从历史上看,人力资源在医院已经根据意见和传统,没有证据(道格拉斯,2011)。护理人员应基于总耐心的工作负载和承认的必须因素,转移和排放。午夜人员不应该仅仅基于病人的人口普查,因为它不是一个真正的会计总护士工作负载或病人的需要(比斯维克希尔,&安德森,2010)。历史方法,员工如NHPPD和护比过时的,不提供确保患者安全的最佳手段和满意度,员工满意度和保留他们也不改善财务成本和报销。提出解决招聘难题已讨论多年,然而冲突的研究和研究局限性做出了选择和实现最好的护士人力资源方法困难,如果不是不可能经理。此外,患者安全护理质量的重要性,结果,和节约成本几十年来一直误解和被低估的。提出健康信息技术(打击)和电子数据挖掘、利用与专家的智慧,护士,有可能提供一种新的和更精确的方法,以确保适当的循证护理人员。技术应该协助评估病人的需求,充分利用支出的时间来满足这些需求,和适当的人员,以确保安全、满意度、医疗机构的财务可行性。也必须理解护理被提升的经济价值和直接成本的模型,计算护理支持创建积极的财务影响的参数适当的护理人员。
澳洲历史论文代写:人力资源
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 Historical methods of staffing such as NHPPD and nurse-patient ratio are outdated and do not provide the best means of ensuring patient safety and satisfaction, staff satisfaction and retention nor do they improve financial cost &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.
