Pune, July 08, 2024 (GLOBE NEWSWIRE) -- Advancements in Artificial Intelligence (AI)-driven Clinical Decision Support Systems (CDSS) leverage novel capabilities such as mining for patterns, prediction analytics and personalized treatment suggestions. But the critical obstacle is still the explainability of AI decisions. Doctors have to trust these systems and tune them for desired results, which is only possible if they know the AI's line of thought.
AI notwithstanding, there is a wealth of empirical evidence that supports the advantages CDSS offer. The studies of Zhu et al. suggested a large increase in diagnostic accuracy, here it has the potential to reach 87.
53% by focusing on the top three diagnoses offered by system. Moreover, CDSS can translate into shorter hospitalisation times, which could ultimately save the healthcare institution money. AI-based CDSS is also particularly useful in the context of with the using systems that can process large patient data sets including medical history and genetic profiles in order to generate personalized treatment strategies.
This may lead to more successful treatments as well as reduced risk of adverse drug reactions. Regulatory landscape is also partially fuelling the growth of clinical decision support systems market. The regulations being enforced by the governments to ensure patient safety, data interoperability and quality care all across.
By implementing CDSS healthcare organizations can stay compliant with these standards a.