A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases

Okuda, Masumi; Yasuda, Akira; Tsumoto, Shusaku

doi:10.1109/ichi.2016.53

Cited by 1 publication

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“…We conclude the paper with a brief discussion of our findings in Sect. 8 2. Related work: In this section, different ways of collecting textual data (Customer reviews) has been explored and also how scores are given on NLP Projects Analyzing Free-text comments: In [1], the author determines the topic from the customer textual reviews to know their context and also the author has implemented automatic topic classifiers and worked on finding the negativity of comments by using Sentiment analysis and for detailed topics, the author has determined the common topics within the negative comments.…”

Section: Introductionmentioning

confidence: 99%

Predicting HCAHPS scores from hospital reviews and social media pages

2020

rmc

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Nowadays, we can find any information related to any business firm or any facilities easily on the internet. But sometimes the available data is not in the required format and may need some processing. Once the processing of data is done it can be used for various purposes. Similarly, we can find many hospital websites on the internet and we can also read the reviews given by patients who had already visited that particular hospital. But this data is available in different forms and at different places. In this paper, we focus on the problem of predicting HCAHPS scores from hospital reviews and social media pages. Some existing examples of HCAHPS parameters include communication with doctors and nurses, the responsiveness of hospital staff, the quietness and cleanliness of the entire hospital environment, relevance of medicines, discharge information and overall rating of hospital. The data is first collected from different sources, which is then processed and applied to different algorithms. Proper prediction of the HCAHPS score of the hospital will help people to understand and go for better treatment.

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Section: Introductionmentioning

confidence: 99%

Predicting HCAHPS scores from hospital reviews and social media pages

2020

rmc

View full text Add to dashboard Cite

show abstract

A Data Mining Approach on the Structure of Patient Satisfaction in HCAHPS Databases

Cited by 1 publication

References 1 publication

Predicting HCAHPS scores from hospital reviews and social media pages

Predicting HCAHPS scores from hospital reviews and social media pages

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