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 C
Explanation
A. A smartphone-connected rhythm monitoring device. – Rhythm monitoring devices focus on cardiac rhythms and do not collect comprehensive gut data.
B. A wearable sensor. – Wearable sensors typically monitor external metrics (like heart rate, steps) rather than internal metrics such as gut contents.
C. An ingestible sensor. – Ingestible sensors are designed to collect data on internal conditions, such as gut contents, and can communicate this information to smartphones for both patient and physician access.
D. A lab-on-a-chip. – Lab-on-a-chip technology typically involves small laboratory functions on a microchip but is not necessarily designed for continuous monitoring in the body.