{"id":5978,"date":"2025-11-12T11:34:27","date_gmt":"2025-11-12T00:34:27","guid":{"rendered":"https:\/\/harrison.ai\/?p=5978"},"modified":"2026-02-23T20:17:55","modified_gmt":"2026-02-23T09:17:55","slug":"making-the-business-case-harrison-ai-value-calculator","status":"publish","type":"post","link":"https:\/\/harrison.ai\/making-the-business-case-harrison-ai-value-calculator\/","title":{"rendered":"Making the Business Case for AI in Radiology: Inside the Harrison.ai Value Calculator"},"content":{"rendered":"
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When radiology leaders consider AI, the clinical benefits are often clear long before the financial ones. Backlogs, burnout, delayed diagnoses and rising outsourcing costs all point toward the need for better workflows – yet boards and CFOs want more than intuition. They want numbers. They want a defensible return on investment.<\/p>\n

That\u2019s exactly why we sat down with Dr. Mark Phillips, Chief Clinical Officer, and Caitlin Thompson, Regional Director for ANZ, at Launch Day 2025 to unveil the Harrison.ai Value Calculator – our new tool designed to translate clinical outcomes into economic impact. The conversation below dives into how it works in practice and why it\u2019s already becoming a cornerstone of our partnerships with healthcare providers.<\/p>\n

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Demo the Value Calculator.<\/h2>
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When the Clinical Case Isn\u2019t Enough<\/strong><\/p>\n

A few months ago, a large radiology group processing 150,000 chest X-rays and 35,000 CT brain studies annually, came to Harrison.ai with a familiar challenge. As Caitlin explained:<\/p>\n

\u201cTheir backlogs were rising and their outsourcing costs were climbing, and their clinical team was convinced that AI could help them solve both issues. The problem was they didn’t know how to justify the technology investment to their board.\u201d<\/p>\n

\u201cThis is a common story in healthcare, even when the clinical case is strong,\u201d Caitlin added. \u201cClinical teams understand the value, but CFOs, boards, payers, they need numbers. They need a value analysis, and they need a defensible business case.\u201d<\/p>\n

That\u2019s where the Harrison.ai Value Calculator comes in.<\/p>\n

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Built on Real Deployments and Real Outcomes<\/strong><\/p>\n

To tackle this challenge, the team brought forward a capability shaped by years of real-world deployments and measured outcomes. Mark introduced it clearly, \u201cThe Harrison.ai Value Calculator. This tool is built from years of partnering with healthcare organisations that actually measure health impact. Real deployments, real data, real results.\u201d<\/p>\n

The process begins by grounding the model entirely in the organisation\u2019s own operational metrics – an approach that avoids assumptions and keeps the analysis anchored in reality. As Mark explained, \u201cFirst, we collect data from you – key metrics that drive your operations: annual scan volumes by modality, current outsourcing numbers, average reporting times, your patient demographics, and reimbursement rates.\u201d<\/p>\n

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For this radiology group, those numbers surfaced the underlying strain almost immediately; they were outsourcing 50% of their CT brain volume and had a significant backlog problem.<\/p>\n

With this operational picture established, the calculator then incorporates real-world evidence from comparable deployments. As Mark explained, \u201cWe combine this with industry benchmarks and demonstrable results that we’ve seen in similar organisations who’ve deployed Harrison.ai.\u201d<\/p>\n

Together, these layers create a coherent, organisation-specific model, grounded in evidence and built to clearly demonstrate the economic value of AI in driving clinical improvements.<\/p>\n

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