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Journal articles on the topic 'Healthcare architecture'

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1

Aguru, Aswani Devi, Erukala Suresh Babu, Soumya Ranjan Nayak, Abhisek Sethy, and Amit Verma. "Integrated Industrial Reference Architecture for Smart Healthcare in Internet of Things: A Systematic Investigation." Algorithms 15, no. 9 (2022): 309. http://dx.doi.org/10.3390/a15090309.

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Internet of Things (IoT) is one of the efflorescing technologies of recent years with splendid real-time applications in the fields of healthcare, agriculture, transportation, industry, and environmental monitoring. In addition to the dominant applications and services of IoT, many challenges exist. As there is a lack of standardization for IoT technologies, the architecture emerged as the foremost challenge. The salient issues in designing an IoT architecture encompass connectivity, data handling, heterogeneity, privacy, scalability, and security. The standard IoT architectures are the ETSI I
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Hancock, Trevor. "Green Healthcare Architecture." Healthcare Quarterly 5, no. 4 (2002): 10–12. http://dx.doi.org/10.12927/hcq..16507.

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Chondamrongkul, Nacha, and Pattra Chondamrongkul. "Secure Mobile Cloud Architecture for Healthcare Application." International Journal of Future Computer and Communication 6, no. 3 (2017): 76–80. http://dx.doi.org/10.18178/ijfcc.2017.6.3.493.

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Mhatre, Anand Laxman. "Microservices Architecture for Healthcare." Journal of Artificial Intelligence, Machine Learning and Data Science 1, no. 4 (2023): 1590–92. https://doi.org/10.51219/jaimld/anand-laxman-mhatre/356.

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Ashutosh Rana. "Architecting for social impact: Leveraging technical design to empower education and beyond." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 2733–43. https://doi.org/10.30574/wjarr.2025.26.1.1313.

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This article describes the transformative role of technical architecture in driving societal change, with a particular focus on educational empowerment and cross-industry applications. The article details how modern technical architectures, incorporating cloud infrastructure, integration layers, and emerging technologies, enable digital transformation across sectors, including education, healthcare, and public administration. Through a comprehensive overview of implementation patterns, security frameworks, and sustainability considerations, the article illustrates how architectural decisions i
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El aboudi, Naoual, and Laila Benhlima. "Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation." Advances in Bioinformatics 2018 (June 21, 2018): 1–10. http://dx.doi.org/10.1155/2018/4059018.

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The growing amount of data in healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery. Despite the integration of big data processing approaches and platforms in existing data management architectures for healthcare systems, these architectures face difficulties in preventing emergency cases. The main contribution of this paper is proposing an extensible big data architecture based on both stream computing and batch computing in order to enhance further the reliability of healthcare systems by generating real-time alert
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Ghayyur, Shahbaz Ahmed Khan, Daud Awan, and Malik Sikander Hayat Khiyal. "A Case of Engineering Quality for Mobile Healthcare Applications Using Augmented Personal Software Process Improvement." Mobile Information Systems 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3091280.

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Mobile healthcare systems are currently considered as key research areas in the domain of software engineering. The adoption of modern technologies, for mobile healthcare systems, is a quick option for industry professionals. Software architecture is a key feature that contributes towards a software product, solution, or services. Software architecture helps in better communication, documentation of design decisions, risks identification, basis for reusability, scalability, scheduling, and reduced maintenance cost and lastly it helps to avoid software failures. Hence, in order to solve the abo
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Jaušovec, Marko, and Branko Gabrovec. "Architectural Evaluation of Healthcare Facilities: A Comprehensive Review and Implications for Building Design." Buildings 13, no. 12 (2023): 2926. http://dx.doi.org/10.3390/buildings13122926.

