Healthcare automation consulting

Turn complex healthcare workflows into systems that work.

FHIRant helps payer, provider, pharmacy, and health technology teams move from fragmented requirements to practical, interoperable automation—with a clear path from discovery through production.

01

Prior authorization transformation

Map current-state authorization work, identify the highest-value automation opportunities, and design workflows that reduce avoidable manual effort.

  • Operational workflow assessment
  • CRD, DTR, and PAS implementation planning
  • Evidence and exception-routing design
  • Pilot scope, metrics, and rollout roadmap
02

Payer policy intelligence

Convert policy libraries into governed, traceable criteria that can support coverage discovery, documentation guidance, and evidence matching.

  • Policy ingestion and normalization strategy
  • Knowledge graph and data-model design
  • Source provenance and version governance
  • Criterion-level validation workflows
03

FHIR and interoperability

Translate business workflows into implementable FHIR exchanges and integration patterns that fit existing clinical and administrative systems.

  • FHIR architecture and resource mapping
  • Implementation-guide readiness reviews
  • API, event, and document exchange design
  • Conformance and integration test planning
04

Specialty pharmacy and oncology

Design focused medication-access workflows where prescriptions, benefits, policies, clinical evidence, and case status must come together.

  • Referral and intake optimization
  • Benefits and authorization orchestration
  • Oncology evidence requirements
  • Case status and exception management
05

Healthcare AI product strategy

Move AI concepts toward safe, measurable products with explicit human review, auditability, and operational ownership.

  • Use-case and feasibility assessment
  • Human-in-the-loop workflow design
  • Evaluation and quality framework
  • Build, buy, and partner analysis
06

Prototype and pilot delivery

Build a narrow proof of value using real workflows and representative data, then measure what is needed for a production decision.

  • Rapid workflow prototypes
  • Data and integration discovery
  • Acceptance criteria and success metrics
  • Production transition plan

A focused path from ambiguity to action.

Discover

Understand the work

Interview stakeholders, inspect source systems and documents, and establish the real operational constraints.

Design

Make decisions explicit

Define the target workflow, data model, human review points, measures, and integration boundaries.

Deliver

Prove value quickly

Implement a bounded pilot, validate it with users, and produce a practical roadmap for scale.

Start with one workflow worth fixing.

Tell us where policy complexity, missing documentation, or manual coordination is slowing your team down.

Discuss your project