care. Navigators—typically human professionals supported by technology—play a vital role in ensuring patients receive the support they need.

 

🚀 New Solution: GenAI-Enabled Monitoring of Cancer Care Quality

 

The GenAI-ELHS Solution introduces a generative AI-powered platform that enables patient navigators to routinely monitor and improve the quality of cancer care. By integrating a GenAI agent into Equitable Learning Health System (ELHS) units, the platform continuously learns from local patient data to identify care gaps, support early diagnosis, and personalize treatment plans. It allows navigators to compare a patient’s actual care pathway against established standards through side-by-side visual comparisons—helping patients better understand their options and promoting shared decision-making.

 

ELHS Institute, based in Silicon Valley, is committed to using GenAI and LHS innovations to advance global health equity. With this winning solution, we will begin offering free training to clinical teams worldwide to support them in applying the GenAI-ELHS platform to improve cancer care quality—especially for cancer screening and early detection in low-resource settings.

 

Source: ELHS Institute

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