Establish a standard of care for the ordering of advanced imaging across the enterprise; curb variation by benchmarking the performance of ordering providers.
Help ensure accurate indication selection by using artificial intelligence to predict the most relevant indications based on patient data, provider specialty, and care setting.
Promote order appropriateness using radiology appropriateness criteria that aligns with quality and safety programs; reduce low-utility ordering and increase diagnostic efficiencies.
Deliver evidence-based standards at the point of order to guide decision making and improve order appropriateness.
Automatically validate imaging orders based on extracted clinical data; limit interruptions to the provider workflow by flagging only potentially inappropriate orders.
Help ensure compliance with national legislation, including the Protecting Access to Medicare Act (PAMA); rely on our fully qualified CDSM with comprehensive appropriate use criteria from leading qPLEs.
Validate Order Appropriateness Within Your Workflow
Leverage Society-Authored Criteria and Powerful Analytics
Rely on evidence-based guidelines developed by reputable specialty societies, including the American College of Radiology (ACRselect®), to ensure coverage across the enterprise.
Target specialty ordering for oncology, cardiology, and pediatrics with content from the American College of Cardiology, the National Comprehensive Cancer Network, the Society of Nuclear Medicine and Molecular Imaging, and the Society for Pediatric Radiology.
Measure provider ordering behavior against clinical standards to benchmark utilization patterns and identify waste. Determine areas of practice variation across providers, departments, and services.
Improve Indication Selection Workflow With Integrated AI
CareSelect™ Imaging integrates with your EHR workflow and uses advanced data extraction techniques, including natural language processing and machine learning, to ensure accurate, reliable guideline delivery.
Use AI to improve your indication selection workflow in the EHR. Display AI-predicted indications with relevant appropriate use criteria (AUC) feedback in an interactive workflow, simplifying the user experience.
Help improve quality of care by relying on AI analysis of encounter data. AI learns from a growing transaction registry of more than 75 million radiology decision support sessions.
Support Compliance With Open Access to CDS Tools
CareSelect™ Imaging Open Access provides complimentary access to the CDS tools needed to facilitate compliance with PAMA.
Help providers without integrated decision support to meet PAMA requirements. Providers can consult criteria through a standalone web portal to validate order appropriateness against the latest clinical standards.
Deliver actionable feedback, including an appropriateness score and alternative exam choices when applicable. Transmit AUC consultation information downstream for compliance and billing.
Discover why Change Healthcare has been awarded Frost & Sullivan’s North America 2021 Customer Value Leadership Award in the clinical-decision support-system industry. The award recognizes firms at the forefront of innovation and growth in their industries.