Pub Date : 2021-03-13DOI: 10.1109/SEH52539.2021.00015
Giovani Nícolas Bettoni, Thafarel Camargo, Bruno Gomes Tavares dos Santos, C. Flores, Filipe Santana da Silva
Electronic Health Record Systems (EHR-S) are commonly developed in monolithic architectures. This architectural style presents greater complexity and demands more effort when we think of interoperability. A solution proposal is the creation of Microservices that use HL7 FHIR as an interoperability strategy. In this sense, it is presented the development of a prototype, based on a microservices architecture, to act in a real scenario of Patient Navigation (PN). The problem was subdivided into 3 steps: definition of architecture, development and construction of an interface to simulate the role of the navigator. The Patient and Appointment microservices are capable of synchronous communication to query and record information. In general, the implemented architectural style not only isolates information domains but can receive data from multiple sources while maintaining essential functionality. This type of approach plays a crucial role in a hospital environment, specifically in PN, highlighting the importance of the standard and expanding the possibilities for further research to be conducted.
{"title":"Application of HL7 FHIR in a Microservice Architecture for Patient Navigation on Registration and Appointments","authors":"Giovani Nícolas Bettoni, Thafarel Camargo, Bruno Gomes Tavares dos Santos, C. Flores, Filipe Santana da Silva","doi":"10.1109/SEH52539.2021.00015","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00015","url":null,"abstract":"Electronic Health Record Systems (EHR-S) are commonly developed in monolithic architectures. This architectural style presents greater complexity and demands more effort when we think of interoperability. A solution proposal is the creation of Microservices that use HL7 FHIR as an interoperability strategy. In this sense, it is presented the development of a prototype, based on a microservices architecture, to act in a real scenario of Patient Navigation (PN). The problem was subdivided into 3 steps: definition of architecture, development and construction of an interface to simulate the role of the navigator. The Patient and Appointment microservices are capable of synchronous communication to query and record information. In general, the implemented architectural style not only isolates information domains but can receive data from multiple sources while maintaining essential functionality. This type of approach plays a crucial role in a hospital environment, specifically in PN, highlighting the importance of the standard and expanding the possibilities for further research to be conducted.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117056976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.1109/SEH52539.2021.00011
Tuomas Granlund, Juha Vedenpää, Vlad Stirbu, T. Mikkonen
The medical device products at the European Union market must be safe and effective. To ensure this, medical device manufacturers must comply to the new regulatory requirements brought by the Medical Device Regulation (MDR) and the In Vitro Diagnostic Medical Device Regulation (IVDR). In general, the new regulations increase regulatory requirements and oversight, especially for medical software, and this is also true for requirements related to cybersecurity, which are now explicitly addressed in the legislation. The significant legislation changes currently underway, combined with increased cybersecurity requirements, create unique challenges for manufacturers to comply with the regulatory framework. In this paper, we review the new cybersecurity requirements in the light of currently available guidance documents, and pinpoint four core concepts around which cybersecurity compliance can be built. We argue that these core concepts form a foundations for cybersecurity compliance in the European Union regulatory framework.
{"title":"On Medical Device Cybersecurity Compliance in EU","authors":"Tuomas Granlund, Juha Vedenpää, Vlad Stirbu, T. Mikkonen","doi":"10.1109/SEH52539.2021.00011","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00011","url":null,"abstract":"The medical device products at the European Union market must be safe and effective. To ensure this, medical device manufacturers must comply to the new regulatory requirements brought by the Medical Device Regulation (MDR) and the In Vitro Diagnostic Medical Device Regulation (IVDR). In general, the new regulations increase regulatory requirements and oversight, especially for medical software, and this is also true for requirements related to cybersecurity, which are now explicitly addressed in the legislation. The significant legislation changes currently underway, combined with increased cybersecurity requirements, create unique challenges for manufacturers to comply with the regulatory framework. In this paper, we review the new cybersecurity requirements in the light of currently available guidance documents, and pinpoint four core concepts around which cybersecurity compliance can be built. We argue that these core concepts form a foundations for cybersecurity compliance in the European Union regulatory framework.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.1109/SEH52539.2021.00014
N. Andersen, Marco Chiarandini, J. Mauro
We describe the architecture of Sammen Om Demens (SOD), an application for portable devices aiming at helping persons with dementia when wandering and getting lost through the involvement of caregivers, family members, and ordinary citizens who volunteer.To enable the real-time detection of a person with dementia that has lost orientation, we transfer location data at high frequency from a frontend on the smartphone of a person with dementia to a backend system. The backend system must be able to cope with the high throughput data and carry out possibly heavy computations for the detection of anomalous behavior via artificial intelligence techniques. This sets certain performance and architectural requirements on the design of the backend.In the paper, we discuss our design and implementation choices for the backend of SOD that involve microservices and serverless services to achieve efficiency and scalability. We give evidence of the achieved goals by deploying the SOD backend on a public cloud and measuring the performance on simulated load tests.
