Pub Date : 2014-10-01DOI: 10.1109/HealthCom.2014.7001851
Konda Divya Krishna, V. Akkala, R. Bharath, P. Rajalakshmi, M. Mateen
Ultrasound imaging has been widely used for preliminary diagnosis as it is non-invasive and has good scope for the doctors to analyze many diseases. Lack of trained sonographers make ultrasound imaging diagnosis time consuming to detect any abnormality. Sometimes the problem cannot exactly be identified which may lead to error in diagnosis. Hence in this paper we present computer aided automatic detection of abnormality in kidney on the ultrasound system itself, to decrease the time for reports and not to depend on the sonographer. We classified the kidney as normal and abnormal case. Segment the kidney region and extract Intensity histogram features and Haralick features from Gray Level Cooccurnace Matrix (GLCM). These features are calculated for a set of large data containing both normal and abnormal cases. Abnormal case includes kidney stone, cyst and bacterial infection. Standard deviation for each parameter is observed, considered only those features with less deviation and implemented on FPGA Kintex board. If the range of mean value is 1.08 to 1.336, skewness is 2.882 to 7.708, Kurtosis is 1.06 to 71.152, Cluster Shade is 72 to 243, Homogeneity is 0.993 to 0.998, the observed kidney image is normal otherwise abnormal.
{"title":"FPGA based preliminary CAD for kidney on IoT enabled portable ultrasound imaging system","authors":"Konda Divya Krishna, V. Akkala, R. Bharath, P. Rajalakshmi, M. Mateen","doi":"10.1109/HealthCom.2014.7001851","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001851","url":null,"abstract":"Ultrasound imaging has been widely used for preliminary diagnosis as it is non-invasive and has good scope for the doctors to analyze many diseases. Lack of trained sonographers make ultrasound imaging diagnosis time consuming to detect any abnormality. Sometimes the problem cannot exactly be identified which may lead to error in diagnosis. Hence in this paper we present computer aided automatic detection of abnormality in kidney on the ultrasound system itself, to decrease the time for reports and not to depend on the sonographer. We classified the kidney as normal and abnormal case. Segment the kidney region and extract Intensity histogram features and Haralick features from Gray Level Cooccurnace Matrix (GLCM). These features are calculated for a set of large data containing both normal and abnormal cases. Abnormal case includes kidney stone, cyst and bacterial infection. Standard deviation for each parameter is observed, considered only those features with less deviation and implemented on FPGA Kintex board. If the range of mean value is 1.08 to 1.336, skewness is 2.882 to 7.708, Kurtosis is 1.06 to 71.152, Cluster Shade is 72 to 243, Homogeneity is 0.993 to 0.998, the observed kidney image is normal otherwise abnormal.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125331213","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001863
Vitor Pinheiro de Almeida, M. Endler, E. Haeusler
We present a means of generating a mobile clientserver application that enables customized remote monitoring of patients with chronic diseases. The customization is based on parameters and formal descriptions of: type of chronic disease, patient preferences, the monitoring procedure required by the doctor, prescribed medication and information about the current context (i.e., environment) of the patient, obtained from sensors. Based on this, the system determines which pieces of information should be regularly obtained from the patient through questionnaires and/or sensors of the smart phone and sensors connected to it. Relevant information are the ones that help to detect possible changes in the patient's health condition and the monitoring process of a patient by the doctor. The medical treatment and the kind of chronic disease will define the set of data to be collected. It should be stressed that the goal is not to support automatic medical diagnosis, but only to provide means for physicians to obtain updated information about their patients, so as to allow remote monitoring of patients.
