Narrative Review

Patient Referral to Palliative Care Using Artificial Intelligence Prediction Models

Main Article Content

Abel Abejas
Mariana Paulino Ferreira de Castro
Keywords:
Artificial Intelligence, Decision Support Systems, Clinical, Machine Learning, Palliative Care, Terminal Care

Abstract

The advent of Artificial Intelligence has brought about the possibility to archive and process vast amounts of information, particularly in the field of health, which is both extensive and complex. Palliative Care aims to provide support to patients with serious illnesses, seeking to alleviate symptoms, improve the quality of life, and address the emotional and psychological needs of patients and their families. Artificial Intelligence has the potential to revolutionize the timely identification and referral of patients who would benefit from Palliative Care, enabling timely discussions with them and their families about end-of-life expectations and perspectives.


Early access to Palliative Care has numerous benefits, including emotional well-being, improved coping mechanisms, cost reduction in treatment, along with fewer and shorter hospitalizations. Through this narrative review, we aim to understand whether the concurrent use of Artificial Intelligence models effectively benefits the patient by enhancing their quality of life.

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Narrative Review

References

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