{"title":"利用快速医疗保健互操作性资源为印度尼西亚 SATUSEHAT 平台实施世界卫生组织紧急医疗队最低数据集以创建灾难档案：开发与验证研究。","authors":"Hiro Putra Faisal, Masaharu Nakayama","doi":"10.2196/59651","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The National Disaster Management Agency (Badan Nasional Penanggulangan Bencana) handles disaster management in Indonesia as a health cluster by collecting, storing, and reporting information on the state of survivors and their health from various sources during disasters. Data were collected on paper and transferred to Microsoft Excel spreadsheets. These activities are challenging because there are no standards for data collection. The World Health Organization (WHO) introduced a standard for health data collection during disasters for emergency medical teams (EMTs) in the form of a minimum dataset (MDS). Meanwhile, the Ministry of Health of Indonesia launched the SATUSEHAT platform to integrate all electronic medical records in Indonesia based on Fast Healthcare Interoperability Resources (FHIR).</p><p><strong>Objective: </strong>This study aims to implement the WHO EMT MDS to create a disaster profile for the SATUSEHAT platform using FHIR.</p><p><strong>Methods: </strong>We extracted variables from 2 EMT MDS medical records-the WHO and Association of Southeast Asian Nations (ASEAN) versions-and the daily reporting form. We then performed a mapping process to match these variables with the FHIR resources and analyzed the gaps between the variables and base resources. Next, we conducted profiling to see if there were any changes in the selected resources and created extensions to fill the gap using the Forge application. Subsequently, the profile was implemented using an open-source FHIR server.</p><p><strong>Results: </strong>The total numbers of variables extracted from the WHO EMT MDS, ASEAN EMT MDS, and daily reporting forms were 30, 32, and 46, with the percentage of variables matching FHIR resources being 100% (30/30), 97% (31/32), and 85% (39/46), respectively. From the 40 resources available in the FHIR ID core, we used 10, 14, and 9 for the WHO EMT MDS, ASEAN EMT MDS, and daily reporting form, respectively. Based on the gap analysis, we found 4 variables in the daily reporting form that were not covered by the resources. Thus, we created extensions to address this gap.</p><p><strong>Conclusions: </strong>We successfully created a disaster profile that can be used as a disaster case for the SATUSEHAT platform. This profile may standardize health data collection during disasters.</p>","PeriodicalId":56334,"journal":{"name":"JMIR Medical Informatics","volume":"12 ","pages":"e59651"},"PeriodicalIF":3.1000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11373372/pdf/","citationCount":"0","resultStr":"{\"title\":\"Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study.\",\"authors\":\"Hiro Putra Faisal, Masaharu Nakayama\",\"doi\":\"10.2196/59651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The National Disaster Management Agency (Badan Nasional Penanggulangan Bencana) handles disaster management in Indonesia as a health cluster by collecting, storing, and reporting information on the state of survivors and their health from various sources during disasters. Data were collected on paper and transferred to Microsoft Excel spreadsheets. These activities are challenging because there are no standards for data collection. The World Health Organization (WHO) introduced a standard for health data collection during disasters for emergency medical teams (EMTs) in the form of a minimum dataset (MDS). Meanwhile, the Ministry of Health of Indonesia launched the SATUSEHAT platform to integrate all electronic medical records in Indonesia based on Fast Healthcare Interoperability Resources (FHIR).</p><p><strong>Objective: </strong>This study aims to implement the WHO EMT MDS to create a disaster profile for the SATUSEHAT platform using FHIR.</p><p><strong>Methods: </strong>We extracted variables from 2 EMT MDS medical records-the WHO and Association of Southeast Asian Nations (ASEAN) versions-and the daily reporting form. We then performed a mapping process to match these variables with the FHIR resources and analyzed the gaps between the variables and base resources. Next, we conducted profiling to see if there were any changes in the selected resources and created extensions to fill the gap using the Forge application. Subsequently, the profile was implemented using an open-source FHIR server.