FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891878646> ?p ?o ?g. }

• W2891878646 abstract "Background The electronic exchange of health-related data can support different professionals and services to act in a more coordinated and transparent manner and make the management of health service networks more efficient. Although mental health care is one of the areas that can benefit from a secure health information exchange (HIE), as it usually involves long-term and multiprofessional care, there are few published studies on this topic, particularly in low- and middle-income countries. Objective The aim of this study was to design, implement, and evaluate an electronic health (eHealth) platform that allows the technical and informational support of a Brazilian regional network of mental health care. This solution was to enable HIE, improve data quality, and identify and monitor patients over time and in different services. Methods The proposed platform is based on client-server architecture to be deployed on the Web following a Web services communication model. The interoperability information model was based on international and Brazilian health standards. To test platform usage, we have utilized the case of the mental health care network of the XIII Regional Health Department of the São Paulo state, Brazil. Data were extracted from 5 different sources, involving 26 municipalities, and included national demographic data, data from primary health care, data from requests for psychiatric hospitalizations performed by community services, and data obtained from 2 psychiatric hospitals about hospitalizations. Data quality metrics such as accuracy and completeness were evaluated to test the proposed solution. Results The eHealth-Interop integration platform was designed, developed, and tested. It contains a built-in terminology server and a record linkage module to support patients’ identification and deduplication. The proposed interoperability environment was able to integrate information in the mental health care network case with the support of 5 international and national terminologies. In total, 27,353 records containing demographic and clinical data were integrated into eHealth-Interop. Of these records, 34.91% (9548/27,353) were identified as patients who were present in more than 1 data source with different levels of accuracy and completeness. The data quality analysis was performed on 26 demographic attributes for each integrable patient record, totaling 248,248 comparisons. In general, it was possible to achieve an improvement of 18.40% (45,678/248,248) in completeness and 1.10% (2731/248,248) in syntactic accuracy over the test dataset after integration and deduplication. Conclusions The proposed platform established an eHealth solution to fill the gap in the availability and quality of information within a network of health services to improve the continuity of care and the health services management. It has been successfully applied in the context of mental health care and is flexible to be tested in other areas of care." @default.
• W2891878646 created "2018-09-27" @default.
• W2891878646 creator A5019691265 @default.
• W2891878646 creator A5021049958 @default.
• W2891878646 creator A5054057712 @default.
• W2891878646 creator A5057713742 @default.
• W2891878646 date "2018-12-07" @default.
• W2891878646 modified "2023-10-16" @default.
• W2891878646 title "An eHealth Platform for the Support of a Brazilian Regional Network of Mental Health Care (eHealth-Interop): Development of an Interoperability Platform for Mental Care Integration" @default.
• W2891878646 cites W1441192051 @default.
• W2891878646 cites W1483357098 @default.
• W2891878646 cites W1502179981 @default.
• W2891878646 cites W1965673962 @default.
• W2891878646 cites W1967030235 @default.
• W2891878646 cites W1968344118 @default.
• W2891878646 cites W1987661380 @default.
• W2891878646 cites W1997054650 @default.
• W2891878646 cites W2002457141 @default.
• W2891878646 cites W2024312109 @default.
• W2891878646 cites W2029891172 @default.
• W2891878646 cites W2047058534 @default.
• W2891878646 cites W2081967089 @default.
• W2891878646 cites W2092751924 @default.
• W2891878646 cites W2094712627 @default.
• W2891878646 cites W2115191121 @default.
• W2891878646 cites W2156997379 @default.
• W2891878646 cites W2164572080 @default.
• W2891878646 cites W2190965524 @default.
• W2891878646 cites W2211648215 @default.
• W2891878646 cites W2251848760 @default.
• W2891878646 cites W2315333110 @default.
• W2891878646 cites W2323367901 @default.
• W2891878646 cites W233134350 @default.
• W2891878646 cites W2460860753 @default.
