Interoperability Requirements Research Articles

Exchange of occupational health assessment summaries based on the EN 13606 standard

The globalization of world economy stimulates large number of people to search abroad for better employment opportunities. This is the reason to consider the exchange of occupational health assessment summary (OHAS) content from cross-border view point. It is a problem of larger social-significance than the cross-border exchange for International Patient Summary (IPS). While the IPS dataset is well studied in the framework of an international standard, the OHAS remains rather insufficiently explored in the existing literature. This paper proposes a novelty systematic approach to provide a practicable solution to this problem by ensuring semantic interoperability in the exchange of OHAS. It starts by presenting a description of the use case for cross-border exchange. Next, the OHAS dataset is defined on the basis of exploring common data requirements the national legislation of EU countries. The final step of this approach is the design of an EN~13606 archetype of OHAS satisfying all the requirements for semantic interoperability in the exchange of clinical data. Further on, the static, non-volatile and reusable information model of OHAS is used to create EN~13606 instances that are valid with respect to the Reference model and the datatypes of this standard. Finally, this paper demonstrates the software implementation of basic activities in the OHAS use case in a fully functional web application, where the EN~13606 instances are managed by means of a native XML database.

The Evolution of Intelligence Doctrine and Its Contribution to Maritime Security

The interconnected nature of the oceans and the absence of physical barriers along the maritime borders make it tough to control the movement of people and goods. Combating illicit activities at sea poses significant challenges that require cooperation between national security agencies and partner nations. To support decisionmaking in maritime security operations, it is crucial to establish a transparent maritime intelligence architecture based on cooperative techniques, knowledge sharing, and technological resources. Maritime security actors should collaborate to address gaps resulting from limited resources and the evolving modus operandi of nonstate threats. Therefore, a maritime intelligence architecture should outline the interaction between national and foreign agencies involved in collecting, analyzing, and sharing intelligence information. To meet those interoperability requirements, the article shows that the promotion of maritime security worldwide has led to the development of a new maritime intelligence doctrine based on cooperation and information sharing rather than the traditional “compartmentation of information” and “need to know” principles.

Gap analysis and harmonization of International Standards for Maritime Autonomous Surface Ships

Abstract This paper addresses the challenges and solutions associated with the implementation of autonomous ships, focusing on the Maritime Autonomous Surface Ships (MASS) Code developed by the International Maritime Organization (IMO). With the goal of adopting a mandatory goal-based MASS Code by 2030, this study examines the interoperability and standardization requirements necessary for the effective global operation of autonomous ships. The paper analyses the MASS Code in relation to existing international standards, identifies gaps, and proposes standards works to accommodate the emerging technologies. Additionally, it investigate on the application of Autonomous Navigation Systems (ANS) and introduces the concepts of Shore ANS and Shore Bridge to enhance remote control capabilities. The analysis emphasizes the need for comprehensive standardization to ensure the safe and efficient operation of autonomous ships in diverse maritime environments.

Considerations for trustworthy cross-border interoperability of digital identity systems in developing countries

AbstractIn developing nations, the implementation of Foundational Identity Systems (FIDS) has optimised service delivery and inclusive economic growth. Cross-border e-government will gain traction as developing countries increasingly look to identity federation and trustworthy interoperability through FIDS for the identification and authentication of identity holders. Despite this potential, the interoperability of FIDS in the African identity ecosystem has not been well-studied. Among the difficulties in this situation are the intricate internal political dynamics that have led to weak institutions, suggesting that FIDS could be used for political purposes; additionally, citizens’ or identity holders’ habitual low trust in the government raises concerns about data security and privacy protection. Similarly, vendor lock-in, cross-system compatibility, and ambiguous legislative rules for data exchange are other concerns. Interoperability is fundamentally necessary as a precondition for e-government services and serves as the foundation for the best possible service delivery in the areas of social security, education, and finance, as well as gender equality as demonstrated by the European Union (EU). Moreover, the integration of cross-border FIDS and an ecosystem of effective data governance will be created by unified data sharing via an interoperable identity system. Thus, in this study, we point to the challenges, opportunities, and requirements for cross-border interoperability in an African setting. Furthermore, we investigated current interoperability solutions such as the EU’s eIDAS and Estonian X-Road and proposed an approach for scoping requirements to achieve a fully functional interoperable identity ecosystem in the African setting. Our findings show that interoperability in the African identity ecosystem is essential for expanding the scope of e-government throughout the continent and for bolstering the smooth authentication and verification of identity holders for inclusive economic growth.