我们描述了Sammen Om Demens (SOD)的架构，这是一种便携式设备的应用程序，旨在通过护理人员、家庭成员和志愿者的普通公民的参与，帮助痴呆症患者流浪和迷路。为了能够实时检测失去方向的痴呆症患者，我们将痴呆症患者智能手机前端的位置数据高频传输到后端系统。后端系统必须能够处理高吞吐量数据，并通过人工智能技术进行可能的大量计算，以检测异常行为。这对后端设计设置了一定的性能和体系结构要求。在本文中，我们讨论了SOD后端的设计和实现选择，包括微服务和无服务器服务，以实现效率和可扩展性。我们通过在公共云上部署SOD后端并在模拟负载测试中测量性能来证明已实现的目标。
{"title":"Wandering and getting lost: the architecture of an app activating local communities on dementia issues","authors":"N. Andersen, Marco Chiarandini, J. Mauro","doi":"10.1109/SEH52539.2021.00014","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00014","url":null,"abstract":"We describe the architecture of Sammen Om Demens (SOD), an application for portable devices aiming at helping persons with dementia when wandering and getting lost through the involvement of caregivers, family members, and ordinary citizens who volunteer.To enable the real-time detection of a person with dementia that has lost orientation, we transfer location data at high frequency from a frontend on the smartphone of a person with dementia to a backend system. The backend system must be able to cope with the high throughput data and carry out possibly heavy computations for the detection of anomalous behavior via artificial intelligence techniques. This sets certain performance and architectural requirements on the design of the backend.In the paper, we discuss our design and implementation choices for the backend of SOD that involve microservices and serverless services to achieve efficiency and scalability. We give evidence of the achieved goals by deploying the SOD backend on a public cloud and measuring the performance on simulated load tests.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123720114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-09DOI: 10.1109/SEH52539.2021.00009
Pedro Almir Oliveira, P. Neto, Gleison Silva, I. Ibiapina, W. Lira, R. M. C. Andrade
The new coronavirus became a severe health issue for the world. This situation has motivated studies of different areas to combat this pandemic. In software engineering, we point out data visualization projects to follow the disease evolution, machine learning to estimate the pandemic behavior, and computer vision processing radiologic images. Most of these projects are stored in version control systems, and there are discussions about them in Question & Answer websites. In this work, we conducted a Mining Software Repository on a large number of questions and projects aiming to find trends that could help researchers and practitioners to fight against the coronavirus. We analyzed 1,190 questions from Stack Overflow and Data Science Q&A and 60,352 GitHub projects. We identified a correlation between the questions and projects throughout the pandemic. The main questions about coronavirus are how-to, related to web scraping and data visualization, using Python, JavaScript, and R. The most recurrent GitHub projects are machine learning projects, using JavaScript, Python, and Java.
{"title":"Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub","authors":"Pedro Almir Oliveira, P. Neto, Gleison Silva, I. Ibiapina, W. Lira, R. M. C. Andrade","doi":"10.1109/SEH52539.2021.00009","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00009","url":null,"abstract":"The new coronavirus became a severe health issue for the world. This situation has motivated studies of different areas to combat this pandemic. In software engineering, we point out data visualization projects to follow the disease evolution, machine learning to estimate the pandemic behavior, and computer vision processing radiologic images. Most of these projects are stored in version control systems, and there are discussions about them in Question & Answer websites. In this work, we conducted a Mining Software Repository on a large number of questions and projects aiming to find trends that could help researchers and practitioners to fight against the coronavirus. We analyzed 1,190 questions from Stack Overflow and Data Science Q&A and 60,352 GitHub projects. We identified a correlation between the questions and projects throughout the pandemic. The main questions about coronavirus are how-to, related to web scraping and data visualization, using Python, JavaScript, and R. The most recurrent GitHub projects are machine learning projects, using JavaScript, Python, and Java.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-09DOI: 10.1109/SEH52539.2021.00016
J. Rojo, Juan Hernández, J. M. Murillo, J. García-Alonso
Today’s world is a globalized and connected one, where people are increasingly moving around and interacting with a greater number of services and devices of all kinds, including those that allow them to monitor their health. However, each company, institution or health system usually store its patients’ data in an isolated way. Although this approach can have some benefits related with privacy, security, etc., it also implies that each one of them generates different, incomplete and possibly contradictory views of a patient’s health data, losing part of the value that this information could bring to the patient. That is the reason why researchers from all over the world are determined to replace the current institution-centered health systems with new patient-centered ones. In these new systems, all the health information of a patient is integrated into a unique global vision. However, some questions are still unanswered. Specifically, who should store and maintain the information of a given patient and how should this information be made available for other systems. To address this situation, this work proposes a new solution towards making the Personal Health Trajectory of patients available for both, the patients themselves and health institutions. By using the concept of blockchains’ federation and web services access to the global vision of a person health can be granted to existing and new solutions. To demonstrate the viability of the proposal, an implementation is provided alongside the obtained results in a potential scenario.
