Supporting diagnostic and therapeutic decision-making
Data-based decision making is predicted to have substantial impact on value-based care. The Center for Medicare & Medicaid Services (CMS) is increasing its emphasis on the use of clinical decision support (CDS) tools, recognizing its role in reducing both care costs and improving care quality. Clinicians who have already adopted CDS systems tend to agree they can help significantly.1 Challenges that can be overcome by utilizing diagnostic and therapeutic decision support include, e.g., the reduction of inappropriate treatment plans for oncology2, a reduction of readmissions and of patient complications due to non-adherence to guidelines.3
Get a preview of decision support tools we will be demonstrating at HIMSS 2020. These tools can help provide access to relevant patient information, enable adherence to evidence-based guidelines, support risk stratification, or facilitate provider-patient discussions about appropriate care.
Supporting AI-powered decision-making will have substantial impact on the expansion of precision medicine.
Leveraging data integration and augmented intelligence technologies, the solution AI-Pathway Companion with its applications, aims to support teams of multidisciplinary experts to ease clinical and operational decisions. AI-Pathway Companion applications enable personalized and standardized patient management and offer process improvement insights through analysis of key performance indicators. The AI-Pathway Companion product suite helps in patient-centric clinical and operational decisions along disease-specific care pathways using augmented intelligence, data integration, and insights from cohort analytics.
The AI-Rad Companion, our family of AI-powered, cloud-based augmented workflow solutions, helps reduce the burden of basic repetitive tasks and may increase diagnostic precision when interpreting medical images. Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms and provide case-based decision support. The automation of routine workflows with repetitive tasks and high case volumes helps ease your daily workflows – so that providers can focus on more critical issues.
Medicalis Clinical Decision Support6
Up to 26% of all imaging is ordered incorrectly when placed without evidence-based standards.7 Our Medicalis Clinical Decision Support (CDS) is at the forefront of this development. Based on our knowledge and expertise acquired through more than 15 years of experience in this domain, our solution has been developed with an intuitive design, making it easy for your referring providers to request imaging consultations with evidence support to guide them through the entire process. With a focus on specific modalities, indications, and priority clinical areas for content delivery and by taking an evidence-based and targeted approach, providers can ensure referring physicians are ordering exams for cases where the potential for positive impact on patient care is high, thus increasing the quality of service and providing added value without discouraging the ordering physician.
The digitalization of healthcare can be advanced by utilizing syngo.via – an intelligent multi-modality imaging software. Powerful tools support actionable results that are accessible for better care. With the latest release, syngo.via streamlines the processes around reading and reporting. syngo.via unifies and centralizes intelligent tools in a powerful diagnostic workflow to make your routine tasks more convenient and efficient. It simplifies and speeds up diagnosis with one, consistent, AI powered workflow for routine. At the same time, syngo.via optimizes report creation by integrating established solutions with real-time findings transfer in partnership with Nuance and Cerner. The creation of actionable, structured imaging results and provision of more complete health records with this combined solution may strengthen the role of radiology in clinical care.
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