The increasing focus on effective population health management is prompting healthcare organizations to adopt next-generation clinical decision support tools that drive growth. Healthcare systems continue to face significant clinical quality and efficiency challenges, leading to a heightened focus on implementing clinical decision support systems (CDSS). These tools facilitate early diagnosis and timely, precise clinical interventions in both hospital and home-based healthcare settings. They also help prevent complications in patient conditions, thereby reducing the need for costly interventions such as hospital readmissions and ICU admissions.

• How can you leverage technological advancements in machine learning, generative AI, and conversational AI to boost ongoing innovation in CDSS solutions?
• What are the emerging avenues of growth for application segments, namely, decision evidence/protocols, decision workflow, decision analytics, and decision delivery?
• What are the significant opportunities emerging from the key transformations in this space for stakeholders to leverage?