A Middleware to Support HL7 Standards for the Integration between Healthcare Applications

Alenazi, Thamer M.; Alhamed, Ahmad A.

doi:10.1109/ichi.2015.93

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Recently, there is a gradual paradigm shift in the healthcare sector to gradually migrated paper-based patient medical records to digital electronic ones through the implementation of Electronic Health Records (EHR) systems. Various EHR standards exists like IEEE [2], DICOM [3], LOINC, SNOMED CT [4], HL7 [5]and FHIR [6].However, even with the introduction of EHR and its diver's standards, healthcare systems are still isolated from each other without much collaboration and interoperability between them [7]. Interoperability of EHR is defined in Health Information Management System Society (HIMSS) as "the ability of two or more applications being able to communicate in an effective manner without compromising the contents of transmitted EHR" [6].…”

Section: Introductionmentioning

confidence: 99%

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

Naveed

Sigwele²,

Hu³

et al. 2020

jesr

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The use of Electronic Health Records (EHR) in healthcare has the potential of reducing medical errors, minimizing healthcare cost and significantly improving the healthcare service quality. However, there is a barrier in healthcare data and information exchange between various healthcare systems due to the lack of interoperability. Also, with the implementation of EHR system, there are security and privacy concerns in the storage and transferring data entities. The healthcare interoperability problem remains an issue of further research and this paper proposes a semantic interoperability framework for solving this problem by allowing healthcare stakeholders and organizations (doctors, clinics, hospitals)using various healthcare standards to exchange data and its semantics, which can be understood by both machines and humans. Moreover, the proposed framework takes into consideration the security aspects in the semantic interoperability framework by utilizing data encryption and other technologies to secure the communication for the EHR information while ensuring real time data availability. Keywords:. Semantic interoperability; Interoperability standards; Electronic Health records(EHR); Artifical Intelligence Techniques. Natural Language Processing (NLP), Word2Vec, skip gram, CBOW

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Section: Introductionmentioning

confidence: 99%

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

Naveed

Sigwele²,

Hu³

et al. 2020

jesr

View full text Add to dashboard Cite

show abstract

“…Interoperability is widely acknowledged as a key requirement for the success of healthcare information systems. For example, the interoperability has a considerable benefits to national economies throughout the world, it has been estimated at USD\$77.8B [3] in the USA alone. Therefore, organizations proposed several approaches to provide interoperability.…”

Section: Introductionmentioning

confidence: 99%

SecFHIR: A Security Specification Model for Fast Healthcare Interoperability Resources

Altamimi¹

2016

ijacsa

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Abstract-Patients taking medical treatment in distinct healthcare institutions have their information deeply fragmented between very different locations. All this information ---probably with different formats ---may be used or exchanged to deliver professional healthcare services. As the exchange of information/ interoperability is a key requirement for the success of healthcare process, various predefined e-health standards have been developed. Such standards are designed to facilitate information interoperability in common formats. Fast Healthcare Interoperability Resources (FHIR) is a newly open healthcare data standard that aims to providing electronic healthcare interoperability. FHIR was coined in 2014 to address limitations caused by the ad-hoc implementation and the distributed nature of modern medical care information systems. Patient's data or resources are structured and standard in FHIR through a highly readable format such as XML or JSON. However, despite the unique features of FHIR, it is not a security protocol, nor does it provide any security-related functionality. In this paper, we propose a security specification model (SecFHIR) to support the development of intuitive policy schemes that are mapping directly to the healthcare environment. The formal semantics for SecFHIR are based on the well-established typing and the independent platform properties of XML. Specifically, patients' data are modeled in FHIR using XML documents. In our model, we assume that these XML resources are defined by a set of schemes. Since XML Schema is a well-formed XML document, the permission specification can be easily integrated to the schema itself, then the specified permissions are applied to instance objects without any change. In other words, our security model (SecFHIR) defines permissions on XML schemes level, which implicitly specify the permissions on XML resources. Using these schemes, SecFHIR can combine them to support complex constraints over XML resources. This will result in reusable permissions, which efficiently simplify the security administration and achieve finegrained access control. We also discuss the core elements of the proposed model, as well as the integration with the FHIR framework.

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Android framework for automatic diagnosis of heart diseases

Santos

Dutra

Moreira

et al. 2017

2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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A Middleware to Support HL7 Standards for the Integration between Healthcare Applications

Cited by 6 publications

References 10 publications

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

SecFHIR: A Security Specification Model for Fast Healthcare Interoperability Resources

Android framework for automatic diagnosis of heart diseases

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