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The architectural design of healthcare institutions impacts patient experience and health outcomes. Facing challenges like demographic aging and evolving treatments, this study reviewed fourteen key publications on healthcare architecture. The insights gained have highlighted the need for qualitative methods to understand these environments. An integrated healthcare architecture framework (IHAF) was developed, integrating architectural guidelines, user experience, and sustainability. The IHAF emphasizes inclusive design, adaptability, patient-centricity, and staff well-being, focusing on eco-f
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Jabbar, Muhammad Abdul, Mahmood Hussain, Saad Farooqi, and Mohsin Ashraf. "Formal Modeling and Analysis of Integrated Healthcare System using Colored Petri Nets." VFAST Transactions on Software Engineering 10, no. 2 (2022): 211–26. http://dx.doi.org/10.21015/vtse.v10i2.1094.

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Given today's situation, when a disease like COVID-19 has engulfed the world, the importance of the Integrated Healthcare System (HCS) increases a lot. Pakistan's healthcare system is not linked. Due to which the patients have trouble in the flow required for treatment in the existing healthcare system. This research understands and integrates the healthcare system in Pakistan. For this purpose, a formal modeling technique is used which not only helps us to integrate the system but also validate and verify the system. First of all, this research reviews existing Healthcare Systems. A comprehen
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Rameshreddy Katkuri. "Revolutionizing healthcare with secure and scalable microservices." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 1731–39. https://doi.org/10.30574/wjarr.2025.26.1.1235.

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This article explores how healthcare organizations are transforming patient care delivery through microservices architecture. By decomposing monolithic systems into modular components, healthcare institutions achieve greater flexibility, security, and scalability. The transition to microservices architecture enables more efficient electronic health record systems, responsive telemedicine platforms, and sophisticated real-time analytics capabilities. Healthcare providers implementing microservices experience improved system interoperability, reduced operational costs, and enhanced compliance ma
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Shumba, Angela-Tafadzwa, Teodoro Montanaro, Ilaria Sergi, Luca Fachechi, Massimo De Vittorio, and Luigi Patrono. "Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications." Sensors 22, no. 19 (2022): 7675. http://dx.doi.org/10.3390/s22197675.

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Personalised healthcare has seen significant improvements due to the introduction of health monitoring technologies that allow wearable devices to unintrusively monitor physiological parameters such as heart health, blood pressure, sleep patterns, and blood glucose levels, among others. Additionally, utilising advanced sensing technologies based on flexible and innovative biocompatible materials in wearable devices allows high accuracy and precision measurement of biological signals. Furthermore, applying real-time Machine Learning algorithms to highly accurate physiological parameters allows
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Winter, Alfred, Sebastian Stäubert, Danny Ammon, et al. "Smart Medical Information Technology for Healthcare (SMITH)." Methods of Information in Medicine 57, S 01 (2018): e92-e105. http://dx.doi.org/10.3414/me18-02-0004.

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Summary Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH’s goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach. Objectives: To give insight into arc
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Momme, Melentu Giwa, Abdulaziz Anakobe Isa, Bashir Usman Mohammad, Sarkile Kawuwa Abubakar, and Mercy Poksireni Raymond. "Review of Kinetic Architecture in Healthcare Facilities." African Journal of Environmental Sciences and Renewable Energy 15, no. 1 (2024): 145–59. http://dx.doi.org/10.62154/baw1k771.

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The design of healthcare facilities, particularly infectious disease hospitals, plays a critical role in managing public health emergencies and ensuring effective patient care. This review explores the potential of kinetic architecture to enhance the design and functionality of infectious disease hospitals in Gombe State, Nigeria. Kinetic architecture, characterized by its dynamic and adaptive elements, offers innovative solutions for flexibility, adaptability, and infection control—key requirements for healthcare environments facing unpredictable challenges. The review examines the principles
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Roberts, Greg. "Book Review: Sustainable Healthcare Architecture." HERD: Health Environments Research & Design Journal 1, no. 2 (2008): 83. http://dx.doi.org/10.1177/193758670800100216.

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Cuddeback, Kelly T. "Book Review: Sustainable Healthcare Architecture." HERD: Health Environments Research & Design Journal 7, no. 2 (2014): 151–54. http://dx.doi.org/10.1177/193758671400700211.

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Chalasani, Suresh, Pradeep Jain, Parag Dhumal, Hoda Moghimi, and Nilmini Wickramasinghe. "Content architecture applications in healthcare." Health and Technology 4, no. 1 (2014): 11–19. http://dx.doi.org/10.1007/s12553-014-0075-x.

