Healthcare Statistics and Analytics Flashcards
7 cards from real RHIT practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Healthcare Statistics and Analytics flashcards as text
A hospital's case mix index (CMI) increased from 1.45 to 1.62 over one year. What is the most likely implication?
Answer: The hospital is treating more complex patients, leading to higher expected reimbursement
A rising CMI indicates the hospital is treating more resource-intensive patients, which typically results in higher MS-DRG reimbursement.
Which type of chart is most commonly used in statistical process control (SPC) to monitor whether a healthcare process is in control over time?
Answer: Control chart
Control charts plot process data over time with upper and lower control limits to determine if a process is stable and in control.
An RHIT notices that the same patient's blood pressure is recorded as 120/80 mmHg in one system and 12/80 mmHg in another due to a data entry error. Which data quality dimension is compromised?
Answer: Accuracy
Accuracy is compromised when data does not correctly represent the true value, as with the incorrect systolic reading.
In epidemiology, the attack rate is BEST described as:
Answer: The proportion of exposed individuals who develop the disease during an outbreak
The attack rate measures the proportion of exposed individuals who develop the disease, typically used in outbreak investigations.
A hospital uses a dashboard to display key performance indicators (KPIs). Which of the following is the BEST example of an outcome measure?
Answer: Percentage of patients who developed a hospital-acquired pressure injury
Hospital-acquired pressure injury rate is an outcome measure because it reflects the result of care provided to patients.
What does the term 'incidence rate' measure in healthcare statistics?
Answer: The number of new cases of a disease occurring in a population over a specific period
Incidence rate measures the number of NEW cases of a disease arising in a defined population over a specified time period.
When a healthcare analyst uses regression analysis to predict patient length of stay, what is the dependent variable?
Answer: Length of stay
In regression analysis, the dependent variable is the outcome being predicted — in this case, length of stay.