From Clinical Information Systems to Personalized Health Knowledge Graphs

Sareh Aghaei; Remzi Celebi; Markus Kreuzthaler; Stefan Schulz

doi:10.3233/SHTI240689

From Clinical Information Systems to Personalized Health Knowledge Graphs

Sareh Aghaei, Remzi Celebi, Markus Kreuzthaler^*, Stefan Schulz

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.

Original language	English
Pages (from-to)	1463-1464
Number of pages	2
Journal	Studies in Health Technology and Informatics
Volume	316
DOIs	https://doi.org/10.3233/SHTI240689
Publication status	Published - 22 Aug 2024

Keywords

EHR
Interoperability
RDF Knowledge Graphs
SNOMED CT
Electronic Health Records
Humans
Semantic Web
Systematized Nomenclature of Medicine
Precision Medicine
Semantics
Computer Graphics
Information Storage and Retrieval

Access to Document

10.3233/SHTI240689Licence: CC BY-NC

Cite this

@article{208664bcaca14360af0738659c2dd028,

title = "From Clinical Information Systems to Personalized Health Knowledge Graphs",

abstract = "This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.",

keywords = "EHR, Interoperability, RDF Knowledge Graphs, SNOMED CT, Electronic Health Records, Humans, Semantic Web, Systematized Nomenclature of Medicine, Precision Medicine, Semantics, Computer Graphics, Information Storage and Retrieval",

author = "Sareh Aghaei and Remzi Celebi and Markus Kreuzthaler and Stefan Schulz",

year = "2024",

month = aug,

day = "22",

doi = "10.3233/SHTI240689",

language = "English",

volume = "316",

pages = "1463--1464",

journal = "Studies in Health Technology and Informatics",

issn = "0926-9630",

publisher = "IOS Press",

}

TY - JOUR

T1 - From Clinical Information Systems to Personalized Health Knowledge Graphs

AU - Aghaei, Sareh

AU - Celebi, Remzi

AU - Kreuzthaler, Markus

AU - Schulz, Stefan

PY - 2024/8/22

Y1 - 2024/8/22

N2 - This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.

AB - This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.

KW - EHR

KW - Interoperability

KW - RDF Knowledge Graphs

KW - SNOMED CT

KW - Electronic Health Records

KW - Humans

KW - Semantic Web

KW - Systematized Nomenclature of Medicine

KW - Precision Medicine

KW - Semantics

KW - Computer Graphics

KW - Information Storage and Retrieval

U2 - 10.3233/SHTI240689

DO - 10.3233/SHTI240689

M3 - Article

SN - 0926-9630

VL - 316

SP - 1463

EP - 1464

JO - Studies in Health Technology and Informatics

JF - Studies in Health Technology and Informatics

ER -

From Clinical Information Systems to Personalized Health Knowledge Graphs

Abstract

Keywords

Access to Document

Fingerprint

Cite this