Introduction:

Systematization of nursing care must be implemented, especially in the case that there is a more advanced level of patient care, such as in intensive care units, which are recognized places where great experience and technologies are concentrated.

Objective:

To propose a model of a decision support system using artificial neural networks for the elaboration of nursing diagnoses through an Android application.

Methods:

This study is characterized by being a type of methodological and technological prototype in which the vital signs of patients admitted to an intensive care unit will be analyzed. The data will be obtained from the database of Smart Monitoring of Intensive Care Parameters, which contains physiological signals and vital sign series captured from patient monitors, and which are obtained from hospital medical information systems of thousands of patients in intensive care units.

Results:

The application, in its final phase of implementation, is designed with active screens worked together by a body of nursing professionals who gave their opinion on the desired benefits and first impressions.

Conclusions:

At this time, tests are being carried out to train the artificial neural network, and an application is expected to be used for promoting nursing diagnoses based on the patient’s vital signs, general health evaluations, and information on the patient's electronic medical history, together with the clinical and critical judgment of the professional nurse.

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