Utilizing Health Informatics as a Means of Assisting in Eliminating Health Disparities in Diverse Populations and Improving Health Care Quality

Queen E. Enahoro
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Abstract

Purpose: Health informatics is the process of collecting, analyzing, and managing health data, as well as applying medical principles in combination with information technology systems to help doctors provide better treatment. Health informatics has however been faced with quite a number of challenges over the past time. Methodology: Overall Patient care and Satisfaction are important methods to measure success in the healthcare industry. This statistic is critical for verifying that present methods and procedures are effective and identifying those that are not and should be changed accordingly. Findings: It is often defined as the achievement of care goals from both a provider and a patient perspective. Measuring patient outcomes yields vast data sets that can be utilized to enhance outcomes in a variety of ways. In this process, health informatics can play a crucial role. Unique Contribution to Theory, Practice and Policy: In the pursuit of improving patient outcomes, professionals may utilize data to detect at-risk patients, streamline procedures, boost productivity, and support research by appropriately gathering, analyzing, and using these figures.
利用健康信息学协助消除不同人群的健康差异并提高医疗质量
目的:健康信息学是收集、分析和管理健康数据的过程,也是将医学原理与信息技术系统相结合,帮助医生提供更好治疗的过程。然而,在过去的一段时间里,卫生信息学面临着不少挑战。 方法:患者总体护理和满意度是衡量医疗保健行业成功与否的重要方法。这一统计数据对于验证现有的方法和程序是否有效,以及找出那些无效的方法和程序并做出相应改变至关重要。 调查结果:患者满意度通常被定义为从医疗服务提供者和患者的角度来看医疗服务目标的实现情况。对患者疗效的衡量可产生大量数据集,可用于以各种方式提高疗效。在这一过程中,医疗信息学可以发挥至关重要的作用。 对理论、实践和政策的独特贡献:在追求改善患者疗效的过程中,专业人员可利用数据检测高危患者、简化程序、提高生产率,并通过适当地收集、分析和使用这些数据来支持研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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