{"title":"Blockchains’ federation for integrating distributed health data using a patient-centered approach","authors":"J. Rojo, Juan Hernández, J. M. Murillo, J. García-Alonso","doi":"10.1109/SEH52539.2021.00016","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00016","url":null,"abstract":"Today’s world is a globalized and connected one, where people are increasingly moving around and interacting with a greater number of services and devices of all kinds, including those that allow them to monitor their health. However, each company, institution or health system usually store its patients’ data in an isolated way. Although this approach can have some benefits related with privacy, security, etc., it also implies that each one of them generates different, incomplete and possibly contradictory views of a patient’s health data, losing part of the value that this information could bring to the patient. That is the reason why researchers from all over the world are determined to replace the current institution-centered health systems with new patient-centered ones. In these new systems, all the health information of a patient is integrated into a unique global vision. However, some questions are still unanswered. Specifically, who should store and maintain the information of a given patient and how should this information be made available for other systems. To address this situation, this work proposes a new solution towards making the Personal Health Trajectory of patients available for both, the patients themselves and health institutions. By using the concept of blockchains’ federation and web services access to the global vision of a person health can be granted to existing and new solutions. To demonstrate the viability of the proposal, an implementation is provided alongside the obtained results in a potential scenario.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123694401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-08DOI: 10.1109/SEH52539.2021.00008
Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, S. Mani
Public feeding programs continue to be a major source of nutrition to a large part of the population across the world. Any disruption to food factories that support these activities, like the one during the Covid-19 pandemic, can lead to adverse health outcomes, especially among children. Policymakers and other stakeholders must balance the need for continuing food-factory operations while ensuring the health and safety of workers. This has led to several innovations that leverage advanced technologies like AI and IoT to monitor the health and safety of workers and ensure hygienic operations. However, there are practical challenges in its implementation on a large scale.This paper presents an implementation framework to build resilient food factories for public feeding using a combination of intelligent technologies. The framework is a result of piloting the technology solution at a facility run as part of a large mid-day meal feeding program in India. Using existing resources like CCTV cameras and new technologies like AI and IoT, hygiene and safety compliance anomalies can be detected and reported in a resource-efficient manner. It will guide stakeholders running food factories for public feeding as they seek to restart suspended operations and build systems that better adapt to future crises.
{"title":"A Framework for Enabling Safe and Resilient Food Factories for Public Feeding Programs","authors":"Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, S. Mani","doi":"10.1109/SEH52539.2021.00008","DOIUrl":"https://doi.org/10.1109/SEH52539.2021.00008","url":null,"abstract":"Public feeding programs continue to be a major source of nutrition to a large part of the population across the world. Any disruption to food factories that support these activities, like the one during the Covid-19 pandemic, can lead to adverse health outcomes, especially among children. Policymakers and other stakeholders must balance the need for continuing food-factory operations while ensuring the health and safety of workers. This has led to several innovations that leverage advanced technologies like AI and IoT to monitor the health and safety of workers and ensure hygienic operations. However, there are practical challenges in its implementation on a large scale.This paper presents an implementation framework to build resilient food factories for public feeding using a combination of intelligent technologies. The framework is a result of piloting the technology solution at a facility run as part of a large mid-day meal feeding program in India. Using existing resources like CCTV cameras and new technologies like AI and IoT, hygiene and safety compliance anomalies can be detected and reported in a resource-efficient manner. It will guide stakeholders running food factories for public feeding as they seek to restart suspended operations and build systems that better adapt to future crises.","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114706452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1969-06-01DOI: 10.1109/sbac-pad49847.2020.00001
{"title":"Title Page i","authors":"","doi":"10.1109/sbac-pad49847.2020.00001","DOIUrl":"https://doi.org/10.1109/sbac-pad49847.2020.00001","url":null,"abstract":"","PeriodicalId":415051,"journal":{"name":"2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1969-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131230478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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