Purpose

Capture, consumption and use of person-centred information presents challenges for hospitals when operating within the scope of limited resources and the push for organisational routines and efficiencies. This paper explores these challenges for patients with Acute Coronary Syndrome (ACS) and the examination of information that supports successful hospital discharge. It aims to determine how the likelihood of readmission may be prevented through the capturing of rich, person-specific information during in-patient care to improve the process for discharge to home.

Design/methodology/approach

The authors combine four research data collection and analysis techniques: one, an analysis of the patient record; two, semi-structured longitudinal interviews; three, an analysis of the patient's journey using process mining to provide analytics about the discharge process, and four, a focus group with nurses to validate and confirm our findings.

Findings

The authors’ contribution is to show that information systems which support discharge need to consider models focused on individual patient stressors. The authors find that current discharge information capture does not provide the required person-centred information to support a successful discharge. Data indicate that rich, detailed information about the person acquired through additional nursing assessments are required to complement data provided about the patient's journey in order to support the patients’ post-discharge recovery at home.

Originality/value

Prior research has focused on information collection constrained by pre-determined limitations and barriers of system design. This work has not considered the information provided by multiple sources during the whole patient journey as a mechanism to reshape the discharge process to become more person-centred. Using a novel combination of research techniques and theory, the authors have shown that patient information collected through multiple channels across the patient care journey may significantly extend the quality of patient care beyond hospital discharge. Although not assessed in this study, rich, person-centred discharge information may also decrease the likelihood of patient readmission.

中文翻译：

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捕捉丰富的以人为本的出院信息：探索开发新模式的挑战

目的

当医院在有限的资源范围内运营并推动组织例行程序和效率时，以人为本的信息的获取、消费和使用给医院带来了挑战。本文探讨了急性冠状动脉综合征 (ACS) 患者面临的这些挑战以及支持成功出院的信息的检查。它旨在确定如何通过在住院治疗期间捕获丰富的、特定于个人的信息来防止再入院的可能性，以改进出院回家的过程。

设计/方法/方法

作者结合了四种研究数据收集和分析技术：一，病历分析；二、半结构化纵向访谈；第三，使用过程挖掘对患者的旅程进行分析，以提供有关出院过程的分析，以及第四，由护士组成的焦点小组来验证和确认我们的发现。

发现

作者的贡献是表明支持出院的信息系统需要考虑关注个体患者压力源的模型。作者发现当前的出院信息捕获并没有提供支持成功出院所需的以人为本的信息。数据表明，需要通过额外的护理评估获得有关此人的丰富、详细的信息，以补充提供的有关患者旅程的数据，以支持患者出院后在家中的康复。

原创性/价值

先前的研究集中在受系统设计的预定限制和障碍约束的信息收集上。这项工作没有考虑将整个患者旅程中多个来源提供的信息作为一种机制来重塑出院过程，使其更加以人为本。作者使用研究技术和理论的新组合，表明在患者护理过程中通过多种渠道收集的患者信息可能会显着提高患者出院后的护理质量。尽管本研究未进行评估，但丰富的、以人为本的出院信息也可能会降低患者再入院的可能性。