28 research outputs found

    Adaptive Business Intelligence platform and its contribution as a support in the evolution of Hospital 4.0

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    For many years there has been debate about what healthcare systems will look like in the future. Covid-19 has caused all Healthcare organizations to quickly adopt new solutions and evolution in this sector is a certainty. This research looks at the role that an Adaptive Business Intelligence (ABI) system can play in the evolution to a Hospital 4.0 and how it needs to evolve to achieve full integration between hospital services and the technological solutions. Thus, the first version of this system is explained and that will serve as a basis for the development of a more robust platform, with a view to a more effective environment, both for the professionals and for the main beneficiary of this type of service, the patient.FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/202

    Lightweight IoT platform for rapid application development and deployment

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    Sensors connected to the cloud services equipped with data analytics has created a plethora of new type of applications from personal to industrial levels. In other words, the smart devices, the network, and the data come together to form Internet-of-Things (IoT). In this context, IoT provides an opportunity to increase efficiency in how things are done. IoT-based system normally follows a pattern of data collection, data analytics, automation, and system improvement recommendations. However, most application would have its own unique requirements in terms of smart devices, communication technologies as well as its application provisioning service. Although various services are commercially available that provide services such as Backend-as-a-service (BaaS) and Software-as-a-service (SaaS) hosted on the cloud, this, in turn, raises the issues of security and privacy. Individuals and organizations alike would like to protect their sensitive information for various reasons. Therefore, in this project, a lightweight and secure IoT platform is proposed. The platform consists of Raspberry Pi as an IoT device with a pre-configured image that contains hotspot module, user login, PHP, Apache server, MySQL database, Node.js, and Domain Name Server (DNS). The platform also contains a middleware that provides Application Programming Interfaces (API) for both the sensor layer and the application layer. Moreover, the platform has a Graphical User Interface (GUI) designed using Angular to provide management tools and to enable data display sent by the IoT device for the end-user. The middleware is designed using JavaScript programming language in Node.js development framework to provide a lightweight and scalable features which is proven to save up to 45% of memory. The middleware is connected to NoSQL database that allows the platform to be distributed and thus, enhance security and privacy. The performance analysis of the system shows the developed platform has a Hypertext Transfer Protocol (HTTP) operation which is around 600 Bytes, with the system processor not exceeding 6% of usage. It also demonstrates a reduction by 53% and 41% of byte size and time consumed, respectively, for GET operation over a Local Area Network in UTM campus

    CLOUD COMPUTING IN HEALTHCARE

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    Information Technology (IT) has modernizedhealthcare sector via the newest development. Cloud computing in healthcare is budding and charming as crucial methodologies by most of the stakeholders.  It has the special ability to offer infinite capacity and power of process in the e-healthcare sector.This leads computer to be used efficiently and exclusively by the sharing of resources in healthcare. This paper provide a review of some proposed cloud based e-healthcare architectures edge along with issues inbothtechnologies and the crucial reasons of enhancingforward to a cloud based e-healthcare especially in Malaysia

    Assessing the Determinants of Cloud Computing Services for Utilizing Health Information Systems: A Case Study

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    Health information systems refer to the utilization of IT-related systems to capture, store, manage, or transmit information related to the health of individuals or the activities within the health sector. Utilizing cloud services in the healthcare sector is a flexible solution to improve the performance of an organization as it can provide numerous features such as self-service, ubiquitous network access, resource pooling, rapid elasticity, and pay-per-use pattern. A preliminary study was conducted in the Iraqi public healthcare sector to obtain preliminary data acquisition about the current situation of IT and to determine the key factors associated with the utilization of cloud computing to foster current health information systems. During the study, a total of 30 technicians and physicians from four hospitals in Iraq were invited for interview in which the researcher directed questions in a semi-structured form. The findings of the investigation concluded the key determinant factors; these include factors related to the environmental structure such as software, hardware, cost, network, and training. Other factors that were found related to the system such as compatibility, complexity, data security and privacy. These two aspects were found to influence personal factors related to the behavioural control and confirmation to utilize cloud computing services in this sector

    Success factors affecting the healthcare professionals to utilize cloud computing services

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    Integrating the new technologies to improve the healthcare services can be seen as one of the research trends nowadays, as earlier studies have recommended the potential of emerging technologies in enhancing healthcare service practices by means of providing more opportunities to carry out activities essential for prevention, diagnosis, monitoring, and treatment of the disease. Involving the cloud computing services in healthcare domain can offer a way for handling and maintaining health data by making use of software applications hosted on the Internet. To ensure successful cloud computing utilization, a pre-examination on the context of usage should be applied in order to collect the real needs to guarantee getting all the possible benefits of this technology. In Iraq, the health records of public hospitals consist of various types of data which continue to increase in velocity, volume, and variety progressively. This has led to several major issues to the health sectors from two perspectives, data complexity and low IT integrity. For that reason, managing and maintaining all these health data are essential to healthcare organizations. In this paper, we collected the success factors that may influence the healthcare professionals to utilize cloud computing services for the health sector in Iraq. This is done by conducting an interview with 30 physicians and technicians from four hospitals in Iraq, then a literature survey was carried out to verify that all the gathered factors are within the circumstance of healthcare. It has been found that eight factors may affect the perspective of healthcare professionals to utilize cloud computing services. Finally, a conceptual model was developed based on the findings

