A skilled nursing facility hospital utilizes paper and pen when nurses chart patient records. The nurses who work at this facility have brought to the administration's attention the problems that regularly occur when patient information is transferred to different locations, whether between floors or organizations. The nurses have also elaborated on the potential for paper charts to be susceptible to damage, less, or the Which health information technology tool should the facility adopt to address the nurses' concerns?
Artificial intelligence
An electronic health record
Evidence-based practice (EBP)
Robotics
The Correct Answer is B
A. Artificial intelligence – AI can analyze data but does not resolve issues related to the storage, transfer, and protection of patient records.
B. An electronic health record – An electronic health record (EHR) system centralizes patient data, making it accessible across different departments or locations and less prone to physical damage or loss.
C. Evidence-based practice (EBP) – EBP provides a framework for clinical decisions but does not offer a solution for data storage and accessibility.
D. Robotics – Robotics might assist with certain physical tasks, but they do not offer a method for electronic data management and accessibility.
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Correct Answer is D
Explanation
A. Robotics – Robotics are used for physical tasks and do not support data sharing across departments.
B. Artificial intelligence – AI can help with data processing and analysis, but it doesn’t directly enable information sharing across departments.
C. Evidence-based practice (EBP) – EBP guides patient care based on research but does not provide a system for data sharing.
D. Electronic medical record – Electronic medical records (EMRs) are designed to allow multiple departments access to patient information, reducing the need for physical record retrieval.
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.