Proceedings of the 12th International Conference on e-Health (EH2020)最新文献

{"title":"IDENTIFYING AND UNDERSTANDING OPIOID USE DISORDER IN CLINICAL NOTES","authors":"T. Workman, J. Kupersmith, J. Goulet, C. Spevak, C. Brandt, F. Sandbrink, M. Blackman, N. Shara, Q. Zeng-Treitler","doi":"10.33965/eh2020_202009l018","DOIUrl":"https://doi.org/10.33965/eh2020_202009l018","url":null,"abstract":"Opioid use, abuse and misuse afflicts many populations, including Veterans. The objective of this ten-year retrospective study was to identify documentation of potential opioid abuse, both treated and untreated, in clinical notes, by developing and applying a natural language processing tool to a corpus of clinical notes documenting the healthcare of U.S. Veterans. To better understand the issue of opioid abuse among Veterans, we also extracted descriptive data on prescription counts, patient demographics, and diagnoses. The natural language processing tool we developed achieved F1 scores of 88% and 91% in identifying opioid abuse with treatment, and without treatment, respectively, among U.S. Veterans receiving healthcare in the Baltimore, Maryland and Washington DC VA service regions. This resulted in identifying 809 additional patients experiencing opioid abuse. The descriptive data give insight by elucidating trends that enhance understanding of opioid abuse among Veterans receiving healthcare in these service regions, and suggest future research. information for traumatic brain injury, mental health issues, and pain diagnosis.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130044687","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}

{"title":"IMPLEMENTATION OF ELECTRONIC PRESCRIPTIONS: THE PHYSICIANS VIEW","authors":"K. D. Staric, M. Tilney, I. Chouvarda, P. Bukovec, H. Belani","doi":"10.33965/eh2020_202009l008","DOIUrl":"https://doi.org/10.33965/eh2020_202009l008","url":null,"abstract":"Connected Health is a paradigm shift looking after the individual and community health that is arising all over the world, applicable in a wide spectrum of care services, including primary care and electronic prescriptions (e-prescriptions), which are a core part of this ecosystem. Electronic prescribing has great potential as it reduces legibility problems associated with handwritten prescriptions, can automatically flag potential interactions, adverse effects improving patient safety and can facilitate operational pharmaceutical management including potentially reducing stock-outs. While e-prescriptions have been widely adopted, the manner of their application and monitoring needs further attention to optimize quality and reduce healthcare costs. The aim of this study was to investigate physicians’ opinions on e-prescriptions their usage. The additional goal was to identify possible problems that might occur during the integration. Using a trusted online survey website, a brief questionnaire comprising of 10 multiple choice questions have been sent to 120 physicians through e-mail in thirteen different countries. Survey was conducted from October 1 st until December 18 th 2018. As of December 2018, ninety-three questionnaires were complete and analysed. The survey showed that implementation of e-prescriptions is feasible. The time for writing e-prescriptions is not shortened comparing to handwritten prescriptions and the support system is not adequate. Nineteen (20%) of the physicians lacked computer and e-prescribing skills. The use of e-prescriptions was more difficult for older physicians, the correlation between lower age and less needed time for e-prescribing was statistically significant (P < 0.03). To increase its use, e-prescriptions users need to be informed how electronic health systems can be beneficial for the easier use of e-prescriptions. Adequate technical support and special training must be provided for older physicians, as they need more time for e prescribing.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130342458","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}

{"title":"ELECTRONIC REGISTRY SYSTEM FOR DIABETIC PATIENTS UNDERGOING HYPERBARIC OXYGEN THERAPY: DETERMINATION OF COMMON DATA ELEMENTS","authors":"Shahram Oliaei, N. Mehrabi, T. Noori, S. Saeidi, E. Mehraeen","doi":"10.33965/eh2020_202009l007","DOIUrl":"https://doi.org/10.33965/eh2020_202009l007","url":null,"abstract":"Background: The advent of electronic registries has increasingly provided an opportunity to improve healthcare services and advanced applied research. However, the delivery of effective hyperbaric technology services requires well-functioning electronic registry systems and patient information integration to support national and global analyses. Objectives: this study aimed to determine the most common data elements of an electronic registry for diabetic patients undergoing hyperbaric oxygen therapy (HBOT). Methods: This was a cross-sectional study that conducted in two main stages. The first phase involves a review of the current available evidence on the study aim. In this stage, we searched related articles in PubMed, Web of Science, Up To Date, Science Direct, and Scopus databases. In the next phase, using the researcher-made questionnaire, the essential data elements and technical features of an electronic registry system were validated. The statistical population of the present study consisted of 32 endocrinologists working in Golestan Hospital. The collected data was analyzed using descriptive statistics in SPSS version 26. Results: Through a full-text review of 12 related articles, the data elements (N=95) of an electronic registry for diabetic patients undergoing HBOT were identified and classified into three categories including: administrative (n=30), clinical (n=54), and technical (n=11). According to findings, among the 30 data elements of administrative category, 25 data elements and in clinical category, 50 data elements were selected by statistical population. Moreover, all identified technical features were selected by experts, except the \"decision making support\". Conclusions: In this study we identified and validated the data elements and technical features of an electronic registry system for HBOT-treated diabetic patients. These requirements make it possible to standardize data collection and improve health care services.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094688","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}

