A patient would like to be informed about their appointments in advance for logistical purposes. What is the most efficient solution?
Utilize mobile texting to communicate information about appointments.
Utilize traditional phone calls to schedule appointments.
Utilize emails to communicate information about appointments.
Show the patient how to use their patient portal to schedule and check for appointments.
The Correct Answer is A
A. Utilize mobile texting to communicate information about appointments. – Mobile texting is a quick and effective method to communicate appointment details, allowing patients to receive reminders directly on their phones.
B. Utilize traditional phone calls to schedule appointments. – While phone calls can be effective, they are less efficient for reminders compared to texting or electronic communications, which can be sent in bulk.
C. Utilize emails to communicate information about appointments. – Email is a valid option, but it may not be checked as frequently as text messages, making it less immediate for some patients.
D. Show the patient how to use their patient portal to schedule and check for appointments. – While the patient portal is a useful tool, it requires the patient to actively log in and may not provide timely reminders like texting would.
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Correct Answer is C
Explanation
A. It compiles medical information regarding patients by utilizing various sources into one searchable area – This is incorrect, as Wikipedia does not compile patient-specific information. It is a general knowledge platform.
B. It requires a subscription fee to access – This is incorrect; Wikipedia is a free resource.
C. It is not a reliable information source – Wikipedia is not considered a reliable medical source due to potential inaccuracies and the ability for unverified users to edit content.
D. It uses a healthcare-specific browser to narrow search results – This is incorrect, as Wikipedia does not have a healthcare-specific search browser.
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.