Resumo É inegável o papel dos avanços tecnológicos para o fortalecimento da saúde. No tocante às tecnologias digitais, trata do uso crescente dos sistemas de informação e análise de dados em saúde nas ações de preparo, vigilância e resposta a surtos epidemiológicos, tema abordado neste artigo no contexto da pandemia provocada pelo vírus Sars-CoV-2 no estado do Rio Grande do Norte. Este estudo parte do pressuposto de que é possível potencializar a gestão da resposta à Covid-19 por meio da saúde digital. Assim, a pesquisa desenvolveu um Ecossistema tecnológico que integra diferentes sistemas de informação para atender as necessidades previstas nas normativas internacionais frente à pandemia. Este artigo descreve, além do Ecossistema e sua estrutura, um conjunto de análises sobre a aplicação desse dispositivo por diversos atores institucionais. O Ecossistema foi a principal ferramenta em uso no estado para o processo decisório em resposta à Covid-19, sendo um modelo para a intervenção de saúde digital no Sistema Único de Saúde. A experiência do Rio Grande do Norte reúne, portanto, elementos que contribuem para os estudos sobre resiliência de sistemas e análises de políticas públicas em saúde em situações de emergência.

Abstract Technological advances play an undeniable role in strengthening health systems. With regard to digital technologies, information systems and the analysis of health data are playing a growing role in health surveillance and preparing for and responding to disease outbreaks, the theme addressed by this article within the context of the Covid-19 pandemic in the State of Rio Grande do Norte. This study departs from the assumption that digital health interventions can increase Covid-19 response capacity. We developed a technology ecosystem that integrates different information systems to meet the needs outlined in international regulations governing the response to the pandemic. In addition to the main elements of the ecosystem, this article describes the application of this instrument by different institutional actors. The main decision making tool used in the state government’s Covid-19 response, the ecosystem is a model for digital health interventions in Brazil’s national health service. This experience in Rio Grande do Norte brings together elements that can contribute to studies investigating the resilience of health systems and analyzing health policies in emergency situations.

Resumo É inegável o papel dos avanços tecnológicos para o fortalecimento da saúde. No tocante às tecnologias digitais, trata do uso crescente dos sistemas de informação e análise de dados em saúde nas ações de preparo, vigilância e resposta a surtos epidemiológicos, tema abordado neste artigo no contexto da pandemia provocada pelo vírus Sars-CoV-2 no estado do Rio Grande do Norte. Este estudo parte do pressuposto de que é possível potencializar a gestão da resposta à Covid-19 por meio da saúde digital. Assim, a pesquisa desenvolveu um Ecossistema tecnológico que integra diferentes sistemas de informação para atender as necessidades previstas nas normativas internacionais frente à pandemia. Este artigo descreve, além do Ecossistema e sua estrutura, um conjunto de análises sobre a aplicação desse dispositivo por diversos atores institucionais. O Ecossistema foi a principal ferramenta em uso no estado para o processo decisório em resposta à Covid-19, sendo um modelo para a intervenção de saúde digital no Sistema Único de Saúde. A experiência do Rio Grande do Norte reúne, portanto, elementos que contribuem para os estudos sobre resiliência de sistemas e análises de políticas públicas em saúde em situações de emergência.

Abstract Technological advances play an undeniable role in strengthening health systems. With regard to digital technologies, information systems and the analysis of health data are playing a growing role in health surveillance and preparing for and responding to disease outbreaks, the theme addressed by this article within the context of the Covid-19 pandemic in the State of Rio Grande do Norte. This study departs from the assumption that digital health interventions can increase Covid-19 response capacity. We developed a technology ecosystem that integrates different information systems to meet the needs outlined in international regulations governing the response to the pandemic. In addition to the main elements of the ecosystem, this article describes the application of this instrument by different institutional actors. The main decision making tool used in the state government’s Covid-19 response, the ecosystem is a model for digital health interventions in Brazil’s national health service. This experience in Rio Grande do Norte brings together elements that can contribute to studies investigating the resilience of health systems and analyzing health policies in emergency situations.

