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Can Informatics Drive Clinical Quality Improvements Alongside Operational Improvements in Cancer Care?

Ihealthtran

Due to the complexity of the disease biology, rapidly increasing treatment options, patient mobility, multi-disciplinary care teams, and high costs of treatment - informatics can play a more substantial role in improving outcomes and reducing the cost of cancer care. In this webinar, we will review how tumor board solutions, precision medicine frameworks, and oncology pathways are being used within clinical quality programs as well as understanding their role in driving operational improvements and increasing patient retention. We will demonstrate the requirements around both interoperability and the clinical depth needed to ensure adoption and effective capture and use of information to accomplish these goals.
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Spotlight

Medical Imaging in the Age of Artificial Intelligence

AI will not by any means replace radiologists – rather it will provide them with tools to meet the rising demand for diagnostic imaging and actively shape the transformation of radiology into a data-driven research discipline. AI algorithms are expected to help speed up clinical workflows, prevent diagnostic errors and reduce missed billing opportunities, thus enabling sustained productivity increases. Above all, methods of artificial intelligence could lead to more precise results and more meaningful prognostic risk scores, and integrate diagnostic radiology even more into outcome-oriented clinical decision-making

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Medical Imaging in the Age of Artificial Intelligence

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