Pub Date : 2016-09-01DOI: 10.1109/HealthCom.2016.7749466
Gabriele Di Simone, A. Pietrosanto, A. Espírito-Santo, B. Ribeiro, V. Paciello
Smart cities and smart homes are driving economic growth and improving the quality of people's life by enabling local development and harnessing technologies, especially the ones leading to smart outcomes and connectivity. Application of smart solutions will enable human living environments to use technology, information and data to improve infrastructures and services in the behalf of human beings. The welfare of elderly people living alone, at their homes, or, in rest houses, can significantly be improved with the introduction of these smart solutions. Wireless indoor tracking of elderly people is an important feature together with the DLMS/COSEM protocol. Above all using low power devices to assist and monitoring them. The paper highlights implementation in the real world, proposing a method that can be suited in a large range of cases thanks to the scene analysis. An indoor scalable infrastructure allows the tracking method to be implemented incrementally with different performances, where optimal accuracy comes from an adaptable threshold. The method has been tested in different environments using both simulations and direct measurements. Result from the proposed method are compared with the KNN method.
{"title":"Wireless indoor low power tracking system for elderly people assistance in an urban environment","authors":"Gabriele Di Simone, A. Pietrosanto, A. Espírito-Santo, B. Ribeiro, V. Paciello","doi":"10.1109/HealthCom.2016.7749466","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749466","url":null,"abstract":"Smart cities and smart homes are driving economic growth and improving the quality of people's life by enabling local development and harnessing technologies, especially the ones leading to smart outcomes and connectivity. Application of smart solutions will enable human living environments to use technology, information and data to improve infrastructures and services in the behalf of human beings. The welfare of elderly people living alone, at their homes, or, in rest houses, can significantly be improved with the introduction of these smart solutions. Wireless indoor tracking of elderly people is an important feature together with the DLMS/COSEM protocol. Above all using low power devices to assist and monitoring them. The paper highlights implementation in the real world, proposing a method that can be suited in a large range of cases thanks to the scene analysis. An indoor scalable infrastructure allows the tracking method to be implemented incrementally with different performances, where optimal accuracy comes from an adaptable threshold. The method has been tested in different environments using both simulations and direct measurements. Result from the proposed method are compared with the KNN method.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"36 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":"117110937","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 : 2016-09-01DOI: 10.1109/HEALTHCOM.2016.7749498
Marta Manovel López, Miguel Maldonado López, I. D. L. T. Díez, J. C. P. Jimeno, Miguel López Coronado, Joel Rodrigues
This paper aims to evaluate OphthalDSS, a new mobile Decision Support System (DSS) for red eye diseases diagnosis, and presents the results after evaluating the Quality of Experience (QoE) by medical students of the University of Valladolid, Spain. The main utilities that OphthalDSS offers, will be a study guide for physicians and medical students, and a clinical decision support system for primary care professionals. The decision algorithm will be implemented by an Android mobile App and the QoE will be evaluated by a short inquiry. The algorithm OphthalDSS is capable of diagnosing more than 30 eye's anterior segment diseases. A total of 67 medical students have evaluated the QoE. The different blocks in which the survey is organized have achieved a score of at least the mean value. Most of the surveyed students agree with that OphthalDSS does the function that they expected, the information presented in it is totally reliable, it is intuitive and has got an appropriate appearance, and they highlight the decision algorithm's effectiveness.
