Illustrative workflow ยท Order Helper demonstration

Structuring PET/CT order context for professional review.

A design study showing how structured prompts may help identify incomplete PET/CT order context before downstream review. It is not a clinical study, and no reduction in denials, delays, or rework has been measured.

Understand Order Helper Back to Case Studies
Problem Incomplete or inconsistent PET/CT orders can trigger clarification loops, authorization delays, and payer denials.
Design approach The Order Helper demonstration organizes indication, modality, region, and context for professional review.
Direction Future approved evaluation could measure rework, completeness, and timing without treating a prototype as evidence.
Executive Summary

Why this case matters

PET/CT ordering is not just a form entry task. It sits at the intersection of clinical intent, cancer history, payer rules, modality protocols, documentation, scheduling, and patient access. When the order language is unclear or mismatched, the downstream effect is predictable: phone calls, rework, prior authorization delays, rescheduling, and sometimes denial.

OraDigit is exploring whether structured workflow prompts can help a reviewer notice missing context earlier. The public Order Helper is a demonstration, not evidence that an order is clinically appropriate or ready for authorization.

The workflow challenge

  • Free-text indications are often incomplete or inconsistent.
  • Ordering intent may not match the requested imaging study.
  • Schedulers and imaging teams spend time clarifying orders.
  • Payer documentation may not show medical necessity clearly.
  • Patients can experience delays before imaging is completed.

OraDigit design goals

  • Explore order-context completeness before submission.
  • Define how clarification work could be measured.
  • Support PET/CT, CT, and MRI workflow logic.
  • Generate editable indication-context text for review.
  • Keep human review in control of final clinical decisions.

How the workflow works

  1. The user selects modality, region, clinical context, and condition.
  2. Order Helper uses structured rules to adapt available options.
  3. The system generates an editable clinical indication.
  4. Order guidance can help clarify missing or weak documentation.
  5. The user reviews, copies, exports, or sends the improved order text into the next workflow.
OraDigit does not replace clinical judgment. The system supports workflow quality, documentation clarity, and operational consistency.

Connected OraDigit product

This study connects to the Order Helper demonstration, which explores structured imaging-order context while keeping professional review responsible for clinical and payer decisions.

Future versions can integrate payer-specific rules, audit trails, EMR-ready export, and utilization analytics.

Future validation measures

  • Order completeness rate
  • Prior authorization rework rate
  • Clarification call volume
  • Initial denial rate
  • Time from order to scheduled scan
  • User confidence and usability feedback

Current status

Demonstration. Order Helper supports structured exploration with synthetic or non-identifying information. Clinical validation, operational outcome evidence, and production readiness have not been established.

Future document area

This section can later include reviewed case-study documents, evaluation summaries, workflow diagrams, implementation notes, and performance reports.

  • PDF case summary
  • Before / after workflow diagram
  • Evaluation metric report
  • Implementation checklist

Next development path

The next step is a separately approved evaluation design that defines governance, privacy, comparison measures, and human oversight before collecting outcome data.

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