In today’s dynamic and rapidly evolving healthcare landscape, effectively managing risks is vital to ensuring positive patient outcomes and achieving operational excellence. Leveraging risk indicators derived from aggregated healthcare data across the industry and involving cross-functional teams are valuable components of the risk assessment process. However, the risk assessment approach that many organizations take often presents hurdles such as time-consuming interviews with executive leaders and staff; manual analyses of patient, business, and operational processes; and lack of critical subject-matter expertise. Numerous opportunities exist to improve on traditional risk assessment approaches and move toward a more innovative methodology designed to overcome these obstacles and revolutionize how risks are identified, analyzed, and mitigated.

After attending this webinar, you should be able to:

• Explain the benefits and challenges of the traditional risk assessment process
• Recognize the power of technology such as artificial intelligence (AI) and data analytics in risk assessments
• Describe the potential transformative results of a more innovative risk assessment process

Organizations have an opportunity to revolutionize how they identify and evaluate risks by using advanced data analytics and AI-driven financial and clinical data analyses. By harnessing the power of technology and subject-matter expertise from various domains such as patient care, regulatory compliance, and operations, it is possible to increase comprehensiveness, improve benchmarking capabilities, identify previously unseen risks, and access aggregated healthcare data. Join us to find out more.