Nursing Process Supported by Expert System in the Application of the Glasgow and Braden Scales in a Brazilian Public Hospital

Abstract

The nursing process standardizes the way to assist and diagnose the patient and during its execution, support scales are used, such as the Glasgow and Braden scales, which aim to aggregate parameters in the clinical decision. To support the correct application of these scales, it is possible to use Artificial Intelligence (AI) techniques, such as Expert Systems (ES). The public hospital, the object of this study, did not have a computerized nursing process or an ES. In this way, the process was computerized, and an ES was used to assist in the application of the scales. The objective of this work, then, was to present the implementation, in a public hospital, of the nursing process supported by ES in the application of the Braden and Glasgow scales. The research methodology adopted was bibliographic, applied and experimental. The data collection and validation process of this study was obtained from interviews with nurses involved in the process and in the validation and approval of the SE knowledge base by specialists, both from the hospital and from those hired for external consultancy. With the application of the computerized nursing process, hospital care was standardized, normalizing the processes related to nursing and thus guaranteeing the nurses' assertiveness in the decision-making process. It is concluded that the implementation of the computerized nursing process supported by the ES supported decision making in the hospital.