Home Health at Scale Secures $16M Series A Funding to Advance Precision Medicine with Machine Learning

Health at Scale Secures $16M Series A Funding to Advance Precision Medicine with Machine Learning

May 20, 2019 16:43 CST Updated 16:43
Health at Scale

Medical IT Company

VCBeat (WeChat Official Account: vcbeat) has learned that medical IT company Health at Scale recently announced the completion of a $16 million Series A financing round. This round was exclusively invested by Optum, a subsidiary of UnitedHealth Group.

 

Health at Scale, founded in California in 2015, is a startup with expertise in medicine and engineering. The company is dedicated to applying machine learning to the healthcare sector.

 

Health at Scale’s platforms and applications integrate cutting-edge machine learning capabilities to enable personalized predictive care decisions, thereby improving patient outcomes and reducing costs. By leveraging proprietary machine learning technologies, the platform precisely delivers recommendations for optimal physicians and facilities, as well as the most effective timing and therapies for interventions, to enhance patient health outcomes and care delivery.

 

Health at Scale’s platform assists individual members in selecting among different network providers to identify the specific provider best suited to their personal health status and unique needs, thereby guiding precision care services. The platform can identify individual members within complex populations who are at higher risk of adverse outcomes and apply selective, targeted personalized care pathways to help patients prevent disease progression in its early stages, thus reducing costs. Furthermore, Health at Scale’s platform provides members with personalized predictions of benefits, harms, and adherence across different treatment options, using these predictions to guide treatment pricing.

 

Furthermore, the platform under Health at Scale can correct and prevent inappropriate healthcare behaviors such as fraud and abuse. Among complex and dynamically evolving patient populations, the platform employs machine learning-based predictive modeling of healthcare institutional outcomes, conducts deep phenotyping and risk-adjusted assessments, to identify key trends affecting the quality of care, clinical outcomes, and total costs for insured members.

 

Zeeshan Syed, CEO of Health at Scale, stated, “The challenge currently facing healthcare enterprises is not a lack of treatment options, but rather how to proactively and accurately determine the optimal therapy, the optimal timing for treatment, and the most suitable treating physician for each patient. The unique advantage of machine learning lies in its ability to enable precision medicine through necessary precise delivery, thereby maximizing healthcare outcomes.”


About Optum


Optum, founded in Minnesota in 1985, is the health services platform of UnitedHealth Group. The company designs and implements customized information technology systems for the healthcare industry across China, providing analytics, technology, and consulting services.


(Compiled by Li Chengping)