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Geetha Sharanya Bolla. "Enhancing healthcare access through modern data integration and microservices." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 4170–75. https://doi.org/10.30574/wjarr.2025.26.1.1573.

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Digital transformation in healthcare has accelerated dramatically, offering unprecedented opportunities to address persistent access barriers and quality challenges. This article explores how modern data integration and microservices architecture are fundamentally reshaping healthcare delivery models, particularly for underserved populations. The confluence of standardized APIs, cloud-based integration platforms, and modular software architectures enables healthcare organizations to transcend traditional geographical and technical limitations. Evidence demonstrates substantial improvements acr
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Ar., Farah Wahaj. "Make-shift Architecture - Hospitals." Journal of Research in Infrastructure Designing 4, no. 1 (2021): 1–5. https://doi.org/10.5281/zenodo.4905799.

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Part of what makes a building successful is how much it facilitates human interaction. In a world turned almost completely upside down as a result of the pandemic, there is a growing demand for architecture that encourages social distancing.
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Tesler, Nadezhda. "Evolution of medical architecture." MATEC Web of Conferences 170 (2018): 03015. http://dx.doi.org/10.1051/matecconf/201817003015.

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This article deals with the history of medical architecture development in Russia and abroad. Numerous examples of buildings of healthcare facilities, from ancient times to the present day, are given. Buildings of hospitals and clinics were erected in the architectural traditions then prevailing. Features of healthcare facilities, which determine their architectural concept, are: type and purpose of the healthcare facility, scope and structure of medical services, location in the urban environment, architectural environment, etc. When designing the construction and reconstruction of hospitals
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Sheik Asif Mehboob. "Enterprise architecture frameworks for integrating AI-driven diagnostics in healthcare systems: A comprehensive approach." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 535–42. https://doi.org/10.30574/wjarr.2025.26.1.1093.

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This article presents a comprehensive framework for implementing artificial intelligence and machine learning technologies within healthcare diagnostic systems through enterprise architecture approaches. The integration of AI-driven diagnostics into existing healthcare infrastructure presents significant challenges related to data interoperability, security protocols, regulatory compliance, and clinical workflow disruption. By examining architectural models specifically designed for healthcare settings, this article proposes systematic integration pathways that address these challenges while m
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Chinmay Mukeshbhai Gangani. "Developing Scalable Java Microservices for Healthcare Applications." Kuwait Journal of Advanced Computer Technology 1, no. 1 (2025): 18–28. https://doi.org/10.52783/kjact.269.

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Elderly people with infectious infections are challenging to treat; as they often present to consultations with severe, advanced symptoms, they are frequently sent to emergency care. The hypothesis was that a patient's health might be considerably enhanced and the strain on emergency health system services could be lessened by delaying an infectious illness diagnosis by a few days. Chatbots that can monitor a patient's status, deliver targeted information, promote drug adherence, and more might be especially helpful for patients with comorbidities or chronic illnesses. Chatbots need an appropr
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Saha, Parichiti, Biplab Biswas, and Milan Chauhan. "Universal Design Principles in Healthcare Environments." Journal of Progress in Civil Engineering 7, no. 5 (2025): 1–8. https://doi.org/10.53469/jpce.2025.07(05).01.

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This research aims to evaluate the application of the concept of inclusive architecture in the Trauma Center of North Sumatra through the lens of universal design principles. Inclusive architecture is defined as a design approach that ensures accessibility and usability for all individuals, regardless of their physical abilities, age, or other factors that may affect their interaction with the built environment. The study employs a qualitative methodology, utilizing case studies and observational analysis to assess the effectiveness of design elements that promote inclusivity. By examining the
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Kaur, Navjeet, Ayush Mittal, Ashok Kumar, and Rajesh Kumar. "Healthcare Monitoring Through Fog Computing: A Survey." ECS Transactions 107, no. 1 (2022): 7689–701. http://dx.doi.org/10.1149/10701.7689ecst.