RESUMO Objetivo identificar o perfil das teleconsultorias assíncronas na área da saúde auditiva do Núcleo Técnico Científico de Telessaúde do Rio Grande do Norte (RN). Métodos este estudo é retrospectivo e descritivo. Foram analisados os registros das teleconsultorias de janeiro de 2015 a dezembro de 2019 na plataforma de teleconsultoria do Núcleo de Telessaúde do RN. As teleconsultorias foram filtradas e categorizadas por dois fonoaudiólogos quanto a estado de origem, gênero e profissão do solicitante, tema e objetivo da questão. Resultados entre as teleconsultorias realizadas no período, foram incluídas, neste estudo, as teleconsultorias na área da saúde auditiva. Em ordem decrescente de frequência, os profissionais solicitantes foram: agentes comunitários de saúde, fonoaudiólogos, agentes de combate a endemias, médicos, enfermeiros, agentes de saúde pública, técnicos e auxiliares de enfermagem e outros. Quanto aos objetivos das teleconsultorias, de maior a menor frequência, foram constatadas perguntas sobre condutas, avaliação, tratamento, relações entre fatores, etiologias, prevenção, sintomas, implantação, acesso ao sistema de saúde e outras. Em relação às temáticas, em ordem descendente, foram observadas perguntas sobre hipoacusia, dispositivos auxiliares de audição, zumbido, otite, programa saúde na escola, emissões otoacústicas, otalgia, labirintite e perfuração timpânica. Conclusão as teleconsultorias assíncronas sobre saúde auditiva tiveram maior frequência por solicitantes do gênero feminino, agentes comunitários de saúde e fonoaudiólogos, sobre a temática da hipoacusia e de dispositivos auxiliares de audição, com objetivo de tomada de decisões para condutas e avaliação na área da saúde auditiva.

ABSTRACT Objective To identify the profile of asynchronous hearing health teleconsulting at the Scientific-Technical Center for Telehealth in Rio Grande do Norte (RN). Methods This study is retrospective and descriptive. Teleconsulting records from January 2015 to December 2019 on the telehealth platform of the Telehealth Center of RN were analyzed. The teleconsultations were filtered and categorized by two speech-language therapists regarding the applicant's state of origin, gender and profession, theme and objective of the question. Results Among the teleconsultations carried out in the period, the ones regarding the hearing health area were included in this study. In decreasing order of frequency, the requesting professionals were: community health agents, speech-language therapists, endemic disease control agents, doctors, nurses, public health agents, nursing technicians and assistants and others. As for the objectives of teleconsulting, from higher to lower frequency, were identified questions about: conduct, evaluation, treatment, relations among factors, etiologies, prevention, symptoms, implementation, access to the health system and others. Concerning the themes, in descending order, were observed questions about hearing loss, hearing aid devices, tinnitus, otitis, school health program, otoacoustic emissions, otalgia, labyrinthitis and tympanic perforation. Conclusion Asynchronous teleconsulting on hearing health was more frequent on female applicants, community health agents and speech-language therapists, concerning the theme of hearing loss and hearing aid devices, to make decisions for conducts and evaluation in the health area hearing.

RESUMO Objetivo Avaliar a acurácia de instrumentos de custo acessível para triagem auditiva de adultos e idosos. Método Este estudo foi realizado com usuários de um Serviço de Saúde Auditiva do SUS. Todos foram submetidos a triagem com o aplicativo de smartphone MoBASA, o audiômetro Telessaúde (TS) e a versão eletrônica do Questionário de Handicap da Audição para Idosos (Hearing Handicap Inventory for the Elderly – screening version - eHHIE-S). Os examinadores foram cegos quanto aos resultados dos testes de triagem e para os dados de audiometria de tom puro (ATP). Foram considerados com deficiência auditiva aqueles com média quadritonal na ATP maiores que 40 dB na melhor orelha. Sensibilidade, especificidade e valores preditivos positivo (VPP) e negativo (VPN) foram calculados. O índice Kappa foi usado como um indicador de concordância entre ATP e os resultados da triagem. Resultados A amostra constou de 80 indivíduos entre 18 a 94 anos (55,18 ± 20,21). Na ATP, 21 indivíduos (26,25%) apresentaram audição normal e 59 (73,75%) perda auditiva incapacitante. Nos testes de triagem auditiva observou-se valores de sensibilidade, especificidade, VPP e VPN maiores do que 75% no MoBASA e na sensibilidade e VPN do TS e eHHIE-S. Já a especificidade e VPP do TS e eHHIE-S foram inferiores a 75%. O índice Kappa indicou concordância substancial (0,6) entre o ATP e os resultados do MoBASA. No TS e eHHIE-S foi constatada regular concordância (0,3). Conclusão O MoBASA demonstrou ser um método acurado para triagem auditiva de adultos e idosos com perda auditiva incapacitante.

