Problem:
When asked about the essence of nursing data, Copilot defined it as "data that encompasses critical information that nurses collect, manage, and utilize to provide safe and effective patient care" (OpenAI, 2024). Nursing data comprises a wide range of information that nurses collect through patient assessments, comprising subjective and objective patient data. The subjective data comes from the patient's description and perceptions of their health condition, such as the patient's pain perception, descriptions of symptoms, and personal health history. The objective data is the data the nurses collect through observations, physical assessment, vital signs, and other measurable data (Mykkänen, 2022; Warnecke, 2023). That information is used by nurses, providers, and other healthcare members to provide the correct or proper treatment to their patients and improve the quality of patient care delivery and safety. In addition, nursing data is used to collect data for research and contributes to evidence-based practice. Nursing data is crucial to ensuring that a patient gets prescribed the proper treatment and plan of care. Thus, nursing data not only forms the backbone of healthcare decision-making but also underscores the crucial role of healthcare professionals in patient care. Why Should Nursing Data be Integrated into Big Data?