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Healthcare is one of the prominent areas which requires a lot of improvements in terms of fast delivery of services to clients like patients, doctors, and hospitals. As the technology is growing rapidly, a number of healthcare devices and equipment are also increasing. These healthcare devices produce large volume of patient data on daily basis. The processing of the patients data is required in real time for critical cases where a quick decision can increase the lifespan of the patient. But conventional model of healthcare architecture using Cloud computing is unable to process huge health da
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Geetha Sharanya Bolla. "Integration Architecture Fundamentals for Healthcare Systems: A Framework for Seamless Interoperability." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 106–11. https://doi.org/10.32996/jcsts.2025.7.3.12.

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Integration architecture forms the foundation of modern healthcare information ecosystems, enabling disparate systems to communicate effectively and securely. The proliferation of specialized healthcare applications has created significant interoperability challenges, with fragmented systems hampering coordinated care delivery and operational efficiency. This article examines the fundamental components of healthcare integration architecture Application Programming Interfaces (APIs), middleware solutions, and data standards and their collective role in establishing seamless interoperability. Th
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Fetjah, Laila, Kebira Azbeg, Ouail Ouchetto, and Said Jai Andaloussi. "Towards a Smart Healthcare System." International Journal of Healthcare Information Systems and Informatics 16, no. 4 (2021): 1–18. http://dx.doi.org/10.4018/ijhisi.20211001.oa16.

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With the rapid development in smart medical devices, Internet of things has a large applicability in healthcare sector. The current system is based on a centralized communication with cloud servers. However, this architecture increases security and privacy risks. This paper describes an architecture of a smart healthcare system for remote patient monitoring. To ensure security and privacy, the architecture uses the Blockchain technology. For data analysis, smart contracts and artificial intelligence are used. The architecture is divided into three layers: smart medical devices layer, fog layer
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Joshua Idowu Akerele, Abel Uzoka, Pascal Ugochukwu Ojukwu, and Olugbenga Jeremiah Olamijuwon. "Improving healthcare application scalability through microservices architecture in the cloud." International Journal of Scientific Research Updates 8, no. 2 (2024): 100–109. http://dx.doi.org/10.53430/ijsru.2024.8.2.0064.

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This review paper explores the scalability of healthcare applications by adopting microservices architecture in cloud environments. As healthcare systems face increasing demands for efficient and flexible application performance, traditional monolithic architectures often struggle to accommodate fluctuating workloads and rapidly evolving technological landscapes. This paper highlights the fundamental characteristics of microservices, emphasizing their advantages over monolithic systems, particularly in enhancing agility and resource optimization. It further examines the role of cloud computing
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Nagaraju Vedicherla. "Modernizing medicaid systems through MITA framework: A comprehensive analysis." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 389–97. https://doi.org/10.30574/wjarr.2025.26.1.1069.

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This article examines the evolution and impact of the Medicaid Information Technology Architecture (MITA) framework in modernizing state Medicaid systems. The article traces the technological progression from mainframe-based legacy systems to modern cloud-based architectures, highlighting the critical limitations of pre-MITA approaches and the transformative potential of MITA's structured blueprint. Through detailed examination of MITA's architectural components—including business, information, application, and technology architectures—the article explores implementation strategies, challenges
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Rashid, Hani. "Re‐envisioning Healthcare Urbanism and Architecture." Architectural Design 91, no. 4 (2021): 104–11. http://dx.doi.org/10.1002/ad.2718.

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Lee, Jong-Yong, and Kye-Dong Jung. "Proposed Architecture for U-Healthcare Systems." International Journal of Advanced Culture Technology 4, no. 2 (2016): 43–46. http://dx.doi.org/10.17703/ijact.2016.4.2.43.

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Conejar, Regin Joy, and Haeng-Kon Kim. "Proposed Architecture for U-Healthcare Systems." International Journal of Software Engineering and Its Applications 9, no. 7 (2015): 213–18. http://dx.doi.org/10.14257/ijseia.2015.9.7.22.

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Conejar, Regin Joy, and Haeng-Kon Kim. "Home-Based U-Healthcare Systems Architecture." International Journal of Software Engineering and Its Applications 9, no. 8 (2015): 263–68. http://dx.doi.org/10.14257/ijseia.2015.9.8.24.

