Non-Medical Equipment Based On The Use Of Radiations – Artificial Intelligence In Radiology (Ftb 4). As Part Of The Hospital Future Act, The Korbach City Hospital Is Implementing Funding Requirement 4 - Setting Up Partially Or Fully Automated Clinical Decision Support Systems. In Order To Meet Selected Criteria (See Appendix: Specifications) For Clinical Decision Support In Radiology, A Decision Support System Is Implemented That Is Supported By Artificial Intelligence And Provides Ai Applications Or Individual Applications. In The Following, The Term System Refers To The Software To Be Implemented For Clinical, Ai-Based Radiological Decision Support. The Korbach City Hospital Pursues The Goal Of Improving Diagnostic Decision-Making In Radiology With Regard To Image Evaluation And Diagnosis For The Modalities Computer Tomography (Ct), Magnetic Resonance Imaging (Mri) And X-Rays (Xr). A New, Modern And Process-Oriented Decision Support System Will Be Used To Increase Patient Safety. Depending On The Indication, The Necessary Digital Data Is Included In The Diagnostic Decision-Making Process In Radiology. Certain Requirements For The System Have Been Identified, Which Are Detailed In The Specifications. The System Supports Processes And Information In The Following Areas: - Structured Processing Of Clinical Patient Data - Evaluation, Assessment And Diagnosis Of Radiological Imaging - Guideline-Based Decision Support With Regard To Diagnosis And Therapy - Creation Of The Radiological Findings Report - Documentation Of The Decision-Making Process - Communication And Data Transfer With The Leading His And Ris The Software Solution To Be Implemented For Clinical Decision Support In Radiology Must Necessarily Meet The Selected Must Criteria Of Khzg Funding Item 4 (§ 19 Para. 1 Sentence 1 No. 4 Khsfv). The Ultimate Goal According To The Khzg Is A Media-Free Implementation And Seamless Data Transfer To Existing Systems With High Standards In Terms Of Interoperability And Connectivity.
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