Issues in Achieving Complete Interoperability while Sharing Electronic Health Records

Bhartiya, Shalini; Mehrotra, Deepti; Girdhar, Anup

doi:10.1016/j.procs.2016.02.033

Cited by 32 publications

(17 citation statements)

References 7 publications

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“…Other important clinical benefits include a reduction in medical errors and of medication errors, improving disease management, and improved quality of care [ 7 ]. However, the main limitation of EHR systems is related to interoperability [ 8 ]. Other limitations are related to data security, data exchange between healthcare organizations, or to the fact that they do not integrate any data about a patient’s lifestyle and wellness [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

Cernian

Tiganoaia

Sacală

et al. 2020

Sensors

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Currently there is not a single trusted infrastructure used for the exchange and storage of medical data along the healthcare value chain and, thus, there is no platform used for monitoring patients’ traceability within the entire healthcare chain. This situation leads to difficult communication and increased procedural costs, and thus it limits healthcare players from developing a better understanding and know-how of patients’ traceability that could further boost innovation and development of the best-fitted health services. PatientDataChain blockchain-based technology is a novel approach, based on a decentralized healthcare infrastructure that incorporates a trust layer in the healthcare value chain. Our aim was to provide an integrated vision based on interoperability principles, that relies on the usage of specific sensors from various wearable devices, allowing us to collect specific data from patients’ medical records. Interconnecting different healthcare providers, the collected data is integrated into a unitary personal health records (PHR) system, where the patient is the owner of his/her data. The decentralized nature of PatientDataChain, based on blockchain technology, leveraged the proper context to create a novel and improved data-sharing and exchange system, which is secure, flexible, and reliable. This approach brings increased benefits to data confidentiality and privacy, while providing secure access to patient medical records. This paper presents the design, implementation, and experimental validation of our proposed system, called PatientDataChain. The original contributions of our paper include the definition of the concept of unifying the entire healthcare value chain, the design of the architectural model of the system, the development of the system components, as well as the validation through a proof of concept (PoC) conducted with a medical clinic from Bucharest, using a dataset of 100 patients and over 1000 transactions. The proof of concept demonstrated the feasibility of the model in integrating the personal health records from heterogeneous sources (healthcare systems and sensors) in a unified, decentralized PHR system, with enhanced data exchange among healthcare players.

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Section: Introductionmentioning

confidence: 99%

PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

Cernian

Tiganoaia

Sacală

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Extensive research has been done on semantic interoperability of electronic health records. Authors in [8] explained that achieving semantic interoperability requires user intervention and thus limits the possibility of controlling and managing secured sharing of EHRs dynamically. Syntactic interoperability on the other hand has low-level technical issues like that of formats, schema and protocols that can be resolved using various techniques and approaches.…”

Section: A Related Workmentioning

confidence: 99%

“…In the context of interoperability, the key security issues are: whom to share; how to share; where to share that EHR data with such that no unauthorized access can be made to any data [7]. Another important challenge is assignment of authorization and access of required data to authorized person [8]. Moreover, ensuring confidentiality and privacy of patient's sensitive health data shared within the departments of one hospital as well as between different hospitals is another challenge to be addressed [9,10].…”

Section: Introductionmentioning

confidence: 99%

Similarity Analyzer for Semantic Interoperability of Electronic Health Records Using Artificial Intelligence (AI)

Naveed

Sigwele

et al. 2019

JESR

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The introduction of Electronic Health Records (EHR) has opened possibilities for solving interoperability issues within the healthcare sector. However, even with the introduction of EHRs, healthcare systems like hospitals and pharmacies remain isolated with no sharing of EHRs due to semantic interoperability issues. This paper extends our previous work in which we proposed a framework that dealt with semantic interoperability and security of EHR. The extension is the proposal of a cloud-based similarity analyzer for data structuring, data mapping, data modeling and conflict removal using Word2vec Artificial Intelligence (AI) technique. Different types of conflicts are removed from data in order to model data into common data types which can be interpreted by different stakeholders.

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“…In the context of interoperability, the key security issues are with whom to share; how to share and where to share that EHR data with such that no unauthorized access can be made to any data [8][9] [10].Another important challenge is control the access of required data to only authorized person [11]. Moreover, ensuring confidentiality and privacy of patient's sensitive health data shared within the departments of one hospital as well as between different hospitals is another challenge to be addressed.…”

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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Issues in Achieving Complete Interoperability while Sharing Electronic Health Records

Cited by 32 publications

References 7 publications

PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records

Similarity Analyzer for Semantic Interoperability of Electronic Health Records Using Artificial Intelligence (AI)

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

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