CIOs plan to spend more on predictive analytics in 2018 and recognize the need to invest in artificial intelligence and big data analytics tools to maximize their results.

Healthcare IT leaders are investing more time and money in predictive analytics tools because of their potential to improve population health and reduce care costs, but they will also have to invest in artificial intelligence and big data analytics solutions to generate truly accurate clinical predictions.

As the industry shifts to value-based care and organizations seek to extract more value from their data, it’s no wonder that health IT leaders are choosing to focus on predictive analytics in the coming year.

Health IT leaders also recognize that building predictive analytics capabilities requires investments in IoT, machine learning, and AI tools that can generate and filter patient data to assist in clinical decision making.

Ultimately, the success of predictive analytics depends on the availability and accessibility of accurate big data. CIOs planning to invest in predictive capabilities may also have to invest in AI, machine learning, and big data analytics vendors to ensure they have access to the data necessary to generate truly actionable insights.

 

This article originally appeared on healthitanalytics.com/.  To read the full article, click here.