@ShahidNShah
Our company started as a best-in-class Natural Language Processing (NLP) technology and inference platform to analyze vast amounts of unstructured data in order to provide clinical and financial insights. Our NLP engine was developed in close collaboration with Columbia University, whose faculty and staff continues to work closely with Health Fidelity scientists to advance and refine the engine’s accuracy through a supervised machine learning feedback loop.
Today we are focused on helping payer and provider organizations address risk and quality in value-based payment models through our prospective and retrospective solutions. Our applications were designed with real-world workflow input from UPMC Health Plan, a key development partner and strategic investor in our company.
Health Fidelity simplifies risk adjustment, offering risk-bearing organizations clear visibility into and control over the process. Through our NLP-powered solutions and expert advisory services, we …
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