{"title":"A framework for customizing the mobile and remote monitoring of patients with chronic diseases","authors":"Vitor Pinheiro de Almeida, M. Endler, E. Haeusler","doi":"10.1109/HealthCom.2014.7001863","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001863","url":null,"abstract":"We present a means of generating a mobile clientserver application that enables customized remote monitoring of patients with chronic diseases. The customization is based on parameters and formal descriptions of: type of chronic disease, patient preferences, the monitoring procedure required by the doctor, prescribed medication and information about the current context (i.e., environment) of the patient, obtained from sensors. Based on this, the system determines which pieces of information should be regularly obtained from the patient through questionnaires and/or sensors of the smart phone and sensors connected to it. Relevant information are the ones that help to detect possible changes in the patient's health condition and the monitoring process of a patient by the doctor. The medical treatment and the kind of chronic disease will define the set of data to be collected. It should be stressed that the goal is not to support automatic medical diagnosis, but only to provide means for physicians to obtain updated information about their patients, so as to allow remote monitoring of patients.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125375307","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001891
Z. Aziz, U. Qureshi, F. Shaikh, Nafeesa Bohra, Abdelmajid Khelil, Emad A. Felemban
The reliable delivery of data is important in designing Wireless Body Area Networks (WBANs) employed for critical applications such as e-health. In order to communicate the data reliably from the sensors to the base station, the data transmission technique (star or multi-hop) and the transmission power plays a very important role. As transmission power is increased, transmission distance is increased and the data can be sent reliably to far nodes. However, in WBANs, there is always a limit to increase the transmission power. Keeping the power level at some low threshold and increasing the distance between a sensor and the base station results in reduced received power which ultimately degrades the data transmission. Thus, for star data transmission technique, the point to ponder is the maximum separation between a sensor and the base station to transmit the data reliably. The reliability in WBANs can be analyzed through different parameters such as received power, received signal strength indicator, link quality indicator, packet error rate, packet reception rate, etc. This paper aims at performing a reliability analysis for WBAN through the mentioned parameters to suggest an optimal sensor/base station separation using star data transmission technique. This analysis is performed employing the default routing protocol in TinyOS called the Collection Tree Protocol. Our study considers different sensor placements on different parts of the body as well as different angular offsets between sensor and base station.
{"title":"Experimental analysis for optimal separation between sensor and base station in WBANs","authors":"Z. Aziz, U. Qureshi, F. Shaikh, Nafeesa Bohra, Abdelmajid Khelil, Emad A. Felemban","doi":"10.1109/HealthCom.2014.7001891","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001891","url":null,"abstract":"The reliable delivery of data is important in designing Wireless Body Area Networks (WBANs) employed for critical applications such as e-health. In order to communicate the data reliably from the sensors to the base station, the data transmission technique (star or multi-hop) and the transmission power plays a very important role. As transmission power is increased, transmission distance is increased and the data can be sent reliably to far nodes. However, in WBANs, there is always a limit to increase the transmission power. Keeping the power level at some low threshold and increasing the distance between a sensor and the base station results in reduced received power which ultimately degrades the data transmission. Thus, for star data transmission technique, the point to ponder is the maximum separation between a sensor and the base station to transmit the data reliably. The reliability in WBANs can be analyzed through different parameters such as received power, received signal strength indicator, link quality indicator, packet error rate, packet reception rate, etc. This paper aims at performing a reliability analysis for WBAN through the mentioned parameters to suggest an optimal sensor/base station separation using star data transmission technique. This analysis is performed employing the default routing protocol in TinyOS called the Collection Tree Protocol. Our study considers different sensor placements on different parts of the body as well as different angular offsets between sensor and base station.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126333258","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001862
Xiaoshuang Liu, Guixia Kang, Ningbo Zhang, Bingning Zhu, Congcong Li, Yi Chai, Yuncheng Liu
This paper presents a healthcare monitoring architecture coupled with a wireless sensor network and wearable sensor systems which monitor chronic patients in nursing house or the elderly in their home. With this architecture, we investigate how sensor nodes are deployed in the three-dimension (3D) monitoring region to achieve uniform distribution, which directly determines the Quality of Service (QoS). Based on the existing two-dimension (2D) coverage-enhancing algorithms for wireless sensor networks, a 3D sensing model and a coverage optimization algorithm are proposed in this paper. Firstly, an intelligent optimization algorithm is utilized to adjust the position of sensor nodes. Then, we pick out the redundant nodes with the set coverage algorithm, and move them into the uncovered area to increase the coverage ratio. The simulation results show that the coverage ratio increased by the coverage optimization algorithm compared with the other coverage algorithms.
