Medical Billing Software Research & Evidence-Based Practice 4 — Questions and Answers
Question 1: A billing team wants to use data to reduce claim denials. Which evidence-based approach should they start with?
- Immediately purchase new software without analyzing current denial patterns
- Conduct a root cause analysis of denial data to identify the most frequent denial reasons (Correct answer)
- Randomly reassign billing staff to different payers
- Submit all denied claims to collections without appeal
Correct answer: Conduct a root cause analysis of denial data to identify the most frequent denial reasons
Root cause analysis of denial data provides evidence of the specific, highest-impact problem areas to address before implementing solutions.
Question 2: What does 'number needed to treat' (NNT) measure, and how could it apply to billing software interventions?
- The number of patients billed per treatment episode
- The number of organizations that need to adopt an intervention for one to experience the target outcome (Correct answer)
- The number of billing staff needed per 1,000 claims
- The number of treatments covered per insurance plan
Correct answer: The number of organizations that need to adopt an intervention for one to experience the target outcome
NNT is an evidence-based measure of how many units (here, organizations) must receive an intervention for one to benefit, helping assess practical significance.
Question 3: Which of the following is an example of applying evidence-based practice to medical billing software selection?
- Choosing software based on the sales representative's personality
- Reviewing peer-reviewed implementation studies and soliciting references from similar organizations (Correct answer)
- Selecting the least expensive option available
- Choosing whichever software your largest competitor uses
Correct answer: Reviewing peer-reviewed implementation studies and soliciting references from similar organizations
Evidence-based software selection involves reviewing published research and gathering experiential evidence from comparable organizations to inform the decision.
Question 4: In a cohort study examining billing software outcomes, what distinguishes an 'exposed' group from an 'unexposed' group?
- Whether billing staff have received HIPAA training
- Whether the group uses the billing software intervention being studied (Correct answer)
- Whether the organization accepts Medicare patients
- Whether payers have audited the organization
Correct answer: Whether the group uses the billing software intervention being studied
In cohort studies, the exposed group uses the intervention (e.g., new software) while the unexposed group serves as the comparison, allowing outcome differences to be assessed.
Question 5: When a billing director says a new software feature shows 'statistical significance,' what does this mean?
- The feature is important enough to be added to the software menu
- The observed difference is unlikely to be due to chance, based on a p-value threshold (Correct answer)
- The feature passed internal quality control testing
- More than 50% of users reported liking the feature
Correct answer: The observed difference is unlikely to be due to chance, based on a p-value threshold
Statistical significance (typically p<0.05) means the probability that the observed result occurred by chance is below the accepted threshold, not that the effect is clinically meaningful.
Question 6: Which organization publishes evidence-based guidelines relevant to revenue cycle management that billing professionals should consult?
- The National Football League (NFL)
- The Healthcare Financial Management Association (HFMA) (Correct answer)
- The American Automobile Association (AAA)
- The Federal Aviation Administration (FAA)
Correct answer: The Healthcare Financial Management Association (HFMA)
HFMA publishes evidence-based best practices, benchmarks, and guidance documents specifically for healthcare financial and revenue cycle professionals.
Question 7: A billing analyst wants to determine if a workflow change is sustainable over time. Which research design is best suited to track outcomes longitudinally?
- A single snapshot cross-sectional study
- A longitudinal cohort study tracking outcomes over 12+ months (Correct answer)
- A one-time patient satisfaction survey
- A focus group with billing vendors
Correct answer: A longitudinal cohort study tracking outcomes over 12+ months
Longitudinal cohort studies follow the same population over time, making them ideal for evaluating whether improvements from workflow changes are sustained.
A billing team wants to use data to reduce claim denials.
Which evidence-based approach should they start with?