We thank Dr. Cakir for reading our article and taking the time to raise important issues, all of which we agree with. Her query of what is the best patient/hospitalist ratio and can/should our study results be generalized to community hospitalist programs are important. We believe the intervention we conducted, like many others conducted in academic centers, is not entirely generalizable, but the concepts are.Our article did not set out to determine what the optimum patient/physician ratio should be for any particular academic or community-based hospital setting. Dr. Cakir's question regarding the "centerspecific 'right' patient/hospitalist ratio" is the million dollar question. We believe that to better address this concern, it is important to include quality and value in the discussion. As defined by the Institute of Medicine, quality has the following subsets: timeliness, safety, effectiveness, efficiency, personalized, and equitable. 1 In terms of safety, data support that if a census exceeds 15 patients/provider, the frequency of rapid response team activations, readmission rates, or hospital mortality rates are not negatively impacted. 2,3 However, higher hospitalist workloads were associated with significant inefficiencies, and many of these inefficiencies negatively impact the organizational value chain. 2 As payment reform shifts from volume to value, it will become increasingly important for hospitalists to reframe their identity from relative value unit generators to value generators and use the following equations: quality 5 outcomes/waste (inefficiencies), and value 5 quality/cost. Therefore, whether we are academic or community-based hospitalists, one of the most impactful things we can do is to identify elements in our processes that are wasteful, and eliminate them. This means we need to routinely evaluate workloads of attending physicians. 4 If we believe in quality and value, we should do so in a way that seeks to maximize our efficiency, not just productivity. Programs should analyze local data to see what their workload versus outcome curves look like. 2 The right census will be the one in a given setting that maximizes patient outcomes, efficiency, and satisfaction of patients and clinicians. 2 Interestingly, our model improved all of these. 5 Essentially, "one size does not fit all." All health systems function differently as a result of varying organizational microsystems, missions and goals, resources, culture, and reward structure. 6 To be successful and sustainable, any proposed intervention must take into account these 5 elements and maintain their alignment. As either a pediatric or an internal medicine hospitalist, in a community or academic setting, we all function within a system that has models or processes, with functionalities that either enhance or reduce the effectiveness and/or efficiency of the services we render.The impetus that inspired our project was the organizational pain point of excess patient boarding time in the emergency department (ED) and lost referrals. Like man...