Medical Software Package – Introduction To Radiological Clinical Decision Support System. As Part Of The Advancing Digitalization Of The Healthcare System, The Clients Are Purchasing A Radiological Clinical Decision Support System (Cdss) Based On The Hospital Future Act (Khzg). The Cdss Will Meet The Requirements Of Funding Act 4 (Ftb4) Of The Khzg And The Eu Medical Devices Regulation (Mdr) And Support Clinical Decision-Making By Analyzing Extensive Health Data. The Aim Is To Maximize The Medical Benefits For Patients While Complying With Legal Requirements. The Cloud-Based Cdss Provides Trained Ai Algorithms That Are Able To Consistently Recognize The Finest Details In Images Or Image Series. By Using Such Algorithms In Parallel, The Risk Of Human Error Can Be Reduced. For Example, The Detection Of Acute Or Incidental Pulmonary Artery Embolisms Using Ai Is Faster And, Especially In Ct Examinations For Other Purposes, Safer Than Human Diagnosis Alone. Due To The Generally Very Fast Processing Time, The Time Between Image Acquisition And Diagnosis Can Be Shortened, As The Ai Algorithm Can Detect Abnormalities Reliably And Quickly. Ai-Based Assistance Systems Therefore Actively Contribute To The Prioritization Of Critical Cases. Examinations With Relevant Abnormalities Can Be Prioritized In The Diagnosis, Which Is Particularly Advantageous In Emergency Situations Or When There Is A High Workload. Particularly In The Case Of Acute Vascular Occlusions Of The Vessels Supplying The Brain Or Intracranial Hemorrhages, Early Detection And Classification By Ai Can Have A Decisive Influence On The Speed Of Diagnosis And Treatment.
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