Computer tool for the modeling of diagnostic and treatment processes of patients affected by hyponatremia.
Hyponatremia is the most frequent electrolyte disorder and is defined by a blood sodium level of less than 135 mmol / l. It affects 19-30% of hospitalized patients and more than 7% of those over 55 years. Its appearance in hospitalized patients is usually associated with increased morbidity and mortality during hospital stay or after discharge. Despite its high prevalence, it is an under-diagnosed pathology.
The objective of our contribution is, therefore, to promote an innovative model for the application of clinical practice guidelines for hyponatremia, through an intelligent information system, based on knowledge, to help professionals make clinical decisions (Knowledge -Based Clinical Decision Support Systems or KB-CDSS).