How metrics and analytics might be applied

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Reference no: EM133142896

Regional Hospital is a 500-bed hospital and several associated clinics in a major East Coast metropolitan area. It has been an aggressive adopter of computing technologies in efforts to decrease costs and improve operational efficiencies. A critical challenge facing the hospital is meeting its ongoing challenges to staff the hospital and allied clinics effectively, given the ongoing shortage of nurses; uncertainty in health care legislation; emphasis on shortening hospital stays to reduce costs, which causes the daily census (numbers of patients in various departments) to vary dramatically from day to day and shift to shift; the continued aging of the population in its primary care area; and the unending competition for employees with key skill sets. Employee expenses represent more than 80% of the overall costs of operation for the hospital, so identifying ways to match optimal skills and numbers of employees to the appropriate shifts is critical to achieving consistent success. However, individual shift managers struggle to make effective staffing decisions, resulting in consistent overstaffing or understaffing of shifts and departments. These staffing problems potentially increase the high costs of varied levels of patient care and satisfaction and potentially increase the risk that staff turnover may escalate because of dissatisfaction with the continuing inability of managers to match staffing needs to demand. Company managers recognize the potential that HR metrics and analytics might have for their organization, and they have come to you for help. They are hearing from their peers in other hospitals that metrics can help in this area but are not quite sure where to start. They are looking for you to offer guidance on how to do HR metrics and workforce analytics.

Case Study Questions

1. Do you believe that a program of HR metrics and workforce analytics might be useful in Regional Hospital? If so, why?

2. What opportunities do you see regarding where and how metrics and analytics might be applied in this organization

Reference no: EM133142896

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