I. Tsoulos, G. Mitsi, A. Stavrakoudis, S. Papapetropoulos
Parkinson’s disease (PD) patient care is limited by inadequate, sporadic symptom monitoring, infrequent access to care, and sparse encounters with healthcare professionals leading to poor medical decision making and sub-optimal patient health-related outcomes. Recent advances in digital health approaches have enabled objective and remote monitoring of impaired motor function with the promise of profoundly changing the diagnostic, monitoring, and therapeutic landscape in PD. We recently demonstrated that by using a variety of upper limb functional tests iMotor, an artificial intelligence powered, cloud-based digital platform differentiated PD subjects from healthy volunteers (HV). The objective of this paper is to provide preliminary evidence that artificial intelligence systems may allow one to discriminate PD patients from (HV) further and determine different features of the disease within a cohort of PD subjects. The recently introduced Neural Network Construction (NNC) technique was used here to classify data collected by a mobile application (iMotor, Apptomics Inc, Wellesley, MA) into two categories: PD for patients and HV. The method was tested on a series of data previously collected, and the results were compared against more traditional techniques for neural network training. The NNC algorithm discriminated individual PD patients from HVs with 93.11% accuracy and ON vs. OFF state with 76.5% accuracy. Future applications of artificial intelligence-powered digital platforms can enhance clinical care and research by generating rich, reliable and sensitive datasets that can be used for medical decision- making during and between office visits. Additional artificial intelligence-based studies in larger cohorts of patients are warranted.
{"title":"Application of Machine Learning in a Parkinson's Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status","authors":"I. Tsoulos, G. Mitsi, A. Stavrakoudis, S. Papapetropoulos","doi":"10.3389/fict.2019.00010","DOIUrl":"https://doi.org/10.3389/fict.2019.00010","url":null,"abstract":"Parkinson’s disease (PD) patient care is limited by inadequate, sporadic symptom monitoring, infrequent access to care, and sparse encounters with healthcare professionals leading to poor medical decision making and sub-optimal patient health-related outcomes. Recent advances in digital health approaches have enabled objective and remote monitoring of impaired motor function with the promise of profoundly changing the diagnostic, monitoring, and therapeutic landscape in PD. We recently demonstrated that by using a variety of upper limb functional tests iMotor, an artificial intelligence powered, cloud-based digital platform differentiated PD subjects from healthy volunteers (HV). The objective of this paper is to provide preliminary evidence that artificial intelligence systems may allow one to discriminate PD patients from (HV) further and determine different features of the disease within a cohort of PD subjects. The recently introduced Neural Network Construction (NNC) technique was used here to classify data collected by a mobile application (iMotor, Apptomics Inc, Wellesley, MA) into two categories: PD for patients and HV. The method was tested on a series of data previously collected, and the results were compared against more traditional techniques for neural network training. The NNC algorithm discriminated individual PD patients from HVs with 93.11% accuracy and ON vs. OFF state with 76.5% accuracy. Future applications of artificial intelligence-powered digital platforms can enhance clinical care and research by generating rich, reliable and sensitive datasets that can be used for medical decision- making during and between office visits. Additional artificial intelligence-based studies in larger cohorts of patients are warranted.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"42 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83309627","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}
H. Regenbrecht, Jung-Woong Park, Claudia Ott, S. Mills, Matthew Cook, T. Langlotz
For mixed reality applications, where reality and virtual reality are spatially merged and aligned in interactive real-time, we propose a pure voxel representation as a rendering and interaction method of choice. We show that voxelstextemdash gap-less volumetric pixels in a regular grid in spacetextemdash allow for an actual user experience of a mixed reality environment, for a seamless blending of virtual and real, and for a sense of presence and co-presence in such an environment. If everything is based on voxels, even if coarse, visual coherence is achieved inherently. We argue the case for voxels by (1) conceptually defining and illustrating voxel-based mixed reality, (2) describing the computational feasibility, (3) presenting a fully functioning, low resolution prototype, (4) empirically exploring the user experience, and finally (5) discussing current work and future directions for voxel-based mixed reality. This work is not the first that utilises voxels for mixed reality, but is the first that has an holistic view on voxel-based mixed realities as an effective way of experiencing and interacting with mixed reality environments.
