Article
Computer Science, Information Systems
John Meredith, Nik Whitehead, Michael Dacey
Summary: This study compares the FOX architecture with the EOSC interoperability framework and finds that the conceptual components of the FOX architecture align well with the framework. The FOX architecture's semantic business objects consist of various elements, including openEHR archetypes and templates, FHIR resources and profiles, SNOMED CT concepts, and XDS document identifiers. This research supports the use of a standardized framework to achieve FAIR data in the health domain and enable health research.
METHODS OF INFORMATION IN MEDICINE
(2023)
Article
Computer Science, Information Systems
William J. Gordon, Daniel Gottlieb, David Kreda, Joshua C. Mandel, Kenneth D. Mandl, Isaac S. Kohane
Summary: The 21st Century Cures Act and the Final Rules create a roadmap for patient access to electronic health information, with the data provided impacting the value creation of improved data liquidity. This commentary highlights the potential for significant value creation from US Core Data for Interoperability in clinical bioinformatics research, advocating for research community involvement in the USCDI process to drive this value creation forward. Additionally, a mechanism using existing APIs for full data export capabilities is described as a pragmatic way to enable value creation with minimal technical burden.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Computer Science, Information Systems
Yuan Peng, Elisa Henke, Ines Reinecke, Michele Zoch, Martin Sedlmayr, Franziska Bathelt
Summary: International studies require unbiased evidence from real-world data. The EMA established the DARWIN EU project based on OMOP CDM to achieve this across the European Union. Harmonizing local health data in OMOP CDM is crucial for participation in such networks. Using HL7 FHIR reduces the complexity of transforming data to OMOP CDM and enables German university hospitals to participate.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Medical Informatics
Lingtong Min, Koray Atalag, Qi Tian, Yani Chen, Xudong Lu
Summary: Through comparing the information models of acute coronary syndrome registries from China and New Zealand, this study verified the feasibility of implementing semantic interoperability in different countries. Among the openEHR-based clinical registries, 98% of the corresponding data items supported semantic interoperability. Archetype reuse provides data on the degree of semantic interoperability when using the openEHR approach.
JMIR MEDICAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Aly Khalifa, Clinton C. Mason, Jennifer Hornung Garvin, Marc S. Williams, Guilherme Del Fiol, Brian R. Jackson, Steven B. Bleyl, Gil Alterovitz, Stanley M. Huff
Summary: This study aims to analyze the data content of genetic lab test reports and map them to the FHIR CG IG specification to assess its coverage. The results show that FHIR CG IG covers the majority of the identified key data elements, but suggests some extensions that may better represent certain elements.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Health Care Sciences & Services
Subhashis Das, Pamela Hussey
Summary: The rapid advancement of digital technologies, combined with recent global pandemic-like scenarios, has led to the need for reform and adaptation in personalizing home care settings. The interoperability challenge in health and social care services can be addressed through standards-based roadmaps. This paper showcases a methodology that uses a common semantic standardized data model (CSSDM) to generate a personalized healthcare knowledge graph (KG) in a semi-automated process.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Health Care Sciences & Services
Derlis Gomez, Jesus Romero, Pablo Lopez, Jose Vazquez, Cristian Cappo, Diego Pinto, Cynthia Villalba
Summary: A cloud-based EHR interoperable architecture is proposed to integrate information from different EHR systems. The architecture combines cloud computing paradigm with health informatics standards, ensuring interoperability and scalability. The validation results show that it successfully integrates multiple EHR systems and meets interoperability requirements.
TECHNOLOGY AND HEALTH CARE
(2022)
Article
Computer Science, Information Systems
Alex M. Bennett, Hannes Ulrich, Philip van Damme, Joshua Wiedekopf, Alistair E. W. Johnson
Summary: This study converted the MIMIC-IV database into Health Level 7 Fast Healthcare Interoperability Resources (FHIR), generated an openly available demo, and created an implementation guide. The modeling resulted in 25 profiles, 2 extensions, 35 ValueSets, and 34 CodeSystems. The newly created MIMIC-IV on FHIR provides valuable real-world data for research and healthcare application development. Rating: 8 out of 10.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Computer Science, Information Systems
Karen A. Monsen, Laura Heermann, Karen Dunn-Lopez
Summary: HL7's FHIR is leading efforts to make data available to healthcare professionals. Standardized nursing terminologies have been developed to improve care quality and outcomes. This article describes the potential synergy between FHIR and SNTs and provides recommendations for collaboration.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Lorena Gonzalez-Castro, Victoria M. Cal-Gonzalez, Guilherme Del Fiol, Martin Lopez-Nores
Summary: Cancer survivorship has been under-researched, but utilizing healthcare data for secondary use can provide valuable insights into survivors' health trajectories; CASIDE is an interoperable data model designed to accelerate the secondary use of healthcare data and data sharing across institutions.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Chemistry, Multidisciplinary
Lisa Langnickel, Kilian Krockauer, Mischa Uebachs, Sebastian Schaaf, Sumit Madan, Thomas Klockgether, Juliane Fluck
