Keywords
Health technology
Patient safety
Clinical decision support
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Abstract
Objective: To analyze the scientific evidence on digital technologies developed for monitoring the Modified Early Warning Score (MEWS) and their contribution to nursing clinical decision-making. Methods: An integrative literature review was conducted following six methodological stages. Searches were performed in the PubMed/MEDLINE, Scopus, Web of Science, SciELO, LILACS, and BDENF databases using controlled and uncontrolled descriptors related to MEWS, nursing, early warning systems, and digital technologies. Original articles published between 2010 and 2025 in Portuguese, English, and Spanish were included. Study selection followed the PRISMA 2020 recommendations, and the methodological quality of the included studies was critically appraised. Results: The evidence indicates that these tools contribute to reducing calculation errors, improving the early identification of clinical deterioration, increasing adherence to institutional protocols, and strengthening patient safety. Final considerations: Digital technologies represent an important strategy for optimizing MEWS monitoring, enhancing the quality of nursing care, and supporting early interventions in response to clinical deterioration. However, further studies are needed to evaluate their effectiveness across different healthcare settings and their integration into routine clinical practice.
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