Healthcare providers

Applied AI for hospital reimbursement and revenue-cycle operations.

Atomix helps hospitals prepare cleaner government and insurance claim submissions, flag denial risk before filing, and reduce the manual work that slows reimbursement.

AtomixRevenue Cycle
Live · 4 queued
PHL-4417PhilHealth Inpatient
Ready to file
Member IDPH-0029-3841
DiagnosisICD-10 J18.9
Form packetCF1 + CF2 complete
EligibilityConfirmed
Pre-submission check passed · No denial flags · Claim #CLM-9102
BPJ-2283BPJS Inpatient
Denial risk
Discharge summary missing. Required for BPJS filing — resolve before submission to avoid denial.
INS-6630Private Insurance
Processing…
Checking claim packet completeness and coding accuracy
GovernmentInsuranceFormsCompliance

Revenue-cycle systems

Cleaner submissions, fewer avoidable denials, faster cash flow

Atomix focuses on the operational mechanics that determine reimbursement: form readiness, documentation completeness, coding risk, queue timing, and team capacity.

Denial prevention

Flag missing documents, coding issues, and eligibility risks before filing.

Faster cycles

Improve submission speed so reimbursement reaches hospitals sooner.

Claims labor

Reduce repetitive form filling and manual packet preparation.

Submission evidence

Keep claims, forms, and risk notes organized for review workflows.

Country modules

Built around local government reimbursement workflows

The same applied AI layer adapts to the government entity, claim packet, and review workflow used by the hospital network.

PhilHealth

Philippines

Atomix fills PhilHealth requirements, checks claim packets for denial risk, and gives finance teams a faster path from discharge to reimbursement.

  • Automated form filling and submission preparation
  • Pre-submission risk flags for coding, documentation, and eligibility gaps
  • Reimbursement timing visibility across government and private insurance queues
Estimate your PhilHealth cash recovery →

BPJS

Indonesia

Atomix helps Indonesian hospitals package claims for BPJS, identify risk before submission, and reduce manual work across reimbursement teams.

  • BPJS-ready data checks and submission workflow automation
  • Denial risk review before claims enter government workflows
  • Claims team productivity metrics tied to cash-flow improvement

Private insurance

Insurance reimbursement

Atomix also supports hospital insurance reimbursement workflows where submission timing, documentation quality, and denial prevention determine cash flow.

  • Reimbursement queue visibility
  • Pre-submission claim packet checks
  • Claims team productivity measurement

Hospital estimator

Your hospital could recover ₱3,000,614,400 and 48,000 hours of work per year.

Model denied claim recovery, return-to-hospital cost, and claims team labor savings.

Recovered revenue₱1,232,395,200
Return to hospital cost₱160,747,200
Labor savings₱1,607,472,000
Recovered revenue ₱1,232,395,200 · Labor savings ₱1,607,472,000
3%
8%

Provider walkthrough

Map Atomix to your reimbursement queues.

Share aggregate monthly claim volume, denial rate, reimbursement timing, and the manual steps your team handles across government and insurance submissions.