Revolutionizing healthcare conversational data with Drug-GPT and Socialgist

In a digital era where countless conversations unfold online every minute, deciphering the intricate network of dialogues within the healthcare domain has become essential, especially for Healthcare Marketing Strategists. Our exploration this week highlights how Drug-GPT’s synergy with Socialgist is set to revolutionize Strategists’ approach to harnessing Healthcare Conversational Data. This blog takes a look at how Advanced Data Science and Artificial Intelligence through Drug-GPT can be used to curate and analyze the vast array of publicly available social conversations. 

The Challenge of Scale 

Online conversations, spanning various platforms and languages, create a complex network of global communication that is both beneficial and overwhelming. The sheer volume of data can be daunting: millions of tweets, blog posts, reviews, and comments generated daily. Reddit, for example, has logged 550 million conversations for 2024 with the growth projection forecasting 682 million conversations by 2026.  Each piece of data offers insights into public opinion, emerging trends, and Patient behavior. However, efficiently extracting accurate information from these large datasets can be challenging. Together, Socialgist and Drug-GPT streamline this process. 

Tern plc (LON:TERN) backs exciting, high growth IoT innovators in Europe. They provide support and create a genuinely collaborative environment for talented, well-motivated teams. The Talking Medicines mission is to be the World’s Gold Standard for Patient Intelligence by Medicine.

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