ABSTRACT Purpose To evaluate the accuracy of affordable instruments for hearing screening of adults and the elderly. Methods This study was carried out with users of a Hearing Health Service of the Unified Health System. All were screened with the MoBASA smartphone application, the Telehealth audiometer (TH) and the electronic version of the Hearing Handicap Inventory for the Elderly - screening version - eHHIE-S. The examiners were blinded to the results of the screening tests and pure tone audiometry (PTA). Hearing impairment was considered for those with a PTA quadritonal mean greater than 40 dB in the best ear. Sensitivity, specificity and positive and negative predictive values (PPV and NPV, respectively) were calculated. The Kappa index was used as an agreement indicator between the PTA and the screening results. Results The sample consisted of 80 individuals between 18 and 94 years old (55.18 ± 20.21). In the PTA test, 21 individuals (26.25%) had typical hearing and 59 (73.75%) hearing loss. In the hearing screening tests, sensitivity, specificity, PPV and NPV values greater than 75% were observed with the MoBASA as well as in terms of sensitivity and NPV of the TH and the eHHIE-S. The TH and the eHHIE-S specificity and PPV were less than 75%. The Kappa index indicated a substantial agreement (0.6) between the PTA and the MoBASA screening results. The TH and the eHHIE-S showed regular agreement (0.3). Conclusion MoBASA proved to be an accurate method for hearing screening of adults and the elderly with disabling hearing loss.

Abstract Introduction Brazilian Telehealth Program was instituted by the Ministry of Health in 2007. Its initial structure was composed by nine telehealth centers administered by public higher education institutions. No standards, processes, applications or quality indicators had been defined since its creation. All this, combined with the decentralization of the centers, led each one of them to develop their own system, with different programming languages and architectures. The lack of regulation and integration of the information with the Ministry of Health made it difficult to evaluate the program. In this context, this paper describes the specification, implementation and validation of an architecture, entitled SMART, to integrate the various telehealth platforms developed by the centers. Such architecture aims to standardize information so that the Ministry of Health can monitor and evaluate the results of Telehealth actions. Methods SMART’s architecture consists of four main components: a web tool for data manipulation; a web service to receive the center’s production data; a component responsible for converting the received data into decision support data; and a component that collects data from external sources to compose the data warehouse. Results The architecture was validated with performance tests, which were executed under extreme workloads. The results of the experiments were summarized in order to attest SMART’s effectiveness. Conclusion The analysis of the results obtained on real data shows that the project’s performance remained stable under the workloads and its high quality was proven due to the absence of errors during the experiments.

Abstract Introduction Premature Ventricular Contraction (PVC) is among the most common types of ventricular cardiac arrhythmia. However, it only poses danger if the person suffers from a heart disease, such as heart failure. Hence, this is an important factor to consider in heart disease people. This paper presents an ECG real-time analysis system for PVC detection. Methods This system is based on threshold adaptive methods and Redundant Discrete Wavelet Transform (RDWT), with a real-time approach. This analysis is based on wavelet coefficients energy for PVC detection. It is presented also a study to find the most indicated wavelet mother for ECG analysis application among the following wavelet families: Daubechies, Coiflets and Symlets. The system detection performance was validated on the MIT-BIH Arrhythmia Database. Results The best results were verified with db2 wavelet mother: the Sensitivity Se = 99.18%, Positive Predictive Value P+ = 99.15% and Specificity Sp = 99.94%, on 80.872 annotated beats, and 61.2 s processing speed for a half-hour record. Conclusion The proposed system exhibits reliable PVC detection, with real-time approach, and a simple algorithmic structure that can be implemented in many platforms.