{"title":"Preaching Voxels: An Alternative Approach to Mixed Reality","authors":"H. Regenbrecht, Jung-Woong Park, Claudia Ott, S. Mills, Matthew Cook, T. Langlotz","doi":"10.3389/fict.2019.00007","DOIUrl":"https://doi.org/10.3389/fict.2019.00007","url":null,"abstract":"For mixed reality applications, where reality and virtual reality are spatially merged and aligned in interactive real-time, we propose a pure voxel representation as a rendering and interaction method of choice. We show that voxelstextemdash gap-less volumetric pixels in a regular grid in spacetextemdash allow for an actual user experience of a mixed reality environment, for a seamless blending of virtual and real, and for a sense of presence and co-presence in such an environment. If everything is based on voxels, even if coarse, visual coherence is achieved inherently. We argue the case for voxels by (1) conceptually defining and illustrating voxel-based mixed reality, (2) describing the computational feasibility, (3) presenting a fully functioning, low resolution prototype, (4) empirically exploring the user experience, and finally (5) discussing current work and future directions for voxel-based mixed reality. This work is not the first that utilises voxels for mixed reality, but is the first that has an holistic view on voxel-based mixed realities as an effective way of experiencing and interacting with mixed reality environments.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"61 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83000548","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}
Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal
In the original article, the reference for “Inselberg, 2009” was incorrectly written as “Inselberg, A. (2009). “Parallel Coordinates,” in Encyclopedia of Database Systems, eds L. Liu and M. T. Özsu (Dordrecht: Springer), 2018–2024.” It should be “Inselberg A. (2009). Parallel Coordinates: Visual Multidimensional Geometry and Its Applications. New York, NY: Springer.” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
{"title":"Corrigendum: Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support","authors":"Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal","doi":"10.3389/FICT.2019.00006","DOIUrl":"https://doi.org/10.3389/FICT.2019.00006","url":null,"abstract":"In the original article, the reference for “Inselberg, 2009” was incorrectly written as “Inselberg, A. (2009). “Parallel Coordinates,” in Encyclopedia of Database Systems, eds L. Liu and M. T. Özsu (Dordrecht: Springer), 2018–2024.” It should be “Inselberg A. (2009). Parallel Coordinates: Visual Multidimensional Geometry and Its Applications. New York, NY: Springer.” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"60 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75700492","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}
Collaborative Mixed-Reality (CMR) applications are gaining interest in a wide range of areas including games, social interaction, design and health-care. To date, the vast majority of published work has focused on display technology advancements, software, collaboration architectures and applications. However, the potential security concerns that affect collaborative platforms have received limited research attention. In this position paper, we investigate the challenges posed by cyber-security threats to CMR systems. We focus on how typical network architectures facilitating CMR and how their vulnerabilities can be exploited by attackers, and discuss the degree of potential social, monetary impacts, psychological and other harms that may result from such exploits. The main purpose of this paper is to provoke a discussion on CMR security concerns. We highlight insights from a cyber-security threat modelling perspective and also propose potential directions for research and development toward better mitigation strategies. We present a simple, systematic approach to understanding a CMR attack surface through an abstraction-based reasoning framework to identify potential attack vectors. Using this framework, security analysts, engineers, designers and users alike (stakeholders) can identify potential Indicators of Exposures (IoE) and Indicators of Compromise (IoC). Our framework allows stakeholders to reduce their CMR attack surface as well understand how Intrusion Detection System (IDS) approaches can be adopted for CMR systems. To demonstrate the validity to our framework, we illustrate several CMR attack surfaces through a set of use-cases. Finally, we also present a discussion on future directions this line of research should take.
{"title":"Cyber Security Threats and Challenges in Collaborative Mixed-Reality","authors":"J. Happa, M. Glencross, A. Steed","doi":"10.3389/fict.2019.00005","DOIUrl":"https://doi.org/10.3389/fict.2019.00005","url":null,"abstract":"Collaborative Mixed-Reality (CMR) applications are gaining interest in a wide range of areas including games, social interaction, design and health-care. To date, the vast majority of published work has focused on display technology advancements, software, collaboration architectures and applications. However, the potential security concerns that affect collaborative platforms have received limited research attention. In this position paper, we investigate the challenges posed by cyber-security threats to CMR systems. We focus on how typical network architectures facilitating CMR and how their vulnerabilities can be exploited by attackers, and discuss the degree of potential social, monetary impacts, psychological and other harms that may result from such exploits. The main purpose of this paper is to provoke a discussion on CMR security concerns. We highlight insights from a cyber-security threat modelling perspective and also propose potential directions for research and development toward better mitigation strategies. We present a simple, systematic approach to understanding a CMR attack surface through an abstraction-based reasoning framework to identify potential attack vectors. Using this framework, security analysts, engineers, designers and users alike (stakeholders) can identify potential Indicators of Exposures (IoE) and Indicators of Compromise (IoC). Our framework allows stakeholders to reduce their CMR attack surface as well understand how Intrusion Detection System (IDS) approaches can be adopted for CMR systems. To demonstrate the validity to our framework, we illustrate several CMR attack surfaces through a set of use-cases. Finally, we also present a discussion on future directions this line of research should take.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"38 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74847936","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}
A. Rizzo, Maurizio Caporali, D. Conti, Francesco Montefoschi, G. Burresi, B. Sinopoli
The domain of Human-Computer Interaction does not concern just the design of technology that is easy to use, useful, and fancy – it has to do with our role in shaping our environment, our ecological niche that today involves the whole earth. A key concept in the interaction between humans and computing resources is that of appropriation originally proposed by Aleksei Nikolaevich Leontiev. In the present paper we will first review the concept of appropriation and will present bricolage as a key activity for fostering appropriation. Then we will present the Makers Movement as a socio-cultural movement relevant for the process of appropriation of digital technology. Finally, we will describe our approach and vision in the design of the UDOO, a single board computer, and of a specific developing environment, UAPPI, for enabling the appropriation through meaningful activities of digital technologies.