A unified component-based data-driven framework to support interoperability in the healthcare systems

Healthcare organizations must urgently prioritize interoperability to enhance the quality of care they provide. However, achieving this collaboration comes with numerous challenges, including differing approaches, data formats, and standards, as well as concerns about privacy, security, technical complexity, and legal and regulatory issues. To tackle these challenges, we determined a set of interoperability solutions. We also developed a comprehensive, component-based, data-driven framework for healthcare systems. Our study's approach involved three main steps: first, conducting a literature review to gather interoperability requirements and solutions from online databases and grey literature; second, carrying out a qualitative study to develop a framework based on the review results and focus group discussions; and third, using the Delphi method to validate the framework with experts. We extracted information from 36 articles during the screening and assessment process. Based on the proposed framework, we organized the identified themes into various categories, including architecture, architecture components, standards, platforms, policies, data sources, consumers, applications, level of interoperability, healthcare facilities, and considerations. Experts believe that establishing a comprehensive architecture for launching interoperability between health information systems can greatly facilitate this process. All framework components (totaling 197) received unanimous approval. The landscape of healthcare delivery is shifting from a focus on diseases to a patient-centered, data-driven approach. There is a growing demand for personalized healthcare systems, which necessitates increased interoperability among all healthcare stakeholders, particularly when dealing with diverse types of data. Our framework is designed to facilitate the implementation of various types of interoperability in healthcare systems.

Meta-Regulation: An ideal alternative to the primary responsibility as the regulatory model of generative AI in China

Generative AI with stronger responsiveness and emergent abilities has triggered a global boom and is facing challenges such as data compliance risks during the pretraining process and risks of generating fake information, which has raised concerns among global regulatory authorities. The European Union, United States, United Kingdom, and other countries and regions are gradually establishing risk-based, scenario-based, and outcome-based governance models for generative AI. China recently introduced new regulations for the management of generative AI, which adopt a governance model focusing on generative AI service providers. It suggests that China is continuing the principle of primary responsibility in Internet governance, which encompasses legal responsibility, contractual obligations, and ethical responsibility. However, the governance model based on primary responsibility emphasizes the accountability of generative AI model service providers, with relatively limited regulation on other important entities such as users and large-scale dissemination platforms, which may not be conducive to achieving China's regulatory goals for the AI industry. In comparison, the Meta-Regulation model could be an ideal alternative for China. As a classic theory explaining the public-private relationship, the ‘Meta-Regulation’ aligns with the generative AI governance requirements. Based on the Meta-Regulation theory, the governance of generative AI in China should move towards a direction of emphasizing safety, transparency, collaborative governance, and accountability. In line with this, it is necessary to include users and large-scale dissemination platforms within the regulatory scope and establish overarching governance objectives that ensure the responsible distribution of duties among stakeholders, with regulatory authorities assuming ultimate oversight responsibility and technical coordination. At the level of specific improvement measures, it is possible to integrate the three stages of model development, usage, and content dissemination of generative AI. During the model development stage, generative AI providers have specific transparency obligations. In the usage stage, a self-regulatory system centered around platform autonomy should be constructed. In the content dissemination stage, the proactive notification obligations of the dissemination platforms should be clearly defined. Additionally, the enforcement of technical interoperability requirements is necessary, thereby promoting the orderly development of generative AI applications.

Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research

Background:Art. 50 of the proposal for a Regulation on the European Health Data Space (EHDS) states that “health data access bodies shall provide access to electronic health data only through a secure processing environment, with technical and organizational measures and security and interoperability requirements”. Objective:To identify specific security measures that nodes participating in health data spaces shall implement based on the results of the IMPaCT-Data project, whose goal is to facilitate the exchange of electronic health records (EHR) between public entities based in Spain and the secondary use of this information for precision medicine research in compliance with the General Data Protection Regulation (GDPR). Data and methods:This article presents an analysis of 24 out of a list of 72 security measures identified in the Spanish National Security Scheme (ENS) and adopted by members of the federated data infrastructure developed during the IMPaCT-Data project. Results:The IMPaCT-Data case helps clarify roles and responsibilities of entities willing to participate in the EHDS by reconciling technical system notions with the legal terminology. Most relevant security measures for Data Space Gatekeepers, Enablers and Prosumers are identified and explained. Conclusion:The EHDS can only be viable as long as the fiduciary duty of care of public health authorities is preserved; this implies that the secondary use of personal data shall contribute to the public interest and/or to protect the vital interests of the data subjects. This condition can only be met if all nodes participating in a health data space adopt the appropriate organizational and technical security measures necessary to fulfill their role.

