Healthcare analytics is evolving to a greater focus on analyzing data using prescriptive analytics and providing proactive solutions.
This article first appeared in the September 2017 issue of HealthLeaders magazine.
Healthcare analytics is evolving from analyzing what has happened (descriptive) to anticipating what will happen given past data (predictive) and, in its most powerful iteration to date, expecting what will happen plus providing proactive solutions based on those predictions (prescriptive). So what comes next?
The next step in this evolutionary process is the application of artificial intelligence to healthcare data to help providers make the most effective decisions possible, both financially and clinically.
While AI is still in its early stages and has yet to be fully embraced by healthcare leaders, many believe that it offers tremendous potential for analyzing the vast amount of data generated by
At this point in time, the application of AI in healthcare is fairly minimal. According to respondents in the 2017 HealthLeaders Media Analytics in Healthcare Survey, for example, only 14% of respondents say that their organizations use a software platform that provides an artificial intelligence capability.
However, 35% of respondents say they don't currently have this capability but plan to within the next three years, indicating that there is potential for growth.
Jonathan Bees is the senior research analyst at HealthLeaders Media.