{"title":"A three-dimensional network coverage optimization algorithm in healthcare system","authors":"Xiaoshuang Liu, Guixia Kang, Ningbo Zhang, Bingning Zhu, Congcong Li, Yi Chai, Yuncheng Liu","doi":"10.1109/HealthCom.2014.7001862","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001862","url":null,"abstract":"This paper presents a healthcare monitoring architecture coupled with a wireless sensor network and wearable sensor systems which monitor chronic patients in nursing house or the elderly in their home. With this architecture, we investigate how sensor nodes are deployed in the three-dimension (3D) monitoring region to achieve uniform distribution, which directly determines the Quality of Service (QoS). Based on the existing two-dimension (2D) coverage-enhancing algorithms for wireless sensor networks, a 3D sensing model and a coverage optimization algorithm are proposed in this paper. Firstly, an intelligent optimization algorithm is utilized to adjust the position of sensor nodes. Then, we pick out the redundant nodes with the set coverage algorithm, and move them into the uncovered area to increase the coverage ratio. The simulation results show that the coverage ratio increased by the coverage optimization algorithm compared with the other coverage algorithms.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126771168","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001811
Usman Pervez, O. Hasan, K. Latif, S. Tahar, A. Gawanmeh, M. Hamdi
Fast Health Interoperable Resources (FHIR) is the recently proposed standard from HL7. Its distinguishing features include the user friendly implementation, support of built-in terminologies and for widely-used web standards. Given the safety-critical nature of FHIR, the rigorous analysis of e-health systems using the FHIR is a dire need since they are prone to failures. As a first step towards this direction, we propose to use probabilistic model checking, i.e., a formal probabilistic analysis approach, to assess the reliability of a typical e-health system used in hospitals based on the FHIR standard. In particular, we use the PRISM model checker to analyze the Markov Decision Process (MDP) and Continuous Time Markov Chain (CTMC) models to assess the failure probabilities of the overall system.
{"title":"Formal reliability analysis of a typical FHIR standard based e-Health system using PRISM","authors":"Usman Pervez, O. Hasan, K. Latif, S. Tahar, A. Gawanmeh, M. Hamdi","doi":"10.1109/HealthCom.2014.7001811","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001811","url":null,"abstract":"Fast Health Interoperable Resources (FHIR) is the recently proposed standard from HL7. Its distinguishing features include the user friendly implementation, support of built-in terminologies and for widely-used web standards. Given the safety-critical nature of FHIR, the rigorous analysis of e-health systems using the FHIR is a dire need since they are prone to failures. As a first step towards this direction, we propose to use probabilistic model checking, i.e., a formal probabilistic analysis approach, to assess the reliability of a typical e-health system used in hospitals based on the FHIR standard. In particular, we use the PRISM model checker to analyze the Markov Decision Process (MDP) and Continuous Time Markov Chain (CTMC) models to assess the failure probabilities of the overall system.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134192245","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001830
Fabien Touvat, J. Poujaud, N. Noury
Assistive technologies are deployed to preserve good health and security of elderly people living independently in their own home. One such technology is the indoor localization which helps to detect the level of their daily activities. Among low intrusive technologies, the RF signal strength (RSSI) is a very attractive approach as it does not need additional localization hardware and is being already widely used in existing wireless components. We used ISM868 frequency band, the normalized social alarm band, but also ZigBee 2.4 GHz as an element of comparison. We demonstrated that RSSI measurement is not sufficient as is to locate a mobile device indoor.
{"title":"Indoor localization with wearable RF devices in 868MHz and 2.4GHz bands","authors":"Fabien Touvat, J. Poujaud, N. Noury","doi":"10.1109/HealthCom.2014.7001830","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001830","url":null,"abstract":"Assistive technologies are deployed to preserve good health and security of elderly people living independently in their own home. One such technology is the indoor localization which helps to detect the level of their daily activities. Among low intrusive technologies, the RF signal strength (RSSI) is a very attractive approach as it does not need additional localization hardware and is being already widely used in existing wireless components. We used ISM868 frequency band, the normalized social alarm band, but also ZigBee 2.4 GHz as an element of comparison. We demonstrated that RSSI measurement is not sufficient as is to locate a mobile device indoor.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130065970","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 : 2014-10-01DOI: 10.1109/HEALTHCOM.2014.7123253
Helber R. Ferreira, H. I. A. Bustos, Wilfredo B. Figuerola
This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.
