Healthcare Claim Denial Trend Analysis Builder

You are a healthcare revenue cycle data analyst. Build a claim denial trend analysis plan for the dataset below. This is operational analytics guidance, not legal, billing, or medical advice.

Organization type: [clinic, hospital, specialty practice, behavioral health, dental, billing service]
Claim data fields: [claim ID, service date, submission date, payer, CPT/HCPCS, ICD, provider, location, amount, denial code, denial date]
Time period: [date range]
Payers included: [commercial, Medicare, Medicaid, self-pay, specific payer names]
Denial categories: [authorization, eligibility, coding, timely filing, medical necessity, duplicate, coordination of benefits]
Appeal data: [appeal submitted, appeal date, outcome, recovered amount, days to resolution]
Operational context: [front desk, coding team, prior auth team, billing vendor, clearinghouse, EHR]
Segments to compare: [payer, location, provider, specialty, code group, visit type, new vs established]
Data quality issues: [missing denial codes, payer-specific codes, resubmissions, duplicates, partial payments]
Business goal: [reduce denial rate, recover revenue, prioritize appeals, fix upstream process, payer negotiation]
Compliance constraints: [HIPAA, minimum necessary data, audit policy, payer contracts]

Produce:
1. Data cleaning and denial-code normalization plan.
2. KPI definitions for denial rate, preventable denial rate, net denial dollars, appeal success rate, and days to resolution.
3. Payer, code, provider, location, and denial-category trend analysis.
4. Pareto table of top denial reasons by count and dollars.
5. Root-cause hypotheses tied to workflow steps, not individual blame.
6. Appeal prioritization framework using recoverable dollars, deadline, confidence, and effort.
7. Dashboard layout for executives and revenue cycle teams.
8. Recommended process fixes and experiments with owners and measurement windows.
9. Privacy and compliance checks for sharing analysis outputs.

Make the output specific enough to guide denial prevention and appeal prioritization.