Pricing Simulator for AI-Based Diagnostic Decision Support

Creators: Kirchhoff, Jan and Berns, Fabian and Schieder, Christian and Schobel, Johannes
Title: Pricing Simulator for AI-Based Diagnostic Decision Support
Item Type: Conference or Workshop Item
Event Title: (Proceedings of the) 24th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH)
Event Location: Athens, Greece
Event Dates: July, 3-5, 2026
Projects: DigiHealth, PricingCDSS
Page Range: pp. 87-91
Paper No. / Type of Paper: / Kurzpaper
Additional Information: Open access
Date: 2026
Divisions: Gesundheitsmanagement
Abstract (ENG): Artificial intelligence is increasingly embedded in diagnostic decision support systems (DDSS), yet pricing and reimbursement remain heterogeneous and are often only weakly linked to diagnostic complexity, implementation burden, and recurring vendor costs. We present the methodological basis for PricingApp, a transparent pricing simulator for vendor–provider procurement decisions. The application combines a six-phase workflow with an AI-Score. The AI-Score is an unweighted sum of 20 equally weighted items grouped into four dimensions: data complexity, disease complexity, clinical question complexity, and degree of AI involvement. The total score (20–100) is mapped to low, medium, high, and very high complexity bands that parameterize complexity-sensitive pricing. Beyond complexity, the simulator captures market context, implementation effort, benefit measurability, AI inference-cost intensity, and cost structure. By making pricing assumptions explicit, testable, and auditable, the approach supports structured comparison of license/subscription, usage-based, hybrid, and pricing models based on the Diagnostic AI Contribution Score (DACS).
Forthcoming: No
Language: English
Uncontrolled Keywords: Diagnostic Decision Support Systems ; Artificial Intelligence ; Pricing Models ; Reimbursement ; Health Technology Assessment
Link eMedia: Download
Citation:

Kirchhoff, Jan and Berns, Fabian and Schieder, Christian and Schobel, Johannes (2026) Pricing Simulator for AI-Based Diagnostic Decision Support. In: (Proceedings of the) 24th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), July, 3-5, 2026, Athens, Greece, pp. 87-91, Paper / Kurzpaper. (Studies in Health Technology and Informatics; 338). ISBN 9781643686684

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