Historically, staffing in hospitals has been based on opinion and tradition, not evidence (Douglas, 2011). Nurse staffing should be based on total patient workload and must factor in admits, transfers, and discharges. Staffing should not be based solely on midnight patient census because it is not a true accounting of total nurse workload or patient need (Beswick, Hill, & Anderson, 2010). Historical methods of staffing such as NHPPD and nurse-patient ratio are outdated and do not provide the best means of ensuring patient safety and satisfaction, staff satisfaction and retention nor do they improve financial cost & reimbursement. Proposed solutions to the staffing conundrum have been debated for years; however conflicting research and study limitations have made selecting and implementing the best staffing approach difficult if not impossible for nurse managers. In addition, the significance of quality nursing care on patient safety, outcome, and cost savings has been misunderstood and undervalued for decades. This paper proposes that Health Information Technology (HIT) and electronic data mining, utilized in conjunction with the wisdom of expert nurses, have the potential to provide a new and more accurate method to ensure appropriate evidence based nurse staffing. Technology should be utilized fully to assist in assessing patient needs, expenditure of time to fulfill those needs, and the appropriate staffing to ensure safety, satisfaction, and financial viability of the healthcare institution. It is also imperative that understanding of the economic value of nursing be promoted and a model that calculates the direct cost of nursing care be created to bolster the argument of the positive financial impact of appropriate nurse staffing.