Abstract Introduction According to the World Health Organization, about 9.2% of the 28 million newborns worldwide are stillborn. Besides, about 358,000 women died due to complications related to pregnancy in 2015. Part of these deaths could have been avoided with improving prenatal care agility to recognize problems during pregnancy. Based on that, many efforts have been made to provide technologies that can contribute to offer better access to information and assist in decision-making. In this context, this work presents an architecture to automate the classification and referral process of pregnant women between the basic health units and the referral hospital through a Telehealth platform. Methods The Telehealth architecture was developed in three components: The data acquisition component, responsible for collecting and inserting data; the data processing component, which is the core of the architecture implemented using expert systems to classify gestational risk; and the post-processing component, in charge of the delivery and analysis of cases. Results Acceptance test, system accuracy test based on rules and performance test were realized. For the tests, 1,380 referral forms of real situations were used. Conclusion On the results obtained with the analysis of real data, ILITIA, the developed architecture has met the requirements to assist medical specialists on gestational risk classification, which decreases the inconvenience of pregnant women displacement and the resulting costs.

Introduction: The communication of information systems with biomedical devices has become complex not only due to the existence of several private communication protocols, but also to the immutable way that software is embedded into these devices. In this sense, this paper proposes a service-oriented architecture to access biomedical devices as a way to abstract the mechanisms of writing and reading data from these devices, thus contributing to enable the focus of the development team of biomedical software to be intended for its functional requirements, i.e. business rules relevant to the problem domain. Methods The SOA-BD architecture consists of five main components: A Web Service for transport and conversion of the device data, Communication Protocols to access the devices, Data Parsers to preprocess data, a Device Repository to store data and transmitted information and Error handling, for error handling of these information. For the development of SOA-BD, technologies such as the XML language and the Java programming language were used. Besides, Software Engineering concepts such as Design Patterns were also used. For the validation of this work, data has been collected from vital sign monitors in an Intensive Care Unit using HL7 standards. Results The tests obtained a difference of about only 1 second in terms of response time with the use of SOA-BD. Conclusion SOA-BD achieves important results such as the reduction on the access protocol complexity, the opportunity for treating patients over long distances, allowing easier development of monitoring applications and interoperability with biomedical devices from diverse manufacturers.

INTRODUCTION: Patient monitoring will tend to decline in the coming years due to a shortage of physical and human resources in hospitals. Therefore, several studies define alternatives to improve patient monitoring using wireless networks. In these studies, a wireless network is used to transfer data generated by medical sensors without interacting with the traffic in the data network of the hospital. However, this approach should be avoided because there are demands for integration between user applications and patient monitoring. Therefore, this paper defines a patient monitoring system, called Wi-Bio, directed to the establishment of IEEE 802.11 networks that allows traffic generated by user applications. METHODS: The formal validation of Wi-Bio was made through the design of Petri nets, and performance analysis was performed through simulations of the Network Simulator 2 tool. The adoption of this approach is justified by the fact that Petri nets allow verification of logical correctness of the designed systems, while simulations allow behavioral analysis of Wi-Bio in overload scenarios where many patients are monitored. RESULTS: The results confirmed the validity of the designed Petri nets and showed that Wi-Bio is able to accomplish the temporal goals imposed by medical sensors, thereby promoting efficient integration of traffic present in the data network and the patient monitoring network. CONCLUSION: As described, Wi-Bio fulfilled its objectives and motivates future studies aimed at complementing the obtained results.

INTRODUÇÃO: O e-learning surgiu como uma forma complementar de ensino, trazendo consigo vantagens como o aumento da acessibilidade da informação, aprendizado personalizado, democratização do ensino e facilidade de atualização, distribuição e padronização do conteúdo. Neste sentido, o presente trabalho tem como objeto apresentar uma ferramenta, intitulada de ISE-SPL, cujo propósito é a geração automática de sistemas de e-learning para a educação médica, utilizando para isso sistemas ISE (Interactive Spaced-Education) e conceitos de Linhas de Produto de Software. MÉTODOS: A ferramenta consiste em uma metodologia inovadora para a educação médica que visa auxiliar o docente da área de saúde na sua prática pedagógica por meio do uso de tecnologias educacionais, todas baseadas na computação aplicada à saúde (Informática em Saúde). RESULTADOS: Os testes realizados para validar a ISE-SPL foram divididos em duas etapas: a primeira foi feita através da utilização de um software de análise de ferramentas semelhantes ao ISE-SPL, chamado S.P.L.O.T; e a segunda foi realizada através da aplicação de questionários de usabilidade aos docentes da área da saúde que utilizaram o ISE-SPL. CONCLUSÃO: Ambos os testes demonstraram resultados positivos, permitindo comprovar a eficiência e a utilidade da ferramenta de geração de softwares de e-learning para o docente da área da saúde.

