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eHealth Solutions for the Integrated Healthcare

eHealth Solutions for the Integrated Healthcare Hindawi Journal of Healthcare Engineering Volume 2018, Article ID 3846892, 3 pages https://doi.org/10.1155/2018/3846892 Editorial 1 2 3 4 Giedrius Vanagas , Rolf Engelbrecht, Robertas Damasˇevicˇius , Reima Suomi, and Agusti Solanas Lithuanian University of Health Sciences, Kaunas, Lithuania European Federation for Medical Informatics-Health Information Management Europe ProRec, Berlin, Germany Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania Department of Management and Entrepreneurship, Turku School of Economics, University of Turku, Turku, Finland Department of Computer Engineering and Mathematics, Smart Health Research Group, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain Correspondence should be addressed to Giedrius Vanagas; g.vanagas@gmail.com Received 21 June 2018; Accepted 21 June 2018; Published 10 July 2018 Copyright © 2018 Giedrius Vanagas et al. "is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Information and communication technologies (ICT) bring sector. "is is not surprising, especially if we take into ac- a whole new dimension into the healthcare arena by in- count the complexity and nature of the healthcare ecosys- troducing electronic media that open the door to the use of tem. Hence, the implementation of ICT in practice remains new methodologies. Today, ICT support electronic gathering, difficult and implies many challenges at different levels, storage, processing, and exchange of information to treat involving patients, healthcare providers, and healthcare disease, prevent illness, promote healthy lifestyle, manage organizations [6]. Some of the most significant challenges for the adoption of eHealth (and its mHealth and sHealth patients with chronic illness, and many other applications [1, 2]. Electronic health (eHealth) has the ability to bridge gaps derivations) are inherent to the complexity of the healthcare system. Take, for example, the interoperability problem, between patients and doctors, patients and relatives, doctors and administrative staff, and so on. Also, eHealth helps to which is an old problem inherited from previous non- overcome barriers by means that are significantly different electronic healthcare infrastructures that is also common in from traditional healthcare solutions [3]. It has paved the way a variety of other domains [7]. Also, ethical issues such as for the adoption of sophisticated forms of healthcare provision privacy protection are a common problem that affects based on mobile devices and context-awareness, such as healthcare in general, but it is magnified by the use of ICT mobile health (mHealth) [4] and smart health (sHealth) [5], [8, 9]. Last but not least, the integration of new technologies which require unprecedentedly complex integration strategies. based on artificial intelligence, smartphones, neural net- "e advances in healthcare and ICT serve the society as works, and big data analysis (to name a few) into the healthcare sector poses magnificent challenges for the a whole (e.g., patients, healthcare professionals, relatives, and governments) and support the sustainability of current healthcare system’s limitations, which the scientific community is struggling to overcome. In this sense, the healthcare systems. New health ICT systems offer oppor- tunities to improve the effectiveness and efficiency of feasibility of many applications, policies, and data con- healthcare services through innovative approaches in clinical cerning the costs, effects, and effectiveness of eHealth and service delivery, personalized health, and public health, with telemedicine are at stake. "ere is a lack of research-based, a wide impact on the well-being of individuals. Clearly, the empirically-tested models to progress towards large-scale study of the integration of healthcare solutions based on ICT use of ICT in the health sector. is a hot topic that deserves attention. In this special issue, we have undertaken the task of Despite the well-known potential benefits of adopting collecting a set of articles that address some of the afore- eHealth solutions, approaches to ICT implementation used mentioned challenges faced by current eHealth infrastructure and applications. in other industries have had limited success in the healthcare 2 Journal of Healthcare Engineering systems, where communication and understanding be- Monitoring long-distance fast walking in daily activities is challenging due to the lack of specific scientific equipment. tween medical professionals and different tasks become essential. Usually, medical texts are full of references to In the literature, most gait experiments are performed by walking on treadmills. Unfortunately, gait data acquired on medical entities, which could be utilized by knowledge- treadmills are quite different from the real ones gotten on the based medical decision support systems. However, the ground. "e article by W.