Industry Solutions Healthcare • Worked examples • Zero egress
Healthcare • Worked examples

Administrative decisions, handled consistently.
Clinical ones stay with clinicians.

Hospitals, clinics and payers make a huge number of administrative decisions: which requests are complete, which claims are clean, who works which shift. Helixor handles the routine part of those decisions consistently and hands anything clinical to a clinician.

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Scenarios on this page

These are examples, not a complete list. A decision usually fits when it has written criteria, pulls from several systems, happens often, and someone may later ask why it went the way it did. Pick one to jump to it.

Prior authorization routing

How it's decided today

A prior authorization request brings the order, diagnosis and procedure codes, the member's plan and eligibility, clinical notes, and the payer's policy for that service. Staff check whether the request is complete and whether it meets the criteria that allow it to move without clinical review. Incomplete requests bounce back and forth for days.

Where Helixor comes in

Helixor routes each request to one of three places: complete and ready for review, missing information (with a list of exactly what's missing), or clinical review. It never decides medical necessity. What it does is make sure a clinician's time goes to the requests that need clinical judgment, and that the office sending the request knows what to fix the first time.

Pushes it riskier
  • An out-of-network provider
  • A request outside the policy's frequency limits
  • Supporting notes missing for the codes submitted
  • Diagnosis and procedure codes that don't usually go together
Hard stops (a definite no)
  • The member isn't eligible on the date of service
  • An approved authorization for the same service already exists
  • The service isn't covered by the member's plan (goes to a person, with the reason)
What would change the decision
  • Attaching the missing clinical notes
  • Correcting a code or modifier
  • Switching to an in-network provider
  • Updated eligibility from the plan

What the audit record holds

  • Receipt, pack version and routing action
  • Payer policy version reflected in the pack version
  • Fired rules, including the list of missing items
  • Hash of the request payload (no PHI in the log)
  • The reviewing clinician's decision, linked by request ID
example log entry your application writesillustrative
{
  "request_id": "PA-55210",
  "receipt": "hx_proof_a41be09c77d3f2e85b10c6d4",
  "pack": "acme.pa_routing.imaging v7",
  "action": "missing_information",
  "rules": ["PA-DOCS-CONSERVATIVE-TX", "PA-CODE-MATCH-01"],
  "input_sha256": "51d0...9be2",
  "remedy": ["attach: 6 weeks conservative treatment notes", "confirm CPT for laterality"],
  "logged_at": "2026-09-28T09:41:37Z"
}

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Claims consistency checks

How it's decided today

Before a claim goes out (or before a payer pays it), someone checks codes, modifiers, units, dates of service, provider IDs and the payer's edits. Every denial that comes back costs rework and weeks of cash, and many of them are for things that could have been caught up front.

Where Helixor comes in

Helixor checks each claim against your consistency rules before submission and returns ready, fix and resubmit, or hold for coding review. The remedy spells out the fix. Denials that still come back are captured as outcomes and linked to the receipt, so the next pack version catches that pattern.

Pushes it riskier
  • Units above what's typical for the code
  • Modifier combinations the payer often rejects
  • Dates of service that overlap an inpatient stay
  • A rendering provider that differs from the scheduled one
Hard stops (a definite no)
  • Date of service falls after coverage ended
  • An exact duplicate of a claim already submitted
  • The provider isn't enrolled with this payer
What would change the decision
  • A corrected modifier
  • Splitting the claim by date of service
  • Updated eligibility or coordination of benefits
  • The correct rendering provider

What the audit record holds

  • Receipt and pack version
  • Fired edits in order
  • Claim ID and payer
  • The remittance outcome when it arrives

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Staff scheduling and rosteringSolver

How it's decided today

Nurse managers build schedules around coverage targets, skill mix, rest rules, union agreements, credentials and personal requests. It takes hours every period, and then someone calls out and the whole thing gets patched by phone. Overtime and agency spend creep up because the quickest fix is rarely the cheapest one.

Where Helixor comes in

Coverage targets, rest rules, credentials and contract terms go into the pack. The solver builds the roster, and when there's a call-out it looks for the smallest set of changes that fixes the gap without breaking anything else. Every proposed roster and swap is checked by the decision core and gets a receipt. The manager approves it. The pack holds the hard rules and the goal. The solver searches for the best plan that satisfies every hard rule, working from the same typed state the decision core uses. If no plan can satisfy them all, it tells you so instead of quietly breaking one. The solvers are built for GPUs, and that's where large plans solve fastest. Solvers are in Preview today.

What the solver optimizes
  • Least overtime and agency spend
  • Honoring as many shift requests as possible
  • Fair distribution of nights and weekends
  • Fewest changes when repairing a posted schedule
Hard constraints it never breaks
  • Minimum staffing and skill mix on every shift
  • Mandatory rest periods and maximum consecutive shifts
  • Current license and certifications for the unit
  • Union and contract terms
What would change the plan
  • A float nurse joins the pool
  • A staff member changes availability
  • Census forecast goes up or down
  • A new contract term on weekend rotation

What the audit record holds

  • Receipt and pack version for each roster and swap
  • Which constraints were binding
  • Requests honored and denied, with the reason
  • Who approved the final schedule

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Other decisions that fit

More examples

DecisionWhat Helixor decides
Capacity planningRoom, bed and appointment availability, with solvers and reasoning for the exceptions.
Referral routingSend each referral to the right clinic and slot type based on the order and the payer.

Recommended deployment

WorkloadPattern
Routing and claimsIn-process or loopback sidecar next to the practice or claims system
Scheduling and escalationsHybrid, with hosted solvers
Restricted networksAir-gapped
Where Helixor stops

Helixor does not diagnose, recommend treatment or decide medical necessity. A clinician is always in the loop for clinical decisions. A good place to start is one administrative decision, like prior authorization for one service line, with every denial and reroute linked to its receipt.

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Pick one decision.
We'll show you the receipt.

Bring a written policy and a handful of past cases. We'll turn it into a pack and run it next to your current process so you can compare.

Helixor Decision Engine ~25µs Typical • 0 Bytes Egress • Optimized for GPUs
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