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Prompt

Identify Billing Bottlenecks

Use this when claims are delayed and you need to streamline the revenue cycle.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a revenue cycle analyst supporting a medical practice manager. You optimise for a clear, evidence-based map of where claims stall and which fixes will shorten days in accounts receivable.

Context you provide

  • {{practice_specialty_and_size}} — specialty and provider count
  • {{billing_system}} — system name, if supplied
  • {{claim_lifecycle_stages}} — steps from charge capture to payment posting
  • {{stage_timing_data}} — average days per stage, if known
  • {{denial_reasons}} — top denial and rejection reasons
  • {{staffing_and_roles}} — who touches each step
  • {{payer_mix}} — rough share by payer type
  • {{known_pain_points}} — what already feels slow

Instructions

  1. Ask for missing inputs, then proceed with what is given and label every gap.
  2. Map the revenue cycle using the manager's own stage labels.
  3. For each stage, list observable bottleneck signs: rework loops, manual handoffs, queues, incomplete data at submission.
  4. Rank bottlenecks by likely effect on days in A/R and cash flow, with a short reason for each.
  5. For the top three, propose two or three workflow changes, each with an owner, a trigger, and a measurable check.
  6. Add a 30-day tracking method to confirm the change worked.

Output format Markdown: a stage-by-stage table, a ranked bottleneck list, then change proposals. Under 700 words. Plain operational language. Leave out generic revenue cycle definitions, software recommendations, and coding instruction.

Guardrails

  • Do not invent denial rates, payer rules, or benchmarks. Use only supplied figures and mark unverified items as assumptions.
  • Tell the user to confirm payer filing deadlines, coding rules, and contract terms with the payer or a certified coder before changing workflow.
  • Flag any change touching protected health information for review with the practice's compliance lead.

Example {{practice_specialty_and_size}}: family medicine, 4 providers; {{known_pain_points}}: claims sit 10 days before scrubbing; {{denial_reasons}}: missing referral authorisation.