{"title":"Evaluating the QoE of a mobile DSS for diagnosis of red eye diseases by medical students","authors":"Marta Manovel López, Miguel Maldonado López, I. D. L. T. Díez, J. C. P. Jimeno, Miguel López Coronado, Joel Rodrigues","doi":"10.1109/HEALTHCOM.2016.7749498","DOIUrl":"https://doi.org/10.1109/HEALTHCOM.2016.7749498","url":null,"abstract":"This paper aims to evaluate OphthalDSS, a new mobile Decision Support System (DSS) for red eye diseases diagnosis, and presents the results after evaluating the Quality of Experience (QoE) by medical students of the University of Valladolid, Spain. The main utilities that OphthalDSS offers, will be a study guide for physicians and medical students, and a clinical decision support system for primary care professionals. The decision algorithm will be implemented by an Android mobile App and the QoE will be evaluated by a short inquiry. The algorithm OphthalDSS is capable of diagnosing more than 30 eye's anterior segment diseases. A total of 67 medical students have evaluated the QoE. The different blocks in which the survey is organized have achieved a score of at least the mean value. Most of the surveyed students agree with that OphthalDSS does the function that they expected, the information presented in it is totally reliable, it is intuitive and has got an appropriate appearance, and they highlight the decision algorithm's effectiveness.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"94 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":"116010817","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749432
Zilu Liang, Yukiko Nagata, Mario Alberto Chapa Martell, Takuichi Nishimura
This study aimed to understand whether and how wearable technologies and mHealth services could be nurtured for self-care at the individual-level. We launched a self-care online survey in 2015, and a total of 188 participants (66% female; mean age = 30 years) completed the survey. Following the survey, we also conducted a qualitative study with 12 Fitbit users. In both studies, we focused on understanding three prerequisite elements for behavior change: mindset, tool set and skill set. The results showed that most people had the mindset that self-care was important for preventing chronic diseases, and their top health concerns were sleep quality, body weight, mood, skin conditions and chronic fatigue. As for tool set, users acknowledge the potentially positive impact and efficacy of the technologies in facilitating self-care. However, current technologies have several usability issues such as low accuracy, low technology transparency, and limited feedback. As for skill set, two major obstacles were identified: difficulty in sustaining the usage of the technologies, and lacking domain knowledge and data analysis skills to gain insights from personal data. Different from existing studies which mainly focused on understanding the tool set, i.e., the technologies and services per se, this study produced new insights on the current landscape of people's mindset and skill set on adopting the technologies for health behavior change. We also summarized the opportunities and challenges to guide researchers in designing new wearable technologies and mHealth services for self-care.
{"title":"Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set","authors":"Zilu Liang, Yukiko Nagata, Mario Alberto Chapa Martell, Takuichi Nishimura","doi":"10.1109/HealthCom.2016.7749432","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749432","url":null,"abstract":"This study aimed to understand whether and how wearable technologies and mHealth services could be nurtured for self-care at the individual-level. We launched a self-care online survey in 2015, and a total of 188 participants (66% female; mean age = 30 years) completed the survey. Following the survey, we also conducted a qualitative study with 12 Fitbit users. In both studies, we focused on understanding three prerequisite elements for behavior change: mindset, tool set and skill set. The results showed that most people had the mindset that self-care was important for preventing chronic diseases, and their top health concerns were sleep quality, body weight, mood, skin conditions and chronic fatigue. As for tool set, users acknowledge the potentially positive impact and efficacy of the technologies in facilitating self-care. However, current technologies have several usability issues such as low accuracy, low technology transparency, and limited feedback. As for skill set, two major obstacles were identified: difficulty in sustaining the usage of the technologies, and lacking domain knowledge and data analysis skills to gain insights from personal data. Different from existing studies which mainly focused on understanding the tool set, i.e., the technologies and services per se, this study produced new insights on the current landscape of people's mindset and skill set on adopting the technologies for health behavior change. We also summarized the opportunities and challenges to guide researchers in designing new wearable technologies and mHealth services for self-care.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"13 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":"123931789","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749516
H. S. G. Pussewalage, V. Oleshchuk
Electronic health records (EHRs) play a vital role in modern health industry, allowing the possibility of flexible sharing of health information in the quest of provisioning advanced and efficient healthcare services for the users. Although sharing of EHRs has significant benefits, given that such records contain lot of sensitive information, secure sharing of EHRs is of paramount importance. Thus, there is a need for the realization of sophisticated access control mechanisms for secure sharing of EHRs, which has attracted significant interest from the research community. The most prominent access control schemes for sharing of EHRs found in literature are role based and such solutions have the drawback of requiring the users to be registered in the system. Therefore, we propose a secure attribute based EHR sharing scheme using selective disclosure of attributes, which can meet the security requirements of EHRs. The proposed model is policy based and the access decisions are made based on the possibility of a user for being able to provide a proof that the user possesses a set of attributes that satisfies the access policy referenced to the access requested resource. Furthermore, the proposed model is capable of granting access for registered users in the system as well as unregistered but legitimate users, paving the way towards realizing a secure and flexible EHR sharing scheme.