INTRODUCTION: E-learning, which refers to the use of Internet-related technologies to improve knowledge and learning, has emerged as a complementary form of education, bringing advantages such as increased accessibility to information, personalized learning, democratization of education and ease of update, distribution and standardization of the content. In this sense, this paper aims to present a tool, named ISE-SPL, whose purpose is the automatic generation of E-learning systems for medical education, making use of ISE systems (Interactive Spaced-Education) and concepts of Software Product Lines. METHODS: The tool consists of an innovative methodology for medical education that aims to assist professors of healthcare in their teaching through the use of educational technologies, all based on computing applied to healthcare (Informatics in Health). RESULTS: The tests performed to validate the ISE-SPL were divided into two stages: the first was made by using a software analysis tool similar to ISE-SPL, called S.P.L.O.T and the second was performed through usability questionnaires to healthcare professors who used ISE-SPL. CONCLUSION: Both tests showed positive results, allowing to conclude that ISE-SPL is an efficient tool for generation of E-learning software and useful for teachers in healthcare.

INTRODUÇÃO: A Esclerose Lateral Amiotrófica (ELA) é uma doença neurodegenerativa, caracterizada por uma progressiva e fatal perda de neurônios motores do córtex cerebral, tronco encefálico e medula espinhal, mas que mantém preservada a atividade intelectual e cognitiva do paciente. Pacientes acometidos por essa doença irão invariavelmente necessitar do auxílio de ventiladores mecânicos. MÉTODOS: Foi utilizado um conjunto de hardware e software para realizar o monitoramento dos parâmetros respiratórios dos pacientes em leitos hospitalares como forma de auxiliar à equipe de saúde. O monitoramento desses parâmetros deu-se por meio de uma webcam, que capturava os valores exibidos na tela do ventilador mecânico, e do emprego de técnicas de visão computacional e Optical Character Recognition (OCR). Neste sentido, o sistema foi testado sob três condições de luminosidade diferentes para verificar a eficácia do mesmo. RESULTADOS: O sistema apresentou uma média geral de acertos de 94.90%. Além disso, quando a interferência luminosa foi mínima, o sistema obteve uma média geral de acertos de 97,76%. CONCLUSÃO: A adoção de um sistema computacional baseado em visão computacional para auxílio da equipe de saúde no monitoramento hospitalar de pacientes com ELA mostrou-se satisfatória. No entanto, a pesquisa mostrou que a adoção de um sistema com maior imunidade à interferências luminosas externas tende a apresentar melhores resultados.

INTRODUCTION: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by a progressive and fatal loss of motor neurons in the cerebral cortex, brainstem and spinal cord. In spite of that, the patient's intellectual and cognitive activity remains preserved. Patients affected by this disease will invariably need the help of mechanical ventilators. METHODS: A set of hardware and software was used to perform the monitoring of respiratory parameters of patients in hospital beds as a means of assisting the healthcare team. The monitoring of these parameters was performed by a webcam that captured the values displayed on the screen of the ventilator, and the employment of computer vision techniques and Optical Character Recognition (OCR). In this sense, the system was tested under three different lighting conditions to verify its effectiveness. RESULTS:The system presented an overall average of 94.90% of correct answers. Furthermore, when the luminous interference was minimum, it achieved an overall average of success of 97.76%. CONCLUSION: The adoption of a computational system based on computer vision to aid the healthcare team in hospital monitoring of patients with ALS was satisfactory. However, the research has shown that the adoption of a system with greater immunity to external light interference tends to achieve better results.