-F. Wang et al. “Study on Tripping diverse and ambiguous nature of linguistic ME forms are Risks in Fast Walking through Cadence-Controlled Gait challenging and hinder automatic medical entities recog- Analysis” approaches this problem by performing all nition and linking, hence requiring tedious work to an- walking tests intended to reveal important clues for tripping notate data and define features. Xu et al. propose an unsupervised framework for recognizing and linking risks in fast walking in a flat and straight pathway. "e results show that fast walking with bigger strides and lower cadence medical entities mentioned in Chinese online medical texts. "eir solution is the first complete unsupervised solution is the best way to keep safety on ordinary ground. Similarly, the monitoring of vital signs is a very active for Chinese medical text with both medical entity recog- nition and linking, which has considerable value in many research area. In the article “Analysis of a Pulse Rate Var- iability Measurement Using a Smartphone Camera,” applications such as medical knowledge-based construc- A. Banhalmi ´ et al. approach the problem of using off-the- tion and expansion, semantic comprehension of medical shelf technology (e.g., smartphones) to gather biometric data text, and medical Q&A systems. efficiently and reliably. More specifically, the authors analyse Interacting with healthcare systems and applications is an the possibility of using a smartphone camera to measure the emerging topic that deserves special attention when dealing pulse rate variability of patients. "eir experiments show with disabled people. "e article “Projection mapping user interface for disabled people” by J. Gelˇsvartas et al. seeks to help that photoplethysmography has high accuracy and does not differ more from ECG than ECG channels themselves. "is improve user interfaces for people with motoric or speech disabilities through projection mapping. "is technique makes study opens the door to simplified remote monitoring of the heart function. possible to create a natural augmented reality information presentation environment. "e authors provide a detailed In a related topic, haemovigilance is attracting attention. It is the set of surveillance procedures covering the entire description of a camera-projector system calibration pro- blood transfusion chain, from the donation and processing cedure. "e described system performs tabletop object de- of blood and its components, through to their provision and tection and automatic projection mapping. "e proposed transfusion to patients, and including their follow-up [10]. system was tested with real users and, overall, the interface was In the article “1e Evolving Role of Information Technology in evaluated positively by the system users, which in most cases Haemovigilance Systems,” A. Ramoa et al. study 23 hae- were able to learn how to use the system very quickly. "e article clearly opens ways for new ideas to produce support movigilance organizations in their use of information sys- tems. "ey find an increasing number of these organizations systems for motoric or speech disabled people. Last but not least, the constant aging of the population choosing web-based solutions to take care of haemovigi- lance. "ere are still some nonelectronic notification sys- raises a new set of problems for eHealth systems. In coming tems, but they lack in data completeness and consistency. years, age-related and degenerative diseases will become the "e authors support the development of electronic hae- main burden for public health systems. Lauraitis et al. ad- movigilance systems and conclude that national haemovi- dress the problem of identifying Huntington’s disease (HD) gilance systems could benefit from international guidelines at its early stage, so that elder patients could benefit from for their implementation and maintenance. future medical interventions that may help delaying the "ere are a number of approaches to develop function- progress of the disease. "ey created a computerized alities for medical decision support systems, which involve behavioural model, which allows predicting an impaired reaction condition for HD patients. "e model is embodied some extra efforts from users, thus limiting the spread of such systems in practice. V. L. Malykh and S. V. Rudetskiy provide in a mobile application available on smartphones and tablet PCs, which allows predicting the functional capacity level of a review of general approaches to decision support systems development based on nonreduced big clinical data in their subjects by performing an on-screen touch-based test, thus article “Approaches to Medical Decision-Making Based on Big providing a low-cost alternative to the currently used HD Clinical Data.” "e article discusses different approaches to symptom assessment procedures. building a medical decision support system based on big data. "e integration of eHealth solutions is far from simple, "e authors sought to abstain from any data reduction and and it must capture the attention of the healthcare research apply universal teaching and big data processing methods community for