{"id":12690,"date":"2014-01-01T00:00:00","date_gmt":"2014-01-01T00:00:00","guid":{"rendered":"http:\/\/www.pharma-mkting.com\/uncategorized\/show176\/"},"modified":"2014-01-01T00:00:00","modified_gmt":"2014-01-01T00:00:00","slug":"show176","status":"publish","type":"post","link":"http:\/\/ec2-54-175-84-28.compute-1.amazonaws.com\/pharma-mkting.com\/talk\/show176\/","title":{"rendered":"Real Time Patient Intelligence: Gaining Actionable Meaning from Social Media “Big Data”"},"content":{"rendered":"

Real Time Patient Intelligence Gaining Actionable Meaning from Social Media “Big Data”Click Here for Additional Resources<\/a><\/p>\n

This podcast with Gideon Mantel<\/b>, co-founder and CEO of Treato (see Bio<\/a>), discusses how a combination of deep healthcare domain expertise, advanced Natural Language Processing algorithms and “Big Data” infrastructure can combine to extract actionable meaning from the disparate patient voices across the Web. <\/p>\n

Aired LIVE on: Tuesday, October 9, 2012<\/b><\/p>\n Listen to internet radio<\/a> with Pharmaguy<\/a> on Blog Talk Radio<\/p>\n

You also can visit this Pharma Marketing Talk Segment Page<\/b><\/a> to listen to the audio podcast. This show and ALL Pharma Marketing Talk shows are available as podcasts via PMT on iTunes<\/b><\/a> (FREE!). <\/p>\nBackground<\/b><\/p>\n

\"BigOnce a pharmaceutical company starts tweeting and opening a Facebook page, the race is on to measure the results and prove that the social media campaigns are a success. But social media is about so much more than retweets and mentions. Beyond using social media as simply another channel to spread the pharma message, one should consider that online forums and blogs are where patients and their families are sharing their feelings about medical conditions and medications. When gathered and analyzed, these spontaneous outpourings on the Web can generate valuable and actionable insights for pharmaceutical marketers. Patient intelligence that — in the past — required large chunks of budget and time to run surveys or focus groups can today be complemented with real-time wisdom drawn directly from patient discussions online. <\/p>\n

However, healthcare discussions are complex; simple social media listening tools fall short in analyzing the intricate relationships between conditions, medications, side effects, and drug switching. This podcast with Gideon Mantel, co-founder and CEO of Treato, will discuss how a combination of deep healthcare domain expertise, advanced Natural Language Processing algorithms and “Big Data” infrastructure can combine to extract actionable meaning from the disparate voices across the Web. <\/p>\nQuestions\/Topics Discussed<\/b> <\/p>\n