Its an interesting trend of a great many Social Media Analytical tools that are being used for Analytics. And using these tools in Healthcare is also becoming a welcoming trend.
- Infomous
- Symplur
About Infomous:
Now this tool allows you to log in and create a cloud of words that are “Trending” based on the various inputs you give to the tool. For instance, we registered ourselves on their website and went about giving the list of various hashtags I tweet with.
I also tried other option of providing the tool a combination of twitter hashtags, RSS feeds, facebook posts, linkedin posts and many other options.
I finally settled on the list of hashtags that I tweet out with while sharing tweets on HealthIT on the @HCITExpert twitter account.
Infomous allows you to do the following:
- define the “search” criteria
- create a widget that you can go ahead and embed in your website.
- define the color,
- the size of the widget,
- allows you to create a button link to your word cloud
- hover above any of the words displayed on your cloud, and Infomous cloud displays the associated Tweets
- Allows the user to select the words to be hidden for that proverbial spammer during your conference, tweet chat 😉
Head out to Infomous and create your own cloud of words that you tweet, blog, share with on social media. We would love to see the cloud you came up with, share it out with the hashtag #HITSMIND
About Symplur
“The goal of the Healthcare Hashtag Project is to make the use of Twitter more accessible for providers and the healthcare community as a whole.” – Symplur
There are great many case studies listed there how the experts are using the information being shared on Twitter using hashtags.
Symplur can be used for the following aspects: (to name a few)
Â
- Hosting Healthcare Tweetchats (plug: we have a Health IT Social Media INDia hashtag : #HITSMIND )
- Healthcare Conference Hashtag Analysis: Organising a Healthcare Conference? Head over to Symplur and register your hashtag with them. Post conference Transcripts and Tweet analysis from the conference are displayed in the various reports Symplur provides.
- Disease Hashtags
- Ontologies
- Regular Hashtags
- Symplur Signals: promotes deep understanding of healthcare as seen by patients, doctors and other stakeholders with real-time access to insights from over a billion healthcare social media data points
Please review their blog “Connecting the dots in healthcare social media” for the various ways in which Social Media Analytics is being used.
Look forward to hearing back from you with your thoughts and insights.
[tab]
[content title=”About Manish Sharma” icon=”fa-heart”]
Manish Sharma
Connect with me via any of my Social Media Channels
[/content]
[content title=”Latest Articles”]
- TRIVENI: A remote patient monitoring solution via @msharmas – Part 1
- Health ID as Patient IDs unifier in India by Manish Sharma
- Top Healthcare & Digital Health Predictions for 2016
- Zen Clinicals: An Activity & Workflow based solution (1 of 3)
- 5D Delivery Framework
- RFID in Healthcare: Usecases from Hospitals
- 10 Solutions for the Healthcare IT Fringes
[/content]
[content title=”Suggested Reading”]
- 10 Big Technology Trends in Healthcare – HP
- 5 health IT trends set to shake up industry – Healthcare IT News
- 3 Technology Trends Transforming Health Care – Forbes
- Healthcare IT: Top 5 eHealth Trends Reshaping the Industry in 2015 – Accenture
- Healthcare IT: Top five digital trends fueling disruption in healthcare – Accenture
- Healthcare Technology Trends – CIO.com
- 3 Trends Are Reshaping Healthcare IT – InformationWeek
- Top 7 Healthcare Trends and Challenges for 2015: From Our Financial Expert – Health Catalyst
- 2015 Healthcare Trends – PwC
- 5 trends that will redefine your healthcare experience in 2015 – Fortune
[/content]
[/tab]
.main-inner .columns { padding-left: 0px !important; padding-right: 0px !important; } .main-inner .fauxcolumn-center-outer { left: 0px !important; right: 0px !important; } .main-inner .fauxcolumn-left-outer, .main-inner .fauxcolumn-right-outer, .main-inner .column-left-outer, .main-inner .column-right-outer { display: none !important; }
