RHIT - Registered Health Information Technician Data Integrity and Quality 2 — Questions and Answers
Question 1: A hospital's duplicate medical record rate has increased from 3% to 8%. Which strategy would be most effective to address this issue?
- Delete all duplicate records immediately
- Implement an enterprise master patient index (EMPI) with algorithm-based matching and regular audits (Correct answer)
- Assign new record numbers to all patients
- Restrict registration to one department only
Correct answer: Implement an enterprise master patient index (EMPI) with algorithm-based matching and regular audits
An EMPI with algorithmic matching identifies potential duplicates at registration, and regular audits ensure ongoing clean-up.
EMPI systems use probabilistic or deterministic matching algorithms to compare patient demographics during registration and flag potential duplicates. An 8% rate far exceeds the industry benchmark of less than 1%.
Question 2: Which data quality characteristic ensures that all required fields in a health record are completed?
- Accuracy
- Completeness (Correct answer)
- Timeliness
- Consistency
Correct answer: Completeness
Completeness ensures that all required data elements and fields are present and filled in.
Data completeness means all required data elements are present for every encounter. Incomplete records affect patient safety, coding accuracy, billing, and legal defensibility.
Question 3: What is the primary purpose of a data quality management program in a healthcare organization?
- To reduce paper storage costs
- To ensure data meets standards for accuracy, completeness, consistency, and timeliness (Correct answer)
- To eliminate data entry staff
- To automate all quality reporting
Correct answer: To ensure data meets standards for accuracy, completeness, consistency, and timeliness
A data quality management program establishes processes to ensure health data meets quality dimensions throughout its lifecycle.
AHIMA's data quality model identifies ten characteristics: accuracy, accessibility, comprehensiveness, consistency, currency, definition, granularity, precision, relevancy, and timeliness.
Question 4: A data integrity audit reveals that a patient's blood type is recorded as Type A in the lab system but Type O in the EHR. What type of issue is this?
- A timeliness issue
- A consistency issue (Correct answer)
- A granularity issue
- An accessibility issue
Correct answer: A consistency issue
When the same data element has different values across systems, it represents a consistency issue.
Data consistency means the same data element has the same value across all systems. In this case of blood type, the inconsistency poses a serious patient safety risk.
Question 5: Which tool is most commonly used to analyze root causes of data quality problems in healthcare?
- Gantt chart
- Fishbone (Ishikawa) diagram (Correct answer)
- Pareto chart
- Flowchart
Correct answer: Fishbone (Ishikawa) diagram
A fishbone diagram is commonly used for root cause analysis to identify factors contributing to a data quality problem.
The fishbone diagram visually organizes potential causes into categories like People, Process, Technology, Policy, and Environment. It helps teams brainstorm and organize underlying causes.
Question 6: What role does data governance play in maintaining health data integrity?
- It manages physical server infrastructure
- It establishes organizational authority, policies, and accountability for data quality, security, and appropriate use (Correct answer)
- It provides patient education materials
- It handles medical coding exclusively
Correct answer: It establishes organizational authority, policies, and accountability for data quality, security, and appropriate use
Data governance establishes the framework of policies, standards, and accountabilities that ensure data is managed as a strategic asset.
Data governance addresses data quality standards, stewardship roles, access and security policies, lifecycle management, metadata management, and regulatory compliance.
A hospital's duplicate medical record rate has increased from 3% to 8%.
Which strategy would be most effective to address this issue?