{"title":"Simulation inverse problems of reconstruction of image data using patterned electrical impedance tomography female breast","authors":"Helber R. Ferreira, H. I. A. Bustos, Wilfredo B. Figuerola","doi":"10.1109/HEALTHCOM.2014.7123253","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2014.7123253","url":null,"abstract":"This article analyzes the performance of the Electrical Impedance Tomography (EIT) technique in the diagnosis of breast cancer. The simulations used EIDORS (Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software) and OCTAVE, a computational tool for numerical calculation. We compared three algorithms: prior Laplace, NOSER and Tikhonov. The NOSER algorithm obtained the best classification according to performance metrics of proximity between neoplasms, where this factor changes the resolution of the reconstruction images generated depending on the chosen algorithm.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130157096","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 : 2014-10-01DOI: 10.1109/HealthCom.2014.7001903
Felipe S. Dantas Silva, José Castillo Lema, A. Neto, Flávio de Oliveira Silva, P. F. Rosa
The eHealth technology will change the way the health system is handled, mainly in developing countries, such as Brazil, where there is a huge shortage of healthcare professionals to assist the patients, especially for those living in rural and remote areas. The Context-Aware Mobile Approach (CAMA) seeks to improve the Brazilian primary healthcare system through context-aware eHealth facilities, such as people mobility, expecting to change the way that healthcare services are applied, managed, and maintained to achieve efficiency and safety for both patients and hospital staffs. Since this type of technology will handle vital parameters of people, it is mandatory that the involved network infrastructure can provide dependability and reliability so it can fulfill their role properly. This paper presents a network infrastructure based on the Software Defined Networking (SDN) paradigm to enable quality-oriented mobility control capabilities in the CAMA approach, to deploy mobility prediction, Point of Attachment (PoA) decision and handover setup meeting both application quality requirements and current wireless quality conditions, then improving the dependability and reliability of the eHealth biofeedback systems.
{"title":"Software defined eHealth networking towards a truly mobile and reliable system","authors":"Felipe S. Dantas Silva, José Castillo Lema, A. Neto, Flávio de Oliveira Silva, P. F. Rosa","doi":"10.1109/HealthCom.2014.7001903","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001903","url":null,"abstract":"The eHealth technology will change the way the health system is handled, mainly in developing countries, such as Brazil, where there is a huge shortage of healthcare professionals to assist the patients, especially for those living in rural and remote areas. The Context-Aware Mobile Approach (CAMA) seeks to improve the Brazilian primary healthcare system through context-aware eHealth facilities, such as people mobility, expecting to change the way that healthcare services are applied, managed, and maintained to achieve efficiency and safety for both patients and hospital staffs. Since this type of technology will handle vital parameters of people, it is mandatory that the involved network infrastructure can provide dependability and reliability so it can fulfill their role properly. This paper presents a network infrastructure based on the Software Defined Networking (SDN) paradigm to enable quality-oriented mobility control capabilities in the CAMA approach, to deploy mobility prediction, Point of Attachment (PoA) decision and handover setup meeting both application quality requirements and current wireless quality conditions, then improving the dependability and reliability of the eHealth biofeedback systems.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339196","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 : 2014-09-29DOI: 10.1109/HealthCom.2014.7001848
G. Arrobo, Calvin A. Perumalla, Yang Liu, T. Ketterl, R. Gitlin, P. Fabri
This paper presents the proof-of-concept investigation for a miniaturized vectorcardiogram [VCG] system for ambulatory on-body applications that continuously monitors the electrical activity of the heart in three dimensions. We investigate the minimum distance between a pair of leads in the X, Y and Z axes such that the signals are distinguishable from the noise. The target dimensions for our VCG are 3×3×2 cm and, based on our preliminary results, it is possible to achieve these dimensions. The next step in our research is to build the miniaturized VCG system that includes processing, learning and communication capabilities.
