Guest Article: Getting beyond the hype and hyperbole – what is clinical interoperability?

There is so much hype around healthcare and clinical data interoperability – I get emails all the time asking about what all of it means and the comments I received on the recent articles about it have been great. I’ve posted about interoperability before but I thought I’d reach out to Charlie Harp to see if he can explain it in plain English. Charlie is the CEO and founder of Clinical Architecture.

Bart Collet posted a comment to Dr. Rowley’s recent guest article on interoperability – he said the following diagram is a great way to show how inflexible many healthcare IT systems are these days: I love the picture, thanks Bart. Too many of our healthcare IT systems look like the device on the bottom – to make matters worse, many vendors don’t even have the three button Bart has in his photo.

AP reported this morning that CVS is settling patient information investigation with HHS and FTC to the tune of $2.25M. Here’s the gist of it: Employees at CVS pharmacies left the labels and other items in open trash bins outside stores, according to the Federal Trade Commission and the Department of Health and Human Services. The company also did not have adequate policies for disposing of that information, and did not sufficiently train employees to dispose of the information properly, the agencies say.

Dr. Robert Rowley is a practicing family physician in the San Francisco Bay Area, and has been using electronic medical records systems for 10 years. Recently he joined Practice Fusion as its Chief Medical Officer where he helps build a hosted web-based EMR free to physician end users. Dr. Rowley has written regularly in print media as well as blogs about a variety of aspects of ambulatory EMRs so I asked him to share with us his thoughts about a really hard problem: clinical data interoperability, especially for hosted solutions connecting to on-premise solutions.

Recently I’ve been sitting in many meetings in which I am amazed as to the lack of science and evidence when it comes to ideas in medicine and healthcare in general and healthcare IT specifically. It’s mind-boggling sometimes that people can nod their heads in agreement with a well known expert or authority in a field even if they say silly or downright stupid things from a scientific point of view.

A while back I wrote the Data Models in Healthcare series of articles. Beyond relational databases, which is of course my primary storage platform, one of my favorite techniques for managing the structured and semi-structure databases is to use XML. XML is a great persistence model for storage of schema-free data (and sometimes schema-fixed data). However, XML is not a natural model to do aggregation, consolidation, and analytics from various data sources (which is sometimes a pretty big requirement in modern health IT apps) so it’s something to be avoided in certain circumstances.

My last posting on healthcare IT application UI complexity was quite popular and got many comments both online and via email (thanks everyone). Readers were wondering if there are other sites or reports available to help improve usability. The folks at User Centric, Inc have a nice practice around exactly this kind of guidance. Two of their free reports will be very helpful to you if you’re interested in usability guidance:

A friend of mine sent me this drawing a little while ago. I have performed many usability analyses on healthcare IT software and I usually end up writing many pages of a “summary report” which should probably include the diagram shown above. It crystallizes the reason why HISs, EMRs, and other healthcare IT software gets a bad rap – they are often more complex to use and significantly more difficult train than many other commercial applications.

I liked what the folks are doing at TrialX, especially their integration with HealthVault and Google Health so I invited them to write share with us what they’ve learned. Chintan Patel is a co-founder and the CTO of TrialX, a startup that is developing social and semantic technologies to enable patients find matching clinical trials using Personal Health Records (PHRs). They’ve got some good ideas around easing patient recruitment for trials.

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