EHR EHR Data Analytics and Reporting 3

Question 1

What is 'predictive analytics' in the context of EHR systems?

Accepted Answer

Using historical patient data and algorithms to forecast future health events or risks

Answer

Predictive analytics applies statistical models to historical EHR data to identify patients at risk for events like readmission, deterioration, or disease onset.

Question 2

A quality improvement team notices that the EHR's blood pressure measurement field contains both '120/80' and '120 over 80' formats. This is an example of a:

Accepted Answer

Data integrity / data quality issue

Answer

Inconsistent data entry formats represent a data quality problem that can skew analytics results and prevent accurate automated analysis.

Question 3

Which reporting standard does CMS require for Electronic Clinical Quality Measures (eCQMs) submitted by eligible hospitals?

Accepted Answer

QRDA (Quality Reporting Document Architecture)

Answer

QRDA is the HL7 standard format (Category I for patient-level and Category III for aggregate data) required for submitting eCQMs to CMS.

Question 4

What is the purpose of a 'benchmark' in EHR quality reporting?

Accepted Answer

A reference standard against which a practice's performance metrics are compared

Answer

Benchmarks provide a reference point (e.g., national or regional averages) so a practice can assess whether its quality metrics are above or below peers.

Question 5

Which analytics approach is most appropriate for determining why readmission rates increased after a workflow change in the EHR?

Accepted Answer

Root cause analysis using diagnostic analytics

Answer

Diagnostic analytics investigates why a metric changed, making it the right tool for identifying the cause of a specific increase in readmission rates.

EHR - Electronic Health Record Practice Test

EHR - Electronic Health Record Practice Test

EHR EHR Data Analytics and Reporting 3