the next years. "e adoption of new mobile and context-aware technologies will multiply the benefits for independent of disease classification standards. "e paper assesses and compares the accuracy of recommendations patients and doctors but, at the same time, it will increase the complexity of the eHealth systems and it will be associated to among three options: case-based reasoning, simple single- layer neural network, and probabilistic neural network. major challenges. In this special issue, we have gathered some relevant examples of research studies that have put Further, the paper substantiates the assumption regarding the most efficient approach to solving the specified problem. their efforts towards this direction. Notwithstanding, there is In a similar research line, knowledge-based systems can a lot of unused potential in information systems to support notably improve the management of distributed eHealth eHealth and its mHealth and sHealth derivations. Journal of Healthcare Engineering 3 It has become clear that technology is not the limiting factor for future progress in healthcare. On the contrary, the main limitations come from the lack of innovativeness of ICT use and the lack of incentives from users and com- munities to adopt new technology-based solutions for the integrated healthcare. We hope that these limitations will be solved in the next years and that the articles collected in this special issue will contribute with their grain of sand to the overall improvement of healthcare systems worldwide. Giedrius Vanagas Rolf Engelbrecht Robertas Damaˇseviˇcius Reima Suomi Agusti Solanas References [1] R. L. Bashshur, G. W. Shannon, E. A. Krupinski et al., “National telemedicine initiatives: essential to healthcare re- form,” Telemedicine and e-Health, vol. 15, no. 6, pp. 600–610, [2] M.-P. Gagnon, M. Desmartis, M. Labrecque et al., “Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals,” Journal of Medical Systems, vol. 36, no. 1, pp. 241–277, 2012. [3] A. Carbo, M. Gupta, L. Tamariz et al., “Mobile technologies for managing heart failure: a systematic review and meta-analysis,” Telemedicine and e-Health, 2018, In press. [4] A. Solanas, A. Martinez-Balleste, P. A. Perez-Martinez, A. F. de la Pena, and J. Ramos, “m-carer: privacy-aware monitoring for people with mild cognitive impairment and dementia,” IEEE Journal on Selected Areas in Communica- tions, vol. 31, no. 9, pp. 19–27, 2013. [5] A. Solanas, C. Patsakis, M. Conti et al., “Smart health: a context-aware health paradigm within smart cities,” IEEE Communications Magazine, vol. 52, no. 8, pp. 74–81, 2014. [6] F. Mair, C. May, C. O’Donnell, T. Finch, F. Sullivan, and E. Murray, “Factors that promote or inhibit the imple- mentation of e-health systems: an explanatory systematic review,” Bulletin of the World Health Organization, vol. 90, no. 5, pp. 357–364, 2012. [7] C. Patsakis, P. Laird, M. Clear, M. Bouroche, and A. Solanas, “Interoperable privacy-aware e-participation within smart cities,” Computer, vol. 48, no. 1, pp. 52–58, 2015. [8] A. Martinez-Balleste, P. A. P´erez-Mart´ınez, and A. Solanas, “"e pursuit of citizens’ privacy: a privacy-aware smart city is possible,” IEEE Communications Magazine, vol. 51, no. 6, pp. 136–141, 2013. [9] A. Solanas, A. Martinez-Balleste, and J. M. Mateo-Sanz, “Distributed architecture with double-phase micro- aggregation for the private sharing of biomedical data in mobile health,” IEEE Transactions on Information Forensics and Security, vol. 8, no. 6, pp. 901–910, 2013. [10] World Health Organization, “Haemovigilance,” WHO, Geneva, Switzerland, 2016, http://www.who.int/bloodsafety/ haemovigilance/en/. International Journal of Advances in Rotating Machinery Multimedia Journal of The Scientific Journal of Engineering World Journal Sensors Hindawi Hindawi Publishing Corporation Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 http://www www.hindawi.com .hindawi.com V Volume 2018 olume 2013 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Journal of Control Science and Engineering Advances in Civil Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Submit your manuscripts at www.hindawi.com Journal of Journal of Electrical and Computer Robotics Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 VLSI Design Advances in OptoElectronics International Journal of Modelling & Aerospace International Journal of Simulation Navigation and in Engineering Engineering Observation Hindawi Hindawi Hindawi Hindawi Volume 2018 Volume 2018 Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com www.hindawi.com www.hindawi.com Volume 2018 International Journal of Active and Passive International Journal of Antennas and Advances in Chemical Engineering Propagation Electronic Components Shock and Vibration Acoustics and Vibration Hindawi Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Healthcare Engineering Hindawi Publishing Corporation

eHealth Solutions for the Integrated Healthcare

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Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2018 Giedrius Vanagas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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2040-2295
