This paper explains how the right population health management infrastructure can support collaboration among care providers and patients, imagines how cognitive computing could enhance clinical decision support, and demonstrates how data beyond what is captured in clinical records can inform decision making for providers and care teams.
The ability to identify and mitigate risk is a key component of effective value-based healthcare. This blog post explains how predictive analytics models can use past quality metrics reporting to help forecast future risk.
Watch this webinar replay "An Implementation Journey: The Importance of People, Processes, & Technology" with Rob Zimmerman, MD, Associate Medical Director at the Excela Health Medical Group. Dr. Zimmerman discusses the steps Excela took to provide the best care for patients, as demonstrated through improved office efficiencies, better patient engagement, and meeting quality goals.
Cognitive computing refers to systems that can learn at scale, reason with purpose and interact with humans naturally. These systems are designed to combine human intelligence with a range of artificial intelligence capabilities such as machine learning, natural language processing, and image analysis. This powerful combination amplifies the impact of what humans and machines can […]
This white paper describes how data and analytics can support providers at various levels of MACRA implementation.
The phrase “nothing about us without us” is a centuries-old political slogan declaring that no policy should be created without the full and direct participation of the people who are impacted by that policy. It was adopted by South African disability activists Michael Masutha and William Rowland in the 1990s, and became a call to […]
As more primary care practices continue to fine tune technologies to improve both targeting and active communication with patients, the central promise of value-based care – to balance delivering the best possible outcomes at the lowest possible cost – is coming into focus.
IBM Watson Health Helps New York City Improve the Process of Applying for Supplemental Nutrition Assistance Program (SNAP)
The average caseworker juggles somewhere between 20 and 30 cases at a time. That’s compared to the 10 to 17 recommended by the Child Welfare League of America. And because they’re juggling those cases, caseworkers are able to spend about 18% of their time face to face with clients. They spend almost twice as much […]
The Next Chapter of Enterprise Analytics for Payers Part 1: How Mature is your Enterprise Data Warehouse?
In part 1 of this blog series, we explore enterprise data warehouse (EDW) maturity, and how payers can evaluate this asset against measurable characteristics of a mature EDW.
Like most human services programs, the New York City Human Resources Administration (HRA) was challenged by growing caseloads. They needed to find a way to improve service delivery while addressing increased caseloads. They decided to transform their screening tool, ACCESS NYC, so that multiple in-person visits to one of its offices would no longer be […]