Cargando…

Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing

Background Merging disparate and heterogeneous datasets from clinical routine in a standardized and semantically enriched format to enable a multiple use of data also means incorporating unstructured data such as medical free texts. Although the extraction of structured data from texts, known as na...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wulff, Antje, Mast, Marcel, Hassler, Marcus, Montag, Sara, Marschollek, Michael, Jack, Thomas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Georg Thieme Verlag KG 2020
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725544/ https://www.ncbi.nlm.nih.gov/pubmed/33058101 http://dx.doi.org/10.1055/s-0040-1716403

Ejemplares similares

Transformation of microbiology data into a standardised data representation using OpenEHR
por: Wulff, Antje, et al.
Publicado: (2021)

Modeling EHR with the openEHR approach: an exploratory study in China
por: Min, Lingtong, et al.
Publicado: (2018)

Management of a Pandemic Based on an openEHR approach
por: Oliveira, Daniela, et al.
Publicado: (2020)

Prediction of COVID-19 diagnosis based on openEHR artefacts
por: Oliveira, Daniela, et al.
Publicado: (2022)

Open data models for smart health interconnected applications: the example of openEHR
por: Demski, Hans, et al.
Publicado: (2016)

Archetype relational mapping - a practical openEHR persistence solution
por: Wang, Li, et al.
Publicado: (2015)

OpenEHR and General Data Protection Regulation: Evaluation of Principles and Requirements
por: Gonçalves-Ferreira, Duarte, et al.
Publicado: (2019)

Development of an openEHR Template for COVID-19 Based on Clinical Guidelines
por: Li, Mengyang, et al.
Publicado: (2020)

Erratum to: Archetype relational mapping - a practical openEHR persistence solution
por: Wang, Li, et al.
Publicado: (2016)

An openEHR based approach to improve the semantic interoperability of clinical data registry
por: Min, Lingtong, et al.
Publicado: (2018)

OpenEHR modeling: improving clinical records during the COVID-19 pandemic
por: Oliveira, Daniela, et al.
Publicado: (2021)

Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis
por: Iglesias, Natalia, et al.
Publicado: (2022)

Modeling healthcare authorization and claim submissions using the openEHR dual-model approach
por: Dias, Rigoleta DM, et al.
Publicado: (2011)

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers
por: Teodoro, Douglas, et al.
Publicado: (2018)

Integrating an openEHR-based personalized virtual model for the ageing population within HBase
por: Kalogiannis, Spyridon, et al.
Publicado: (2019)

Applying openEHR’s Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study
por: Anani, Nadim, et al.
Publicado: (2017)

openEHR Archetype Use and Reuse Within Multilingual Clinical Data Sets: Case Study
por: Leslie, Heather
Publicado: (2020)

Modeling clinical activities based on multi-perspective declarative process mining with openEHR’s characteristic
por: Xu, Haifeng, et al.
Publicado: (2020)

Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China
por: Sun, Bo, et al.
Publicado: (2021)

Retrospective checking of compliance with practice guidelines for acute stroke care: a novel experiment using openEHR’s Guideline Definition Language
por: Anani, Nadim, et al.
Publicado: (2014)

Harvesting metadata in clinical care: a crosswalk between FHIR, OMOP, CDISC and openEHR metadata
por: Bönisch, Caroline, et al.
Publicado: (2022)

Application of openEHR archetypes to automate data quality rules for electronic health records: a case study
por: Tian, Qi, et al.
Publicado: (2021)

A configurable method for clinical quality measurement through electronic health records based on openEHR and CQL
por: Li, Mengyang, et al.
Publicado: (2022)

Discovering Clinical Information Models Online to Promote Interoperability of Electronic Health Records: A Feasibility Study of OpenEHR
por: Yang, Lin, et al.
Publicado: (2019)

A Patient-Screening Tool for Clinical Research Based on Electronic Health Records Using OpenEHR: Development Study
por: Li, Mengyang, et al.
Publicado: (2021)

IoMT Platform for Pervasive Healthcare Data Aggregation, Processing, and Sharing Based on OneM2M and OpenEHR
por: S. Rubí, Jesús N., et al.
Publicado: (2019)

Network analysis of unstructured EHR data for clinical research
por: Bauer-Mehren, Anna, et al.
Publicado: ( 201)

Verifying the Feasibility of Implementing Semantic Interoperability in Different Countries Based on the OpenEHR Approach: Comparative Study of Acute Coronary Syndrome Registries
por: Min, Lingtong, et al.
Publicado: (2021)

Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus
por: Li, Yalun, et al.
Publicado: (2020)

Toward a Natural Language Interface for EHR Questions
por: Roberts, Kirk, et al.
Publicado: (2015)

Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction
por: Bayramli, Ilkin, et al.
Publicado: (2022)

CADDIE2—evaluation of a clinical decision-support system for early detection of systemic inflammatory response syndrome in paediatric intensive care: study protocol for a diagnostic study
por: Wulff, Antje, et al.
Publicado: (2019)

Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children
por: Wulff, Antje, et al.
Publicado: (2021)

Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method
por: Chiu, Chih-Chou, et al.
Publicado: (2023)

Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence
por: Ritzwoller, Debra P., et al.
Publicado: (2021)

Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data
por: Hong, Na, et al.
Publicado: (2018)

Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm
por: Schwartz, Jessica L, et al.
Publicado: (2022)

Obtaining structured clinical data from unstructured data using natural language processing software
por: Lacey, Arron S, et al.
Publicado: (2017)

Natural language processing to convert unstructured COVID-19 chest-CT reports into structured reports
por: Fanni, Salvatore Claudio, et al.
Publicado: (2023)

Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data
por: Hong, Na, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_k8jff76oj0tko787853okga28o