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2040-2309
DOI
10.1155/2018/3846892
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Abstract

Hindawi Journal of Healthcare Engineering Volume 2018, Article ID 3846892, 3 pages https://doi.org/10.1155/2018/3846892 Editorial 1 2 3 4 Giedrius Vanagas , Rolf Engelbrecht, Robertas Damasˇevicˇius , Reima Suomi, and Agusti Solanas Lithuanian University of Health Sciences, Kaunas, Lithuania European Federation for Medical Informatics-Health Information Management Europe ProRec, Berlin, Germany Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania Department of Management and Entrepreneurship, Turku School of Economics, University of Turku, Turku, Finland Department of Computer Engineering and Mathematics, Smart Health Research Group, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain Correspondence should be addressed to Giedrius Vanagas; g.vanagas@gmail.com Received 21 June 2018; Accepted 21 June 2018; Published 10 July 2018 Copyright © 2018 Giedrius Vanagas et al. "is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Information and communication technologies (ICT) bring sector. "is is not surprising, especially if we take into ac- a whole new dimension into the healthcare arena by in- count the complexity and nature of the healthcare ecosys- troducing electronic media that open the door to the use of tem. Hence, the implementation of ICT in practice remains new methodologies. Today, ICT support electronic gathering, difficult and implies many challenges at different levels, storage, processing, and exchange of information to treat involving patients, healthcare providers, and healthcare disease, prevent illness, promote healthy lifestyle, manage organizations [6]. Some of the most significant challenges for the adoption of eHealth (and its mHealth and sHealth patients with chronic illness, and many other applications [1, 2]. Electronic health (eHealth) has the ability to bridge gaps derivations) are inherent to the complexity of the healthcare system. Take, for example, the interoperability problem, between patients and doctors, patients and relatives, doctors and administrative staff, and so on. Also, eHealth helps to which is an old problem inherited from previous non- overcome barriers by means that are significantly different electronic healthcare infrastructures that is also common in from traditional healthcare solutions [3]. It has paved the way a variety of other domains [7]. Also, ethical issues such as for the adoption of sophisticated forms of healthcare provision privacy protection are a common problem that affects based on mobile devices and context-awareness, such as healthcare in general, but it is magnified by the use of ICT mobile health (mHealth) [4] and smart health (sHealth) [5], [8, 9]. Last but not least, the integration of new technologies which require unprecedentedly complex integration strategies. based on artificial intelligence, smartphones, neural net- "e advances in healthcare and ICT serve the society as works, and big data analysis (to name a few) into the healthcare sector poses magnificent challenges for the a whole (e.g., patients, healthcare professionals, relatives, and governments) and support the sustainability of current healthcare system’s limitations, which the scientific community is struggling to overcome. In this sense, the healthcare systems. New health ICT systems offer oppor- tunities to improve the effectiveness and efficiency of feasibility of many applications, policies, and data con- healthcare services through innovative approaches in clinical cerning the costs, effects, and effectiveness of eHealth and service delivery, personalized health, and public health, with telemedicine are at stake. "ere is a lack of research-based, a wide impact on the well-being of individuals. Clearly, the empirically-tested models to progress towards large-scale study of the integration of healthcare solutions based on ICT use of ICT in the health sector. is a hot topic that deserves attention. In this special issue, we have undertaken the task of Despite the well-known potential benefits of adopting collecting a set of articles that address some of the afore- eHealth solutions, approaches to ICT implementation used mentioned challenges faced by current eHealth infrastructure and applications. in other industries have had limited success in the healthcare 2 Journal of Healthcare Engineering systems, where communication and understanding be- Monitoring long-distance fast walking in daily activities is challenging due to the lack of specific scientific equipment. tween medical professionals and different tasks become essential. Usually, medical texts are full of references to In the literature, most gait experiments are performed by walking on treadmills. Unfortunately, gait data acquired on medical entities, which could be utilized by knowledge- treadmills are quite different from the real ones gotten on the based medical decision support systems. However, the ground. "e article by W.