{"title":"An attribute based access control scheme for secure sharing of electronic health records","authors":"H. S. G. Pussewalage, V. Oleshchuk","doi":"10.1109/HealthCom.2016.7749516","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749516","url":null,"abstract":"Electronic health records (EHRs) play a vital role in modern health industry, allowing the possibility of flexible sharing of health information in the quest of provisioning advanced and efficient healthcare services for the users. Although sharing of EHRs has significant benefits, given that such records contain lot of sensitive information, secure sharing of EHRs is of paramount importance. Thus, there is a need for the realization of sophisticated access control mechanisms for secure sharing of EHRs, which has attracted significant interest from the research community. The most prominent access control schemes for sharing of EHRs found in literature are role based and such solutions have the drawback of requiring the users to be registered in the system. Therefore, we propose a secure attribute based EHR sharing scheme using selective disclosure of attributes, which can meet the security requirements of EHRs. The proposed model is policy based and the access decisions are made based on the possibility of a user for being able to provide a proof that the user possesses a set of attributes that satisfies the access policy referenced to the access requested resource. Furthermore, the proposed model is capable of granting access for registered users in the system as well as unregistered but legitimate users, paving the way towards realizing a secure and flexible EHR sharing scheme.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"23 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":"124054132","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749484
A. P. Alves, T. Godinho, C. Costa
Medical imaging has been an essential contributor to high-quality medical decisions. In the past few years, the production of medical imaging data has grown impressively, thanks to the increasing number of imaging centers and higher resolution modalities. Keeping high availability and acceptable performance in this scenario raises new challenges related to storage, discovery and distribution of imaging data. Nowadays Picture Archiving and Communication System (PACS) must optimize these processes to the limit to cope with Big Data usage scenarios. In this regard, this work explores novel technologies to improve the performance of query and retrieve services in medical imaging context, ensuring always the compatibility with Digital Imaging and Communications in Medicine (DICOM) standard. The focus is the optimization of querying services. Namely, we conducted several controlled experiments to determine the best database model to support these services. More precisely, we studied the performance of a traditional PACS archive, based on a relational database, against a more recent NoSQL database. We used large datasets with 7 million medical images that represent accurately a year of medical practice. The result of this work is a set of guidelines for the correct usage of analyzed databases in big data medical imaging scenarios, including the advantages and limitations of each model.
{"title":"Assessing the relational database model for optimization of content discovery services in medical imaging repositories","authors":"A. P. Alves, T. Godinho, C. Costa","doi":"10.1109/HealthCom.2016.7749484","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749484","url":null,"abstract":"Medical imaging has been an essential contributor to high-quality medical decisions. In the past few years, the production of medical imaging data has grown impressively, thanks to the increasing number of imaging centers and higher resolution modalities. Keeping high availability and acceptable performance in this scenario raises new challenges related to storage, discovery and distribution of imaging data. Nowadays Picture Archiving and Communication System (PACS) must optimize these processes to the limit to cope with Big Data usage scenarios. In this regard, this work explores novel technologies to improve the performance of query and retrieve services in medical imaging context, ensuring always the compatibility with Digital Imaging and Communications in Medicine (DICOM) standard. The focus is the optimization of querying services. Namely, we conducted several controlled experiments to determine the best database model to support these services. More precisely, we studied the performance of a traditional PACS archive, based on a relational database, against a more recent NoSQL database. We used large datasets with 7 million medical images that represent accurately a year of medical practice. The result of this work is a set of guidelines for the correct usage of analyzed databases in big data medical imaging scenarios, including the advantages and limitations of each model.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"20 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":"122162420","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749422
U. Khan, T. Zia, Kaushalya Perera
This paper identifies the role of electronic Health (eHealth) in supporting healthy ageing (HA) and explores the factors which impacts on technology acceptance. An exploratory study was conducted to capture experiences of fifteen participants. The results show that seniors require awareness about the benefits of eHealth technologies and how the advances in ehealth technologies can assist benefiting seniors. The outcomes of this study can play a vital role for policy makers and relevant health bodies in determining the adoptability of eHealth technologies to cost effectively manage needs of increasing aged population in many developed countries.
