Our colleagues at the University of Maryland Human-Computer Interaction Lab have produced a dramatically effective prototype for medication reconciliation. It is amazingly effective, and gets better with each revision (I'm aware of three versions).

What is medication reconciliation?

That's when a healthcare provider has to compare two versions of your medication list. Say you go see your physician, who gives you a printed copy of your medication list as it was the last time you visited them. Now, you compare it to your personal list (or sack of bottles) of medicine. Do they match? If not, what's missing, what's extra, or what has changed?

If you think that sounds easy, you might think otherwise if you happen to be taking a dozen different medications. It's not that far fetched if you have the big 4 (diabetes, high blood pressure, high cholesterol, and obesity), and then toss in a couple more problems (depression, arthritis, sexual disorders). It's easy to rack up 1-3 medicines per problem.

Watch this short video to see what reconciliation involves. Dr. Catherine Plaisant narrates.

What's the big deal?

When I show this to physicians and nurses who have to do this job manually every day, they are amazed and impressed, and they want it NOW in their own electronic health record software!

Here are some features that make it so effective:

Animation: The logic becomes transparent
Proximity: Like items merge, unlike items move farther apart
Alignment: Columns convey meaning, and condensing adds visual efficiency
Color: Meaningfully employed. Green is ready to go, gray is retired to the sidelines.
Cognitive effort reduced: Software does the matching, rearranging and condensing, then proposes "near matches" for human adjudication.
Highlight differences: The text that doesn't match in two items is highlighted, adding efficiency, accuracy, and safety.