Linking health information systems
Routine data from DHIS2 instances, laboratory 系统 and logistics systems are mapped to shared facility identifiers and to terminologies such as ICD-11, with every transformation logged.
GCRI · Health Nexus
Data engineering, interoperability and stewardship decide whether health evidence can be combined at all. In this field they cover the facility identifiers, terminologies, exchange standards, provenance and access controls that let surveillance, service, supply and environmental data be linked lawfully, reproducibly and without exposing individuals.
Data engineering, interoperability and stewardship cover the pipelines, standards and governance that make data usable and trustworthy. They determine whether information from different sectors can be combined for joint 风险评估. In health and biosecurity, sound data engineering allows hazard, exposure and financial data to be linked consistently. It supports transparent and repeatable analysis of interconnected risk. The canonical description is on STEM Commons.
Routine data from DHIS2 instances, laboratory 系统 and logistics systems are mapped to shared facility identifiers and to terminologies such as ICD-11, with every transformation logged.
Indicators are aggregated, small cells suppressed and disclosure risk assessed before release, so evidence can be shared without identifying patients or small communities.
Each dataset carries metadata on source, licence, collection method and evidence label, following the FAIR principles, so every value can be traced back to its origin.
非洲的人口密度、夜间灯光和白天地表热量,来自 NASA GIBS。每个图层均标有各自日期。
交互式地图需要JavaScript;图层列表和来源见下文。
图层 3
本页的环境暴露
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最新可用
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth
正在加载最新的NASA影像。
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环境风险暴露,以非洲为范围。NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。
图层与日期
Datasets and records used by data engineering, interoperability and stewardship on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| National master facility lists | Shared identifiers for linkage | 已发布统计 |
| DHIS2 metadata and data values | Routine reporting inputs | 已报告 |
| WHO Global Health Observatory API | Reference indicator definitions and published values | 已发布统计 |
| HL7 FHIR resources from source 系统 | Standardised exchange of records | 已报告 |
Assembled from the Nexus Standards area profile 卫生安全与同一健康: the hazards it names, the 系统 and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
灾害
系统与耦合
控制措施
NS-0 章程与原则NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-9 情境 UNI(部署、实例、计划实例)NS-10 政策和条款(机器可读的义务:定义、约束、评估和执行)NS-11 验证与监测(证据、证明、零信任符合性观测)NRS-H83 危害族:卫生系统能力失效(NHS-1 health.system)NRS-H42 危害类别:罕见和持续性人类感染(NHS-1 health.other-human)NRS-H41 危害族:动物向人类的溢出(NHS-1 health.zoonotic)NRS-H43 危害族:畜牧业和水产养殖动物疫病(NHS-1 health.animal-health)NRS-D3 人道主义响应与韧性恢复NRS-H46 危害类别:环境与产品对人的伤害(NHS-1 health.harm)观测
示例地理范围
Pipelines are tested with automated quality checks, schema validation and lineage audits. Reconciliation against source 系统 confirms completeness.
| 核查 | 如何开展 |
|---|---|
| Reconciliation against source | Totals after transformation are compared with source systems and every difference explained |
| Schema and terminology validation | Records are validated against agreed schemas and code lists before loading |
| Disclosure review | Published outputs are tested for re-identification risk before release |
| Licence and consent audit | Each dataset’s licence and permitted uses are checked before linkage |
Incompatible standards, missing metadata and restrictive licences block integration. Legacy systems and undocumented transformations introduce silent errors.
The sectors health data engineering and interoperability touches and how strongly they depend on each other: what a study has to observe and model together.
签名
卫生及其合作伙伴
卫生部门为基础设施提供运营人力(0.3),为粮食提供农业劳动力(0.3),为水提供公用事业人力(0.2)。
W · E · I · F · H · B
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
How far the outlook for health data engineering and interoperability could spread, shown as ranges rather than a single line.
数据与算力 stewards data engineering, interoperability and stewardship for the Consortium and reviews how it is applied across platforms.
Process explorer · Process
10 steps·4 个阶段·2 道关口
流程
获准的任务成为周期项目;构建版本经过固定、验证和签名,全球风险论坛(Global Risks Forum,GRF)记录的是用于演练的验收,而不是部署许可。
计划年度 · NXS-FAC · UniverseDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The record order follows the Builds and Releases room lists of NXS-FAC.
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
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