May 25, 2021 - Using a dataset of electronic health records along with survey results, machine learning algorithms utilized artificial intelligence to communicate patient satisfaction improvement recommendations, according to a recent study published in the Institute of Electrical and Electronics Engineers’ Journal of Biomedical and Health Informatics, in partnership with Geisinger.

“Patient health care is like a journey. They need to interact with multiple health professionals across different service units throughout the entire length of stay,” said Ning Liu, the study’s lead author, in a press release.

“It’s important for providers to understand the needs of each patient group, like those receiving surgery, cancer treatments or emergency visits. We wanted to know what is most important for each group, and how do we interpret that from the data we receive?”

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Researchers applied machine learning algorithms to a comprehensive dataset of electronic health records and survey results, converting the data into information that artificial intelligence could then turn into recommendations.

https://healthitanalytics.com/news/artificial-intelligence-program-boosts-patient-satisfaction