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Nandish Shivaprasad. "Metadata Repositories in Healthcare Data Architecture." Journal of Sustainable Solutions 1, no. 4 (2024): 176–86. https://doi.org/10.36676/j.sust.sol.v1.i4.50.

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Meta databases are also very important in managing healthcare information since they provide an effective framework for archiving different varieties of healthcare data. These repositories enhance data sharing and usage, aiming at data correspondence, accuracy, and security of the data in the health sector. Due to rising tendencies of developing complicated health care models, the management of metadata is crucial for enhancing the quality of the health care delivery and maintaining the legal requirements. In this paper, we examine technologies for metadata repositories and potential applicati
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Ebrahimi, Ali, Karim Mardomi, and Kasra Hassanpour Rahimabad. "Architecture Capabilities to Improve Healthcare Environments." Trauma Monthly 18, no. 1 (2013): 21–7. http://dx.doi.org/10.5812/traumamon.9999.

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Nidhi, Bhattacherjee D. Mustafi &. V. Bhattacharjee*. "A BIG DATA ARCHITECTURE FOR HEALTHCARE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 9, no. 4 (2020): 108–12. https://doi.org/10.5281/zenodo.3778449.

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These are testing times for organizations in the healthcare industry as it is transforming at an incredible velocity. The industry has been focusing on delivering better quality care and outcome at better prices in terms of affordability i.e. the industry is focusing more on value. The shift of healthcare towards digitization, ever increasing due to implementation and adoption of digital medical records, is now being utilized and combined with new age technologies like mobile communication, social networking, cloud computing and analytics. This paper presents an overview of applying Big data i
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Miroshnichenko, Yury V., Maria P. Shcherba, Andrey V. Merkulov, and Maria V. Davydova. "Drug provision model of patients based on an architectural approach in the context of digital transformation of military healthcare." Bulletin of the Russian Military Medical Academy 25, no. 3 (2023): 443–54. http://dx.doi.org/10.17816/brmma562750.

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According to architectural modeling (the architectural structure of an open group), typed blocks of elements forming the basic components or layers of the architecture of a military medical organization are considered, combined into six domains with a schematic representation as typical architecture. The rational allocation of layers, their contents, interrelations, and directions of development provide an opportunity to effectively manage the complex multidisciplinary military medical organization during digital transformation. For the introduction and implementation of digital solutions, the
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Botcha Vineela Rani. "Enhancing Health Information systems Integration and Interoperability through Smart Healthcare Data Hubs." Journal of Information Systems Engineering and Management 10, no. 31s (2025): 542–51. https://doi.org/10.52783/jisem.v10i31s.5108.

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When there is a scenario in which an organization operation is interacting with different cloud providers for organizational needs, it must have to address challenges like interoperability issues, and lack of resilience. The proposed architecture design for ensuring interoperability at Smart Healthcare Data Hubs (SHDH) addresses critical challenges such as integrating diverse data sources, maintaining data quality, and ensuring system resilience. By adopting a service-oriented architecture (SOA) approach, the design utilizes industry-standard protocols and data formats to facilitate seamless c
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Korzun, Dmitry G., Alexander V. Borodin, Ilya V. Paramonov, Andrey M. Vasilyev, and Sergey I. Balandin. "Smart Spaces Enabled Mobile Healthcare Services in Internet of Things Environments." International Journal of Embedded and Real-Time Communication Systems 6, no. 1 (2015): 1–27. http://dx.doi.org/10.4018/ijertcs.2015010101.

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The article studies the smart spaces approach applied for development of mobile healthcare (m-Health) services deploying in Internet of Things (IoT) environments. The authors consider a reference architecture model of the service ecosystem with focus on intelligent utilization of multi-source data originated from the IoT environment. Based on the architecture the authors introduce two reference scenarios: assistance in providing the first aid and communication with the hospital information system. For the architectural model and the scenarios pilot implementations are developed on the open sou
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Ben Elhadj, Hadda, Lamia Chaari, Saadi Boudjit, and Lotfi Kamoun. "Node and Hub Data Gathering Architectures for Healthcare Applications based on IEEE 802.15.6 Standard." International Journal of E-Health and Medical Communications 6, no. 3 (2015): 38–62. http://dx.doi.org/10.4018/ijehmc.2015070103.

