HAC Healthcare Analytics Data Collection & Management 5

Question 1

Which approach BEST describes federated learning in the context of multi-site healthcare data analysis?

Accepted Answer

Models are trained locally at each site and only model parameters are shared, not raw patient data

Answer

Patient records are encrypted and transferred to a central server for pooled analysis

Answer

Each site independently publishes summary statistics that are then manually combined by analysts

Answer

A single institution hosts all data under a business associate agreement with every contributing site

Question 2

A quality analyst finds that a critical lab result field is populated in only 60% of records. Which action should be taken FIRST?

Accepted Answer

Investigate whether missingness is random or systematically related to patient characteristics or workflow factors

Answer

Impute all missing values with the dataset mean before proceeding with analysis

Answer

Delete all records with missing lab values to ensure a clean dataset

Answer

Report the finding to regulators as a HIPAA violation

Question 3

What is the primary risk of using administrative claims data as the sole source for a clinical quality measure?

Accepted Answer

Claims data captures billing intent rather than clinical reality, leading to misclassification of conditions and procedures

Answer

Claims data is only available in paper format, making electronic analysis impossible

Answer

Claims data always overstates disease prevalence due to upcoding incentives

Answer

Claims data cannot be linked to demographic information such as age or gender

Question 4

Which standard defines the vocabulary and structure for representing clinical genomic data in healthcare information systems?

Accepted Answer

HL7 FHIR Genomics Implementation Guide combined with LOINC and HGVS notation

Answer

ICD-10-CM with supplementary genetic modifier codes

Answer

SNOMED CT standalone without any additional standards

Answer

CPT Category III codes for emerging genomic technologies

Question 5

In healthcare data pipelines, what is the key difference between an ELT and an ETL approach?

Accepted Answer

ELT loads raw data into the target system first and transforms it there, whereas ETL transforms data before loading

Answer

ELT requires more expensive hardware than ETL because transformation is more complex

Answer

ETL preserves raw data for auditing, while ELT discards source records after transformation

Answer

ELT stands for Extract-Link-Transfer and is specific to claims data processing

Question 6

Which method is MOST appropriate for validating that a data warehouse's ETL process correctly transformed source data?

Accepted Answer

Reconciliation queries comparing record counts and aggregate values between source and target systems

Answer

Visual inspection of a random sample of 10 records by the project manager

Answer

Running the ETL process twice and comparing the two output files

Answer

Checking that the target file size is larger than the source file size

Question 7

A healthcare organization wants to ensure its analytics data meets the 'fitness for use' definition of data quality. Which framework is MOST commonly applied?

Accepted Answer

The AHIMA data quality management model covering accuracy, accessibility, comprehensiveness, consistency, currency, definition, granularity, precision, relevancy, and timeliness

Answer

ISO 9001 quality management certification applied to all data entry staff

Answer

The Lean Six Sigma DMAIC cycle adapted exclusively for EHR optimization

Answer

The CMS Meaningful Use attestation checklist for data quality compliance