Collecting data within a healthcare system is an important task that will help ncrease the quality of care, boost finances, and improve efficiency. The Healthcare Value Framework focuses on two goals: Increase revenues and reduce costs (Davenport & McNeill, 2014). The operational efficiency within the framework helps an organization achieved cost-saving ideas. "The challenge for analytics and IT is to move out and upward from its usual focus on its own operational efficiency to providing value to the big challenges of the business" (Davenport & McNeill, 2014). By focusing on costs, the organization can find ways to innovate its processes and function more proficiently. The Value Life Cycle "contains three phases: discovery-investing for impact; ealization-delivering for business outcome; and optimization-governing or ongoing performance" (Davenport & McNeill, 2014). The value optimization phase helps a company optimize its computer system. This phase helps demonstrate the value of the chosen system and how it will increase the employees' productivity. Within this phase, the healthcare organization can examine the pros and cons to help improve overall quality within the practice. These two options will help a business succeed and improve its overall patient satisfaction scores. Davenport, T., & McNeill, D. (2014). Analytics in healthcare and the life sciences: Strategies, implementation, methods, and best practices. Retrieved from https://content.ashford.edu