{"title":"A novel vectorcardiogram system","authors":"G. Arrobo, Calvin A. Perumalla, Yang Liu, T. Ketterl, R. Gitlin, P. Fabri","doi":"10.1109/HealthCom.2014.7001848","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001848","url":null,"abstract":"This paper presents the proof-of-concept investigation for a miniaturized vectorcardiogram [VCG] system for ambulatory on-body applications that continuously monitors the electrical activity of the heart in three dimensions. We investigate the minimum distance between a pair of leads in the X, Y and Z axes such that the signals are distinguishable from the noise. The target dimensions for our VCG are 3×3×2 cm and, based on our preliminary results, it is possible to achieve these dimensions. The next step in our research is to build the miniaturized VCG system that includes processing, learning and communication capabilities.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115065241","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 : 2014-08-31DOI: 10.1109/HealthCom.2014.7001902
A. Black, T. Sahama
With the introduction of the Personally Controlled Health Record (PCEHR), the Australian public is being asked to accept greater responsibility for their healthcare. Although well designed, constructed and intentioned, policy and privacy concerns have resulted in an eHealth model that may impact future health information sharing requirements. Thus an opportunity to transform the beleaguered Australian PCEHR into a sustainable on-demand technology consumption model for patient safety must be explored further. Moreover, the current clerical focus of healthcare practitioners must be renegotiated to establish a shared knowledge creation landscape of action for safer patient interventions. To achieve this potential however requires a platform that will facilitate efficient and trusted unification of all health information available in real-time across the continuum of care. As a conceptual paper, the goal of the authors is to deliver insights into the antecedents of usage influencing superior patient outcomes within an eHealth-as-a-Service framework. To achieve this, the paper attempts to distil key concepts and identify common themes drawn from a preliminary literature review of eHealth and cloud computing concepts, specifically cloud service orchestration to establish a conceptual framework and a research agenda. Initial findings support the authors' view that an eHealth-as-a-Service (eHaaS) construct will serve as a disruptive paradigm shift in the aggregation and transformation of health information for use as real-world knowledge in patient care scenarios. Moreover, the strategic value of extending the community Health Record Bank (HRB) model lies in the ability to automatically draw on a multitude of relevant data repositories and sources to create a single source of practice based evidence and to engage market forces to create financial sustainability.
{"title":"eHealth-as-a-Service (eHaaS): The industrialisation of health informatics, a practical approach","authors":"A. Black, T. Sahama","doi":"10.1109/HealthCom.2014.7001902","DOIUrl":"https://doi.org/10.1109/HealthCom.2014.7001902","url":null,"abstract":"With the introduction of the Personally Controlled Health Record (PCEHR), the Australian public is being asked to accept greater responsibility for their healthcare. Although well designed, constructed and intentioned, policy and privacy concerns have resulted in an eHealth model that may impact future health information sharing requirements. Thus an opportunity to transform the beleaguered Australian PCEHR into a sustainable on-demand technology consumption model for patient safety must be explored further. Moreover, the current clerical focus of healthcare practitioners must be renegotiated to establish a shared knowledge creation landscape of action for safer patient interventions. To achieve this potential however requires a platform that will facilitate efficient and trusted unification of all health information available in real-time across the continuum of care. As a conceptual paper, the goal of the authors is to deliver insights into the antecedents of usage influencing superior patient outcomes within an eHealth-as-a-Service framework. To achieve this, the paper attempts to distil key concepts and identify common themes drawn from a preliminary literature review of eHealth and cloud computing concepts, specifically cloud service orchestration to establish a conceptual framework and a research agenda. Initial findings support the authors' view that an eHealth-as-a-Service (eHaaS) construct will serve as a disruptive paradigm shift in the aggregation and transformation of health information for use as real-world knowledge in patient care scenarios. Moreover, the strategic value of extending the community Health Record Bank (HRB) model lies in the ability to automatically draw on a multitude of relevant data repositories and sources to create a single source of practice based evidence and to engage market forces to create financial sustainability.","PeriodicalId":269964,"journal":{"name":"2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122014494","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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