{"title":"An exploratory study of the role of eHealth in healthy ageing","authors":"U. Khan, T. Zia, Kaushalya Perera","doi":"10.1109/HealthCom.2016.7749422","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749422","url":null,"abstract":"This paper identifies the role of electronic Health (eHealth) in supporting healthy ageing (HA) and explores the factors which impacts on technology acceptance. An exploratory study was conducted to capture experiences of fifteen participants. The results show that seniors require awareness about the benefits of eHealth technologies and how the advances in ehealth technologies can assist benefiting seniors. The outcomes of this study can play a vital role for policy makers and relevant health bodies in determining the adoptability of eHealth technologies to cost effectively manage needs of increasing aged population in many developed countries.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"15 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":"124808677","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749526
V. Marbukh, Martina Barbi, K. Sayrafian-Pour, M. Alasti
IEEE802.15.6 is a radio interface standard for wireless connectivity of wearable and implantable sensors and actuators located inside or in close proximity to the human body i.e., Body Area Network (BAN). Medical applications impose stringent requirements on BAN Quality of Service (QoS), including reliability and on-time availability of data. However, interference from other co-located BANs or other nearby devices sharing the same spectrum, e.g., due to BAN mobility, may cause unacceptable QoS degradation. This paper suggests that the impact of such QoS degradations can be minimized with a queue-size and channel quality based adaptation of the Energy Detection Threshold (EDT) at the transmitting nodes. Guided by known results for Q-CSMA/CA, we propose an adaptive EDT algorithm for use in the IEEE 802.15.6 BAN standard. Our preliminary simulation results demonstrate the performance gain of our algorithm compared to using a fixed EDT, and thus warrant future efforts in the adaptive EDT optimization as a mechanism to maintain QoS in various interference scenarios.
{"title":"A queue-size & channel quality based adaptation of the energy detection threshold in IEEE802.15.6 CSMA/CA","authors":"V. Marbukh, Martina Barbi, K. Sayrafian-Pour, M. Alasti","doi":"10.1109/HealthCom.2016.7749526","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749526","url":null,"abstract":"IEEE802.15.6 is a radio interface standard for wireless connectivity of wearable and implantable sensors and actuators located inside or in close proximity to the human body i.e., Body Area Network (BAN). Medical applications impose stringent requirements on BAN Quality of Service (QoS), including reliability and on-time availability of data. However, interference from other co-located BANs or other nearby devices sharing the same spectrum, e.g., due to BAN mobility, may cause unacceptable QoS degradation. This paper suggests that the impact of such QoS degradations can be minimized with a queue-size and channel quality based adaptation of the Energy Detection Threshold (EDT) at the transmitting nodes. Guided by known results for Q-CSMA/CA, we propose an adaptive EDT algorithm for use in the IEEE 802.15.6 BAN standard. Our preliminary simulation results demonstrate the performance gain of our algorithm compared to using a fixed EDT, and thus warrant future efforts in the adaptive EDT optimization as a mechanism to maintain QoS in various interference scenarios.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"10 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":"129705642","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749523
Roland Ellerweg, P. Voigt, Tuomas Alhonnoro, M. Pollari, Phil Weir
In teleradiology a vast amount of medical images is sent from one location to another location. If the network infrastructure between the locations is poor, users experience long download times or, if a client application is used, application lags. To solve this issue lossless compression algorithms can be used as a first option. Unfortunately these algorithms can only compress the data to a certain degree which is most of the time not enough for the heavy requirements in teleradiology. As a second option the image data can be compressed lossily by reducing the image quality. This however can have an impact on the work of the user and also on image processing tools, when the images are post-processed. In this contribution we give a first impression of frame rate and resolution effects on the work of both, humans and machines, using the example of tumor diagnosis.