    Secure Hardware Performance Analysis in Virtualized Cloud Environment

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    The main obstacle in mass adoption of cloud computing for database operations is the data security issue. In this paper, it is shown that IT services particularly in hardware performance evaluation in virtual machine can be accomplished effectively without IT personnel gaining access to real data for diagnostic and remediation purposes. The proposed mechanisms utilized TPC-H benchmark to achieve 2 objectives. First, the underlying hardware performance and consistency is supervised via a control system, which is constructed using a combination of TPC-H queries, linear regression, and machine learning techniques. Second, linear programming techniques are employed to provide input to the algorithms that construct stress-testing scenarios in the virtual machine, using the combination of TPC-H queries. These stress-testing scenarios serve 2 purposes. They provide the boundary resource threshold verification to the first control system, so that periodic training of the synthetic data sets for performance evaluation is not constrained by hardware inadequacy, particularly when the resources in the virtual machine are scaled up or down which results in the change of the utilization threshold. Secondly, they provide a platform for response time verification on critical transactions, so that the expected Quality of Service (QoS) from these transactions is assured

    A framework for cloud-based healthcare services to monitor noncommunicable diseases patient

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    Monitoring patients who have noncommunicable diseases is a big challenge. These illnesses require a continuous monitoring that leads to high cost for patients\u27 healthcare. Several solutions proposed reducing the impact of these diseases in terms of economic with respect to quality of services. One of the best solutions is mobile healthcare, where patients do not need to be hospitalized under supervision of caregivers. This paper presents a new hybrid framework based on mobile multimedia cloud that is scalable and efficient and provides cost-effective monitoring solution for noncommunicable disease patient. In order to validate the effectiveness of the framework, we also propose a novel evaluation model based on Analytical Hierarchy Process (AHP), which incorporates some criteria from multiple decision makers in the context of healthcare monitoring applications. Using the proposed evaluation model, we analyzed three possible frameworks (proposed hybrid framework, mobile, and multimedia frameworks) in terms of their applicability in the real healthcare environment

    Utilización de watermarking para seguridad en la nube: el caso de las imágenes médicas

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    En los últimos años, acompañando el rápido avance de las telecomunicaciones se ha desarrollado la telemedicina por medio de la cual los médicos pueden transferir y compartir los datos digitales de los pacientes en forma remota para determinar un diagnóstico definitivo. Por otra parte, actualmente la tendencia es llevar la información médica que se almacenaba en el propio centro de salud a la nube siendo esencial en estos casos proteger los datos médicos intercambiados. En las plataformas de Cloud Computing, la seguridad es todavía un problema importante a resolver. Se debe garantizar que las imágenes médicas se puedan compartir en forma segura preservándolas de cualquier intento de distorsión, como así también proporcionar privacidad en las cadenas de datos de las historias clínicas de salud o Electronic Health Records (EHR). Una alternativa de solución es la inserción de marcas de agua en las imágenes médicas, técnica conocida como watermarking, cuya aplicación en imágenes digitales empezó hace unas décadas. En este trabajo se propone que acompañe a las clásicas técnicas criptográficas para perfeccionar la seguridad en la nube.Eje: Seguridad Informática.Red de Universidades con Carreras en Informática (RedUNCI

    Next Generation Technologies for Smart Healthcare: Challenges, Vision, Model, Trends and Future Directions

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    Modern industry employs technologies for automation that may include Internet of Things (IoT), Cloud and/or Fog Computing, 5G as well as Artificial Intelligence (AI), Machine Learning (ML), or Blockchain. Currently, a part of research for the new industrial era is in the direction of improving healthcare services. This work throws light on some of the major challenges in providing affordable, efficient, secure and reliable healthcare from the viewpoint of computer and medical sciences. We describe a vision of how a holistic model can fulfill the growing demands of healthcare industry, and explain a conceptual model that can provide a complete solution for these increasing demands. In our model, we elucidate the components and their interaction at different levels, leveraging state‐of‐the art technologies in IoT, Fog computing, AI, ML and Blockchain. We finally describe current trends in this field and propose future directions to explore emerging paradigms and technologies on evolution of healthcare leveraging next generation computing systems

    The Impact of Setting up a Cloud Computing Solution on Small and Medium Organization’s Management: A Qualitative Study

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    As we know, organizations are systems that affect their surrounding environment and get involved with their environment. Any changes can impact the outcome of any operation and decision in the organization, no matter how small it is or how irrelevant, from the most straightforward operation or process to the most complicated functions and strategic decisions. Migrating to cloud computing is one of the most important enterprise goals. This technology impacts the use of information and communication profoundly. Its main goal is to provide data storage and net computing services that are secure, rapid, and convenient. In this sense, the small and medium enterprise is the most interested since initial investments are avoided, and the technology allows gradual implementation. The present study aims to introduce the advantages of implementing cloud computing in small and medium enterprises. This paper studies cloud computing and its impact on the organization, which was carried out using a qualitative methodology to show the elements that may get impacted the most and the consequences of its adoption. By interviewing 13 managers and experts from four small and medium companies. Qualitative content analysis and open coding were used to analyze the data. Subsequently, five sub-themes were extracted from the central theme of the impact of cloud implementation on operational management in organizations. The sub-themes included information access, communication, collaborative work, and customer and supplier relationships. We found out that migrating into the cloud for organizations is primarily beneficial, with some exceptions, of course, any system or any technology has flaws, but in the case of the cloud technology, the benefits are more cover the flaws, especially if the implementation was well planned and well maintained, and we provide all the conditions needed for the good functioning of this technology
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