{"id":341,"date":"2019-11-02T06:52:01","date_gmt":"2019-11-02T06:52:01","guid":{"rendered":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/?p=341"},"modified":"2019-11-02T06:52:01","modified_gmt":"2019-11-02T06:52:01","slug":"why-sentiment-analysis-major-game-changer-for-patient-care","status":"publish","type":"post","link":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/why-sentiment-analysis-major-game-changer-for-patient-care\/","title":{"rendered":"Why Sentiment Analysis is the major game changer for patient care"},"content":{"rendered":"

\t\t\t\tIn a competitive era, when every industry is trying to reach the pinnacle of success, the healthcare industry too is picking up the pace with enhanced and exceptional <\/span>Patient Experience<\/strong>.\u00a0<\/span><\/i><\/p>\n

Be it the hospitals, nursing homes, physician practices or healthcare systems, all are laying special emphasis on Patient Satisfaction. Period.<\/span><\/p>\n

Only healthcare facilities equipped with improved functionality and better convenience, providing whatever modern consumers look forward to, are emerging as the true leaders in the healthcare domain.\u00a0<\/span><\/p>\n

Since patients these days are far more particular than before and have ample options to choose from, it is imperative for healthcare services to be proactive in roping in and hanging on to patients.<\/span><\/p>\n

And Sentiment Analysis is one of the best ways to do it.\u00a0<\/i><\/strong><\/p>\n

To start of with Sentiment Analysis<\/b><\/h1>\n

Have you ever wondered what the feedback of your patients is once they leave your medical facility?\u00a0<\/span><\/p>\n

Enters, SPIN<\/strong><\/a> NuInsights Model<\/strong><\/a>, with its Sentiment Analysis<\/strong> Application that can gather authentic patient feedback and transform them into reports and intuitive charts to help you draw a conclusion where the medical services are lacking or pleasing.<\/span><\/p>\n

In tune with it, examining trends for different human emotions like sadness, anger, joy, disappointment, etc. by NuInsights<\/a> <\/strong>Sentiment Analysis Model enlightens a healthcare provider about the present status of patient care services and the areas of improvement.<\/span><\/p>\n

To cut the long story short, we want to endow healthcare providers with the tool and cutting-edge analytics (known as Sentiment Analysis application) that can nourish and boost their relationship with patients.<\/span><\/p>\n

So what is Patient Sentiment Analysis?<\/b><\/h3>\n

Simply put, the process of evaluating and analyzing feedback from the patient\u2019s experience (typically based on emotions at the time) is termed as Sentiment Analysis.<\/span><\/p>\n

Unraveling of opinions, emotions, and reactions of patients based on the practice they just experienced is one of the biggest Sentiment Analysis<\/strong><\/a> benefits.<\/span><\/p>\n

Add to it, such a form of analysis empowers healthcare caregivers with a competitive edge, revamping their service based on the feedback shared.<\/span><\/p>\n

Furthermore, SPIN\u2019s<\/strong><\/a> Sentiment Analysis Application can also be used to observe the texts or comments by patients and their overall experience in the facility, shared on Twitter<\/strong><\/a>, Facebook<\/strong><\/a>,LinkedIn<\/a><\/strong> and other popular online platforms.<\/span><\/p>\n

The Significance of Patient Sentiment Analysis for Healthcare firms<\/b><\/h3>\n

It enables caregivers to evaluate the genuine notion of patients for them, figure out the gaps in patient experience, and employ corrective measures on time.<\/span><\/p>\n

Here are a few pointers to support the above statement:<\/span><\/p>\n

1. Accumulating data on patient experience<\/b><\/h3>\n

Patient satisfaction is the key for healthcare organizations to prosper and Nu Insights\u2019<\/strong> Sentiment Analysis Application excels in it.\u00a0<\/span><\/p>\n

It analyzes the data accumulated from multiple common complaints or compliments, segment the data based on doctors and other parameters to spot the opportunities for patient care improvement.<\/span><\/p>\n

2\u00a0 Measuring performance\u00a0<\/b><\/h3>\n

Such analysis takes into consideration the emotions of patients to derive a conclusion about the performance of a medical facility.\u00a0<\/span><\/p>\n

Such analysis classifies patient comments into various categories like places, processes, people, etc., and then gives them scores to uncover what patients actually feel about the facility services.<\/span><\/p>\n

For instance, Nu Insights Sentiment Analysis model analyses the frequency of words used by the patients and selects only the most used words left in the comments.\u00a0<\/span><\/p>\n

