Health Fidelity Articles

  • 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.

  • Our CCO Robin Lloyd shares the complexity, inevitability, and opportunity in taking on risk in today's healthcare landscape, all while remaining focused on patient outcomes in this article from First Report Managed Care.

  • 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.

  • Health Fidelity partners with Change Healthcare to offer AI-driven risk adjustment coding solutions for Medicare Advantage, ACA commercial, and Medicaid health plans. Transforming a manual task into a automated process will help payers ensure complete and accurate coding.

  • Change Healthcare embeds Health Fidelity's natural language (NLP) and machine learning technology to provide a risk adjustment solution that will offer better compliance and more precise reimbursement.

  • Health Fidelity CEO, Steve Whitehurst, discusses the biggest innovation need in healthcare, how speech recognition technology will rapidly become a standard application, and how the idea that health IT will replace providers is completely off base.

  • The use of AI in healthcare is growing and, as it becomes more commonplace, organizations that leverage it will have a competitive advantage. Providers like Mount Sinai and UPMC are already using natural language processing (NLP) from Health Fidelity to analyze and identify risk across populations.

  • With so many healthcare technology options these days, figuring out the best choice for your company and needs can be difficult. Health Fidelity CEO Steve Whitehurst provides 5 tips on what to look for and how to evaluate the right technology for your organization.

  • Natural Language Processing (NLP) is uncovering a treasure trove of information, but there are three key issues organizations must address to pull off a successful NLP implementation. Find out what they are in this in-depth look at how to maximize the power of this emerging technology.

  • Contrary to popular belief, AI technologies will actually increase doctor-patient face-time – not limit it. Anand Shroff shares 3 ways in which AI allows for more doctor-patient interaction in Inside Big Data.

  • There are opportunities for AI to help reduce physician burnout. One such application is leveraging AI in diagnosis coding and risk adjustment, saving physicians the task of tracking quality measure specifications.

  • Read about the six skills Managed Healthcare Executive has identified as crucial to the success of healthcare leaders. Health Fidelity CEO Steve Whitehurst discusses the importance of embracing change in today's environment of exponential technologies.