{"title":"Accessing image resolution and frame rate effects in radiology from a human and a machine point of view","authors":"Roland Ellerweg, P. Voigt, Tuomas Alhonnoro, M. Pollari, Phil Weir","doi":"10.1109/HealthCom.2016.7749523","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749523","url":null,"abstract":"In teleradiology a vast amount of medical images is sent from one location to another location. If the network infrastructure between the locations is poor, users experience long download times or, if a client application is used, application lags. To solve this issue lossless compression algorithms can be used as a first option. Unfortunately these algorithms can only compress the data to a certain degree which is most of the time not enough for the heavy requirements in teleradiology. As a second option the image data can be compressed lossily by reducing the image quality. This however can have an impact on the work of the user and also on image processing tools, when the images are post-processed. In this contribution we give a first impression of frame rate and resolution effects on the work of both, humans and machines, using the example of tumor diagnosis.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"48 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":"128846886","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749423
K. Saleem, Khan Zeb, A. Derhab, Haider Abbas, J. Al-Muhtadi, M. Orgun, A. Gawanmeh
Information and Communication Technologies (ICT) based applications for Ambient Assisted Living (AAL) help elderly or individual people living home alone. AAL system reliability is mostly based on the recent emerging class of network that is known as wireless mesh network (WiMesh). In WiMesh the information security is the most difficult problem to tackle because the medium is open to cyber-attacks. Moreover, when we talk about AAL where the complete personal information is digitized and stored, the need for implementation and maintenance of strict security measures is essential. In this article, we present a critical literature survey on communication security issues in e-health care environments. We highlight and explore the representative state of the art security prototypes for eHealthcare environments and also provide the details of their security characteristics. In addition, we discuss in detail the challenges and opportunities of these systems.
{"title":"Survey on cybersecurity issues in wireless mesh networks based eHealthcare","authors":"K. Saleem, Khan Zeb, A. Derhab, Haider Abbas, J. Al-Muhtadi, M. Orgun, A. Gawanmeh","doi":"10.1109/HealthCom.2016.7749423","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749423","url":null,"abstract":"Information and Communication Technologies (ICT) based applications for Ambient Assisted Living (AAL) help elderly or individual people living home alone. AAL system reliability is mostly based on the recent emerging class of network that is known as wireless mesh network (WiMesh). In WiMesh the information security is the most difficult problem to tackle because the medium is open to cyber-attacks. Moreover, when we talk about AAL where the complete personal information is digitized and stored, the need for implementation and maintenance of strict security measures is essential. In this article, we present a critical literature survey on communication security issues in e-health care environments. We highlight and explore the representative state of the art security prototypes for eHealthcare environments and also provide the details of their security characteristics. In addition, we discuss in detail the challenges and opportunities of these systems.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"28 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":"129948634","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 : 2016-09-01DOI: 10.1109/HealthCom.2016.7749431
Abdul Wahid Samadzai, V. Tomberg, D. Lamas
In this paper, we have reviewed different types of medical records like the Paper Based Medical Record, Electronic Medical Records, Electronic Health Records, and Personal Health Records. Also, we have examined a process of medical records in Afghanistan private and public hospitals. On that base we have discussed the opportunities for developing of electronic health records system in Afghanistan.
{"title":"Current health records practices in Afghanistan and possible future development","authors":"Abdul Wahid Samadzai, V. Tomberg, D. Lamas","doi":"10.1109/HealthCom.2016.7749431","DOIUrl":"https://doi.org/10.1109/HealthCom.2016.7749431","url":null,"abstract":"In this paper, we have reviewed different types of medical records like the Paper Based Medical Record, Electronic Medical Records, Electronic Health Records, and Personal Health Records. Also, we have examined a process of medical records in Afghanistan private and public hospitals. On that base we have discussed the opportunities for developing of electronic health records system in Afghanistan.","PeriodicalId":167022,"journal":{"name":"2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)","volume":"40 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":"116338954","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
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：