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In this paper, the authors present a Node Management Entity (NME) and a Hub Management Entity (HME) architectures based on the Wireless Body Area Network (WBAN) standard. The proposed HME and NME combine cross and modular design architecture to ensure network reliability and enhance the WBAN Quality of Service (QoS). Furthermore, the authors propose an Adaptive Two-hop Routing protocol, termed ATR, a simple but yet efficient algorithm to provide reliable data dissemination in WBANs. The proposed ATR is evaluated under layered architecture and NME and HME entities. Simulation results show that
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Ferhati, Koudoua, and Marcel Gottschald. "Enhancing Fiscal Outcomes through Human-Centered Design: The Economic Benefits of Salutogenic Architecture in Public Health Care Facilities." Journal of Salutogenic Architecture 2, no. 1 (2023): 1–18. http://dx.doi.org/10.38027/jsalutogenic_vol2no1_1.

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The study aims to investigate the economic benefits of salutogenic architecture in public healthcare facilities. The research design involves a quantitative approach that will utilize a survey to gather pertinent data. The survey comprises a meticulously designed set of questions aimed at investigating the economic benefits of salutogenic architecture in public healthcare facilities across Algeria. For comprehensive coverage, the study will encompass a sample size of 60 healthcare facilities, representing approximately 10% of the total establishments distributed across various provinces (wilay
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Gundapuneni, Malathi. "Financial Architecture as a Blueprint for Healthcare: Modernizing Patient Data Systems While Ensuring Compliance." European Journal of Computer Science and Information Technology 13, no. 41 (2025): 61–74. https://doi.org/10.37745/ejcsit.2013/vol13n416174.

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Healthcare systems face unprecedented challenges managing aging infrastructure while meeting demands for data-driven care delivery. Financial technology platforms have successfully navigated similar transformation journeys, yielding architectural patterns directly applicable to healthcare modernization. The integration of modular service design, secure standardized APIs, and policy-as-code frameworks enables healthcare organizations to reimagine electronic health record systems while maintaining rigorous compliance controls. These architectural principles support advanced healthcare use cases
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Abughazalah, Mona, Wafaa Alsaggaf, Shireen Saifuddin, and Shahenda Sarhan. "Centralized vs. Decentralized Cloud Computing in Healthcare." Applied Sciences 14, no. 17 (2024): 7765. http://dx.doi.org/10.3390/app14177765.

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Healthcare is one of the industries that seeks to deliver medical services to patients on time. One of the issues it currently grapples with is real-time patient data exchange between various healthcare organizations. This challenge was solved by both centralized and decentralized cloud computing architecture solutions. In this paper, we review the current state of these two cloud computing architectures in the health sector with regard to the effect on the efficiency of Health Information Exchange (HIE) systems. Our study seeks to determine the relevance of these cloud computing approaches in
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Lingkau, Mingalu Pangare, Kuo Ling Haoseng, Mingalu Pangare Lingkau, Mingalu Pangare Lingkau, and Yong Meng Phaotangu. "Healthcare and IoT devices: role of information technology in the healthcare industry." Business & IT XII, no. 1 (2022): 169–76. http://dx.doi.org/10.14311/bit.2022.01.20.

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Today, wearable health products play a crucial role in most locations, such as constant wellness monitoring of people, street traffic management, weather forecasting, along with smart house. These sensor devices constantly generate massive amounts of data and are kept in cloud computing. This particular chapter proposes Internet of Things design to store and system scalable sensor information for healthcare apps. Proposed architecture comprises 2 primary architecture, specifically, MetaFog-Redirection and Choosing and Grouping architecture. Though cloud computing offers scalable data storage,
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Sallabi, Farag M., Heba M. Khater, Asadullah Tariq, Mohammad Hayajneh, Khaled Shuaib, and Ezedin S. Barka. "Smart Healthcare Network Management: A Comprehensive Review." Mathematics 13, no. 6 (2025): 988. https://doi.org/10.3390/math13060988.

