Top 10 “Must Haves” for Effective Predictive Modeling

Russ MichaelBlog

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 … Read More

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

Swati AbbottBlog

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 … Read More