AI Claims Processing — Faster Filing, Fewer Rejections
QuickIntell Claims Processing lets revenue leaders auto-ingest, validate, and adjudicate claims end-to-end in hours (not weeks), so you cut days in A/R, lift First Pass Acceptance >95%, and stop revenue leaks.
Trusted by 180+ teams
TL;DR
- End-to-end claims move from intake to validated submission in hours, not weeks.
- Teams use the first 60 days to target >95% first-pass acceptance.
- Dual-clearinghouse Availity + Stedi routing supports automatic failover when a route is unavailable.
- AWS Bedrock LLM workflows keep PHI inside governed processing with zero model-provider retention.
- Biller-authored payer rules can be simulated before enforcement so operational judgment stays in control.
What are the most common reasons claims get rejected?
Healthcare claim rejections occur when insurance companies refuse to process or reimburse a provider for a medical service. The most common causes include eligibility issues (patient not covered on the date of service), coding errors (incorrect ICD-10 or CPT codes), missing or expired prior authorizations, duplicate claims, timely filing violations, and incomplete clinical documentation. The average US hospital experiences a 6-13% claim denial rate, with each denied claim costing $25-$118 to rework (Advisory Board, 2024). QuickIntell's AI claims processing platform automates intake, validates documentation and codes against payer-specific rule engines, and submits clean claims electronically — achieving >95% first-pass acceptance rates. The system tracks claim status in real time across 3,500+ US payors, automatically triggers exception workflows for flagged claims, and provides root-cause analytics to prevent recurring rejections — reducing days in A/R by 8-15 days and cutting rework by up to 75%.
Why do healthcare claims get rejected and what does it cost you?
High rework & write-offs
Fragmented intake and missing documentation lead to denials and appeals.
Slow cash conversion
Siloed tools, status chasing, and phone trees stretch Days Sales Outstanding.
Zero visibility
Poor root-cause signals, no payer trend intelligence, and compliance risk.
How does AI reduce claims processing time?
Intake, validation, submission, status, and remediation — enforcing payer-specific rules with ML, so you accelerate approvals, reduce denials, and forecast cash with confidence.
Why QuickIntell
Claims automation works when billers can control the rules, operations can route around outages, and AI stays inside governed healthcare infrastructure.
Self-service rules studio
Rules studio is built for billers, not engineers or IT ticket queues. Your RCM leaders can author payer-specific edits for modifiers, LCD/NCD logic, bundling, timely filing, and attachment requirements; choose WARN or BLOCK; then simulate the last 30 days of claims before anything affects production. The result is a measurable false-positive check, not a blind rule push. When a pattern proves useful, analysts promote it with audit history, owner, effective date, and rollback notes so your operating playbook improves every month.
Explore denial predictionAvaility<->Stedi routing
QuickIntell keeps claim routing resilient by treating clearinghouse choice as a live decision, not a static setting. Claims can flow through Availity or Stedi based on payer route, transaction type, eligibility response, batch status, and operational priority. If one route slows or fails, auto-failover moves eligible claims to the alternate path and records the reason for reconciliation. Teams can throttle by site, NPI, payer, or exception queue, which keeps urgent clean claims moving during daily batching while complex work waits for review.
Connect claim routing to remitsBedrock-hosted Claude
PHI stays inside governed AWS Bedrock workflows, where Claude supports summarization, payer-profile briefs, rule explanations, and exception drafts with zero model-provider retention. Monthly payer profile briefs convert your own claim outcomes, rejection patterns, 835 signals, and portal notes into specific operating recommendations, then keep human approval at the promotion point. Security teams get encryption, RBAC, BAA support, audit logs, and retention controls they can review during procurement, audits, and renewals, so AI assistance is observable instead of a black-box side channel.
Review the trust centerHow does QuickIntell handle clean claim submission?
Connect
Plug into EHR/PMS, clearinghouse, and 3,500+ payors via FHIR, proprietary APIs, and OpenEMR write-back patterns.
Run
AI validates docs/codes, applies edits, submits, watches status, and triggers voice-assisted exception handling.
Measure
Dashboards for FPA, DSO, denial mix, payer lag, and cohort trends with drill-downs.
What is QuickIntell's first-pass claims acceptance rate?
>95% First Pass Acceptance
Reduce preventable rejections and shrink appeals workload.
Up to 75% faster TAT
Improve cash predictability and lower DSO by 8-15 days.
Real-time payer intelligence
Fix root causes once, not chase symptoms.