METHOD TRANSFORMATION OF COORDINATES FROM THE ARCHIVE SYSTEM (VARASH-42) TO THE CURRENT SYSTEM (LCS-56) USING QGIS

This article proposes a technique for transforming coordinates from an archival coordinate system into an active one using affine transformation using the finite element method in the QGIS geoinformation environment using a transformation field in the NTv2 format. The purpose of the work is to develop a method of transforming coordinates from the archival system into the one operating in Ukraine using the GRID model of the transformation field in the form of NTv2 format and QGIS software using the example of the Varash-42 coordinate system, derived from CS-42, and LCS-56, derived from UCS-2000. To implement the technique, a scheme for transforming point coordinates is defined. The technique of integrating the transformation field into the QGIS geoinformation environment was researched and implemented. The authors investigated the transformation of coordinates on the territory of the city of Varash, Rivne region, and determined the accuracy of the obtained results, which is within the limits of tolerance. According to the results of the study, it was established that the average squared error of a unit of weight is 0.024 m. Since the control coordinates were obtained with an accuracy within tolerance – up to 0.05 m; it was concluded that the coordinates obtained with the help of the NTv2 local transformation field for the territory of Varash are suitable for their further use. The developed technique makes it possible to transform coordinates from archival coordinate systems derived from UCS-2000 to use processed geospatial data in topography-geodetic, cartographic, land management, land surveying and other spheres of activity, as well as to ensure compliance with one of the requirements for compatibility and interoperability of geospatial data: a coordinate system in which coordinate descriptions of geospatial objects are provided.

AI Concepts for System of Systems Dynamic Interoperability.

Interoperability is a central problem in digitization and System of Systems (SoS) engineering, which concerns the capacity of systems to exchange information and cooperate. The task to dynamically establish interoperability between heterogeneous cyber-physical systems (CPSs) at run-time is a challenging problem. Different aspects of the interoperability problem have been studied in fields such as SoS, neural translation, and agent-based systems, but there are no unifying solutions beyond domain-specific standardization efforts. The problem is complicated by the uncertain and variable relations between physical processes and human-centric symbols, which result from, e.g., latent physical degrees of freedom, maintenance, re-configurations, and software updates. Therefore, we surveyed the literature for concepts and methods needed to automatically establish SoSs with purposeful CPS communication, focusing on machine learning and connecting approaches that are not integrated in the present literature. Here, we summarize recent developments relevant to the dynamic interoperability problem, such as representation learning for ontology alignment and inference on heterogeneous linked data; neural networks for transcoding of text and code; concept learning-based reasoning; and emergent communication. We find that there has been a recent interest in deep learning approaches to establishing communication under different assumptions about the environment, language, and nature of the communicating entities. Furthermore, we present examples of architectures and discuss open problems associated with artificial intelligence (AI)-enabled solutions in relation to SoS interoperability requirements. Although these developments open new avenues for research, there are still no examples that bridge the concepts necessary to establish dynamic interoperability in complex SoSs, and realistic testbeds are needed.

Dynamic open innovation to determine technology-based interoperability requirement for electric motorcycle swappable battery

Electric motorcycle swappable batteries (EMSB) require interoperability standards so that swappable batteries (SB) can be exchanged and operated between brands to minimize investment costs. The stages in standards development have similar characteristics to the open innovation process, namely the involvement of external interested parties: manufacturers, regulators, customers, suppliers, experts, and researchers. For that, in the standards development process, all stakeholders must collaborate to leverage knowledge, expertise, resources, and innovative ideas. This article, therefore, aims to determine the essential parameters that need to be established in interoperability requirements and develop an economic model to estimate the financial impact. The model framework in this research integrated the Framework for Analysis, Comparison, and Testing of Standards (FACTS) and The International Organization for Standardization (ISO) Methodology using the dynamic open innovation approach. The sample was 20 respondents representing stakeholders. This research used a semi-open questionnaire developed from the E-Mobility Systems Architecture (EMSA) model on three-layer interoperability (components, communications, and information) and economics benefit standard methodology. This research recommends SB dimensions, SB voltage, connector types, safety, and component compatibility requirements (BMS, sensors, controllers) to be regulated at the component layer. Meanwhile, further consensus is still needed at the communication and information layer. The economic model developed has been successfully applied using hypothetical data.

