Much like social media, the #HIT100 is never without a few challenges, but I’m also happy to say that this year’s #HIT100 exhibited an extreme amount of gratitude and appreciation from and for thousands of people in the healthcare social media community.
I’m impressed by the number of people participating in the #HIT100. Symplur calculated that the #HIT100 hashtag generated 42 million impressions across 6195 tweets and 1852 participants (some just used the hashtag for discussion and not a nomination). Those are impressive numbers.
As I mentioned, I don’t intend to publish a ranked list of the #HIT100 as has been done in past years since I think ranking on the #HIT100 can be easily gamed and therefore ranking on the list has little meaning. However, I think a list of 100 social media accounts that many in the community recognize as valuable is something worth sharing. It’s a great way to discover new accounts, be reminded of accounts you haven’t seen in a while, and find new sources of information and insights into the industry. This year we had quite a few people I’d never seen before and what seems like a larger international group than previous years.
I’d hoped to find a way to publish the final 2017 #HIT100 list where it would list the top 100 accounts in random order that changed on every refresh. Unfortunately, I didn’t have the time available to really flesh this out. So, I’ve resorted to publishing the #HIT100 list in reverse ABC order (because the A’s always get first and so why not the Z’s this time?).
Over time I hope to publish other interesting insights and charts from the nominations including popular hashtags, other engagement stats, those only nominated by one person to the #HIT100, those who weren’t on previous #HIT100 lists, etc. For now, take a minute and browse through this impressive list of people who largely care about using technology to improve healthcare.
Finally, a big thank you to Joe Warbington (@JWarbington) from Qlik for providing a pretty amazing tool for me to analyze all the #HIT100 nominations and Dennis Dailey (@_hitshow) who suggested I work with them. I’d seen Qlik work on EHR data, but I didn’t realize it could so easily collect and analyze Twitter data as well. Thanks to them for providing the tool I could use to analyze all the nominations.
Data Disclaimer: We made an effort to ensure the data was as accurate as possible for this list. However, since we see this just as a fun activity of social discovery and appreciation, we didn’t go to great lengths to ensure the accuracy and won’t be publishing the “rank” on the list. In fact, we’re sure it’s not 100% accurate. If that’s an issue for you, we welcome you to pull the data from Twitter and do your own analysis. We welcome any and all to take the nominations and use them however they may. The beauty of the #HIT100 is that it’s all available to anyone to assess, slice, dice, interpret, and use however they see fit. If people publish 20 different #HIT100 lists, great. More discovery of new and interesting people for everyone involved. The following is our quick and dirty analysis of the nominations.
#HIT100 Twitter Accounts
A big thank you to everyone who participated in the #HIT100 this year. Let’s keep sharing the good and showing appreciation for the people who influence our life for good.