Summary of Toward Semantic Interoperability Of Electronic Health Records, by Idoia Berges et al.
Toward Semantic Interoperability of Electronic Health Records
by Idoia Berges, Jesús Bermúdez, Arantza Illarramendi
First submitted to arxiv on: 22 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed ontology-based solution aims to achieve semantic interoperability for electronic health records (EHRs) by focusing on medical diagnoses statements. The main contributions include a canonical ontology with EHR-related terms that are language- and technology-independent, linked to well-known medical terminologies. Additionally, the proposal features modules for obtaining rich ontological representations of EHR information, along with necessary mapping axioms between ontological terms. This enables proper alignment of information from heterogeneous EHR representations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper proposes a way to make electronic health records (EHRs) talk to each other better. Right now, different organizations use different ways to represent their EHRs, which makes it hard for them to share information. The proposal uses a special kind of map called an ontology to help different systems understand each other. This map has words and phrases that are connected to medical terminologies, making it easier to find the right information. |
Keywords
* Artificial intelligence * Alignment
