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Insights | Opinosis Analytics

Category: Insights

5 Insights From Text Analysis of Patient Comments

Patient satisfaction surveys give you valuable insights into service and safety related issues within your department. While some of these insights can be observed from the structured ratings, you get the full picture only by analyzing the free-text comments where patients provide a lot more detail on what they actually experienced. In this article, we describe 5 types of insights you can get from detailed Text Analysis of patient comments.

5 Benefits Of Our Text Analysis Services

#1 Our Insights are Ready for Prime Time We don’t just run tools on the data we work with. We are Text and Data analysis experts who carefully analyze your data with the right tools and techniques and summarize the results, so you can focus on the decision making based on insights we provide.  …
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Patient Comments – Professional Text Analysis – Request Service

<< Back to Main Page Start Listening To Your Patients with Professional Text Analysis Improve patient satisfaction . Increase self referrals . Prevent safety issues Fill out the form below to get in touch with us and we will get back to you shortly. Click here to learn how our service works

Get Meaningful Insights from Patient Comments – Professional Text Analysis Services

Contact: info@opinosis-analytics.com Professional Text Analysis of Patient Comments Do you know that free-text patient comments can give you valuable insights into safety & operational problems in your hospital and clinics? We are Text Analysis experts who leverage state-of-the-art Natural Language Processing (NLP) and Data Science methodologies to extract deep insights from volumes of free-text patient comments.…
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How we use Natural Language Processing for market research?

In order for companies to innovate, build new product lines and understand the effects of certain product groups and chemical interactions, manual analysis of scientific articles is typically needed. Manual research can be very time consuming and researchers have started turning to automated methods with Natural Language Processing (NLP) and Artificial Intelligence (A.I.) to help speed up their work.

How we surface customer complaints with text mining and analytics?

Feedback from customers trickles in from different sources including social sources (e.g. Twitter), customer surveys, user reviews and customer support conversations. All this data put together is a gold mine for understanding what customers REALLY want. Unfortunately, due to the complexity of such data, it is hard for organizations to gather insights about customers using that data…