Clinical decision support systems (CDSS) provide clinical decision-making assistance to healthcare providers. There are two main types: knowledge-based systems apply rules to patient data using an inference engine, while non-knowledge-based systems rely on machine learning to analyze clinical data. CDSS can help predict events, review diagnoses, and improve outcomes, but challenges include integrating them into existing clinical workflows. High-fidelity patient simulation is becoming essential in nursing education and allows students to practice clinical skills in a safe environment. There is increasing demand for nurses in health informatics roles related to clinical expertise, system design, change management, and research, though these positions are not always filled by nurses.