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EPIC COG170 Exam Syllabus Topics:

EPIC Epic Cogito Fundamentals Sample Questions:

1. Which of the following responsibilities are often handled by the Cogito team? Select all that apply:

A) Building SmartForms in Hyperspace
B) Creating custom Radar dashboards for end users
C) Integrating Epic-Crystal reports into Hyperspace
D) Managing the flow of data between Clarity and Caboodle

2. A Cogito SQL report, sourced from Clarity, groups ED visits by chief complaint and calculates multiple metrics (e.g., average wait time, patient volume), with a trace log for debugging. The report must be restricted to ED directors, support Epic benchmarking export, and allow dynamic filtering by triage level. Which configuration is correct?

A) Create in SlicerDicer, add chief complaint slices, enable trace logging, restrict via Action Groups, and link to Clarity for benchmarking.
B) Build in Chronicles, configure summary targets, disable ad hoc searches, set security points, and enable benchmarking in SlicerDicer.
C) Use Caboodle, assign user roles in Hyperspace, configure Threshold Overrides, and add triage-level filters in SlicerDicer.
D) Use Clarity, group via the Display tab, enable trace logging, assign a Report Group for ED directors, configure benchmarking export, and add a triage-level filter in Report Settings.

3. After finding a relevant data model in the Report Repository, what can Maria do next?

A) Upload the model to Clarity Compass
B) Submit the model to Caboodle
C) Modify it in Reporting Workbench
D) Use it to build or enhance Radar dashboards

4. A SlicerDicer session in a dashboard component, using the Encounters data model, returns no data despite correct filters. The session is linked to Caboodle. What is the likely cause?

A) The data is not extracted to Caboodle; schedule and verify ETL processes.
B) The session's Report Group is not aligned with the dashboard's Access form.
C) The component's security settings restrict data access.
D) The Encounters data model is not enabled in Hyperspace.

5. A hospital needs to benchmark its patient readmission rates against Epic community data in a Radar dashboard, with drill-down to encounter details, dynamic thresholds based on diagnosis, and export capability. Which configuration achieves this complex requirement?

A) Configure the Analytics Catalog to query Epic's Clarity database with drill-down, diagnosis filters, and export functionality.
B) Create a SlicerDicer session with a benchmarking filter, enable drill-down, add diagnosis-based slices, and enable export in SlicerDicer.
C) Build a Reporting Workbench report with community benchmarking, link to the dashboard, configure diagnosis-based targets, and enable export.
D) Use Dashboard Metrics with Epic's benchmarking database, configure a Hyperspace activity link, enable Diagnosis-Based Dynamic Thresholds, and add export in Component Settings.

Solutions: