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EPIC COG170 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Personalization and Access | - Controlling visibility via 'Ready for Use' and user roles - Role-based personalization for dashboard access |
| Topic 2: Metric Framework | - Metric tracking using CSF, IDB, IDN, and IDK - Configuring key performance indicators and thresholds |
| Topic 3: Dashboards and Components | - Creating and configuring dashboards - Customizing layout, visuals, and data connections - Managing visibility, views, and component behavior |
| Topic 4: Key Master Files and Records | - Identifying functions of PAF, HRX, IDK, HCM, HGG files |
| Topic 5: Reporting Workbench and Templates | - Configuring access, visibility, and security settings - Differentiating reports (HRX) and templates (HGR) |
| Topic 6: Epic Databases | - Chronicles, Clarity, and Caboodle - Real-time vs. analytical database structures |
| Topic 7: SlicerDicer Concepts | - Linking dashboard inputs for dynamic reporting - Functional differences between filters and slices |
EPIC Epic Cogito Fundamentals Sample Questions:
1. You want to explore patients with overdue colonoscopies grouped by age. What's the best approach?
A) Use link component
B) Apply threshold coloring to table view
C) Launch a Radar dashboard
D) Filter by "colonoscopy status", slice by "age group"
2. A hospital wants to benchmark its ICU length of stay against Epic community members. The data must be displayed in a Radar dashboard component. Which tool and configuration are required to achieve this?
A) Dashboard Metrics; configure the component to query Epic's benchmarking database.
B) Analytics Catalog; link the dashboard to Epic's Clarity database.
C) Reporting Workbench; enable community benchmarking in the report's settings.
D) SlicerDicer; add a benchmarking filter to the ICU session.
3. A dashboard component fails to load due to a data source mismatch. The component uses a SlicerDicer session. What should be corrected?
A) Align the component's data source with the SlicerDicer session's database.
B) Update the component's security settings in Hyperspace.
C) Rebuild the dashboard's Access form for user permissions.
D) Modify the SlicerDicer session's filter settings.
4. A SlicerDicer session in a dashboard component shows outdated data. The session uses Caboodle. What should be done?
A) Increase ETL process frequency to update Caboodle.
B) Switch to Chronicles for real-time data.
C) Rebuild the session with new filters in Hyperspace.
D) Assign a new Report Group to the component.
5. A Cogito analyst is tasked with building a Radar dashboard to monitor patient no-show rates across clinics, using a SlicerDicer session based on the Appointments data model. The dashboard must include a component with drill-down to patient records, benchmark no-show rates against Epic community data, and restrict access to clinic administrators. The component fails to display in the Analytics Catalog, and some authorized users report inconsistent data. Which combination of steps resolves these issues and meets all requirements?
A) Link the component to a Reporting Workbench report, enable drill-down in SlicerDicer, assign Action Groups, and schedule nightly ETL processes.
B) Rebuild the SlicerDicer session in Clarity, enable ad hoc searches, set security points in Hyperspace, add the dashboard to the Analytics Catalog, and update user roles.
C) Define the component's Display Title, configure a Hyperspace activity link, enable Epic benchmarking in Dashboard Metrics, assign a Report Group for administrators, and set the Summary Target Lookup Method to "Global."
D) Configure the component with Caboodle as the data source, add a benchmarking filter in SlicerDicer, restrict access via Chronicles, and enable user personalization.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |




