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03/06/26

Pricing models for diagnostic AI based on qualitative insights from healthcare decision makers.

Kirchhoff, Jan; Berns, Fabian; Schieder, Christian; Schobel, Johannes. NPJ Digital Med.

Collection Topics
AI and Diagnosis Business Case for Excellence Culture, Work System, and Implementation
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Summary

AI-driven diagnostic support systems can boost accuracy and efficiency, but opaque, usage-based pricing hinders adoption. This European interview study explores ways to make pricing clearer and more predictable, considering technical and organizational factors. Ten themes reveal resistance to usage-based pricing and a desire for transparency. The authors offer design principles and recommendations for pricing models that support procurement, reimbursement, and scaling.

Read the paper
Kirchhoff J, Berns F, Schieder C, et al. Pricing models for diagnostic AI based on qualitative insights from healthcare decision makers. NPJ Digit Med. 2026;9(1):231.