I’ve been working on including digital literacy in medical curriculum for long years now. It’s not the fault of medical professionals if they don’t know how to deal with e-patients as they have never been trained to acquire such skills. Here is one perfect example underscoring the notion I just described. An excerpt from one of my recent Twitter discussions.
Here is the e-patient course I mentioned to him.
Here is a great slideshow about using Twitter from the first steps.
Healthcare IT News published a list of physicians who have mastered the art of using Twitter for medical purposes and it’s a great honor for me to be included. Here is the short list without descriptions.
1. Kevin Pho, MD – @kevinmd
2. Mike Sevilla, MD – @drmikesevilla
3. Val Jones, MD – @drval
4. Tim Sturgill, MD – @SymTym
5. Bertalan Meskó, MD – @berci
6. Shelley Binkley, MD – @healthewoman
7. Mark Browne, MD – @consultdoc
8. Joseph Kim, MD – @DrJosephKim
9. Jay Parkinson, MD – @jayparkinson
10. Mehmet Oz, MD – @DrOz
You may remember when I wrote about a self-edited directory of European healthcare professionals on Twitter which was launched by Andrew Spong after I tweeted that I’m the only European doctor in the top 25 of the global list of doctors on Twitter. Here is the interactive map version.
This project is getting more and more attention and hopefully this movement will result in a very useful list of European medical professionals being active on Twitter.
Now over 60 medical professionals are listed and the list is getting bigger and more detailed every day.
This was one of my crowdsourcing examples in my keynote at the recent Doctors 2.0 and You.
I’ve recently got in touch with an amazing group, the Thesys Group. They invited me to their HQ to show me what kind of projects they are working on and we started a bit of brainstorming about what we could come up with together.
In our first project, the Thesys Group analyzed the network of discussions focusing on one of the most popular medical Twitter hashtags, MD_chat. In the figure below, a dot represents a Twitter user, lines connecting the dots represent their relationship. The bigger the dot is, the more tweets the Twitter user had. The thicker the line is, the more tweets the two users had with each other. Based on this, here is the network graph (click on the image below to access the interactive graph):
Dots in the middle account for active users, while dots in the periphery did not participate that often in these discussions. Graph includes only tweets including user names, therefore representing discussions. Here is a zoomed version of this graph just to show you how the dots are connected to each other on a smaller scale with @doctor_v and @jodyms in the focus.
A few numbers and facts:
- Tweets are dated between October, 2010 and October, 2011 (4815 messages).
- Data tables were obtained from a public Scridb database containing all the MD_chat discussions and can be downloaded in doc or PDF formats.
- 282 users are represented in the graph with 1972 connecting them to each other.
- Graph was visualized with the Gephi open-source platform.
The top 10 most active Twitter user using the MD_chat hashtag in discussions (largest dots in the graph):
||MD chat user name
||Number of addressed tweets
The aim of this short study was to point out the importance of medicine related hashtags and the growing popularity of these. The dynamic growth of MD_chat is a good example for the changes that we can see now in the everyday communication among peers. Therapeutic experience, news and opinions spread without geographical or linguistic limitations.
Please let us know what you think of this analysis and feel free to contact me or the Thesys Group for more details.
Clinical Current came up with a leaderboard of the most active users using the Twitter hashtag #hcsm (healthcare social media). I’m glad to be on the top, but it only means I’m active in this area. The scores are a mixture of Klout scores and activity.
The reason why I’m showing this to you now is that next week, I’m going to publish here a very detailed and thorough analysis of a particular medical Twitter hashtag and also visualize the results. Stay tuned!