Sentiment Analysis In Healthcare

With multitudes of information shared on social media websites like Twitter, Facebook etc and discussions about company offerings on blogs, forums and posts; companies want to extract every bit of the information available to analyze consumer sentiments about their offerings. Companies from different domains are trying to use the customer sentiment information to gain a competitive edge in business. Below are some common industries that use sentiment analysis. Examples of companies within the domain are also mentioned to know the current users of Sentiment analysis.

Healthcare: Sentiment analysis has wide-scale applications in the Healthcare industry. Many patients use internet to post their patient experience in provider facilities. This unbiased feedback from patients is critical for healthcare practices to improve the quality of care. It is not possible for the patient to keep going back to the facility to report post intervention feedback. Extracting patient sentiments from unstructured data in blogs, twitter, Facebook posts help hospitals realize important performance factors like patient satisfaction, staff friendliness, procedure efficiency. Patients also share information regarding their payer experience on the internet. Tweets, posts about insurance benefits, timely service are critical information to the payers to improve their existing services. 94% patients believe hospital’s brand name is important in making a selection. By understanding patient sentiments and taking appropriate action to translate negative feedback into improved care can help a hospital improve its brand image.

WebMD is a health information service that provides regular health related advice and suggestions to its users. WebMD is collaborating with T...

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...y, Friendliness of staff, Quality of food etc. [5]Starbucks uses a NLP platform to track its mentions on the web to monitor its brand presence and beverage popularity.

There are many other industries where sentiment analysis does have a huge potential business value. IBM came up with an analysis where they used Twitter data to understand how the world feels about the World Series in baseball. These findings can’t predict if the team will win or not, but it can open doors to new ways of thinking about fans interest players to be signed and other preferences.

Conclusion

Personalization and consumer feedback has reached an all new level with companies employing Sentiment analysis. Now that we have spoken about all these companies using Sentiment analysis, start tweeting, Facebooking, blogging as hard as you can. Your post might just be the game changer in the industry.