Designing a Data-Forward Digital Enterprise

Artificial intelligence (AI) and machine learning (ML) have been constrained by data quality and completeness, insufficient algorithms, AI bias, and lack of data standards and oversight, all further complicated by the sheer complexity of healthcare. Yet, AI and ML in action have made tremendous strides in addressing day-to-day operations, provider burnout, and overall improvements in efficiency and outcomes. As AI becomes more commonplace, it will create a cohesive, interconnected ecosystem for the patient and a valuable asset to health delivery systems. Join this session as leading experts discuss the ongoing process, technical innovations, and measurable value of using data and AI to create sustainable and substantial digital transformation within the health system.