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

Service exchange requirements of a defence force portfolio

The Australian Department of Defence is developing a capability portfolio which involves interoperability between disparate portfolio elements, via the concerted contribution from multiple stakeholders. In order for project staff and stakeholders to obtain a better understanding of interoperability requirements, this work applied an established framework which records intended service exchanges and provides a mechanism to analyse the service exchanges required to generate capability. To test and refine the framework prior to its Department-wide adoption, a case-study was commissioned. This work draws from the study’s outcomes, focusing on the utility of the framework as a means of capturing and understanding dependencies between elements to support portfolio-wide decision-making.

Reviewing Challenges in Specifying Interoperability Requirement in Procurement of Health Information Systems.

Procurement of health information systems (HIS) is a complex and critical task that requires early identification of interoperability requirements. However, specifying adequate requirements is often associated with several challenges. We examined relevant peer-reviewed literature and public documents (policy documents, annual reports, and newspapers) to summarize existing challenges in specifying interoperability requirement during procurement of HISs. In this study, 32 public documents and 2343 peer-reviewed articles were found using Google search engine, Springer, PubMed and ScienceDirect. Collected data were analyzed using a thematic coding schema. Our result shows that challenges related to describing the needs properly, conflicting needs and knowledge gaps are shared between most articles. Further research in the direction of developing a model that can bridge knowledge gaps, facilitate interdisciplinary collaboration, and help to avoid fuzzy requirements is needed.

Key interoperability Factors for patient portals and Electronic health Records: A scoping review

AimTo identify the key requirements and challenges to interoperability between patient portals and electronic health records (EHRs). IntroductionPatient portals provide patients with access to their health information directly from EHRs within hospitals, primary care centres and general practices (GPs). Patient portals offer many benefits to patients including improved communication with healthcare providers and care coordination. However, many challenges exist with the integration and automatic and secure sharing of information between EHRs and patient portals. It is critical that countries learn from international experiences to successfully develop interoperable national patient portals. MethodsA scoping review methodology was undertaken. A search strategy using index terms and keywords was applied across four key databases, an additional grey literature search was also run. The identified studies were screened by two reviewers to determine eligibility against defined inclusion criteria. Data were abstracted from the eligible studies and reviewed to identify the key requirements and challenges to interoperability of patient portals with EHRs. ResultsAfter screening 3,462 studies, 34 were included across 11 countries. Of the 29 unique patient portals studied, few offered patients access to their entire healthcare record across multiple sites and a number of different functionalities were available. Key interoperability requirements and challenges identified were: Data Sharing Incentives & Supports; Heterogenous Organisations & Information Systems; Data Storage & Management; Available Information & Functionalities; Data Formats & Standards; Identification of Individuals; User Access, Control & Consent; and Security & Privacy. ConclusionSeamless exchange of health information across patient portals and EHRs required organisational and individual factors, as well as technical considerations. Interorganisational collaboration and engagement of key stakeholders to determine standards and guidelines for consent and sharing of information, as well as technical standards and security measures were recommended.

Development of Interoperability Principles for Disaster and Emergency Management System of Türkiye

Due to their complex nature, disasters and emergencies require a data-intensive management system in which many actors from different sectors participate and simultaneous processes are managed. Due to this complexity, there are problems in managing and sharing process services and geographic data effectively. The key to solving these problems is the introduction of a complete interoperability model. In this context, interoperability models based on existing international standards are analyzed in this study. FEI and EIF models are taken as basis in terms of disaster and emergency management interoperability requirements. Accordingly, the interoperability reference model was created in legal, organizational, semantic and technical frameworks to meet the interoperability levels. This general framework model has been evaluated in the service and data layers that need to be fully defined in disaster and emergency management phases, and a basic model including interoperability solutions for the service and data model has been created.