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Recent developments in sensors, wireless communications, and data processing technologies are the main drivers for adopting the Internet of Things (IoT) in healthcare systems. IoT-based healthcare systems can enhance the quality of life significantly and help prevent the occurrence of health problems and epidemics. Deploying IoT-based healthcare on a massive scale raises several issues and challenges. One of the main challenges is the management of the end-to-end network connections of the IoT-based healthcare system. This paper presents a comprehensive survey of smart network management proto
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Semih Yildirim, H. "The Financial Architecture of Turkish Healthcare PPPs." International Journal of Business & Management Studies 04, no. 06 (2023): 14–20. http://dx.doi.org/10.56734/ijbms.v4n6a3.

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Turkey's Healthcare Transformation Program has successfully leveraged Public-private partnerships (PPPs) to address the growing demand for infrastructure funding in the healthcare sector. Before the Covid-19 pandemic struck Turkey, the influx of private capital played a crucial role in expediting the construction and upgrading of healthcare facilities. This timely collaboration between the public and private sectors not only expanded the capacity and capabilities of the healthcare system but also ensured its readiness to address the increasing demands caused by the pandemic. This paper examine
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Journal, IJSREM. "Healthcare System Using Blockchain." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28677.

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The global Electronic Health Record (EHR) market is growing dramatically and is expected to reach $39.7 billion by 2022. To safeguard the security and privacy of EHR, access control is an essential mechanism for managing EHR data. This paper proposes a hybrid architecture to facilitate access control of EHR data by using both blockchain and edge nodes. Within the architecture, a blockchain-based controller manages identity and access control policies and serves as a tamper-proof log of access events. In addition, off-chain edge nodes store the EHR data and apply policies specified in Abbreviat
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Ghorai, Aindrila. "PEGA Context-Driven Architecture in Healthcare: Enhancing Efficiency and Patient Care." International Journal of Science and Research (IJSR) 10, no. 11 (2021): 1539–41. http://dx.doi.org/10.21275/sr24615150447.

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47

Gupta, Neha, Pradeep Kumar Juneja, Sachin Sharma, and Umang Garg. "A proposed customized architecture for 5G-IoT based smart healthcare system: 5G-IoT-SHS." Journal of Information and Optimization Sciences 44, no. 6 (2023): 1179–94. http://dx.doi.org/10.47974/jios-1456.

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The emergence of new technology is making enormous changes in healthcare which is the largest industry in the world. Therefore, a smart healthcare system is required that can communicate across different available network devices and applications. This will enable patients and doctors to trace, observe and record sensitive patient data with medical readings. The Internet of things (IoT) has a great contribution to put the healthcare sector in its leading state to provide the safe and healthy environment for patients and to enable doctors to give outstanding care remotely. The integration of 5G
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48

S., BÎRLEANU. "oT Architecture and Applications in Healthcare Systems." Scientific Bulletin of Naval Academy XXIV, no. 1 (2021): 97–102. http://dx.doi.org/10.21279/1454-864x-21-i1-011.

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This paper provides a detailed overview of the intelligent health system that uses the concept of the Internet of Things. Various technologies implemented together with their applications are analyzed in this paper. An increasing number of IoT devices are currently available on the market to support patients, each with different technologies are explored into this document. The paper also presents a comparison between different sensors used in the field of healthcare and their types, IoT architecture, tools and technologies used for the development of IoT systems in the field of healthcare.
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49

Chousiadis, C., I. K. Mavridis, and G. I. Pangalos. "An authentication architecture for healthcare information systems." Health Informatics Journal 8, no. 4 (2002): 199–204. http://dx.doi.org/10.1177/146045820200800406.

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Mukherjee, Mukta, Suresh Chalasani, and Derek Riley. "Mobile Technologies in Healthcare: Approaches and Architecture." AIMS International Journal of Management 11, no. 1 (2017): 01. http://dx.doi.org/10.26573/2017.11.1.1.

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