HL7 FHIR-based tools and initiatives to support clinical research: a scoping review
Abstract Objectives The HL7® fast healthcare interoperability resources (FHIR®)
specification has emerged as the leading interoperability standard for the exchange of …
specification has emerged as the leading interoperability standard for the exchange of …
[HTML][HTML] State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review
Background: Data models are crucial for clinical research as they enable researchers to fully
use the vast amount of clinical data stored in medical systems. Standardized data and well …
use the vast amount of clinical data stored in medical systems. Standardized data and well …
Methods to integrate natural language processing into qualitative research
MD Abram, KT Mancini… - International Journal of …, 2020 - journals.sagepub.com
Background: Qualitative methods analyze contextualized, unstructured data. These methods
are time and cost intensive, often resulting in small sample sizes and yielding findings that …
are time and cost intensive, often resulting in small sample sizes and yielding findings that …
[HTML][HTML] Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge …
Background Standards-based clinical data normalization has become a key component of
effective data integration and accurate phenotyping for secondary use of electronic …
effective data integration and accurate phenotyping for secondary use of electronic …
Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data
Objective To design, develop, and evaluate a scalable clinical data normalization pipeline
for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast …
for standardizing unstructured electronic health record (EHR) data leveraging the HL7 Fast …
Developing an FHIR-based computational pipeline for automatic population of case report forms for colorectal cancer clinical trials using electronic health records
PURPOSE The Fast Healthcare Interoperability Resources (FHIR) is emerging as a next-
generation standards framework developed by HL7 for exchanging electronic health care …
generation standards framework developed by HL7 for exchanging electronic health care …
Designing an openEHR-based pipeline for extracting and standardizing unstructured clinical data using natural language processing
A Wulff, M Mast, M Hassler, S Montag… - … of information in …, 2020 - thieme-connect.com
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 …
standardized and semantically enriched format to enable a multiple use of data also means …
[HTML][HTML] A framework (SOCRATex) for hierarchical annotation of unstructured electronic health records and integration into a standardized medical database …
Background Although electronic health records (EHRs) have been widely used in secondary
assessments, clinical documents are relatively less utilized owing to the lack of standardized …
assessments, clinical documents are relatively less utilized owing to the lack of standardized …
[HTML][HTML] Electronic health record and semantic issues using fast healthcare interoperability resources: Systematic mapping review
Background The increasing use of electronic health records and the Internet of Things has
led to interoperability issues at different levels (structural and semantic). Standards are …
led to interoperability issues at different levels (structural and semantic). Standards are …
Applicability of machine learning methods to multi-label medical text classification
I Lenivtceva, E Slasten, M Kashina… - … Science–ICCS 2020: 20th …, 2020 - Springer
Structuring medical text using international standards allows to improve interoperability and
quality of predictive modelling. Medical text classification task facilitates information …
quality of predictive modelling. Medical text classification task facilitates information …