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Clinical Decision Support and Care Navigation Automation

AI-enabled clinical decision support workflows for triage prioritization, preventive risk intervention, prior authorization automation, claims anomaly detection, and in-network referral steering.

The Problem

“Clinical Decision Support and Care Navigation Automation for Triage, Utilization, Claims Integrity, and Referral Steering”

Organizations face these key challenges:

1

Overcrowded emergency departments and inconsistent triage decisions

2

Missed opportunities to identify and intervene on rising-risk patients

3

Fax- and portal-based prior authorization workflows that break automation

4

Large claims volumes that overwhelm manual FWA review teams

5

Referral leakage due to poor visibility into network options and scheduling friction

6

Fragmented data across EHR, payer, claims, CRM, and scheduling systems

7

Need for explainability, audit trails, and human oversight in regulated workflows

Impact When Solved

Reduce emergency department triage variability and improve patient prioritizationIncrease outreach conversion for high-risk preventive interventionsCut prior authorization administrative effort and turnaround time via FHIR and CDS HooksImprove fraud, waste, and abuse detection precision and investigator throughputReduce referral leakage and increase in-network utilizationCreate auditable, explainable decision support aligned to clinical governance

The Shift

Before AI~85% Manual

Human Does

  • •Review every case manually
  • •Handle requests one by one
  • •Make decisions on each item
  • •Document and track progress

Automation

  • •Basic routing only
With AI~75% Automated

Human Does

  • •Review edge cases
  • •Final approvals
  • •Strategic oversight

AI Handles

  • •Automate routine processing
  • •Classify and route instantly
  • •Analyze at scale
  • •Operate 24/7

Real-World Use Cases

AI-based emergency department triage and prioritization

An AI system helps hospitals sort incoming patients faster by estimating who is most urgent and should be seen first.

Risk scoring and ranking for patient prioritizationemerging but clinically relevant; discussed as a deployed/proposed workflow in hospital triage settings, though source access is limited.
10.0

AI-supported preventive interventions

Uses AI to spot who may benefit from preventive care earlier, so providers can intervene before problems become serious and expensive.

risk prediction and intervention targetingemerging but actionable; the source directly cites preventive interventions as an ai-supported workflow.
10.0

FHIR-API and CDS Hooks integrated prior authorization automation in provider workflow

Payers connect their systems to provider EHRs so prior authorization requests, decisions, and coverage guidance move automatically inside the doctor’s normal workflow.

Workflow automation and decision support deliverynear-term infrastructure buildout driven by regulation
10.0

Referral leakage detection and in-network referral steering agent

An AI system watches referrals and, when a patient is likely to end up with an out-of-network provider, suggests and helps book a suitable in-network option instead.

Predictive risk scoring plus recommendation and workflow orchestrationproposed but implementation-ready workflow built around standard healthcare integrations and measurable kpis.
10.0

Anomaly detection on historical healthcare claims for FWA investigation

Use AI to scan insurance claims and flag unusual ones so investigators can focus on the most suspicious cases.

anomaly detectionprototype to early production candidate
9.5

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