Western View Hospital is launching a new electronic health record system. Until now, the hospital kept hard copies of all health records. Since this transition to an electronic format would impact many areas of the hospital, the facility has decided to assign tasks to each department for evaluating how to most effectively transition to adoption of the new electronic system.Which quality improvement tool should the hospital use to approach launching the new electronic record system?
Responsible, Accountable, Consulted, and informed (RACI) Checklist
Workflow analysis
Gantt chart
Fishbone diagram
The Correct Answer is A
A. Responsible, Accountable, Consulted, and Informed (RACI) Checklist – The RACI Checklist clarifies responsibilities, making it ideal for assigning and tracking tasks among departments during complex projects like EHR implementation.
B. Workflow analysis – Workflow analysis is useful for understanding and improving processes but does not specifically assign responsibilities in the transition process.
C. Gantt chart – A Gantt chart helps schedule project timelines but doesn’t clarify the specific roles and responsibilities of each team or department.
D. Fishbone diagram – Fishbone diagrams identify potential causes of a problem, not the assignment of responsibilities in a transition plan.
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Correct Answer is D
Explanation
A. Quality-assurance. – This system evaluates performance and compliance but does not manage the direct entry of patient data into the EHR.
B. Computerized provider order entry. – This system allows providers to enter orders for tests and medications but is not primarily for uploading vital signs or laboratory results.
C. Results-reporting. – This system focuses on reporting laboratory results but does not handle the initial entry of vitals and results into the EHR.
D. Electronic documentation. – This system is designed for entering and managing patient data, including vital signs and laboratory results, directly into the EHR.
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.