Please select 3 correct answers
Technology automates processes (A), enables real-time eligibility checks (B), and generates valuable data for performance improvement (D). However, it does not eliminate the need for human oversight (C); skilled staff are essential to interpret data and handle complex issues.
Please select 3 correct answers
Data analytics helps identify denial trends (A), predict payment behavior (B), and benchmark performance (D). However, no system can guarantee 100% claim approval (C), as some factors depend on payer policies and clinical documentation.
Please select 3 correct answers
Important KPIs include clean claim rate (A), average days in AR (B), and appeal success rate for denials (D). While patient satisfaction scores (C) are valuable, they are not a direct indicator of revenue cycle performance.
Please select 4 correct answers
All listed technologies play critical roles in revenue cycle management: EHRs (A) store patient data, claim scrubbers (B) check for errors, dashboards (C) monitor KPIs, and RPA (D) automates repetitive tasks.
Please select 3 correct answers
Predictive analytics can anticipate denial risks (A), identify patients needing financial counseling (B), and forecast revenue trends (D). While it aids in coding, claims cannot be coded fully without human oversight (C) due to the complexity of clinical scenarios.
