ABSTRACT Background The Medical Information Mart for Intensive Care‐IV (MIMIC‐IV) clinical database has become a central resource for data‐driven critical care research, enabling advances in clinical informatics, machine learning and nursing science. Despite its rapid uptake, no prior study has provided a transparent, methodologically grounded, bibliometrics‐based overview of MIMIC‐IV‐related research output. Aim This paper aims to map the major research themes associated with the MIMIC‐IV database (2021–2024) and to evaluate their relevance to critical care nursing research and practice. Study Design A study of 1150 publications retrieved from the Web of Science Core Collection (SCI‐Expanded). Explicit search strategies, front‐page filtering and publication counts were used to identify and analyse keyword‐based research themes. Results Keyword analyses identified mortality prediction, sepsis, acute kidney injury, intensive care workflows and machine learning as dominant research areas, many of which are directly relevant to nursing‐sensitive outcomes and bedside clinical decision‐making. Conclusions This review provides the first focused mapping of research themes within MIMIC‐IV publications. These findings clarify the thematic landscape of current MIMIC‐IV‐based research and underscore topics of particular importance to critical care nursing. Relevance to Clinical Practice MIMIC‐IV supports the generation of evidence on essential nursing concerns. Recognising global research patterns enables nurses, clinicians and informatics teams to identify emerging tools, prioritise data‐driven competencies and translate large‐scale analytics into improved ICU care and patient outcomes.
Ho et al. (Thu,) studied this question.