Medical Coding & Billing
Professional Roles • Healthcare
Select appropriate ICD-10 codes for [encounter]: Encounter: [visit type] Diagnoses documented: [list conditions] Provider documentation: [key clinical details] Chronic vs acute: [status] Complications: [if any] External causes: [if trauma] ICD-10 coding: - Primary diagnosis (reason for encounter) - Secondary diagnoses (comorbidities addressed) - Specificity requirements met: - Laterality (right, left, bilateral) - Episode of care (initial, subsequent, sequela) - Severity/stage if applicable - With/without complications - Combination codes identified - Manifestation codes paired properly - External cause codes (if injury) - Place of occurrence - Activity code - Status code (if applicable) - Excludes notes reviewed - Code first/use additional code rules followed - Query opportunities identified if documentation lacks specificity - Rationale for code selection - Compliance with coding guidelines (ICD-10-CM official guidelines)
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Assign CPT codes for [procedure/service]: Procedure: [what was done] Approach: [open, laparoscopic, percutaneous] Documentation: [operative/procedure note details] Anesthesia: [type used] Complications: [if any] Additional services: [anything else done] Procedure coding: - Primary procedure code - Approach modifiers if applicable (-22, -51, -52, -53, -59, -76, -77, -78, -79) - Bilateral modifier (-50) if applicable - Multiple procedure rules - Bundling edits (NCCI) - Separate procedure designation - Unlisted code if no specific code - Anesthesia code if separately billable - Imaging guidance codes - Supply codes (HCPCS) - Assistant surgeon (-80, -81, -82) - Professional vs technical component (-26, -TC) - Documentation supports code selected - Medical necessity established - Modifiers correctly applied - Compliance with CPT guidelines
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Determine E/M level for [encounter]:
Encounter type: [office visit, hospital, consultation, ED]
Patient: [new vs established]
Documentation: [key elements]
Time: [if time-based]
MDM complexity: [problem, data, risk]
E/M level determination (2021/2023 guidelines):
- Visit type code range
- New vs established patient
- Selection method:
- Medical Decision Making (MDM) OR
- Total time on date of encounter
- If MDM approach:
- Number/complexity of problems addressed
- Minimal (99202/99212)
- Low (99203/99213)
- Moderate (99204/99214)
- High (99205/99215)
- Amount/complexity of data reviewed
- Risk of complications, morbidity, mortality
- Two of three elements determine MDM level
- If time approach:
- Total time documented (including non-face-to-face on date)
- Time ranges per level
- Prolonged service codes if applicable
- Place of service code
- Modifier needs (-25 if with procedure)
- Medical necessity documented
- Supports level selected
- Compliance with CMS guidelinesTry this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Conduct coding audit for [provider/practice]: Audit scope: [charts to review] Provider specialty: [specialty] Audit focus: [E/M, procedures, specific codes] Sample size: [number of charts] Time period: [dates] Coding audit: - Sampling methodology - Documentation review for each case: - Code assignment accuracy - Specificity of diagnosis codes - Procedure code appropriateness - Modifier usage - Medical necessity support - Compliance with guidelines - Error identification: - Upcoding - Downcoding - Unbundling - Missing documentation - Incorrect modifiers - Error rate calculation (by code type) - Financial impact assessment - Root cause analysis - Provider education needs identified - Corrective action plan - Re-audit timeline - Compliance risk level - Reporting to stakeholders
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Establish medical necessity for [service]: Service: [procedure or treatment] Diagnosis: [indication] Payer: [insurance] LCD/NCD: [coverage determination] Alternatives: [less invasive tried] Medical necessity documentation: - Diagnosis linking to service (ICD-10 codes) - Signs and symptoms documented - Clinical findings supporting need - Conservative treatment failed (if required) - Frequency and duration justified - Alternative treatments considered/tried - Payer-specific requirements: - LCD (Local Coverage Determination) - NCD (National Coverage Determination) - Prior authorization obtained - Evidence-based guidelines support - Anticipated outcome - Risk vs benefit discussion - Patient-specific factors - Query provider if documentation insufficient - ABN (Advance Beneficiary Notice) if may not be covered - Appeal documentation if denial anticipated
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Determine appropriate modifiers for [scenario]:
Service: [procedure/visit]
Circumstances: [what makes this different]
Payer: [insurance type]
Bundling issues: [NCCI edits]
Provider: [performing physician]
Modifier selection:
- Modifier purpose identified
- Common modifiers by category:
- Anatomic (-LT, -RT, -E1-E4, -FA-F9, -TA-T9)
- Procedural (-22, -51, -52, -53, -58, -59, -76, -77, -78, -79)
- Service (-24, -25, -26, -32, -33, -57)
- Personnel (-80, -81, -82, -AS)
- HCPCS level II (various)
- NCCI edit bypass (modifier -59/-X{EPSU})
- Multiple procedures (modifier -51)
- Bilateral procedures (modifier -50)
- Reduced services (modifier -52)
- Distinct procedural service (modifier -59)
- Professional component (modifier -26)
- Sequencing of modifiers (when multiple)
- Payer-specific modifier rules
- Documentation supports modifier use
- Rationale for modifier selection
- Compliance with CMS and CPT guidelinesTry this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Manage claim denial for [service]: Denied service: [what was denied] Denial reason: [reason code] Payer: [insurance] Patient responsibility: [amount] Original claim: [date and details] Documentation: [what was submitted] Denial management: - Denial reason analysis - Coding error - Medical necessity - Prior authorization missing - Timely filing - Eligibility issue - Bundling/NCCI - Documentation insufficient - Corrective action: - Corrected claim submission - Appeal required - Additional documentation needed - Patient responsibility - Appeal process: - Payer-specific appeal requirements - Timeline to appeal - Level of appeal (1st, 2nd, external) - Documentation to include - Letter of medical necessity - Clinical notes - Evidence-based support - LCD/NCD coverage - Tracking and follow-up - Prevent future denials (education) - Financial counseling for patient if applicable
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Optimize charge capture for [practice/department]: Practice: [type and size] EMR: [electronic system] Providers: [number and specialties] Missed charges: [known issues] Compliance: [audit findings] Charge capture optimization: - Current workflow analysis - Charge entry points identified - Missed charge opportunities: - Procedures not billed - Supplies not captured - E/M levels undercoded - Services bundled incorrectly - EMR optimization: - Order sets linked to charges - Templates with charge prompts - Charge reconciliation reports - Provider education: - Documentation requirements - Coding basics - Compliance risks - Coding staff workflow - Charge lag reduction - Quality checks before submission - Denial prevention - Compliance safeguards - Key performance indicators - Regular auditing - Revenue improvement estimated
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
Create coding query for [documentation issue]: Chart: [patient encounter] Issue: [what's unclear or missing] Impact: [why it matters] Provider: [who to query] Timeline: [urgency] Coding query: - Query initiation criteria met: - Clinical indicators present but not documented - Conflicting documentation - Unclear terminology - Specificity lacking - Diagnosis not linked to treatment - Query format (AHIMA compliant): - Clinical indicators cited (from chart) - Question posed (open-ended, not leading) - Options provided (if multiple choice) - Unable to determine option included - Space for provider explanation - Examples of non-compliant queries to avoid - Documentation integrity maintained - No assumption or inference - Physician clarification only - Query becomes part of medical record - Follow-up if no response - Education opportunity identified - Prevent future queries on same issue
Try this prompt in:
Note: ChatGPT and Perplexity will open with the prompt pre-filled. For Claude and Gemini, you'll need to paste the prompt manually.
