Purpose
1. Automate the extraction and insertion of correct billing codes (ICD-10, CPT, HCPCS) based on pediatric dermatology visit documentation and clinical notes, minimizing manual entry errors, expediting claim cycles, and ensuring accurate reimbursement.
2. Enable automators to seamlessly integrate EHR, dictation analysis, and coding resources for real-time, automated, and rule-based billing code population.
3. Automate compliance with payer-specific and regional guidelines by instantly updating codes as documentation is completed and new rules emerge.
4. Reduce provider administrative workload by automating the laborious, error-prone billing code selection linked to patient encounter types, procedures, and modifiers.
Trigger Conditions
1. Automated trigger on completion or saving of visit note within EHR or EMR.
2. Automatedly triggered when provider dictates or uploads clinical summary.
3. Automated rule-based initiated upon updating patient diagnosis or procedure fields.
4. Automation triggered by batch uploads of visit data from scribe or clinician queue.
Platform Variants
1. Epic Systems
2. Cerner
3. athenahealth
4. NextGen Healthcare
5. Allscripts
6. eClinicalWorks
7. ModMed EMA
8. Practice Fusion
9. DrChrono
10. Kareo
11. Greenway Health
12. Meditech
13. Google Cloud Healthcare API
14. Microsoft Azure Health Data Services
15. AWS HealthLake
16. Symplr
17. Suki AI
18. Nuance Dragon Medical One
19. 3M M*Modal
20. Athena Text
21. Medisoft
22. HL7 FHIR
Benefits
1. Automated billing code insertion reduces claim denial rates and related rework.
2. Automates repetitive administrative tasks, freeing up provider time for patient care.
3. Accelerates revenue cycle by automating immediate billing-ready documentation.
4. Enhances compliance by automatedly adjusting for real-time payer and regulatory changes.
5. Increases claim coding accuracy through consistent, automated, context-based code selection.
6. Supports audit-readiness by keeping a complete, automated log of billing code insert events.
7. Automates reduction in delays from manual coder handoff or missing information.
8. Enables scalable, automatable workflows as visit volumes grow without additional coding staff.
9. Automates flagging and escalation of ambiguous cases to expert human review only when needed.
10. Strengthens patient satisfaction by automating faster billing and explanation of benefits turnaround.