Insights Dashboards — Operational Efficiency
athenaCollector, athenaClinicals, athenaCommunicator
The Insights Dashboards provide metrics, charts, tables, and tips to help improve practice revenue cycle performance, clinical efficiency, and patient engagement.
Operational Efficiency
Optimize how work moves across your revenue cycle to reduce delays in claims processing, improve throughput, and accelerate time to payment.
From the Operational Efficiency landing page, you can access these dashboards:
- Time to Revenue — Track how long it takes to move from claim creation to payment to identify delays across billing, remittance, and claim closure.
- Rejections & Denials — Monitor where claims fail in the process to reduce rework, improve first-pass resolution, and minimize payment delays.
- Customer Inventory — Identify gaps in charge capture and billing readiness to reduce missed revenue and improve claim submission efficiency.
- Appointments & Scheduling — Track appointment lifecycle performance to improve completion rates and reduce no-shows and cancellations.
On the Main Menu, click Reports. Under INSIGHTS DASHBOARDS, click Operational Efficiency.
To access the Insights Dashboards, you must have specific required permissions. See the Insights Dashboards > User access and permissions O-help article section for details.
For key features of the Insights Dashboards, see the Insights Dashboards > Key features O-help article section for details.
To view metric definitions on a dashboard, hover over the metric names in the Breakdown table (if available).
Track how long it takes to move from claim creation to payment to identify delays across billing, remittance, and claim closure.
| Time to Revenue | ||
|---|---|---|
| Section | Metric | Definition |
| Time to Revenue (Primary) | Time To Revenue |
Average number of calendar days between the date of service and when the claim is first closed for the primary payer. |
| Time to Bill (Primary) | Time to Bill |
Average number of calendar days from the date of service to the first claim submission to the primary payer. |
| Time to Remit (Primary) | Time to Remit |
Average number of calendar days between the claim submission and athenahealth receiving the first remittance for the primary payer. |
| Time to Close (Primary) | Time to Close |
Average number of calendar days between receiving the first remittance and closing the claim for the primary payer. |
Monitor where claims fail in the process to reduce rework, improve first-pass resolution, and minimize payment delays.
| Rejections & Denials | |||
|---|---|---|---|
| Tab | Section | Metric | Definition |
| Denials Performance | First-Pass Resolution Rate (FPRR) | First-Pass Resolution Rate | Looking only at the claims posted to primary payers that were processed and adjudicated based on the first submission: Total number of claims that got a successful outcome divided by total number of claims. "First pass" means the claim was accepted and adjudicated without being rejected, being denied, or needing manual intervention or "re-work". A successful outcome is one of these: a payment, a capitated adjustment, or a transfer to the next responsible party. |
| Initial Denial Rate | Initial Denial Rate | Number of denials received from primary payers after the claim was accepted for processing (i.e., initial denials) divided by the total number of claims posted to primary payers. Note: Only the first denial is counted in this rate (even if a claim was later denied again by the same payer). | |
| Initial Denial Rate & Overturn Rate | Overturn Rate | Percentage of the overall denied amount that was successfully recovered. | |
| Time to Rebill for Initially Denied Claims | Time to Rebill (Initial Denials) | Average time (days) between a claim’s initial denial and its first resubmission (for claims initially denied during the reporting period). | |
| Back-End Denial Rate | Backend Denial Rate | Total number of denials received from primary payers after the claim was accepted for processing (i.e., back- end denials) divided by the total number claims posted to primary payers. This includes any repeats (i.e., if the same claim was denied or posted multiple times). Note: We only count denials that change the claim status and come without payment. The denial must either put the claim into a hold status (keeping the balance) or transfer the balance to the next responsible party. | |
| Denials Trending | Front-End Rejection Rate | Front-End Rejection Rate | Number of claims rejected by primary payers before they were accepted for processing (i.e., front-end rejections) divided by the total number of claims billed to primary payers. Note: One claim can be counted multiple times if it is billed out more than once during the reporting period. |
| Customer Inventory | ||
|---|---|---|
| Section | Metric | Definition |
| Missing Slips | # of Missing Slips | Checked-in appointments that don’t have a claim created for them or that were marked as not needing charge entry. This is a snapshot of appointment data, current as of the previous business day. |
| Charge Entry Lag | Charge Entry Lag | How long it takes to enter charges after a visit, calculated as total time (in days) between the date of service and claim creation for all claims, divided by the total number of claims created in that month. If a claim has multiple days of service, then the metric is based on the last (most recent) date of service. The metric reflects any changes made before the month closes and ignores voided claims. |
| Unpostables Inflow & Outflow | Unpostables Inflow & Outflow | Unpostables are placeholders for financial records or correspondence that can’t be processed because of missing information or other issues (for example, payments that can’t be matched to existing charges). This includes Value-Based Care program payment records, which must be handled manually. “Unpostables” is an athenahealth term (they may also be called “remittance records”). |
Track appointment lifecycle performance to improve completion rates and reduce no-shows and cancellations.
| Appointment & Scheduling | |||
|---|---|---|---|
| Tab | Section | Metric | Definition |
| Reduce No-shows | Appointment Completion Rate | Appointment Completion Rate | The proportion of scheduled appointments that completed with a patient-provider visit. |
| Appointment Cancellation Rate | Appointment Cancellation Rate | The proportion of scheduled appointments that were cancelled. This excludes appointments that were rescheduled. |
|
| Appointment No-show Rate | Appointment No-show Rate | The proportion of scheduled appointments that were cancelled and marked as no-show. |
|
| Appointment Reschedule Rate | Appointment Reschedule Rate | The proportion of scheduled appointments that were rescheduled. |
|
| Last Moment Cancellation Rate | Last Moment Cancellation Rate | The proportion of scheduled appointments that were cancelled within 24 hours of the appointment time, excluding appointments that were rescheduled. |
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| Last Moment Reschedule Rate | Last Moment Reschedule Rate | The proportion of scheduled appointments that were rescheduled within 24 hours of the appointment time. |
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| Enhance Patient Access | Appointment Availability per Provider per Day | Appointment Availability per Provider per Day | Represents the average number of available appointment slots per day, capturing how many patients could be seen based on how the providers' schedules are set up and managed. |
| Patients Seen per Provider per Day | Patients Seen per Provider per Day | Represents the average number of patients provider seen per day. | |
| New Patient Appointments Completed | New Patient Appointments Completed | Represents the completed appointments scheduled for new patient who has not seen in the department in the last 3 years. | |
| New Patient Appointments Completed within 14 Days | New Patient Appointments Completed within 14 Days | Represents the new patient appointment completed within 14 days of scheduled date. New Patient Appointments Completed within 14 Days Rate represents the percentage of new patient appointments completed within 14 days of scheduled date out of all new patient appointments. | |
| Improve Schedule Utilization | Appointment Scheduling Efficiency Score | Appointment Scheduling Efficiency Score | A measurement to help practice managers understand how well they are using their available appointment slots. It compares the available appointment slots for a given day with the total number of slots actual patients seen. |