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Clinical Decision Support: Leveraging Technology to Drive Outcomes and Efficiencies

Best practices for clinical decision support

Enhanced clinical decision support systems (CDSSs) are becoming a critical part of the healthcare information technology landscape, enabling faster decision-making, enhancing efficiencies, and improving patient outcomes. Artificial Intelligence (AI) and Machine Learning (ML) are transforming CDSSs, from burdensome platforms offering alerts that may not have value to intelligent workflows, supporting best practices based on relevant patient history in real time.

In collaboration with Altera Digital Health

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Key findings

Enhanced CDSSs enables high-quality, low-cost care by supporting evidence-based care delivery, improving patient safety, and reducing redundancies in care.

CDSSs must work around clinician workflow, rather than requiring clinicians to adjust their workflow around the solution.

AI and ML can identify and address biases in patient data and avoid further exacerbating disparities and inequities in care.

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Explore innovations in cloud-based clinical surveillance systems and how to unlock the value of data, driving efficiencies in workflow and operations in provider organizations.

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