I first approached Tom and Audun about working together with the hopes of highlighting various patient communities, validating efforts of patient community collaboration, and using data to support the narrative that the patient voice is unique, and must be respected. What evolved from those initial talks was the idea of building a community around data. Specifically, starting a new conversation with the online patient community about the data they are generating every day, every hour, and exploring how they might be able to use that data themselves.
As you’ve hopefully seen, I’ve already started exploring the first part of that mission – looking at new year’s conversations, World Diabetes Day, and the impact and influence of #hcsm. There are plenty of topics to investigate, and I look forward to sharing what I discover with all of you.
But the second part of my mission, exploring how the patient community can use data collected by Symplur, hasn’t been publicly discussed – until now.
Traditionally access to Signals has been limited to large academic institutions who are interested in conducting formal research projects, very large healthcare systems, multinational healthcare industry related agencies, and government offices. Starting today, that list expands to include access to the online patient community.
Symplur has created an access model designed specifically for the patient community. Who are your community’s biggest influencers? Which tweet chat topics have generated the most conversation? What are other patient communities saying about similar topics? What else are your communities talking about beyond the typical and assumed topics of conversation? These are a mere introduction into the types of questions you will be able to answer.
In addition to the mountains of data you’ll have access to, Symplur has created a Knowledge Base and forum community to help answer any questions you have to help you along your journey. The best way to build a community around data is to enable that community to learn from us, and each other. It is my hope that the tools Symplur provides will start new conversations about the strength, prevalence, and impact of online conversations among the patient community.
To learn more about how your patient community can take advantage of Symplur Signals, please fill out this short form, and I’ll be in touch.
What do you get when you combine the world's largest database of social healthcare conversations with the world's largest database of healthcare influencers and power it all by machine learning?
The most fun and effortless path to understanding healthcare social media.
Symplur Signals is used by pharma, medical device companies, governments and research institutions.