Setting Work Limits, Slow EMR Access, and Good, Better, and Best Data

Posted on April 30, 2018 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

It’s that time once again for a roundup of interesting tweets. There are always thousands more that we could highlight, so if you’re not on Twitter, why not? It takes some investment to get the best feed possible, but once you do it’s invaluable. Of course, we do our best here at Healthcare Scene to read everything so you don’t have to. So, at least we have you covered there.

Now on to the fun…


This is a fine point that is worthy of more discussion. Of course, it’s a universal problem that doesn’t just apply to healthcare. It’s worth noting that this doctor didn’t comment about the times she had to race into the office to look up a paper chart either because she got a call about a patient that was in the ER. As in most things in life, there’s a lot of give and take. Setting limits is really the key because the accessibility of records can save a lot of time too.


This is an interesting one for me. There are some real red flags here. First, if they’re using Citrix, then it’s likely not a true cloud implementation and likely means it’s an older EMR software. Not always true, but quite possible. Second, if the workflow is to print a list so they can write notes with a pencil, then they have some serious EHR implementation, adoption, and optimization problems. Is the optimal workflow a pencil and paper? My guess is not. However, the fact that the machine boots up slow probably indicates that this user doesn’t have great tech support that can show them a better way. Unfortunately, I think that this is probably all too common too.


Rasu offered some great insights into data at Health Datapalooza. This was a golden one that I could tell he’d shared quite a bit. How many of you work in organizations that turn data into action?