In this guest post featured on Upjourney.com, BHI’s Sanket Shah provides a firsthand account of how following physician instructions can sometimes fail to account for lower-cost treatment settings. He explains the costly lesson of getting x-rays and CT scans in numerous locales after an ankle injury, and how the higher costs he experienced might have been avoided. His personal experience … Read More
Achieving Equity in Healthcare Modeling
As the pandemic has made painfully clear, healthcare utilization and cost do not always indicate true healthcare needs. People of color are contracting the novel coronavirus and dying at rates that are staggeringly out of line with their share of the U.S. populace. Recent social injustice events in the U.S. have heightened industrywide discussion of healthcare equity. BHI’s data scientists … Read More
Top 10 “Must Haves” for Effective Predictive Modeling
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
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