A Software Reference Architecture for IoT-Based Healthcare Applications

Filho, Itamir de Morais Barroca; Aquino, Gibeon Soares de

doi:10.1007/978-3-319-95171-3_15

Cited by 5 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another work presented in [14] also highlights the transformative potential of IoT technology in healthcare, citing its capacity to drive cost reductions and enhance health outcomes through the deployment of distributed applications. It delineates the multifaceted challenges encountered in developing and implementing IoT-based healthcare solutions, including interoperability, availability, usability, and security issues exacerbated by the heterogeneous nature of IoT systems.…”

Section: Sras For Ehrs and Healthcare Systemsmentioning

confidence: 99%

“…While various SRAs exist in the literature, offering reference architectures for healthcare systems [12,13], they are often tailored to speciőc contexts, such as IoT [14], or ignore crucial aspects of privacy and security in their designs [15]. To the best of our knowledge, there is currently no SRA speciőcally tailored for EHR systems that comprehensively addresses privacy and security concerns.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design a Software Reference Architecture to Enhance Privacy and Security in Electronic Health Records

Tertulino,

Ivaki,

Morais

2024

Preprint

View full text Add to dashboard Cite

Healthcare services and organizations rely on Electronic Health Records (EHRs) to manage, store, and transmit patient data records. Consequently, EHRs play a crucial role in providing high-quality services and maintaining the privacy and security of patients' sensitive data. However, designing such complex systems with security and privacy concerns is anything but simple. This study aims to propose a software reference architecture (SRA) tailored for Electronic Health Records (EHRs) with security and privacy considerations, intending to enhance the development of these systems. To achieve this goal, we analyze the classification of reference architectures (RAs), taking into account the primary security and privacy requirements of EHRs along with well-established architectural design methods. We propose a layered architecture for SRA with privacy and security considerations. Subsequently, we derive the following five architecture views for SRA: the feature diagram, the context diagram, the decomposition view, the layered view, and the deployment view. Each view showcases the SRA software architecture from a different perspective.Moreover, we conducted an evaluation of the proposed SRA through its application in a case study. Specifically, we applied the proposed SRA and derived the application architecture from a study focused on Brazilian EHRs. Our analysis highlights the potential issues arising from the absence of an SRA tailored for EHRs, particularly regarding privacy and security concerns surrounding patient data. Through this case study, we demonstrate the practical applicability of our proposed SRA in enhancing EHR systems.

show abstract

Section: Sras For Ehrs and Healthcare Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design a Software Reference Architecture to Enhance Privacy and Security in Electronic Health Records

Tertulino,

Ivaki,

Morais

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Also, this mechanism helps to improve availability since in case of attacks against a VM, other VMs are protected by virtualization layer. Moreover, secure key storage 2 Integrity 66,77,83,86,91,93,95,99,108,109,111,116,118,122,123,132,136 3 Confidentiality 63,65,66,71,75,83,86,90,91,93,99,110,112,116,118,120,126 4 Availability 63,66,70,75,76,78,79,81,87,90,91,98,103,104,109,111,…”

Section: Securitymentioning

confidence: 99%

“…In this architecture, collected data are transferred via Kafka to Spark for stream processing. Cloud/edge analytic layer is responsible for data gathering and analysis; also, machine learning algorithms can be applied in order to provide a deep analysis T A B L E 5 List of studies focusing on scalability challenges Item Challenge 1 Data management [72][73][74][75]79,82,84,87,90,102,104,107,112,117,118,123,125,[127][128][129]131 2 Control and configuration 17,68,70,78,84,104,109,123,124,126,131,135 3 Discovery and topic searching 17,64,67,72,90,96,97,101,115,124,133 4 Flexibility and extendibility 64,67,69,…”

Section: Scalabilitymentioning

confidence: 99%

Internet of Things architecture challenges: A systematic review

Nikoui

Rahmani

Balador

et al. 2020

Int J Communication

View full text Add to dashboard Cite

The Internet of Things (IoT) is a rapidly growing trend within many domains, such as automotive, avionics, automation, energy, and health. IoT architecture is the system of numerous elements, including sensors, protocols, actuators, cloud services, and layers. IoT architecture plays an important role to provide desired services. Nowadays, tens of IoT architectures are provided by the research community. Many challenges have been identified by the research community, including interoperability, security and privacy, reliability, energy constraints, scalability, and lack of common standards. However, to provide suitable IoT architecture, the importance and priority of requirements in different scenarios may vary, and requirement analysis should be regarded. To this end, this paper presents a systematic mapping survey to give a review of IoT architecture and provide a structured overview of research trends. Moreover, a technical taxonomy is presented for these challenges according to reviewed studies. This classification model can be used as a guideline for future works.

show abstract