• W2891878646 cites W2464912251 @default.
• W2891878646 cites W2560974121 @default.
• W2891878646 cites W2586744409 @default.
• W2891878646 cites W2602491424 @default.
• W2891878646 cites W2751668150 @default.
• W2891878646 cites W2771083393 @default.
• W2891878646 cites W2993165322 @default.
• W2891878646 cites W2101382685 @default.
• W2891878646 doi "https://doi.org/10.2196/10129" @default.
• W2891878646 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6303678" @default.
• W2891878646 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30530455" @default.
• W2891878646 hasPublicationYear "2018" @default.
• W2891878646 type Work @default.
• W2891878646 sameAs 2891878646 @default.
• W2891878646 citedByCount "4" @default.
• W2891878646 countsByYear W28918786462020 @default.
• W2891878646 countsByYear W28918786462021 @default.
• W2891878646 crossrefType "journal-article" @default.
• W2891878646 hasAuthorship W2891878646A5019691265 @default.
• W2891878646 hasAuthorship W2891878646A5021049958 @default.
• W2891878646 hasAuthorship W2891878646A5054057712 @default.
• W2891878646 hasAuthorship W2891878646A5057713742 @default.
• W2891878646 hasBestOaLocation W28918786461 @default.
• W2891878646 hasConcept C118552586 @default.
• W2891878646 hasConcept C134362201 @default.
• W2891878646 hasConcept C136764020 @default.
• W2891878646 hasConcept C138816342 @default.
• W2891878646 hasConcept C145642194 @default.
• W2891878646 hasConcept C15845906 @default.
• W2891878646 hasConcept C159110408 @default.
• W2891878646 hasConcept C160735492 @default.
• W2891878646 hasConcept C162324750 @default.
• W2891878646 hasConcept C20136886 @default.
• W2891878646 hasConcept C202645933 @default.
• W2891878646 hasConcept C2778759051 @default.
• W2891878646 hasConcept C2982795734 @default.
• W2891878646 hasConcept C41008148 @default.
• W2891878646 hasConcept C50522688 @default.
• W2891878646 hasConcept C56739046 @default.
• W2891878646 hasConcept C71924100 @default.
• W2891878646 hasConceptScore W2891878646C118552586 @default.
• W2891878646 hasConceptScore W2891878646C134362201 @default.
• W2891878646 hasConceptScore W2891878646C136764020 @default.
• W2891878646 hasConceptScore W2891878646C138816342 @default.
• W2891878646 hasConceptScore W2891878646C145642194 @default.
• W2891878646 hasConceptScore W2891878646C15845906 @default.
• W2891878646 hasConceptScore W2891878646C159110408 @default.
• W2891878646 hasConceptScore W2891878646C160735492 @default.
• W2891878646 hasConceptScore W2891878646C162324750 @default.
• W2891878646 hasConceptScore W2891878646C20136886 @default.
• W2891878646 hasConceptScore W2891878646C202645933 @default.
• W2891878646 hasConceptScore W2891878646C2778759051 @default.
• W2891878646 hasConceptScore W2891878646C2982795734 @default.
• W2891878646 hasConceptScore W2891878646C41008148 @default.
• W2891878646 hasConceptScore W2891878646C50522688 @default.
• W2891878646 hasConceptScore W2891878646C56739046 @default.
• W2891878646 hasConceptScore W2891878646C71924100 @default.
• W2891878646 hasLocation W28918786461 @default.
• W2891878646 hasLocation W28918786462 @default.
• W2891878646 hasLocation W28918786463 @default.
• W2891878646 hasLocation W28918786464 @default.
• W2891878646 hasLocation W28918786465 @default.
• W2891878646 hasOpenAccess W2891878646 @default.
• W2891878646 hasPrimaryLocation W28918786461 @default.
• W2891878646 hasRelatedWork W126143886 @default.
• W2891878646 hasRelatedWork W1855605224 @default.

• next