slewis1 Member

@colemenwilson It definitely at least partially solves the question except they were wanting the unique readmission rate for by segments of 100 admissions of each unique provider. So if provider X had 23 readmissions in a segment of 100 discharges than his rate would be 23% at the same time as if another provider had 41…

@MichelleH. This did correct the view so I guess I can anticipate that the problem will correct itself in a couple days when it gathers more data. Still seems odd to me that there wouldn't be a way for it to simply reduce the card size/displayable information until it had all of the needed data to fill the gaps. Regardless…

@GrantSmith ignoring my last comment as I figured out what I was doing wrong. Focusing strictly on using the round function for elapsed days it works to take it down to 1 decimal with the Round(..., 1) but it leaves the trailing 0. For example if all the days its using is (1.91, 27.76, 16.95) etc it would round it to…

Gosh I'm trying to make sense of this, and I understand the concept overall but still struggling to get it to work right within my dataset. Like where are you pulling the universal timestamp from? I know how to get current date/time to use for calculations but not familiar with that one.

Thanks so much everyone especially @MichelleH that worked

Thanks a bunch that did the trick!