Top 10 “Must Haves” for Effective Predictive Modeling

Sasha Gutfraind and Russ Michael Blog

BHI® developed a top 10 list of significant factors that contribute to successful predictive modeling based on our deep experience working with really big data. No matter how interesting your model’s output might be, if the analysis isn’t actionable, it won’t get used. Massive databases ensure that large enough cohorts, with multiple diseases and social factors, are represented. Exploring available …

Impactful Health Advocacy Programs are Built on Analytics

Alan Spiro Blog

Consumers are still immensely confused and frequently frustrated by their health benefits. Therefore, increasing number of payers are investing in 1:1 health advocacy or concierge care management programs that seek to  improve both members’ experiences while addressing payers’ cost and quality concerns. According to the National Business Group of Health®, employer-sponsored health advocacy programs are growing in popularity, with more …

Big Data Holds the Keys to Unlocking Barriers to Healthcare Cost and Quality

Swati Abbott Blog

There has been much discussion about the role of third parties and healthcare data. Healthcare data comes from a wide array of public, nonprofit, and for-profit sources. It is used for an equally broad set of purposes, including the delivery of higher-quality care and efficiency. Applying the modern tools of big data – such as predictive modeling and machine learning …