RadOrderPad is clinical decision support infrastructure that finally solves the Appropriate Use Criteria implementation problem the industry has struggled with since 2014. It transforms radiology workflow from a weeks-long process into a 30-second transaction.

A board-certified hospitalist with 15 years of experience tested 1,200+ orders over seven months. Finding: 15% benefited from refinement—not due to clinical errors, but because appropriateness criteria evolve faster than any human can track. 

His words: "RadOrderPad is the most valuable safety net I've ever had in 15 years."

The problem exists at both ends of radiology workflow. Physicians order imaging without clinical guidance, creating compliance gaps and prior authorization denials. Radiologists return reports where 79% lack follow-up timing and 47% don't specify what imaging to order next. Nearly half of recommended follow-ups never happen.

RadOrderPad closes the entire loop. Real-time AUC guidance at point of order. Standardized, actionable recommendations from every radiology report. Self-scheduling that converts "follow up in 3-6 months" into a patient on the books.

Rather than building another product competing for screen real estate, RadOrderPad is integration infrastructure—an AI layer that embeds directly into existing EHR workflows. It deploys in days, scales with volume, and requires no workflow change. Compliance becomes invisible. Follow-through becomes automatic.

The right order goes in. The right follow-up comes out. The patient gets scheduled.

RadOrderPad

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