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Q&A: How data analytics can improve patient care

One of the biggest healthcare revolutions in the last 10 years has been the advent of analytics. By leveraging large data pools, improving patient care, and using new data analysis technologies, healthcare providers have been able to find innovative ways to harness analytics to ensure effective patient care and proper recordkeeping.

The following is a Q&A with Christopher Rafter, chief operating officer of Tampa-based Inzata Analytics, a company that provides a data analytics platform powered by artificial intelligence (AI). Here, he speaks about the future of data analytics in healthcare and how they can improve the effectiveness of patient care.

Q: What benefits can a healthcare organization enjoy from increased use of data analytics?

Christopher Rafter: Big data analytics strategies are maturing quickly in healthcare, outpacing numerous other industries. The reasons for this are the numerous visible and immediate benefits these technologies bring about, measurable benefits that can appear within weeks of adoption. Organizations are maturing their big data analytics strategies as they rise to the challenges of value-based care. This takes the form of collecting and analyzing more diverse data sets by combining multiple, physically separate data sources. Healthcare organizations are also taking advantage of technologies such as the internet of things (IoT) and robotic process automation (RPA) to collect and monitor more data than ever before.

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