Nowadays paper is still seen as the ultimate handheld device. It provides flexible ways to register any information but it lacks interactivity and real-time updating. Current health mobile applications do not replace paper, because they lack practicability.
In times of crisis like these, a cost-effectiveness analysis database for surgical procedures is the best tool to have. A number of clinical variables were defined to complement the cost-effectiveness analysis with one of first operation room expenditure’s database implemented in a public hospital. This study is based on the same cornerstone of the ACS-NSQIP program.
Acute kidney injury (AKI) is the generic term for an abrupt and sustained decrease in renal function, resulting in the retention of waste products. It is associated with high morbidity and mortality. An early accurate diagnosis is essential to improve the prognosis of this disease. The development of a model for predicting risk of AKI mixed with biomarkers (creatinine, cystatin C) and clinical data is a promising approach.
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