Analyzing Patient Stories on Social Media Using Text Analytics.

ABSTRACT: Patients can use social media to describe their healthcare experiences. Several social media platforms, such as the Care Opinion platform, host large volumes of patient stories. However, the large number of these stories and the healthcare system's workload make exploring these stories a difficult task for healthcare providers and administrators. This study uses text mining for analyzing patient stories on the Care Opinion platform and exploring healthcare experiences described in these stories. We collected 367,573 stories, which were posted between September 2005 and September 2019. Topic modeling (Latent Dirichlet Allocation) and sentiment analysis were used to analyze the stories. Sixteen topics were identified representing five aspects of the healthcare experience: communication betwe

SUBMITTER: Zakkar MA 

PROVIDER: S-EPMC8982729 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature