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[重症医学中患者数据管理系统的功能要求]

[Functional requirements of patient data management systems in intensive care medicine].

作者信息

Riessen Reimer, Kumpf Oliver, Auer Patrick, Kudlacek Florian, Röhrig Rainer, von Dincklage Falk

机构信息

Internistische Intensivstation, Abteilung für Innere Medizin, Universitätsklinikum Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Deutschland.

Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member der Freien Universität Berlin und Humboldt-Universität zu Berlin, Berlin, Deutschland.

出版信息

Med Klin Intensivmed Notfmed. 2024 Apr;119(3):171-180. doi: 10.1007/s00063-023-01097-6. Epub 2023 Dec 13.

DOI:10.1007/s00063-023-01097-6
PMID:38091029
Abstract

BACKGROUND

As part of the German government's digitization initiative, the paper-based documentation that is still present in many intensive care units is to be replaced by digital patient data management systems (PDMS). In order to simplify the implementation of such systems, standards for basic functionalities that should be part of basic configurations of PDMS would be of great value.

PURPOSE

This paper describes functional requirements for PDMS in several categories.

METHODS

Criteria for standardized data documentation were defined by the authors and derived functional requirements were classified into two priority categories.

RESULTS

Overall, general technical requirements, functionalities for intensive care patient care, and additional functionalities for PDMS were defined and prioritized.

DISCUSSION

Using this paper as a starting point for a discussion about basic functionalities of PDMS, it is planned to develop and obtain consensus on definitive standards with representatives from medical societies, medical informatics and PDMS manufacture.

摘要

背景

作为德国政府数字化倡议的一部分,许多重症监护病房中仍存在的纸质文档将被数字患者数据管理系统(PDMS)取代。为了简化此类系统的实施,作为PDMS基本配置一部分的基本功能标准将具有重要价值。

目的

本文描述了PDMS在几个类别中的功能要求。

方法

作者定义了标准化数据文档的标准,并将导出的功能要求分为两个优先级类别。

结果

总体而言,定义了一般技术要求、重症监护患者护理功能以及PDMS的附加功能并确定了优先级。

讨论

以本文作为关于PDMS基本功能讨论的起点,计划与医学协会、医学信息学和PDMS制造商的代表共同制定并就最终标准达成共识。

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本文引用的文献

1
Quality indicators in intensive care medicine for Germany - fourth edition 2022.德国重症监护医学质量指标 - 2022 年第四版。
Ger Med Sci. 2023 Jun 23;21:Doc10. doi: 10.3205/000324. eCollection 2023.
2
The Salzburg Intensive Care database (SICdb): an openly available critical care dataset.萨尔茨堡重症监护数据库(SICdb):一个可公开获取的重症监护数据集。
Intensive Care Med. 2023 Jun;49(6):700-702. doi: 10.1007/s00134-023-07046-3. Epub 2023 Apr 13.
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Automated Monitoring of Adherence to Evidenced-Based Clinical Guideline Recommendations: Design and Implementation Study.
基于证据的临床指南推荐意见依从性的自动化监测:设计与实施研究。
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Representation of evidence-based clinical practice guideline recommendations on FHIR.基于证据的临床实践指南建议在快速医疗互操作性资源(FHIR)上的呈现。
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Machine-learning-derived sepsis bundle of care.机器学习衍生的脓毒症护理集束化方案。
Intensive Care Med. 2023 Jan;49(1):26-36. doi: 10.1007/s00134-022-06928-2. Epub 2022 Nov 29.
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Artificial Intelligence in Critical Care Medicine.重症医学中的人工智能
Crit Care. 2022 Mar 22;26(1):75. doi: 10.1186/s13054-022-03915-3.
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Artificial Intelligence in Infection Management in the ICU.人工智能在 ICU 感染管理中的应用。
Crit Care. 2022 Mar 22;26(1):79. doi: 10.1186/s13054-022-03916-2.
8
Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.系统综述和比较公开可用的 ICU 数据集——临床医生和数据科学家的决策指南。
Crit Care Med. 2022 Jun 1;50(6):e581-e588. doi: 10.1097/CCM.0000000000005517. Epub 2022 Mar 2.
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An Innovative Telemedical Network to Improve Infectious Disease Management in Critically Ill Patients and Outpatients (TELnet@NRW): Stepped-Wedge Cluster Randomized Controlled Trial.一种创新的远程医疗网络,用于改善危重症患者和门诊患者的传染病管理(TELnet@NRW):阶梯式楔形集群随机对照试验。
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10
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Sci Rep. 2021 Jun 24;11(1):13205. doi: 10.1038/s41598-021-92475-7.