Patient Experience Analytics for Hospitals & Doctor’s Offices

2. Patient Experience Analytics for Hospitals & Doctor’s Offices

3. Overview Patient experience in healthcare should be the main focus of any healthcare provider, whether it is a hospital chain, private medical practice, pharmacy, or a lab. Thankfully, medical practices can keep a close eye on customer satisfaction with the help of AI-driven machine learning platforms that can analyze patient experience data to give valuable information. This article details how healthcare organizations can use patient experience analytics to improve operations, and as a result, increase growth and revenues.

4. What Is Patient Experience Analytics? Patient experience (PX) analytics is the computational analysis of patient satisfaction or sentiment data, which is based on the range of interactions patients and caregivers have had with a healthcare provider. Sentiment analysis of patient experience in healthcare provides important insights that hospitals and doctor’s offices can harness to make improvements in their operations. This results in increased customer satisfaction that is driven by data-backed strategies for a better patient experience. Machine learning (ML) platforms can analyze patient experience reviews from a variety of sources, such as Google Reviews, patient forums, social media channels such as Twitter or Facebook, as well as surveys. AI-based platforms use ML tasks such as natural language processing (NLP), semantic clustering, sentiment analysis, and others to extract accurate information from sources of patient voice.

5. How Does Sentiment Analysis Improve Patient Experience In Healthcare? An AI-enabled sentiment analysis API processes patient satisfaction data and brings to notice certain issues and challenges that hospitals may not be aware of but which can greatly affect patient satisfaction. Through NLP in Healthcare, you can analyze and extract key information from patient reviews, automatically and with precision, and use it to improve business processes. An in-depth analysis of patient opinions in comments and reviews can help you strategize the following - • 1. Drive patient satisfaction • 2. Build trust • 3. Improve operations • 4. Expand healthcare offerings • 5. Monitor brand reputation

6. How Can You Capture Patient Sentiment? To get a rich view of patient experience performance at your medical center, you need to conduct sentiment analysis on a large set of patient satisfaction data. You can capture this data via the following sources. 1. Social media 2. Google Reviews 3. Surveys 4. Patient Forums 5. Healthcare/doctor review websites

7. Conclusion Repustate’s patient experience analytics solution, Repustate IQ, gives you the most in-depth sentiment analysis insights from your patient experience data. The platform is highly customizable so as to fit your requirements in the best possible manner. Once the model is trained, it becomes smarter every time it analyzes data and offers insights at speed and scale. Repustate IQ analyzes 23 languages natively through individual speech taggers, which leads to highly accurate insights. This means, wherever your location may be, or whichever language your patients prefer to use for their comments and reviews, Repustate’s solution gives you intelligent results every single time. Improve your patient experience in healthcare with Repustate’s advanced machine learning PX analytics platform.

8. Thank you! Understand your data, customers, & employees with 12X the speed and accuracy. Visit: www.repustate.com to learn more