An emergency room nurse has a patient with the flu, whose respiratory rate is wavering and whose body temperature is escalating periodically. The nurse wants to accese a clinical data source that regularly and systematically collects, analyses, and interprets data on infectious diseases to research disease-prevention and control information related to the patient's condition.Which clinical data source will meet the nurse's needs?
Surveys
Vital records
Claims data
Surveillance
The Correct Answer is D
A. Surveys – Surveys may collect health-related data but are not typically focused on disease surveillance or providing real-time information on infectious diseases.
B. Vital records – Vital records track birth, death, and health events but are not regularly updated for active infectious disease surveillance.
C. Claims data – Claims data relate to insurance and billing, not specifically disease prevention or control.
D. Surveillance – Disease surveillance systems systematically track and interpret data on infectious diseases to aid in disease control and prevention.
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Correct Answer is A
Explanation
A. By evaluating technology and filling data gaps. – Nurses can contribute by identifying gaps in data that machine learning models need to improve accuracy, and by assessing technology to ensure it meets clinical needs and complements patient care.
B. By simply accessing and using information. – Access alone does not contribute significantly to machine learning; active data input and gap identification are more effective.
C. By studying statistics to understand the algorithms. – Studying algorithms helps understand machine learning but does not directly contribute to its function or data generation.
D. By gathering patient data. – While gathering data is helpful, without evaluating technology and addressing data gaps, it doesn’t fully contribute to machine learning model improvement.
Correct Answer is D
Explanation
A. Robotics – Robotics can assist in procedures and some clinical tasks, but they do not directly provide evidence-based data for assessments.
B. Artificial intelligence – AI could support radiologists by analyzing imaging data and assisting in interpretations, but AI alone may not provide the structured, evidence-based clinical guidance needed.
C. Evidence-based practice (EBP) – EBP provides structured approaches to applying clinical research to patient care. However, it doesn't directly deliver automated, real-time support to the new radiologists.
D. Clinical decision support – Clinical decision support (CDS) provides real-time guidance based on evidence-based data, assisting radiologists in making accurate assessments by offering relevant clinical information.