Tips, tools and resources to empower your analytics journey
American Researchers Dr. David Julius and Dr. Ardem Patapoutian from California were awarded the Nobel Prize in medicine for their path breaking work on the development of non-opioid painkillers, showing immense promise for combating the epidemic.
Inside look: How Blue Cross & Blue Shield of Rhode Island used analytics to reshape client retention and staff productivity
As much as the past 18 months of pandemic disruption have compromised staffing operations, financial stability, patient care, customer service, and many other facets of healthcare, we are also witnessing unique opportunities for transformation emerging in these spaces.
Managed care organizations that provide healthcare services to Medicare/Medicaid members are dedicated to improving the health and wellness of these underserved populations, especially those living in rural areas.
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Nebraska Methodist Health System gains revenue efficiencies
The real proof of analytics’ worth lies within the healthcare organizations themselves. Learn how Nebraska Methodist is embracing an analytics culture and driving true business value from their data.
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Companies tap into what people like to eat and drink, how we purchase consumables, where we like to shop, what shows we might like to stream, whether we vote, and so on. If you have ever created a profile on a streaming application (think Netflix or Amazon), you will receive recommended books, movies and other items just as soon as you start surfing.
In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.
In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.
Part 1 Throughout my career as a data scientist, I’ve been lucky enough to have a few opportunities to build data science teams, processes, and models from the ground up. Introducing data science into your organization can feel overwhelming, so I’ve put together some recommendations to help you along the way. While it’s incredibly tempting…