{"title":"SOA Governance in Healthcare","authors":"Konstantinos Koumaditis, Marinos Themistocleous","doi":"10.4018/978-1-7998-1204-3.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch007","url":null,"abstract":"This chapter depicts the gradual development of a conceptual SOA Governance Framework tailored for healthcare organisations. The proposed framework presented herein is based on the authors' previous research and includes nine SOA Governance elements that need to be considered during the SOA process. The identification and conceptualisation of the elements were grounded in the normative literature and further developed to include healthcare specific aspects. This comes as a method to overcome the limitations identified in normative literature and enhance the elements' conceptualisation. Besides, the authors propose a unique design combining nine elements of SOA Governance with SOA Critical Success Factors (CSFs) and Healthcare Information Systems (HIS) challenges. This proposal aims to pinpoint attributes and guidelines for each element, required to successfully govern SOA and tackle longstanding HIS challenges. The framework is intended to be used as a decision supporting tool for SOA Governance in a healthcare setting.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487944","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":"Role of Bioinformatics in Nanotechnology","authors":"Harishchander Anandaram","doi":"10.4018/978-1-7998-1204-3.ch094","DOIUrl":"https://doi.org/10.4018/978-1-7998-1204-3.ch094","url":null,"abstract":"Recent advancements in bio-computing and nano-technology accelerated the discovery of novel biomarkers in the emerging field of personalized medicine. Personalized medicine deals with disease detection and therapy from the molecular profile of each individual. Personalized medicine is also called as predictive medicine that uses genetic/molecular information to predict disease development, progression, and clinical outcome. In this chapter, we discuss the advantages of using nanotechnology to understand biological systems with an example of the biomarker discovery of cancer. Recent developments in bio computing served as the base for the identification of multiplexed probes in a nano particle. Together we have correlated the bio molecular signatures with clinical outcomes and we have also addressed an emerging field called bio-nano-informatics to suggest an individual therapy for cancer and other diseases.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115860398","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":"Towards User Authentication Requirements for Mobile Computing","authors":"Yaira K. Rivera Sánchez, S. Demurjian","doi":"10.4018/978-1-5225-0448-1.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-0448-1.CH006","url":null,"abstract":"The emergence and ubiquity of mobile computing has placed powerful capabilities in one's hand providing a wide range of applications such as email, calendar, photos, browsers, social network, communication, shopping, health and fitness, games etc., which were once restricted to traditional platforms. Such applications on a single mobile device raise critical security issues related to managing identity, re-authenticating users that stay active for long periods of time, protecting sensitive PII and PHI against access and misuse, insuring secure transactions, and protecting the physical device. This chapter explores user authentication requirements for mobile computing by: evaluating alternative user authentication requirements in order to make recommendations on their usage in authentication; identifying authentication methods used in mobile healthcare applications; and proposing a set of requirements for user authentication to handle the situation when a user seeks to be securely authenticated across a set of applications that are placed into context within a framework.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231755","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":"Wired and Wireless Distributed e-Home Healthcare System","authors":"B. Sekar, Jia-Li Ma, M. Dong","doi":"10.4018/978-1-4666-9530-6.CH009","DOIUrl":"https://doi.org/10.4018/978-1-4666-9530-6.CH009","url":null,"abstract":"The proactive development in electronic health (e-health) has introduced seemingly endless number of applications such as telemedicine, electronic records, healthcare score cards, healthcare monitoring etc. Yet, these applications confront the key challenges of network dependence and medical personnel necessity, which hinders the development of universality of e-health services. To mitigate such key challenges, this chapter presents a versatile wired and wireless distributed e-home healthcare system. By exploiting the benefit of body sensor network and information communication technology, the dedicated system model methodically integrates some of the comprehensive functions such as pervasive health monitoring, remote healthcare data access, point-of-care signal interpretation and diagnosis, disease-driven uplink update and synchronization (UUS) scheme and emergency management to design a complete and independent e-home healthcare system.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946019","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":"Optimal Intervention Methods for Markovian Gene Regulatory Networks","authors":"Mohammadmahdi R. Yousefi","doi":"10.4018/978-1-5225-0353-8.CH005","DOIUrl":"https://doi.org/10.4018/978-1-5225-0353-8.CH005","url":null,"abstract":"A central problem in translational medicine is to provide a framework for deriving and studying effective intervention methods to elicit desired steady-state behavior for a gene regulatory network of interest with Markovian dynamics. Heretofore, two rather different external control approaches have been taken. The first optimizes a subjectively defined cost function while modeling treatment constraints; therefore, desirable shift of the steady-state mass is a by-product. The second approach, on the other hand, focuses solely on the steady-state behavior of the network and provides the maximal shift achievable. Although both approaches are optimal with respect to their objectives, the choice of which to use depends on the treatment goals.","PeriodicalId":177246,"journal":{"name":"Data Analytics in Medicine","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133210250","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}
京公网安备 11010802042870号
求助内容：
应助结果提醒方式：