2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)最新文献_第9页

Is there a relationship between frailty indices and balance assessment in older people? 老年人的脆弱指数和平衡评估之间是否存在关系?

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749515

A. Chkeir, Doha Safieddine, Farah Chehade, J. Duchêne, D. Hewson, D. Bera, M. Collart, J. Novella, M. Dramé

引用次数: 2

Intelligent depression detection and support system: Statistical analysis, psychological review and design implication 智能抑郁检测与支持系统:统计分析、心理学回顾与设计启示

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749494

Mashrura Tasnim, Rifat Shahriyar, Nowshin Nahar, Hossain Mahmud

引用次数: 18

Economic evaluation of m-Health: Case of e-ambulance in Japan 移动医疗的经济评价:以日本的电子救护车为例

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749505

Y. Matsumoto, M. Ogawa, M. Tsuji

{"title":"Economic evaluation of m-Health: Case of e-ambulance in Japan","authors":"Y. Matsumoto, M. Ogawa, M. Tsuji","doi":"10.1109/HealthCom.2016.7749505","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749505","url":null,"abstract":"This study aims at evaluating the economic effect of a e-ambulance project, or emergency telemedicine in the rural areas in Kouchi Prefecture in Japan. Ambulances equipped with ICT devices which transmit images of acute patients to remote hospitals are focused on. Kouchi Prefecture started the e-ambulance project in Aki and Muroto Cities in 2012. From two cities, it takes approximately one hour to reach emergency hospitals located in Kouchi City, the prefectural capital. One of the merits of e-ambulance with the image transmitting system is that doctors in accepting hospitals can monitor real time situation of a patient and prepare for necessary treatment prior to the time patient arrives. They thus save time and effort. In measuring benefit, this study employs different methodology; the e-ambulance project enhances wellness of residents since they perceive more secure. Thus the CVM (Contingent valuation method) is applied and WTP (willingness to pay) is used as an index of benefit and estimated based on surveys to residents, which amounts to 1,747 yen per resident per year. Total cost calculated is 381,792,228 yen over three years, and accordingly, B/C ratio amounts 0.459.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961356","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

Dynamic fine-grained access control in e-Health using: The secure SQL server system as an enabler of the future Internet 电子健康使用中的动态细粒度访问控制:安全的SQL服务器系统作为未来互联网的推动者

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749462

A. Paulin, Christoph Thuemmler

引用次数: 5

Metrics for eHealth services improvement 改善电子医疗服务的指标

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749425

G. Dantanarayana, T. Sahama

{"title":"Metrics for eHealth services improvement","authors":"G. Dantanarayana, T. Sahama","doi":"10.1109/HealthCom.2016.7749425","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749425","url":null,"abstract":"Identification of appropriate performance measures in healthcare is fundamental for judging quality of service in any healthcare organisation. However, the dynamic nature of the healthcare context and complexity of stakeholder requirements have resulted in many difficulties in deciding appropriateness of performance factors to measure outcomes. Yet another facet that hinders achievement of successful performance measuring approaches is the unavailability of systematic guidance to identify the relationship between different types of performance measures. Further, it is important to analyse this relationship by using existing electronic data sets which will ensure the data quality in determining the healthcare service quality. This is an ongoing research attempting to establish a Return on Investment (ROI) model that could facilitate performance measurement of eHealth service deployment while overcoming the aforementioned deficiencies. The systematic guidance of deciding key performance factors considering different healthcare value perspectives in order to establish ROI metrics for the healthcare context, specifically in ICU clinical settings, have been introduced in this paper. It can be served as a theoretical basis in ensuring data quality in eHealth data sources. The advantage of the proposed guidance is in extracting appropriate key performance indicators for measuring outcomes of ICU clinical settings in terms of available process indicators while the relevant data for these indicators could be retrieved from the data warehouse.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243436","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

A non invasive and intelligent method for cardiovascular parameters tele-monitoring 一种无创、智能化的心血管参数远程监测方法

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749435

R. B. Salah, T. Hadidi, I. B. Salah, K. Ouni, S. Mansouri, S. Chabchoub

{"title":"A non invasive and intelligent method for cardiovascular parameters tele-monitoring","authors":"R. B. Salah, T. Hadidi, I. B. Salah, K. Ouni, S. Mansouri, S. Chabchoub","doi":"10.1109/HealthCom.2016.7749435","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749435","url":null,"abstract":"The innovation of our method is to design a new techniques with multiple capabilities, autonomy and automatic applications in the tele-monitoring and diagnosis of some cardiovascular parameters relative to a certain categories of patients (elderly, children, pregnant women) with cardiovascular diseases. Theoretical model of transthoracic impedance is performed in order to determine aortic pressure with a non-invasive method: the bioimpedance method. The start idea is that aortic impedance variation depends on aortic section, which depends on systolic and diastolic pressure, during cardiac cycle. Theoretical relationships, between electrical bioimpedanc signal and aortic and ventricular pressures are therefore established. The second parameters are the cardiac output Q. The third parameters determined is the arterial compliance C. Results reflect those reached in bibliography, that Cp is significantly reduced in hypertensive patients (Cp=0.48 ± 0.09 E-10 m5.N; normal value of Cp is 1.76 ± 0.28 E-10 m5.N). All this parameters are monitored using telemedicine techniques.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122400296","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

Exploiting dental implants for creating wired implantable health monitoring devices 利用牙科植入物制造有线植入健康监测装置

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749529

S. Hemati, Sepideh Rahmani

引用次数: 0

A conceptual model for integrating social and health care services at home: The H@H project 综合家庭社会和保健服务的概念模式:H@H项目

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749489

F. Pecoraro, D. Luzi, E. Pourabbas, F. Ricci

引用次数: 7

HI-risk: A method to analyse health information risk intelligence HI-risk:卫生信息风险情报分析方法

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749536

W. Buchanan, N. V. Deursen

{"title":"HI-risk: A method to analyse health information risk intelligence","authors":"W. Buchanan, N. V. Deursen","doi":"10.1109/HealthCom.2016.7749536","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749536","url":null,"abstract":"Information security threat intelligence is a prevalent topic amongst researchers, long-established IT-vendors and start-ups. The possibilities of Big Data analytics to security threat and vulnerability scanning offer a significant development in the protection of infrastructures. At the same time, industry research reports continue to state that the main contributing factor in the events leading to a data breach is human error. The common response of information security professionals is to resort to technological solutions to prevent these human errors. However, some very important information security intelligence is not hidden within the network traffic: it's available from the people that work with sensitive information. This article describes the Health Information risk (HI-risk) method to identify non-technical information security risks in healthcare. The method includes risks related to skills, behaviour, processes, organisational culture, physical security, and external influences. HI-risk offers a solution to collect intelligence about nontechnical information security incidents from across the healthcare sector to demonstrate past trends and to be ahead of future incidents. A test of a HI-risk forecast proved the feasibility of this approach in healthcare and beyond. It is suggested that HI-risk could become a valuable addition to existing technical threat and vulnerability monitoring tools.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128743629","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

Sleep apnea detection using a feed-forward neural network on ECG signal 基于前馈神经网络的心电信号睡眠呼吸暂停检测

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) Pub Date : 2016-09-01 DOI: 10.1109/HealthCom.2016.7749468

A. Pinho, Nuno Pombo, N. Garcia

引用次数: 20