Healthcare Analytics Data Collection & Management Flashcards
7 cards from real HAC 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 Analytics Data Collection & Management flashcards as text
Which approach BEST describes federated learning in the context of multi-site healthcare data analysis?
Answer: Models are trained locally at each site and only model parameters are shared, not raw patient data
Federated learning preserves data locality by aggregating model updates rather than raw records, protecting patient privacy.
A quality analyst finds that a critical lab result field is populated in only 60% of records. Which action should be taken FIRST?
Answer: Investigate whether missingness is random or systematically related to patient characteristics or workflow factors
Understanding the mechanism of missingness (MCAR, MAR, or MNAR) is essential before choosing any handling strategy.
What is the primary risk of using administrative claims data as the sole source for a clinical quality measure?
Answer: Claims data captures billing intent rather than clinical reality, leading to misclassification of conditions and procedures
Diagnosis and procedure codes on claims reflect reimbursement optimization rather than precise clinical documentation.
Which standard defines the vocabulary and structure for representing clinical genomic data in healthcare information systems?
Answer: HL7 FHIR Genomics Implementation Guide combined with LOINC and HGVS notation
The FHIR Genomics IG, paired with LOINC for test naming and HGVS for variant notation, provides the interoperability framework for genomic data.
In healthcare data pipelines, what is the key difference between an ELT and an ETL approach?
Answer: ELT loads raw data into the target system first and transforms it there, whereas ETL transforms data before loading
ELT leverages the processing power of modern cloud data platforms to transform data after ingestion, enabling raw data preservation.
Which method is MOST appropriate for validating that a data warehouse's ETL process correctly transformed source data?
Answer: Reconciliation queries comparing record counts and aggregate values between source and target systems
Reconciliation testing compares row counts, checksums, and key aggregates between source and destination to detect transformation errors.
A healthcare organization wants to ensure its analytics data meets the 'fitness for use' definition of data quality. Which framework is MOST commonly applied?
Answer: The AHIMA data quality management model covering accuracy, accessibility, comprehensiveness, consistency, currency, definition, granularity, precision, relevancy, and timeliness
AHIMA's data quality management model defines ten characteristics that collectively determine whether data is fit for its intended use.