2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH)最新文献_第2页

Application of HL7 FHIR in a Microservice Architecture for Patient Navigation on Registration and Appointments HL7 FHIR在患者挂号预约导航微服务架构中的应用

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-13 DOI: 10.1109/SEH52539.2021.00015

Giovani Nícolas Bettoni, Thafarel Camargo, Bruno Gomes Tavares dos Santos, C. Flores, Filipe Santana da Silva

{"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}

引用次数: 3

On Medical Device Cybersecurity Compliance in EU 欧盟医疗器械网络安全合规性研究

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-11 DOI: 10.1109/SEH52539.2021.00011

Tuomas Granlund, Juha Vedenpää, Vlad Stirbu, T. Mikkonen

引用次数: 7

Wandering and getting lost: the architecture of an app activating local communities on dementia issues 徘徊和迷路:一个应用程序的架构，激活了痴呆症问题的当地社区

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-11 DOI: 10.1109/SEH52539.2021.00014

N. Andersen, Marco Chiarandini, J. Mauro

引用次数: 3

Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub COVID-19大流行期间的软件开发:堆栈溢出和GitHub分析

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-09 DOI: 10.1109/SEH52539.2021.00009

Pedro Almir Oliveira, P. Neto, Gleison Silva, I. Ibiapina, W. Lira, R. M. C. Andrade

{"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}

引用次数: 4

Blockchains’ federation for integrating distributed health data using a patient-centered approach 使用以患者为中心的方法集成分布式健康数据的区块链联盟

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-09 DOI: 10.1109/SEH52539.2021.00016

J. Rojo, Juan Hernández, J. M. Murillo, J. García-Alonso

{"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}

引用次数: 3

A Framework for Enabling Safe and Resilient Food Factories for Public Feeding Programs 为公共供膳计划建立安全和有弹性的食品工厂的框架

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 2021-03-08 DOI: 10.1109/SEH52539.2021.00008

Nataraj Kuntagod, Sanjay Podder, Satya Sai Srinivas Abbabathula, Venkatesh Subramanian, Giju Mathew, S. Mani

{"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}

引用次数: 0

Title Page i 第1页

2021 IEEE/ACM 3rd International Workshop on Software Engineering for Healthcare (SEH) Pub Date : 1969-06-01 DOI: 10.1109/sbac-pad49847.2020.00001

引用次数: 0