Here are a few examples:<\/strong><\/h3>\n
    \n
  • We waited in the queue for a long time (Negative feedback)<\/span><\/li>\n
  • Good staff and less waiting time (Positive)<\/span><\/li>\n
  • Nice services but certain aspects need to improve(Neutral)<\/span><\/li>\n<\/ul>\n

    Based on the above such comments from patients, the Nu Insights Model determines whether the healthcare practice has any scope for improvement or it is going downhill.<\/span><\/p>\n

    Benefits<\/strong><\/h3>\n
      \n
    • Insights into the performance of a healthcare facility are one of the biggest benefits of Sentiment Analysis. The evaluation of collected data gives a clear picture of what patients actually expect from your practice, how are your employees seen, and other aspects of the management.<\/span><\/li>\n
    • Generating authentic and quantifiable data regarding the staff about their performance motivates employees to do better in the future. In case of negative comments, the gaps can be fulfilled by the staff. The bottom line is, as long as employees are motivated and get proper feedback for their hard work, patient care is bound to improve.<\/span><\/li>\n<\/ul>\n

      How Nu Insights Uses ML for Sentiment Analysis<\/b><\/h3>\n

      Nu Insights\u2019 Sentiment Analysis model can give you a clear idea of what patients are thinking about your practice by gathering feedback from various locations and using ML to analyze and use the data to make charts and reports.<\/span><\/p>\n

      Here is an example, how our Nu Insights\u2019 Sentiment Analysis model applies to healthcare business scenarios.<\/span><\/p>\n

      A leading hospital chain in the US witnessed declining patient satisfaction to a significant level and wanted to incorporate the latest ML and Analytics trends to comprehend what opinions patients had about the facility.\u00a0<\/span><\/p>\n

      In this regard, effectively using Advanced Analytics to understand the root cause of the issue and creating a mechanism to track the same in a bid to timely correct customer satisfaction was the primary approach of SPIN.<\/span><\/p>\n

      \u00a0Scenario<\/span><\/strong><\/p>\n

      With multiple facilities operating under the hospital chain, proper tracking and standardization of its operation became quite challenging and difficult. With an alarming fall of patient satisfaction leading to higher attrition, management decided to get to the bottom of the issue and address it.<\/span><\/p>\n

      Challenges<\/strong><\/span><\/p>\n

        \n
      • Removing unstructured data from different platforms<\/span><\/li>\n
      • Same comments on different platforms<\/span><\/li>\n
      • Determining fake reviews<\/span><\/li>\n<\/ul>\n

        Solution<\/strong><\/span><\/p>\n

        Patient comments and reviews shared across different platforms like social media, review forms, blogs hospital websites were accumulated and were filtered for clarity, authenticity, and relevance. Then these comments were subjected to NLP<\/strong> for further filtration.<\/span><\/p>\n

        Results<\/strong><\/span><\/p>\n

        The gaps that required quick attention were spotted and quick changes were applied in the operations, leading to enhanced customer satisfaction. Not only best practices for business were determined and standardized, the weekly tracking of the facility operations was also streamlined.<\/span><\/p>\n

        To improve healthcare, Sentiment Analysis is needed<\/b><\/h2>\n

        Patient satisfaction takes the front seat when it comes to measuring the achievement of your healthcare practice and is always the primary focal point of any marketing campaign.<\/span><\/p>\n

        For marketing campaigns to prosper and reap necessary results, physicians, health centers and healthcare facilities can use Sentiment Analysis to take their clinical services to the next level, by analyzing the exact expectation of patients.<\/span><\/p>\n

        At SPIN<\/strong>, our healthcare marketing strategies are integrated with programs that boost patient experience significantly.<\/span><\/p>\n

        After all, it is a satisfied patient eventually lead to an increase in revenue.<\/i><\/strong>\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"

        In a competitive era, when every industry is trying to reach the pinnacle of success, the healthcare industry too is<\/p>\n","protected":false},"author":1,"featured_media":539,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,3,6,8],"tags":[9,81,82,99,101,103,112,113],"class_list":["post-341","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-big-data","category-data-analytics","category-predictive-analytics","tag-advanced-analytics","tag-health-care","tag-healthcare-systems","tag-patient-care-hospital","tag-patient-satisfaction","tag-predictive-analytics","tag-sentiment-analysis","tag-sentiment-analysis-benefits"],"_links":{"self":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/341","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/comments?post=341"}],"version-history":[{"count":0,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/posts\/341\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media\/539"}],"wp:attachment":[{"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/media?parent=341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/categories?post=341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.spinanalyticsandstrategy.com\/blog\/wp-json\/wp\/v2\/tags?post=341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}