HomeFinancial reporting and revenue analyticsBilling & Revenue Cycle AutomationFinancial reporting and revenue analytics

Financial reporting and revenue analytics

Purpose

1. Automate collection, processing, and visualization of billing data for allergist practices.

2. Consolidate revenue streams, claims data, patient billing, and insurance payments into real-time dashboards.

3. Reduce manual errors, speed reconciliations, enable compliance, and support financial planning.

4. Integrate allergy-specific data sources and medical EHR/EMR platforms for precise specialty analytics.


Trigger Conditions

1. New patient invoices generated in EMR or billing system.

2. Insurance remittance or EOB (Explanation of Benefits) received.

3. Month-end closing event in finance platform.

4. Scheduled reporting times (e.g., daily, weekly, monthly).

5. Significant deviations in expected claim payments or denials detected.


Platform Variants


1. QuickBooks Online

 • Feature/Setting: Use "Reports API" to fetch transaction details; configure for automation on invoice finalization.

2. Xero

 • Feature/Setting: “Accounting API”; trigger on new “Invoices” and “BankTransactions” for revenue logs.

3. Sage Intacct

 • Feature/Setting: “General Ledger Smart Rules”; automate on journal posting to financial entities.

4. FreshBooks

 • Feature/Setting: “Events API”; monitor “invoice.paid” and “payment.created” events.

5. Microsoft Dynamics 365 Finance

 • Feature/Setting: “Data Management API”; schedule extraction of billing/claims records.

6. Athenahealth

 • Feature/Setting: “Billing API”; invoke for updated claims, copays, and payment details.

7. Epic (Open.epic)

 • Feature/Setting: “BillingResources FHIR API”; pull charge or remittance JSON via secure client credentials flow.

8. Cerner Millennium

 • Feature/Setting: “Millennium Revenue Cycle API”; auto-pull posted charges and remittance reports.

9. Meditech

 • Feature/Setting: “Data Repository ODBC/API”; schedule extraction of patient statements and payment data.

10. Greenway Health

 • Feature/Setting: “Intergy API Reporting”; trigger on “Financial Summary” data refresh.

11. Salesforce Health Cloud

 • Feature/Setting: “Reports & Dashboards API”; automatically refresh allergy billing dashboards on status changes.

12. Google Sheets

 • Feature/Setting: “Sheets API”; auto-update rows for new payments, claims, and denials.

13. Power BI

 • Feature/Setting: “Push Datasets API”; upload summary financial metrics in near real-time.

14. Tableau

 • Feature/Setting: “REST API Webhooks”; push up-to-date revenue data after every batch process.

15. Looker Studio

 • Feature/Setting: “Data Connector API”; scheduled pipeline pulls for updated datasets from EHR/billing.

16. Zoho Books

 • Feature/Setting: “Invoice API” and “Reports API”; auto-query receivables and aging invoices.

17. NetSuite

 • Feature/Setting: “SuiteAnalytics Connect”; schedule export based on GL event triggers.

18. Bill.com

 • Feature/Setting: “Webhook event API”; trigger on payment received or processed.

19. SAP S/4HANA

 • Feature/Setting: “Financial Statement API”; automate pulls for revenue and expense line items.

20. Oracle Cloud ERP

 • Feature/Setting: “Report APIs”; configure to stream summary billing and claim settlements.

21. Kareo

 • Feature/Setting: “Billing API”; pull detailed “Payments” and “Outstanding Claims” when statuses change.

22. AdvancedMD

 • Feature/Setting: “AdvancedAPI Billing/Payments”; scheduled or event-based extraction of account summaries.

23. eClinicalWorks

 • Feature/Setting: “Reporting API”; routine report pulls for charges/payments/adjustments.

24. Domo

 • Feature/Setting: “Domo Workbench API”; batch upload normalized and aggregated data from financial sources.

Benefits

1. Eliminates manual spreadsheet work for allergist revenue cycles.

2. Achieves real-time financial visibility and cashflow forecasting.

3. Reduces insurance/claims delays through faster discrepancy detection.

4. Simplifies compliance/audit reporting and specialty-specific drilldown.

5. Frees staff from repetitive data tasks, allowing focus on patient service and analysis.

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