Enhancing Interoperability: Exploring Data Exchange Standards in SaaS Laboratory Management Systems

In the ever-changing environment of health care, smooth information exchange among different systems is significant to ensure efficiency and high-quality patient care. This is also important in laboratory management, where time and accuracy are critical for patients' diagnosis and treatment choices. Nevertheless, interoperability is still a big issue, with SaaS laboratory systems being the primary concern. This study focuses on the importance of interoperability in contemporary healthcare systems, with particular emphasis on laboratory management. It shows the significance of an uninterrupted data flow between SaaS laboratory management systems and other healthcare I.T. systems, such as E.H.R.s and HIEs. Existing data exchange standards and frameworks for interoperability among SaaS laboratory management systems are discussed, including the challenges of achieving interoperability. A quantitative research approach-based questionnaire was deployed to assess the interoperability requirements and processes of the genetic testing laboratories in the survey. Investigations point to different levels of compatibility among SaaS lab management systems in terms of features offered as well as the challenges faced by the latter. Challenges include different data formats, communication protocol standards, and data model incompatibility. The study emphasizes the critical role of interoperability and data exchange in SaaS laboratory management systems and the entire healthcare industry. The methods of overcoming the interoperability problem are investing in education, creating collaborative partnerships, promoting integration frameworks, and establishing incentives for obedience to standardized data exchange format.

Retracted: Interoperability Requirements for Blockchain-Enabled Electronic Health Records in Healthcare: A Systematic Review and Open Research Challenges

Retracted: Interoperability Requirements for Blockchain-Enabled Electronic Health Records in Healthcare: A Systematic Review and Open Research Challenges

Interoperability of heterogeneous Systems of Systems: from requirements to a reference architecture

Interoperability stands as a critical hurdle in developing and overseeing distributed and collaborative systems. Thus, it becomes imperative to gain a deep comprehension of the primary obstacles hindering interoperability and the essential criteria that systems must satisfy to achieve it. In light of this objective, in the initial phase of this research, we conducted a survey questionnaire involving stakeholders and practitioners engaged in distributed and collaborative systems. This effort resulted in the identification of eight essential interoperability requirements, along with their corresponding challenges. Then, the second part of our study encompassed a critical review of the literature to assess the effectiveness of prevailing conceptual approaches and associated technologies in addressing the identified requirements. This analysis led to the identification of a set of components that promise to deliver the desired interoperability by addressing the requirements identified earlier. These elements subsequently form the foundation for the third part of our study, a reference architecture for interoperability-fostering frameworks that is proposed in this paper. The results of our research can significantly impact the software engineering of interoperable systems by introducing their fundamental requirements and the best practices to address them, but also by identifying the key elements of a framework facilitating interoperability in Systems of Systems.

Problems of simulation of the pantographcatenary contact line interaction in terms of interoperability

The paper presents the application of the pantograph-overhead contact line interaction simulation, which is carried out to assess the fulfillment of the essential interoperability requirements for the interoperability component, which is the overhead contact line. According to the paper's authors, carrying out model validation according to the EN 50318:2002 standard indicated in the technical specification for interoperability does not exhaust the question of the correctness of the method used. This fact is also confirmed in the literature discussed in the paper. To substantiate the above thesis, a numerical simulation was carried out in MATLAB/Simulink using a two-mass model of the pantograph and overhead contact line. As a result of the sensitivity analysis of the influence of the input data on the simulation results, conclusions were formulated to confirm the thesis in question.

Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives

Archives are facing numerous challenges. On the one hand, archival assets are evolving to encompass digitized documents and increasing quantities of born-digital information in diverse formats. On the other hand, the audience is changing along with how it wishes to access archival material. Moreover, the interoperability requirements of cultural heritage repositories are growing. In this context, the Portuguese Archives started an ambitious program aiming to evolve its data model, migrate existing records, and build a new archival management system appropriate to both archival tasks and public access. The overall goal is to have a fine-grained and flexible description, more machine-actionable than the current one. This work describes ArchOnto, a linked open data model for archives, and rules for its automatic population from existing records. ArchOnto adopts a semantic web approach and encompasses the CIDOC Conceptual Reference Model and additional ontologies, envisioning interoperability with datasets curated by multiple communities of practice. Existing ISAD(G)-conforming descriptions are being migrated to the new model using the direct mappings provided here. We used a sample of 25 records associated with different description levels to validate the completeness and conformity of ArchOnto to existing data. This work is in progress and is original in several respects: (1) it is one of the first approaches to use CIDOC CRM in the context of archives, identifying problems and questions that emerged during the process and pinpointing possible solutions; (2) it addresses the balance in the model between the migration of existing records and the construction of new ones by archive professionals; and (3) it adopts an open world view on linking archival data to global information sources.