CDS Technology: A Modern Approach to Patient Safety

Clinical Decision Support (CDS) technology is becoming increasingly common among healthcare provider organizations. CDS tools help meet health care quality standards, achieve security, and ensure efficiency.

FREMONT, CA: The rapid increase in artificial intelligence (AI) and machine learning in clinical decision support instruments has created enthusiasm about providers' ability to revolutionize diagnostics, including pathology, radiology, and imaging. CDS technology specialists give a range of views on where the tools are headed and how health care provider organizations should prepare for tomorrow's tools, and the next generation of innovations will be tasked with offering new methods of providing more guidance and sound advice.

Clinical and IT hospital leaders embrace a consistent implementation of AI-driven analytical instruments in hospital teaching and academic medical centers. These tools will transform human clinician levels of ability, diagnostic decision-making, prescription drug support, integrate clinical decision support into EHR workflows, clinical goals and priorities, and trust the accuracy and reliability of the underlying data. Some experts are thinking about the evolution of technology supporting clinical decision making in terms of what needs to be done in the short, mid, and long term. Some things can be achieved right now, while others are going to take a little longer. To date, support for clinical decision-making has often been a by-product of meaningful use demands and met with differing degrees of achievement.

It is time to incorporate content as healthcare moves into the next stage of clinical decision support. Healthcare is nearing an inflection point with sophisticated clinical decision support tools. And AI will play an exciting part in the future of technology to promote clinical decision-making, she added. Throughout the continuum of care, physicians, pharmacists, nurses and other care providers will be able to tap AI as a resource with the ability to evaluate EHR patient information to inform and assist clinical decision making.

Support for clinical decision-making by radiologists will help enhance adherence to rules for monitoring these incidental findings. It will assist in decreasing the variability in suggestions for follow-up and decreasing unnecessary imaging studies. It is critical to have these rules at the point of care.

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