EHR Data Analytics and Reporting Flashcards

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

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

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

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:

Answer: Data integrity / data quality issue

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

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

Answer: QRDA (Quality Reporting Document Architecture)

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

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

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

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.

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

Answer: Root cause analysis using diagnostic analytics

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

In EHR-based analytics, what does 'attribution' refer to?

Answer: Assigning patients to a specific provider or care team for quality and cost accountability

Attribution assigns responsibility for a patient's outcomes and costs to a specific provider or care team, which is essential for value-based care performance measurement.

Which of the following best describes 'real-time analytics' in an EHR environment?

Answer: Immediate processing and display of clinical data as it is entered to support instant decision-making

Real-time analytics processes data as it is entered into the EHR and immediately surfaces insights or alerts to support timely clinical decisions.