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Fairway Health

AI Co-Pilot for Health Insurers to Authorize Treatment Faster

Y CombinatorWinter 2023AcquiredHealthcareHealthcare ITHealth TechB2BHealthcareHealth Insurance

What they do

Problem

Health insurers take too long to review complex medical records and decide whether to authorize requested treatments.

Solution

An LLM-powered AI copilot that analyzes lengthy medical records and recommends treatment authorization eligibility to speed prior-authorization decisions.

Who it's for

Health insurance companies and their prior-authorization/utilization management teams.

Founders

Moses Im
Founder

CEO of Fairway Health. Moses was previously an MD candidate at Thomas Jefferson Medical School where he also was a clinical researcher in patient outcomes of surgical vs transcatheter aortic valve replacement. Before medical school, he also did molecular biology research at Princeton University in HIF-1α as a possible therapeutic target for Parkinson's Disease and the role of HIF-1α in early-stage development of aviary lungs. Moses has a bachelor’s degree in molecular biology from Princeton.

Joseph Chen
Founder

CPO of Fairway Health. Joseph has dedicated several years building at the intersection of health, ML, and software. He has research experience at Deepmind, Columbia, and Synbio Technologies in areas such as fabricating a neurosurgical tracking sensor and predicting antibody heavy and light chain pairing within an NGS sequencing library. He was also a software engineer at Pillpack where he built a service that checks if users' prescriptions are safe to take in the context of their health profile.

Grace W
Founder

CTO of Fairway Health. Grace previously worked at Asana and AWS on authentication/authorization and IoT device data monitoring respectively. Before that, she worked at MDClone, developing packages to enable the analysis of hundreds of thousands of datapoints for attributes such as patient remission. She also previously did research in ML in computer vision (detecting diseases from retinal OCT scans) and natural language processing (efficiently optimizing pre-trained language models like GPT).

Company timeline

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