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Mike Berger Shows What Data Makes Possible

American Health Leader Magazine

Connecting clinical intelligence with diagnoses also helps Mount Sinai understand and quantify reimbursement and care gaps, where a natural language processing-driven risk adjustment solution from Health Fidelity supports their efforts. Adam Gronsky, chief innovation officer at Health Fidelity, notes, “Mike recognized the power of NLP to improve coding accuracy at scale, but also saw its potential for unlocking previously untenable insights. He’s always looking to expand and develop new ways to apply our solutions to support the population health mission at Mount Sinai.” Data is helping enhance population health outcomes, though Berger still calls it a “number’s game,” and his team continues to work with Health Fidelity to improve its prioritization and outreach approach to help understand who might have acute issues, and the factors driving those.

UPMC Turns to NLP to Make Sense of Unstructured Data

UPMC is investing in, and leveraging, NLP to make unstructured data in healthcare accessible and actionable. UPMC uses Health Fidelity's NLP engine to optimize their risk adjustment, and has also selected Health Fidelity’s HF360 Provider solution to standardize the risk capture process across all populations and increase efficiency.