Summary: This study evaluated the information available in memory clinic routine databases using the example of the University Hospital Bonn, and extracted valuable information through modular, rule-based text mining workflows, creating a machine-readable core dataset for over 8000 patient visits over a ten-year period.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
Eric Prud'hommeaux, Josh Collins, David Booth, Kevin J. Peterson, Harold R. Solbrig, Guoqian Jiang
Summary: The study developed a Java-based FHIR RDF data transformation toolkit with RDF support, and a ShEx-based validation framework for FHIR RDF data conformance. Testing against 2693 FHIR R4 examples and 2197 FHIR R5 examples showed effective validation, revealing 5 types of errors in the R5 examples.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Biology
Kim K. Sommer, Ali Amr, Udo Bavendiek, Felix Beierle, Peter Brunecker, Henning Dathe, Juergen Eils, Maximilian Ertl, Georg Fette, Matthias Gietzelt, Bettina Heidecker, Kristian Hellenkamp, Peter Heuschmann, Jennifer D. E. Hoos, Tibor Kesztyues, Fabian Kerwagen, Aljoscha Kindermann, Dagmar Krefting, Ulf Landmesser, Michael Marschollek, Benjamin Meder, Angela Merzweiler, Fabian Prasser, Ruediger Pryss, Jendrik Richter, Philipp Schneider, Stefan Stoerk, Christoph Dieterich
Summary: Predicting the risk of heart failure in patients is crucial for tailoring preventive, diagnostic, and therapeutic strategies to suit individual patients and effectively utilize healthcare resources. However, existing risk scores are rarely implemented in routine care due to the difficulty of their calculation and the unavailability of necessary data in an interoperable format. In this study, we demonstrate the feasibility of using clinical routine data from multiple medical centers to calculate heart failure risk scores, offering a potential solution that can be applied in various clinical care settings.
Review
Chemistry, Physical
Simon Clark, Francesca L. Bleken, Simon Stier, Eibar Flores, Casper Welzel Andersen, Marek Marcinek, Anna Szczesna-Chrzan, Miran Gaberscek, M. Rosa Palacin, Martin Uhrin, Jesper Friis
Summary: Battery research and production generate diverse data in various fields, driving modern battery development through a combination of traditional natural sciences and emerging technologies. The use of a battery ontology can unify battery-related activities, accelerate knowledge transfer, and facilitate the integration of artificial intelligence in battery development. A logically consistent and expansive ontology is crucial for supporting battery digitalization and standardization efforts.
ADVANCED ENERGY MATERIALS
(2022)
Article
Construction & Building Technology
Shushan Hu, Jiale Wang, Cathal Hoare, Yehong Li, Pieter Pauwels, James O'Donnell
Summary: This paper introduces a method to infer implicit knowledge using the semantic web technology for building energy performance assessment. The approach can reduce burdensome intervention from building managers and improve energy efficiency.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Telecommunications
Yarisley Pena Llerena, Paulo R. L. Gondim, Jaime Lloret
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2018)
Article
Computer Science, Information Systems
Luis F. A. Roman, Paulo R. L. Gondim, Jaime Lloret
Article
Computer Science, Information Systems
Ana Paula G. Lopes, Lucas O. Hilgert, Paulo R. L. Gondim, Jaime Lloret
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2019)
Article
Engineering, Electrical & Electronic
Rodrygo Torres Cordova, Paulo R. L. Gondim, Yarisley P. Llerena, Jaime Lloret
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2019)
Article
Computer Science, Information Systems
Luis P. A. Roman, Paulo R. L. Gondim
Article
Computer Science, Information Systems
Jesus Noel Sarez Rubi, Paulo Roberto de Lira Gondim
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2020)
Article
Computer Science, Hardware & Architecture
Ana Paula Golembiouski Lopes, Paulo R. L. Gondim
Article
Chemistry, Analytical
Ana Paula G. Lopes, Paulo R. L. Gondim
Article
Engineering, Electrical & Electronic
Jesus Noel Suarez Rubi, Paulo Roberto de Lira Gondim
Summary: This article proposes a smart city platform based on environmental IoT, utilizing Semantic Web Technologies to achieve data interoperability and address issues of big data application in smart city decision systems. Through a real environmental quality monitoring use case, it was found that the CoAP adapter provided the best results in terms of latency, RAM, and CPU consumption.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Yarisley Pena Llerena, Paulo R. L. Gondim
Article
Computer Science, Information Systems
Miran Taha, Aree Ali, Jaime Lloret, Paulo R. L. Gondim, Alejandro Canovas
Summary: This study presents a methodology design for evaluating subjective QoE in adaptive video streaming over wireless networks, considering parameters such as video characteristics, segment length, initial delay, switch strategy, stalls, and QoS parameters. The experiment showed that objective metrics can be mapped to significant subjective parameters for user experience.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Telecommunications
Luis Fernando Arias Roman, Paulo Roberto de Gondim
Summary: In this article, a group authentication and key agreement protocol for ensuring the security of the advanced metering infrastructure in smart grid networks is introduced. It showed better performance in terms of communication and computational cost compared to other protocols. The protocol was validated and tested through formal validation and intrusion simulation, with good results.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Ana Paula G. Lopes, Paulo R. L. Gondim
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2020)
Article
Computer Science, Information Systems
Yarisley Pena Llerena, Paulo R. L. Gondim