La Fe and the UJI rewrite medical discharge reports using Artificial Intelligence so that patients can understand them better



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## La Fe and the UJI rewrite medical discharge reports using Artificial Intelligence so that patients can understand them better

03/11/2023 |
SCP

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Texts rewritten using chatbots are between 15% and 50% more understandable.

The Angiology and Vascular Surgery service at La Fe University and Polytechnic Hospital in Valencia and the Department of European Languages and Cultures at Universitat Jaume I of Castelló are testing the application of computational language techniques using artificial intelligence to translate anonymised medical discharge reports into language that patients find easier to understand.

The initiative, which is currently being tested, aims to give people a better understanding of their state of health, as well as the medical guidelines and drug treatments they need to follow when they leave hospital and return home, regardless of their education or knowledge of the subject.

The project began last year with the identification of the elements that needed to be adapted to the patient's language and the writing of the appropriate instructions so that a chatbot can rewrite the texts. Specifically, the focus is on avoiding overly technical jargon or abbreviations and acronyms and on selecting the information that is really important for each patient.

The names of medicines are also accompanied by a succinct explanation of what they are used for. Clear, concise, short sentences are prioritised in all writing. The final step consists of a quick review by the healthcare professional to check the information.

So far, 50 reports have been “translated” into everyday language. The rewritten texts have been analysed with different linguistic formulas that measure whether they are easy or difficult to understand. Preliminary results indicate that the new versions of chatbots, based on computational linguistics techniques such as Natural Language Processing, can adapt complex medical language to a level that can be understood by all patients.

The result is in line with the desire to humanise medicine and empower patients that characterises La Fe University and Polytechnic Hospital. “It is crucial that people can understand the information so they can make decisions about their health,” says the head of the Angiology and Vascular Surgery department at La Fe, Dr Manuel Miralles.

Adéla Kotatkova, a lecturer in the Department of European Languages and Cultures at the Universitat Jaume I in Castelló, quantifies the improvement. “The metalinguistic analysis indicates that the comprehension index for the rewritten discharge reports increases by between 15 and 50 per cent.” In addition, Dr Miralles says that “a well-informed person usually follows their doctor's recommendations more and better, and does not look for information on their own in unofficial sources that can also be misinterpreted”.

The working group is now looking to compare the results obtained from the linguistic algorithms with analyses carried out by groups of users with non-specific linguistic or medical training, extend the project to other co-official languages, expand the initial number of 50 reports to 200 to increase the representativeness of the sample, and apply the computational linguistics techniques developed for vascular surgery to other medical specialist areas.

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