Accordion Health

Accordion Health

Builds innovative data-driven platforms for value-based care.

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$230k

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Founded in 2014 by Joyce Ho, Yubin Park, and Sriram Vishwanath, Accordion Health operated as a predictive analytics company headquartered in Austin, Texas. The company's journey began with participation in an accelerator/incubator program in May 2014, followed by securing grant funding from the National Science Foundation later that year. The firm was officially acquired and merged with Evolent Health in June 2017.

Accordion Health focused on the healthcare technology sector, specifically targeting the movement towards value-based care. The company provided a healthcare data analytics platform for organizations like healthcare payers and providers, arming them with predictive analytics to forecast medical and financial scenarios. Its business model centered on delivering custom analytics and precise predictions through its software, enabling clients to lower costs and improve patient outcomes. The platform utilized machine learning to process data, identify undocumented conditions, and track member behaviors in real-time.

The core service was a predictive analytics platform available through APIs, designed to help risk-taking healthcare organizations improve quality metrics, such as Star Ratings. By predicting future medical events that would impact finances, the platform allowed patient-management providers to identify which actions would yield the most significant impact, thereby increasing reimbursement and driving better health outcomes. For patients, the platform offered tools to explore and compare costs for medical procedures and understand their potential health and financial trajectories.

Keywords: predictive analytics, healthcare data analytics, value-based care, machine learning, patient management, cost prediction, Evolent Health, healthcare outcomes, personalized forecasts, risk adjustment, Star Ratings, medical event forecasting, population health management, healthcare finance, clinical data analysis, member behavior tracking

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