Identifying Differences Between Two Records

I am trying to test some data handling between two different versions of an application.

I have restored the database schema twice, once as DB_old and once as DB_new.

I import a transaction using the new application into DB_new and I import the SAME transaction into the DB_old using the old version of application.

I then have to eyeball the data in SQL Query Analyzer to try to identify problems where the fields have received different values.

I have done this by running a select statement twice telling it to use both of the databases and then viewing it in two grids. There are a lot of columns so I have to do a lot of scrolling across the screen to do the comparison, and since the view is in two separate grids I have to hop back and forth and click the scroll bars, etc.

It seems like there has to be a better way. I don't suppose there is a way to lock the two grids so they both scroll together is there?

I was thinking maybe I could insert each of the selects into a temporary table and then do some kind of comparison to identify which values were different in each column. Some of the columns will have differences, like the timestamp, but if I could somehow identify which columns were different then I could eyeball them to identify which of those were okay to be different and which of them were actually bugs from the changed application version.

I have no idea how to identify those individual columns with different data values or even where to start.

Just so you understand better what I am doing now here is the query I am running that I then eyeball:
use DB_new
select * from claim where claim_id = 35144
use DB_old
select * from claim where claim_id = 35144

Thanks for any ideas.