{"title":"DEEP LEARNING-BASED MOTION ACTIVITY RECOGNITION USING SMARTPHONE SENSORS","authors":"Saedeh Abbaspour Gildeh, Faranak Fotouhi, H. Fotouhi, M. Vahabi, M. Lindén","doi":"10.33965/eh2020_202009l016","DOIUrl":"https://doi.org/10.33965/eh2020_202009l016","url":null,"abstract":"MHealth systems establish a new way to transfer the health service to remote places. These systems offer significant benefits for continuous health monitoring. Motion activity recognition is one of the challenging mHealth use cases that incorporates continuous data collection and analysis of measurements. The main goal of this research is to analyze physical activity data. We employ measurements from the WISDM lab dataset 1 . These data are collected from participants performing motion activities. This data is then used by deep learning algorithms to predict special activities. In particular, CNN and CNN-LSTM algorithms are used to compare their accuracy, which resulted in approximately 95% and 97% respectively. Thus, the CNN-LSTM has higher accuracy in this analysis.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126443721","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}

{"title":"CYBERSECURITY IN PANDEMIC TIMES: CHALLENGES AND OPPORTUNITIES","authors":"A. Ferreira, R. Cruz-Correia","doi":"10.33965/eh2020_202009l017","DOIUrl":"https://doi.org/10.33965/eh2020_202009l017","url":null,"abstract":"In times of COVID-19 and isolation, many are the challenges related to a proper balance between patient's personal and sensitive data privacy and protection, and the need to use those data to better understand the disease and act in a more efficient and quick manner, to fight it Some research is available on how to tackle a few of these issues in isolation, however, there is a need for a more comprehensive overview of what are the current security challenges, what is being done to face them, and what still needs addressing Since the control of this pandemic depends on the actions of every individual, when there is no trust in the technology or services provided, allied to the fear and uncertainty of the current context, it is very difficult to provide an integrated and informed response to this disease The main goal of this paper is to expose and address vulnerabilities and risks associated to patients' data protection and COVID-19 Thirty-two direct, and 25 indirect consequences of COVID-19 to data privacy and cybersecurity, were identified There is the need for more comprehensive and resilient solutions addressed by the research community, from multidisciplinary sources of knowledge © Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020 All rights reserved","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133658596","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}

{"title":"ENGAGEMENT AND USAGE PATTERNS OF A MOBILE APPLICATION TO MONITOR DISEASE AND TREATMENT ADHERENCE IN PATIENTS WITH ASTHMA","authors":"R. Almeida, C. Jácome, P. Vieira-Marques, Ana Pereira, A. Sá-Sousa, R. Amaral, J. Valente, J. Fonseca","doi":"10.33965/eh2020_202009l012","DOIUrl":"https://doi.org/10.33965/eh2020_202009l012","url":null,"abstract":"Inhaled therapies are the cornerstone of effective asthma treatment and adequate inhaled medication adherence (IMA) is critical. mHealth technologies have shown to be promise for asthma self-management, including IMA improvement. InspirerMundi is a mobile application designed to support self-management of patients with asthma. It aims to transform the adherence to treatment into a positive experience through gamification and social interaction while allowing for ubiquitous verified IMA monitoring. The app includes an image-based inhaler usage detection tool, tools for reporting symptoms and burden of the asthma (disease monitoring) and Game & Peer support features. Still, the effectiveness of these tools depends on a regular app use and a real-life assessment of patient engagement and pattern of use is needed. This work evaluates the patient engagement, usage, and acceptance of InspirerMundi app during a real-world multicentre feasibility study. The app use was recommended for a 4-months period to 77 participants with persistent asthma. From those, 72 installed the app, with 67% of them beginning to use both the inhaler usage detection tool and the disease monitoring components within the first week. Over 95% used it more than once, with the period of usage (from first use to last registered monitoring in 2018) being over 30 days for almost 70% of the users, and over 90 days for around 35%. Nevertheless, the usage rate (ratio of the number of days with app usage and the period of use) had a median value of 0.6 and was above 75% for only 35% of the users, revealing room for improvement. the users started to use the app features right after installation and the usage patterns and retention rates indicate that InspirerMundi is well accepted among patients with asthma. was given, if required), at one month (T2) and at four months (T3). Data were collected on: demographics, patients’ opinions on mobile applications, satisfaction with InspirerMundi (global and regarding concerning different specific components, integration of functionalities, ease of use, and confidence; using a 5-item scale from 1, lower, to 5, highest), willingness to use and recommend the app, as well as the perceived impact of use. Data from the app database collected up to the end 2018, including a minimum of six months after inclusion in the study, were retrieved. To validate the inhaler introduced in the therapeutic plan by the user, images captured using the image-based inhaler usage detection tool were distributed by 16 reviewers, who visually checked for validity (inhaler visible in the photo and agreement with the app registered inhaler type).","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131651362","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}