What is included in QuickIntell Claims Processing?
Automate
- •AI-assisted intake & normalization from EHR, PDFs, HL7/FHIR, and voice capture.
- •Payer-specific rule engine, denial prediction, modifiers, NCCI, LCD/NCD, and continuous learning.
Collaborate
- •Guided exception workflows with role queues, SLA timers, and AI-drafted resolutions.
- •Voice-assisted data capture for missing elements, including eligibility/COB, auth refs, and attachments.
Control
- •Policy & compliance controls: HIPAA/SOC 2 evidence, audit trails, least-privilege RBAC, PHI redaction.
- •Granular routing & throttling by payer, specialty, site, and work-queue priority.
Report
- •Cash & claims cockpit: FPA, IDR, denial root causes, payer latency, aging heatmaps.
- •Forecasting & what-ifs: expected cash by payer/service line, impact of rule changes.
Integrations
Works with Epic, Athenahealth, Cerner, eClinicalWorks, NextGen, Allscripts/Veradigm, OpenEMR; Availity and Stedi for clearinghouse routing; SFTP/EDI X12 (837/835/277), FHIR R4.
What it enables:
- •Zero-touch submission from encounter close to 837.
- •Automated status and payment posting via 277/835 and 835 reconciliation.
- •Eligibility/COB & auth checks inline to prevent denials.
If your stack differs, we provide adapters or RPA bridges.
“We lifted First Pass Acceptance from 88% to 97.6% in 60 days and cut DSO by 12 days — without hiring.”— Monica Patel, VP Revenue Cycle, HorizonCare MSO
Frequently Asked Questions
Most teams launch a pilot in 2–4 weeks using standard connectors.
Yes—native integrations and EDI pipes cover major networks; we add adapters if needed.
Absolutely—exception queues, dual-control approvals, and audit trails preserve oversight.
Our ML rule engine ships with payer packs and learns from outcomes to reduce false edits.
Specialty packs for ASC, Anesthesia, Lab, DME, and Behavioral Health pre-configure edits and documentation requirements.
Yes—predictive models estimate cash by payer/CPT/clinic and simulate rule changes.
Yes—automated attachment gathering, payer-formatting, and submission with claim.
Baseline metrics at kickoff; then track FPA, DSO, denial rate/mix, and payer latency with cohort views.
We use compliant RPA with monitoring and gracefully fail over to manual queues if required.
PHI is minimized, encrypted, and processed within governed environments; prompts/outputs are logged.
Multi-tenant controls handle sites, NPIs, pay-to with separate ledgers and shared analytics.
No—we sit beside them, reducing swivel-chair work and improving outcomes in your current stack.
QuickIntell routes claims through Availity and Stedi, with automatic failover when a clearinghouse or payer route is unavailable.
AI processing runs on AWS Bedrock with zero model-provider retention. PHI stays encrypted in transit and at rest, and it is never sent to third-party LLM endpoints.
Not yet. QuickIntell operates with HITRUST-aligned controls today, and formal HITRUST CSF certification is on the security roadmap.
Yes. Rules studio lets authorized RCM teams create payer-specific rules, simulate the last 30 days before enforcement, and choose BLOCK or WARN actions.
Pricing
Starter
Ideal for clinics/ASCs starting automation
- Up to 10k claims/month, 10 users, 1 specialty pack
- Core intake, edits, payer rule bundles, dashboards
- Email support, sandbox + guided onboarding
Growth
MSOs & mid-size RCM teams
- 10k-100k claims/month, SSO, 3 specialty packs
- Advanced denial analytics, exception workflows, webhooks
- Priority support, quarterly optimization reviews
Scale
Enterprises & BPOs
- 100k+ claims/month, unlimited users/sites
- Custom payor packs, multi-tenant controls, HIPAA BAAs, audit exports
- Dedicated CSM, premium SLAs, change-control governance
Add-ons: Auth automation, voice capture, No Surprises Act / GFE cost estimation, predictive cash forecasting, bespoke payer rules.
Security
Encryption
AES-256 at rest; TLS 1.2+ in transit; HSM-backed key management.
Access
SSO (SAML/OIDC), MFA, IP allow-lists, device posture checks, session timeouts.
Controls
Role-based access, field-level permissions, immutable audit logs, data residency options.
Assurance
HIPAA-aligned safeguards, SOC 2 Type II evidence target Q3 2026, HITRUST controls target Q3 2026, BAAs available.