Healthcare Big Data Defined: Improving Care, Coordination and Coding

Lance Speck
Lance Speck

Lance Speck, general manager of Actian cloud and healthcare, speaks here about healthcare big data and how it can be used in healthcare to improve processes from care coordination to coding for ICD-10. In his day job, he is focused on delivering healthcare solutions to help payers and providers address an estimated $450 billion annual opportunity created through data analytics, ranging from fraud analytics to patient re-admission reduction to staff optimization to accountable care reporting and clinical auto-coding. For more than 20 years, Lance has served in a variety of management, sales and product roles in the software industry including a decade focused on SaaS, cloud and healthcare.

How can big data analytics improve patient care?

According to a recent PwC survey, 95 percent of healthcare CEOs are exploring better ways of using and managing big data; however, only 36 percent have made any headway in getting to grips with big data.  All agree that big data analytics has the potential to improve the quality and cost of care, but many are still struggling with finding the right ways to infuse analytics into everyday operations. Assuming they realize that they already have access to the data, what do they do with it? What are the areas that will have the biggest impact? Where do they start?

Start with the basics. Organizations should focus in infusing big data analytics where a big impact can be recognized. They should ask themselves:

Very early in the process, organizations should address how they plan to incorporate big data into the everyday workflow of clinicians, financial staff and other healthcare stakeholders for organizations to:

How can healthcare providers transition to ICD-10 as simply as possible?

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