{"title":"DIGITAL SUPPORT FOR A HUB-AND-SPOKE DISEASE NETWORK","authors":"Paolo Locatelli, F. Cirilli, Eliana Panno, S. Provenzano, R. Sanfilippo, P. Casali","doi":"10.33965/eh2020_202009c025","DOIUrl":"https://doi.org/10.33965/eh2020_202009c025","url":null,"abstract":"A disease network is a collaborative healthcare network focusing on a single disease, or a group of diseases, whether professional or formalized. A disease network may follow a “hub and spoke” model. Providing these networks with an efficient digital support poses some challenges. This paper describes the methodological approach to design the information system supporting such a disease network. After identifying a general model with network features, a use case related to the Italian Rare Cancer Network is reported.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996277","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}

{"title":"HOW ACCURATE DO YOU WANT IT? DEFINING MINIMUM REQUIRED ACCURACY FOR MEDICAL ARTIFICIAL INTELLIGENCE","authors":"Federico Sternini, Alice Ravizza, F. Cabitza","doi":"10.33965/eh2020_202009l019","DOIUrl":"https://doi.org/10.33965/eh2020_202009l019","url":null,"abstract":"Artificial intelligence (AI) is becoming a more and more common component of biomedical engineering solutions, and these latter systems are getting promising results in terms of diagnostic and prognostic accuracy. Medical AI (MAI) is then reaching the maturity level for its appropriate use in clinical practice, but to this end, its efficacy needs to be demonstrated first. Currently, this efficacy is proven in terms of the reported accuracy of the algorithm, especially for diagnostic tasks. But also in this case, how much accurate is “enough” accurate? To address this question means to define the minimum required accuracy for a system to be valid, that is fit to its intended use. To this aim, we propose a risk-based approach to the definition of adequate accuracy, in accordance with a risk-based regulatory classification. We investigated whether the current state of the art is already compliant with this standard-based approach, by performing a literature review in four application domains, one for each of the four risk classes we identified: the diagnosis of psoriasis, of knee osteoarthritis, the screening of breast cancer screening, and the detection of influenza outbreaks. The evaluation of the literature review highlighted that this approach is still not widely adopted, but that there is a partial presence of an implicit, conventional scheme that is similar to our proposal, especially in the high-impact literature. We also provide some guideline to assess the minimum required accuracy but also sheds light on the need for further official guidelines that ensure the wider application of the regulatory risk-based approach by the scholarly community of MAI.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131540448","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}

{"title":"ICT SUPPORTED OCCUPATIONAL STRESS MANAGEMENT: THE VIEWS OF HR MANAGERS IN SRI LANKAN SOFTWARE COMPANIES","authors":"M. Weerasekara, Åsa B. Smedberg, H. Sandmark","doi":"10.33965/eh2020_202009l004","DOIUrl":"https://doi.org/10.33965/eh2020_202009l004","url":null,"abstract":"The software industry is considered to be a growing industry worldwide but with a high propensity to cause stress reactions among employees due to its demanding and technology-driven nature. As a human capital-intensive industry, too much of stress on employees can also create a negative impact on the quality of work. Thus, organizations take numerous initiatives at both individual and organizational levels to address this problem. One area of concern is the use of ICT supported occupational stress management interventions. In Sri Lanka, the dominant ICT occupation today is software engineer, and there is a national awareness of mental health issues due to occupational stress. Thus this study aims to investigate current practices used to frame employees’ well-being inside software organizations in Sri Lanka, and to understand Sri Lankan software companies’ viewpoints of using ICT supported occupational stress management interventions through the lens of human resource (HR) managers. Ten HR managers were interviewed covering eight software companies. Through thematic analysis, we identified three main themes and multiple subthemes. Results revealed various types of individual level and organizational level strategies, policies and practices implemented to create a healthy work setting for the employees. Findings also show that the HR managers had limited knowledge and experiences of ICT supported occupational stress management interventions. Nevertheless, they appreciated the immediate possible benefits of ICT interventions and demonstrated the willingness to adopt them in their organizations. Moreover, they revealed several functional requirements and feature sets they would like to see in such applications to better support their employees. Therefore, this study can possibly provide insights for researchers and practitioners who are to design and develop ICT supported interventions to manage occupational stress, to promote well-being and healthy organizations.","PeriodicalId":393647,"journal":{"name":"Proceedings of the 12th International Conference on e-Health (EH2020)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126097449","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}