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The CPHQ Certification is a mark of professional achievement and demonstrates the expertise of healthcare quality professionals. Certified Professional in Healthcare Quality Examination certification is highly valued in the healthcare industry and can open doors to career advancement opportunities. CPHQ-certified professionals are equipped with the knowledge and skills necessary to improve the quality of care in healthcare organizations and enhance patient safety. Certified Professional in Healthcare Quality Examination certification also provides a framework for continuous learning and development, ensuring that healthcare quality professionals stay up-to-date with the latest trends and best practices in the industry.
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NEW QUESTION # 191
An organization recently lost its deemed status due to non-compliance with grievance process regulations.
Which of the following standards would the quality professional research to identify grievance process requirements to correct the cited opportunities for improvement?
Answer: C
Explanation:
Detailed Explanation:
The Centers for Medicare and Medicaid Services (CMS) set regulatory requirements for grievance processes that healthcare organizations must follow to maintain compliance and deemed status.
Option B: Centers for Medicare and Medicaid Services
CMS establishes federal requirements that healthcare providers must meet, including those related to patient grievance processes.
References:
CPHQ resources indicate that CMS standards must be adhered to for organizations to maintain their deemed status, as they are the primary authority on grievance processes for Medicare/Medicaid compliance.
NEW QUESTION # 192
When implementing a new process or procedure, which of the following tools should be used to anticipate and prevent potential problems?
Answer: C
Explanation:
Failure Mode and Effects Analysis (FMEA) is a proactive tool used to identify potential failure points in a new process and assess their impact. By analyzing possible failures before implementation, organizations can develop strategies to mitigate risks and enhance patient safety.
Reference:Institute for Healthcare Improvement (IHI)Institute for Healthcare Improvement
NEW QUESTION # 193
The focus for performance Improvement should be
Answer: C
Explanation:
The focus of performance improvement in healthcare is often on the systems rather than the individual1. This approach is part of continuous quality improvement (CQI), which emphasizes the organization and its systems1. It promotes the need for objective data to analyze and improve processes1. The ultimate aim of performance improvement in healthcare is to optimize healthcare delivery by focusing on patient care outcomes, client safety, efficiency, costreduction, and minimizing risks and liability2. Therefore, the answer is B: systems. This is because improving systems can lead to better outcomes, increased safety, and more efficient and cost-effective healthcare delivery2.
NEW QUESTION # 194
An organization has compiled the scatter plots below:
Based on these plots, which of the following conclusions can be made by the quality professional?
Answer: B
Explanation:
A scatter plot is a graphical tool that shows the relationship between two continuous variables by plotting data points at their corresponding values on the x-axis and y-axis1.
To interpret a scatter plot, we need to look at the direction, strength, and shape of the relationship between the variables2.
The direction of the relationship indicates whether the variables tend to increase or decrease together (positive correlation) or in opposite directions (negative correlation).
The strength of the relationship indicates how closely the data points cluster around a line or curve that best fits the data. A common measure of the strength of the linear relationship is the correlation coefficient , which ranges from -1 to 1. The closer the absolute value of R is to 1, the stronger the linear relationship2.
The shape of the relationship indicates whether the data points follow a straight line (linear relationship) or a curved pattern (nonlinear relationship).
Based on these criteria, we can analyze the scatter plots for Setting 1 and Setting 2 as follows: Setting 1:
The scatter plot shows a clear upward trend, indicating a positive correlation between complication rate and time to positive outcome. The data points are tightly clustered around a line, indicating a strong linear relationship. The R
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