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A critical analysis on efficacy of clinical decision support systems in health care domain

机译:临床决策支持系统在卫生保健领域的疗效分析

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Clinical Practice guidelines strongly relies on evidence based medical literature. In Health care domain decision support systems are playing a competent role in diagnosis and treatment from multiple diseases. Among different Hospitals all over the world the Information technology domain emphasis key roles in improvement of patient health care to great extent. The Concept of Data Mining (DM) and Decision Support systems (DSS) in medical domain provides an efficient mechanism to extract the multiple records of patient treatment diagnostics from previously stored records in Data base (DB) or Data Ware House (DWH) and compare these guidelines to perform strong analysis that results in efficient decision making. Along the previously mentioned techniques the era of Telemedicine has also being developed that results in generation of multiple techniques in diagnosis of multiple diseases and health improvement using Mobile Health care systems specially worth full for the rural areas where latest medical facilities are unavailable at the point of need. The required information in Database or in Data Ware House might be the historical data of patient or the health based summery of different patients in diverse stages. Now these days the emergence of distributed decision support systems in health care domain covers the health care treatment procedures in more comprehensive manner including surgical procedures and radiological treatment. In this paper we are going to analyze the multiple health care diagnosis procedures and treatment techniques using various decision support systems designed and implemented by various researchers all over the world and compare the effectiveness and efficiency of each decision support system in health care domain. Our research study is also helpful for physicians and health care practioners in analyzing multiple scenarios related to interesting pattern recognitions and intelligent decision making.
机译:临床实践指南强烈依赖于循证医学文献。在卫生保健领域决策支持系统在诊断和治疗中发挥着态度的作用。在世界各地的不同医院中,信息技术领域强调在很大程度上改善患者保健的关键作用。医疗域中的数据挖掘(DM)和决策支持系统(DSS)的概念提供了一种有效的机制,可以从数据库(DB)或数据洁具房屋(DWH)中的先前存储的记录中提取患者治疗诊断的多个记录,并进行比较这些指导方针进行了强大的分析,导致有效的决策。沿前面提到的技术,远程尿布的时代也在开发出来,通过专门为农村地区的移动保健系统诊断多种疾病和健康改善的多种技术导致多种技术产生了多种技术,这些技术在目前需要。数据库或数据库中所需的信息可能是患者或不同患者的患者的历史数据或不同阶段的夏季夏季。现在,这些天卫生保健领域的分布式决策支持系统的出现以更全面的方式涵盖了医疗保健治疗程序,包括外科手术和放射治疗。在本文中,我们将使用各种研究人员设计和实施的各种决策支持系统分析多种医疗诊断程序和处理技术,并比较每个决策支持系统在医疗领域的效力和效率。我们的研究研究在分析与有趣的模式识别和智能决策相关的多种情况下,对医生和医疗保健员工也有助于分析多种情景。

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