Articles

  • 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.

  • Anand Shroff, Health Fidelity Founder and Chief Development Officer, explains how value-based care is changing not only how patients are cared for, but also how health plans and providers are measured and compensated for performance.

  • Health Fidelity Founder provides insight on the digitization of healthcare and how technology, such as natural language processing (NLP), is helping to transform healthcare efficiency, quality, and cost.

  • Artificial intelligence (AI) is already making an impact on risk assessment and risk adjustment. By leveraging AI to conduct coordinated retrospective and prospective analysis, organizations can optimize their risk adjustment programs to identify gaps and opportunities to improve both patient and payer outcomes.

  • Natural language processing is becoming an essential tool that helps health systems manage a range of use cases from risk adjustment to value-based reimbursements. Companies like Microsoft, Epic, and Health Fidelity are in this space as well as many more.

  • In post-acute efficiency, "opportunities exist for more administrative efficiency even after patients leave the system." For example, UPMC health system partnered with Health Fidelity in the risk-adjustment cycle to optimize coding for Medicare Advantage.

  • Health Fidelity CEO Steve Whitehurst speaks with Digital Journal about the state of healthcare and how technology is disrupting it. Steve discusses how the U.S. healthcare industry is working to make the transition from a fee-for-service model to value-based care.