通过应用主动措施提高医疗保健价值:业务分析和智能的作用

IF 0.4 Q4 HEALTH CARE SCIENCES & SERVICES International Journal of Healthcare Technology and Management Pub Date : 2018-01-01 DOI:10.1504/IJHTM.2018.10019836
N. Wickramasinghe, J. Schaffer
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引用次数: 2

摘要

医疗保健是数据最丰富和数据生成最多的行业之一。然而,这些数据往往是不连续的、不完整的、缺乏标准化的,甚至是错误的和不可用的。医疗机构面临越来越大的压力,需要以更低的成本改善健康结果,从而提供更高的价值。为了应对这些挑战,业务分析和智能(BA/BI)是关键的战略工具,用于系统地分析大量看似不同的医疗保健数据集,并通过数据驱动的决策制定提高医疗保健的整体绩效。对于急性和慢性肿瘤治疗过程,由于人口数量和年龄的增加,成本不断上升,过程越来越复杂,这些压力正在增加。考虑到这些提高医疗保健价值的压力,本研究提出了一个系统框架,用于在澳大利亚墨尔本最大的三级医院之一应用商业分析,以寻求优化医疗保健。
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Enhancing healthcare value by applying proactive measures: the role for business analytics and intelligence
Healthcare is one of the most data rich and data generating industries. Yet, these data tend to be discontinuous, incomplete, lacking standardisation, or even erroneous and unusable. Pressure is increasing for healthcare organisations to provide increased value by improving health outcomes at a lower cost. In order to address these challenges, business analytics and intelligence (BA/BI) are critical strategic tools used to methodically analyse the wealth of seemingly disparate healthcare data sets and provide enhancement of healthcare's overall performance through data driven decision making. For acute and chronic oncology care processes, these pressures are mounting given the rising costs and increasingly complicated processes under the rising numbers and ages of the population. Given these pressures to improve healthcare value, this study proposes a systematic framework for the application of business analytics at one of the largest tertiary hospitals in Melbourne, Australia, in the quest for optimising healthcare.
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来源期刊
CiteScore
1.00
自引率
10.00%
发文量
10
期刊介绍: IJHTM is a new series emerging from the International Journal of Technology Management. It provides an international forum and refereed authoritative sources of information in the fields of management, economics and the management of technology in healthcare.
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