Artificial Intelligence

Growth Opportunities Arising due to the Use of Commercial AI Models in Radiology

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New York, Aug. 23, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Growth Opportunities Arising due to the Use of Commercial AI Models in Radiology” – https://www.reportlinker.com/p06130381/?utm_source=GNW
The rapid proliferation of medical imaging AI companies has led to the availability of a plethora of solutions in the market; however, hospitals are not able to access these solutions (and vice versa).

The launch of platforms and marketplaces by imaging original equipment manufacturers (OEMs) and others has paved the way for new distribution channels and commercial models. The software-as-a-service (SaaS) marketplace (mainly cloud-based) is meant to simplify medical imaging providers’ access to various independent software vendors’ applications without having to contract and engage individually with each vendor.Owing to the shift from fee-for-service models to value-based reimbursement, intrinsic factors that drive adoption (improved sensitivity and specificity and reduced reporting and interpretation time) will become less important to end users. AI vendors should design their solutions and their pricing strategies to align with the value delivered in the overall care pathway. Predictive solutions and the identification of new protocol or indications for imaging will decrease readmissions and enable optimum resource utilization (equipment, manpower, and financial) and align with the goals of value-based care. As pressure on radiologists increases due to high scan volumes and complex cases, vendors should focus on condition-based packages that can be integrated with operational processes. Vendors can offer comprehensive condition-specific packages by partnering with OEM platforms or marketplace to decrease the cost of sale, improve market access, and benefit from new pricing models and integration facilities.
Read the full report: https://www.reportlinker.com/p06130381/?utm_source=GNW

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