Navegando por Palavras-chave "Clinical Decision Support System"

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    Análise de sistema de suporte à decisão clínica em quedas e úlcera por pressão no ambiente hospitalar
    (Universidade Federal de São Paulo (UNIFESP), 2019-12-19) Santoro, Ricardo Da Silva [UNIFESP]; Marin, Heimar De Fatima [UNIFESP]; http://lattes.cnpq.br/5458785300394469; http://lattes.cnpq.br/9683155818988733; Universidade Federal de São Paulo (UNIFESP)
    Introduction: Healthcare costs have increased rapidly in all countries. This trend tends to worsen with the aging of the population which will demand more complex care and for a longer period, that due both scientific and technological evolution. In line with today's challenges, clinical computing can be defined as the study and use of data and healthcare information technology to improve performance and ability to maintain quality in healthcare. Methods: This is an experimental study with allocation of a known population of individuals (inpatients). Data were collected from both Adverse Event Management System and Electronic Health Records System. Data were collected from a 24-month period with a total sample of 106,658 patient records. Results: The use of the decision support system evaluated in this study has contributed to reduce cases of adverse events related to pressure ulcer developed in the inpatient unit. There was a 16.2% reduction in total cases, reduction of 42.9% in cases of Pressure Ulcer developed in the inpatient unit by patients over 60 years old and reduction of 46.5% in cases of complex lesions (stages 3, 4 and deep tissue injury) developed by patients over 60 years old. No contributions from the decision support system to reduce cases of fall-related adverse events were identified. Discussion: The study shows that the fact that activating decision support systems and providing this support in the form of alerts or protocol suggestions does not mean that positive results will be obtained. It is necessary to adopt change management methodologies, validations of interfaces with professionals who know the workflows and attention to data quality so that the information generated is reliable. Conclusions: This study demonstrated that integrated decision support systems, considering the large amount of data inside Electronic Health Record systems, can add important contribution to healthcare services for inpatients.