</p><p><strong>Results: </strong>The total numbers of variables extracted from the WHO EMT MDS, ASEAN EMT MDS, and daily reporting forms were 30, 32, and 46, with the percentage of variables matching FHIR resources being 100% (30/30), 97% (31/32), and 85% (39/46), respectively. From the 40 resources available in the FHIR ID core, we used 10, 14, and 9 for the WHO EMT MDS, ASEAN EMT MDS, and daily reporting form, respectively. Based on the gap analysis, we found 4 variables in the daily reporting form that were not covered by the resources. Thus, we created extensions to address this gap.</p><p><strong>Conclusions: </strong>We successfully created a disaster profile that can be used as a disaster case for the SATUSEHAT platform. 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引用次数: 0
摘要
背景：印度尼西亚国家灾害管理局（Badan Nasional Penanggulangan Bencana印度尼西亚国家灾害管理局（Badan Nasional Penanggulangan Bencana）通过收集、储存和报告灾害期间各种来源的幸存者状况及其健康信息，将灾害管理作为一个健康集群来处理。数据收集在纸上，然后转入 Microsoft Excel 电子表格。这些活动具有挑战性，因为没有数据收集标准。世界卫生组织（WHO）以最低数据集（MDS）的形式为紧急医疗队（EMTs）引入了灾难期间健康数据收集标准。与此同时，印度尼西亚卫生部启动了 SATUSEHAT 平台，以快速医疗互操作性资源（FHIR）为基础整合印度尼西亚的所有电子病历：本研究旨在实施世界卫生组织 EMT MDS，利用 FHIR 为 SATUSEHAT 平台创建灾难档案：我们从两个 EMT MDS 医疗记录（世卫组织和东南亚国家联盟（东盟）版本）和每日报告表中提取了变量。然后，我们进行了映射处理，将这些变量与 FHIR 资源相匹配，并分析了变量与基础资源之间的差距。接下来，我们进行了剖析，以了解所选资源是否有任何变化，并使用 Forge 应用程序创建了扩展来填补空白。随后，我们使用开源的 FHIR 服务器实施了剖析：从 WHO EMT MDS、ASEAN EMT MDS 和每日报告表中提取的变量总数分别为 30、32 和 46 个，与 FHIR 资源匹配的变量百分比分别为 100%（30/30）、97%（31/32）和 85%（39/46）。在 FHIR ID 核心的 40 个可用资源中，我们分别使用了 10、14 和 9 个资源用于 WHO EMT MDS、ASEAN EMT MDS 和每日报告表。根据差距分析，我们发现每日报告表中有 4 个变量未被资源涵盖。因此，我们创建了扩展功能来弥补这一不足：我们成功创建了一个灾难档案，可用作 SATUSEHAT 平台的灾难案例。该档案可使灾害期间的健康数据收集标准化。
Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study.
Background: The National Disaster Management Agency (Badan Nasional Penanggulangan Bencana) handles disaster management in Indonesia as a health cluster by collecting, storing, and reporting information on the state of survivors and their health from various sources during disasters. Data were collected on paper and transferred to Microsoft Excel spreadsheets. These activities are challenging because there are no standards for data collection. The World Health Organization (WHO) introduced a standard for health data collection during disasters for emergency medical teams (EMTs) in the form of a minimum dataset (MDS). Meanwhile, the Ministry of Health of Indonesia launched the SATUSEHAT platform to integrate all electronic medical records in Indonesia based on Fast Healthcare Interoperability Resources (FHIR).
Objective: This study aims to implement the WHO EMT MDS to create a disaster profile for the SATUSEHAT platform using FHIR.
Methods: We extracted variables from 2 EMT MDS medical records-the WHO and Association of Southeast Asian Nations (ASEAN) versions-and the daily reporting form. We then performed a mapping process to match these variables with the FHIR resources and analyzed the gaps between the variables and base resources. Next, we conducted profiling to see if there were any changes in the selected resources and created extensions to fill the gap using the Forge application. Subsequently, the profile was implemented using an open-source FHIR server.
Results: The total numbers of variables extracted from the WHO EMT MDS, ASEAN EMT MDS, and daily reporting forms were 30, 32, and 46, with the percentage of variables matching FHIR resources being 100% (30/30), 97% (31/32), and 85% (39/46), respectively. From the 40 resources available in the FHIR ID core, we used 10, 14, and 9 for the WHO EMT MDS, ASEAN EMT MDS, and daily reporting form, respectively. Based on the gap analysis, we found 4 variables in the daily reporting form that were not covered by the resources. Thus, we created extensions to address this gap.
Conclusions: We successfully created a disaster profile that can be used as a disaster case for the SATUSEHAT platform. This profile may standardize health data collection during disasters.
期刊介绍：
JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals.
Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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