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A Unified, Clinician-Focused 'Packets-to-Patients' Measurement Approach for Meaningful and Usable Electronic Health Records

机译:一个统一的,临床医生的集中的“数据包 - 患者”测量方法,用于有意义和可用的电子健康记录

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In most medical facilities, the systems, software, and data that support clinical and business operations have been developed independently and in isolation. This makes it difficult for the systems to efficiently and effectively access the data and metrics needed to improve clinical processes, achieve desired patient outcomes, or make informed business decisions. Furthermore, determining the benefit of current or proposed clinical processes or business practices from these systems is often inefficient and ad hoc, even though the data required is available within these systems. In response to this, we have developed a unified "Packets-to-Patients" approach to measuring key elements of the clinical, business, and technical operations of the medical enterprise. From these elements we derive benefits that are validated as meaningful within those domains. Our approach automatically and efficiently collects data that establishes whether the stages of Electronic Health Record (EHR) Meaningful Use criteria are being met. It also measures EHR adoption rates, clinical benefits like quality of care and patient safety, and business benefits like decreased length of stay and improved workflow efficiency. Our analytical approach has been field-tested and proven through nearly three years of development. This methodology has measured baseline system performance at several medical treatment facilities and also provided those organizations with an in-depth understanding of how health Information Technology (health IT) performance impacts clinical and business operations. More importantly, our approach has enabled rigorous analysis and fact-based decision-making on how best to integrate health IT into clinical operations. Most importantly, this approach allows health care delivery organizations to design a business case based on hard data and increases the likelihood of success in adopting and optimizing health IT.
机译:在大多数医疗设施,支持临床和业务运营的系统,软件和数据中都是独立的,孤立的开发。这使得系统难以有效和有效地访问改善临床过程所需的数据和指标,实现所需的患者结果,或者提供知情的商业决策。此外,确定当前或提出的临床过程或来自这些系统的商业实践的好处通常是低效的,并且即使在这些系统中所需的数据可用。为此,我们已经制定了统一的“数据包,对患者”方法来测量医疗企业的临床,业务和技术运营的关键要素。从这些元素来看,我们可以获得在这些域内验证有意义的福利。我们的方法自动和有效地收集数据,该数据是在满足电子健康记录(EHR)有意义的使用标准的情况下是否满足的数据。它还衡量EHR采用率,临床益处,如护理和患者安全的质量,以及商业益处,如减少的逗留时间和改善的工作流程效率。我们的分析方法经过现场测试和经过验证的近三年的发展。该方法在几种医疗设施中测量了基线系统性能,并提供了这些组织,深入了解健康信息技术(卫生)性能如何影响临床和业务运营。更重要的是,我们的方法使基于严格的分析和基于事实的决策,了解如何最好地将健康整合到临床操作中。最重要的是,这种方法允许医疗送货组织根据硬数据设计业务案例,并提高成功的可能性,并优化健康。

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