-F. Wang et al. “Study on Tripping diverse and ambiguous nature of linguistic ME forms are Risks in Fast Walking through Cadence-Controlled Gait challenging and hinder automatic medical entities recog- Analysis” approaches this problem by performing all nition and linking, hence requiring tedious work to an- walking tests intended to reveal important clues for tripping notate data and define features. Xu et al. propose an unsupervised framework for recognizing and linking risks in fast walking in a flat and straight pathway. "e results show that fast walking with bigger strides and lower cadence medical entities mentioned in Chinese online medical texts. "eir solution is the first complete unsupervised solution is the best way to keep safety on ordinary ground. Similarly, the monitoring of vital signs is a very active for Chinese medical text with both medical entity recog- nition and linking, which has considerable value in many research area. In the article “Analysis of a Pulse Rate Var- iability Measurement Using a Smartphone Camera,” applications such as medical knowledge-based construc- A. Banhalmi ´ et al. approach the problem of using off-the- tion and expansion, semantic comprehension of medical shelf technology (e.g., smartphones) to gather biometric data text, and medical Q&A systems. efficiently and reliably. More specifically, the authors analyse Interacting with healthcare systems and applications is an the possibility of using a smartphone camera to measure the emerging topic that deserves special attention when dealing pulse rate variability of patients. "eir experiments show with disabled people. "e article “Projection mapping user interface for disabled people” by J. Gelˇsvartas et al. seeks to help that photoplethysmography has high accuracy and does not differ more from ECG than ECG channels themselves. "is improve user interfaces for people with motoric or speech disabilities through projection mapping. "is technique makes study opens the door to simplified remote monitoring of the heart function. possible to create a natural augmented reality information presentation environment. "e authors provide a detailed In a related topic, haemovigilance is attracting attention. It is the set of surveillance procedures covering the entire description of a camera-projector system calibration pro- blood transfusion chain, from the donation and processing cedure. "e described system performs tabletop object de- of blood and its components, through to their provision and tection and automatic projection mapping. "e proposed transfusion to patients, and including their follow-up [10]. system was tested with real users and, overall, the interface was In the article “1e Evolving Role of Information Technology in evaluated positively by the system users, which in most cases Haemovigilance Systems,” A. Ramoa et al. study 23 hae- were able to learn how to use the system very quickly. "e article clearly opens ways for new ideas to produce support movigilance organizations in their use of information sys- tems. "ey find an increasing number of these organizations systems for motoric or speech disabled people. Last but not least, the constant aging of the population choosing web-based solutions to take care of haemovigi- lance. "ere are still some nonelectronic notification sys- raises a new set of problems for eHealth systems. In coming tems, but they lack in data completeness and consistency. years, age-related and degenerative diseases will become the "e authors support the development of electronic hae- main burden for public health systems. Lauraitis et al. ad- movigilance systems and conclude that national haemovi- dress the problem of identifying Huntington’s disease (HD) gilance systems could benefit from international guidelines at its early stage, so that elder patients could benefit from for their implementation and maintenance. future medical interventions that may help delaying the "ere are a number of approaches to develop function- progress of the disease. "ey created a computerized alities for medical decision support systems, which involve behavioural model, which allows predicting an impaired reaction condition for HD patients. "e model is embodied some extra efforts from users, thus limiting the spread of such systems in practice. V. L. Malykh and S. V. Rudetskiy provide in a mobile application available on smartphones and tablet PCs, which allows predicting the functional capacity level of a review of general approaches to decision support systems development based on nonreduced big clinical data in their subjects by performing an on-screen touch-based test, thus article “Approaches to Medical Decision-Making Based on Big providing a low-cost alternative to the currently used HD Clinical Data.” "e article discusses different approaches to symptom assessment procedures. building a medical decision support system based on big data. "e integration of eHealth solutions is far from simple, "e authors sought to abstain from any data reduction and and it must capture the attention of