Uma identificação correta de transientes em sinais de ECG (Eletrocardiograma) pode auxiliar métodos de processamento de sinal de ECG, pois esse tipo de evento degrada o sinal e pode induzir a erros. Diante disso, o presente trabalho propõe uma arquitetura para a detecção desses fenômenos, seguindo a tendência atual da computação distribuída, na qual um sensor realiza a detecção dos transientes no momento da aquisição do sinal, e, em seguida, encaminha essa informação através de uma rede de comunicação de dados, desenvolvida especialmente para a automação hospitalar, até um dispositivo computacional que irá processar os dados ou então apresentá-los a um profissional capacitado para fazer a análise de forma manual. Para realizar a detecção de transientes, foi proposto um método matemático baseado na transformada Hilbert do sinal de ECG, aliado ao PM-AH (Protocolo Multiciclos para Automação Hospitalar), com adição de quadros neste, para que seja possível o envio da informação sobre a ocorrência de transientes junto aos dados do sinal de eletrocardiograma. Dentre os transientes possíveis, foi escolhido o ruído, por ser o fenômeno que mais interfere no processamento de sinais de ECG, onde testes foram realizados com a base de dados MIT-BIH Arrhythmia Database, enquanto uma análise matemática foi feita nos novos quadros do protocolo PM-AH, com o intuito de demonstrar a consistência do protocolo com esta adição.

A correct identification of transients in the ECG (electrocardiogram) can assist processing methods for ECG signals, since this type of event degrades the signal and can be misleading. Therefore, this paper proposes an architecture for detection of these phenomena, following the current trend of distributed computing, in which a sensor will detect transients at the time of signal acquisition, and then forward this information through a data communication network, designed specifically for hospital automation, to a computing device that will process the data or present it to a trained professional for manual analysis. To perform the detection of transients, a mathematical method based on the Hilbert transform of the ECG signal is proposed here, allied with the MP-HA (Multicycle Protocol for Hospital Automation), with the addition of frames, so that information on the occurrence of transients can be transmitted along with signal data of the electrocardiogram. Among the possible transients, noise was chosen because it is the phenomenon that interferes the most with the processing of ECG signals. Tests were performed using the MIT-BIH Arrhythmia Database, while a mathematical analysis was used in the new frames of the MP-HA protocol in order to demonstrate the consistency of the protocol with this addition.

O aumento nas demandas por gerenciamento, controle e monitoramento das informações na área da automação hospitalar tem promovido um maior volume de pesquisas que são indutoras do processo de inovação tecnológica na área da saúde. Neste contexto, um aspecto considerado importante na automatização do monitoramento de pacientes consiste na eficiência em detectar e informar em tempo hábil as anomalias encontradas nos sinais vitais dos pacientes. O procedimento de notificar as ocorrências dessas anomalias à equipe médica pode ser implementado por meio da geração e envio de alertas (sonoros ou visuais). Verificando a relevância desse tipo de demanda no ambiente hospitalar, o presente artigo descreve uma arquitetura que tem como fundamento a geração e o envio de alertas, cujos dados são advindos de pacientes internados em Unidades de Terapia Intensiva (UTI). A premissa foi, portanto, otimizar o processo de comunicação das anomalias detectadas de modo que a equipe médica responsável seja notificada de tais eventos de maneira mais eficiente. A arquitetura de comunicação, definida para o ambiente hospitalar, baseou-se em estudos realizados na UTI do Hospital Universitário Onofre Lopes (HUOL). Tais estudos possibilitaram uma análise de requisitos que permitiu definir um gerador de alertas personalizados, e o envio desses para dispositivos móveis das equipes médicas. O processo de envio dos alertas foi baseado em um algoritmo de escalonamento de tempo real, fazendo uso de um middleware e de computação móvel e distribuída, sendo esses os aspectos inovadores dessa arquitetura.

The increase in demand for the management, control and monitoring of information in hospitals has promoted a greater volume of research that induces the process of technological innovation in healthcare. In this context, an important aspect to consider in the automation of patient monitoring is the efficiency to detect and report anomalies in patients' vital signs in a timely manner. The procedure for notifying the medical staff of these anomalies can be implemented by generating and sending alerts (either audible or visual). Noting the relevance of this demand in the hospital environment, this paper describes an architecture based on the generation and transmission of alerts, whose data are coming from patients hospitalized in intensive care units (ICU). The premise was therefore to optimize the procedure for reporting deficiencies so that the medical staff in charge is notified of such events more efficiently. The communication architecture in hospitals, used in this paper, was based on studies conducted at the ICU of the University Hospital Onofre Lopes (HUOL). These studies allowed an analysis of requirements that lead to the definition of a generator of custom alerts, and the sending of these alerts to mobile devices kept by medical staff. The process of sending those alerts was based on a real time scheduling algorithm making use of a middleware and both mobile and distributed computing, which are the innovative aspects of this architecture.