What They Are, How to Address Them, and How to Avoid Them
By Hank Neuhoff
Many hospitals and healthcare systems are challenged with having too many analyst needs and too few analysts to complete the work. The massive increase in available healthcare data and our insatiable desire to extract value from that data are both going to continue to grow.
With the increased need for analyst expertise and the shortage of analysts to do the work, we simply cannot afford the cost, time, or trauma of repeating classic analyst missteps. The purpose of this post is to highlight some of the common mistakes analysts make and address how to avoid them.