the healthcare research apply universal teaching and big data processing methods community for the next years. "e adoption of new mobile and context-aware technologies will multiply the benefits for independent of disease classification standards. "e paper assesses and compares the accuracy of recommendations patients and doctors but, at the same time, it will increase the complexity of the eHealth systems and it will be associated to among three options: case-based reasoning, simple single- layer neural network, and probabilistic neural network. major challenges. In this special issue, we have gathered some relevant examples of research studies that have put Further, the paper substantiates the assumption regarding the most efficient approach to solving the specified problem. their efforts towards this direction. Notwithstanding, there is In a similar research line, knowledge-based systems can a lot of unused potential in information systems to support notably improve the management of distributed eHealth eHealth and its mHealth and sHealth derivations. Journal of Healthcare Engineering 3 It has become clear that technology is not the limiting factor for future progress in healthcare. On the contrary, the main limitations come from the lack of innovativeness of ICT use and the lack of incentives from users and com- munities to adopt new technology-based solutions for the integrated healthcare. We hope that these limitations will be solved in the next years and that the articles collected in this special issue will contribute with their grain of sand to the overall improvement of healthcare systems worldwide. Giedrius Vanagas Rolf Engelbrecht Robertas Damaˇseviˇcius Reima Suomi Agusti Solanas References [1] R. L. Bashshur, G. W. Shannon, E. A. Krupinski et al., “National telemedicine initiatives: essential to healthcare re- form,” Telemedicine and e-Health, vol. 15, no. 6, pp. 600–610, [2] M.-P. Gagnon, M. Desmartis, M. Labrecque et al., “Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals,” Journal of Medical Systems, vol. 36, no. 1, pp. 241–277, 2012. [3] A. Carbo, M. Gupta, L. Tamariz et al., “Mobile technologies for managing heart failure: a systematic review and meta-analysis,” Telemedicine and e-Health, 2018, In press. [4] A. Solanas, A. Martinez-Balleste, P. A. Perez-Martinez, A. F. de la Pena, and J. Ramos, “m-carer: privacy-aware monitoring for people with mild cognitive impairment and dementia,” IEEE Journal on Selected Areas in Communica- tions, vol. 31, no. 9, pp. 19–27, 2013. [5] A. Solanas, C. Patsakis, M. Conti et al., “Smart health: a context-aware health paradigm within smart cities,” IEEE Communications Magazine, vol. 52, no. 8, pp. 74–81, 2014. [6] F. Mair, C. May, C. O’Donnell, T. Finch, F. Sullivan, and E. Murray, “Factors that promote or inhibit the imple- mentation of e-health systems: an explanatory systematic review,” Bulletin of the World Health Organization, vol. 90, no. 5, pp. 357–364, 2012. [7] C. Patsakis, P. Laird, M. Clear, M. Bouroche, and A. Solanas, “Interoperable privacy-aware e-participation within smart cities,” Computer, vol. 48, no. 1, pp. 52–58, 2015. [8] A. Martinez-Balleste, P. A. P´erez-Mart´ınez, and A. Solanas, “"e pursuit of citizens’ privacy: a privacy-aware smart city is possible,” IEEE Communications Magazine, vol. 51, no. 6, pp. 136–141, 2013. [9] A. Solanas, A. Martinez-Balleste, and J. M. Mateo-Sanz, “Distributed architecture with double-phase micro- aggregation for the private sharing of biomedical data in mobile health,” IEEE Transactions on Information Forensics and Security, vol. 8, no. 6, pp. 901–910, 2013. [10] World Health Organization, “Haemovigilance,” WHO, Geneva, Switzerland, 2016, http://www.who.int/bloodsafety/ haemovigilance/en/. International Journal of Advances in Rotating Machinery Multimedia Journal of The Scientific Journal of Engineering World Journal Sensors Hindawi Hindawi Publishing Corporation Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 http://www www.hindawi.com .hindawi.com V Volume 2018 olume 2013 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Journal of Control Science and Engineering Advances in Civil Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Submit your manuscripts at www.hindawi.com Journal of Journal of Electrical and Computer Robotics Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 VLSI Design Advances in OptoElectronics International Journal of Modelling & Aerospace International Journal of Simulation Navigation and in Engineering Engineering Observation Hindawi Hindawi Hindawi Hindawi Volume 2018 Volume 2018 Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com www.hindawi.com www.hindawi.com Volume 2018 International Journal of Active and Passive International Journal of Antennas and Advances in Chemical Engineering Propagation Electronic Components Shock and Vibration Acoustics and Vibration Hindawi Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018

Journal

Journal of Healthcare Engineering – Hindawi Publishing Corporation

Published: Jul 10, 2018

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