{"title":"The Design of UDOO Boards: Contributing to the Appropriation of Digital Technology","authors":"A. Rizzo, Maurizio Caporali, D. Conti, Francesco Montefoschi, G. Burresi, B. Sinopoli","doi":"10.3389/fict.2019.00004","DOIUrl":"https://doi.org/10.3389/fict.2019.00004","url":null,"abstract":"The domain of Human-Computer Interaction does not concern just the design of technology that is easy to use, useful, and fancy – it has to do with our role in shaping our environment, our ecological niche that today involves the whole earth. A key concept in the interaction between humans and computing resources is that of appropriation originally proposed by Aleksei Nikolaevich Leontiev. In the present paper we will first review the concept of appropriation and will present bricolage as a key activity for fostering appropriation. Then we will present the Makers Movement as a socio-cultural movement relevant for the process of appropriation of digital technology. Finally, we will describe our approach and vision in the design of the UDOO, a single board computer, and of a specific developing environment, UAPPI, for enabling the appropriation through meaningful activities of digital technologies.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"123 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2019-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77071688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial: Active Learning: Theoretical Perspectives, Empirical Studies, and Design Profiles","authors":"R. Cassidy, E. Charles, J. Slotta","doi":"10.3389/fict.2019.00003","DOIUrl":"https://doi.org/10.3389/fict.2019.00003","url":null,"abstract":"","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"1 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90084247","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}
Electronic textiles (e-textiles) have played a significant role in computational audio ranging from wearable interfaces for creative expression to more utilitarian purposes such as acoustic monitoring for military applications. This article looks at e-textiles within computational audio from three perspectives: the historical developments of the field; the core enabling technologies; and the primary application areas. It closes with a discussion of what role e-textiles may play in future computational audio systems.
{"title":"Cords and Chords: Exploring the Role of E-Textiles in Computational Audio","authors":"R. Stewart","doi":"10.3389/fict.2019.00002","DOIUrl":"https://doi.org/10.3389/fict.2019.00002","url":null,"abstract":"Electronic textiles (e-textiles) have played a significant role in computational audio ranging from wearable interfaces for creative expression to more utilitarian purposes such as acoustic monitoring for military applications. This article looks at e-textiles within computational audio from three perspectives: the historical developments of the field; the core enabling technologies; and the primary application areas. It closes with a discussion of what role e-textiles may play in future computational audio systems.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"66 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80905005","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}
Antoine Costes, F. Argelaguet, F. Danieau, P. Guillotel, A. Lécuyer
Haptic enhancement of touchscreens usually involves vibrating motors producing limited sensations or custom mechanical actuators that are difficult to disseminate. In this paper, we propose an alternative approach called "Touchy", where a symbolic cursor is introduced under the user's finger, to evoke various haptic properties through changes in its shape and motion. This novel metaphor enables to address four different perceptual dimensions, namely: hardness, friction, fine roughness and macro roughness. Our metaphor comes with a set of seven visual effects that we compared with real texture samples within a user study conducted with 14 participants. Taken together our results show that Touchy is able to elicit clear and distinct haptic properties: stiffness, roughness, reliefs, stickiness and slipperiness.
{"title":"Touchy : A Visual Approach for Simulating Haptic Effects on Touchscreens","authors":"Antoine Costes, F. Argelaguet, F. Danieau, P. Guillotel, A. Lécuyer","doi":"10.3389/fict.2019.00001","DOIUrl":"https://doi.org/10.3389/fict.2019.00001","url":null,"abstract":"Haptic enhancement of touchscreens usually involves vibrating motors producing limited sensations or custom mechanical actuators that are difficult to disseminate. In this paper, we propose an alternative approach called \"Touchy\", where a symbolic cursor is introduced under the user's finger, to evoke various haptic properties through changes in its shape and motion. This novel metaphor enables to address four different perceptual dimensions, namely: hardness, friction, fine roughness and macro roughness. Our metaphor comes with a set of seven visual effects that we compared with real texture samples within a user study conducted with 14 participants. Taken together our results show that Touchy is able to elicit clear and distinct haptic properties: stiffness, roughness, reliefs, stickiness and slipperiness.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"45 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2019-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78161372","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}
Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal
Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice, computational frameworks are required, which can handle and visualize many objectives simultaneously, provide optimal solutions quickly and representatively, all while remaining simple and intuitive to use and understand by practitioners. Addressing these issues, this work introduces SAGESSE (Systematic Analysis, Generation, Exploration, Steering and Synthesis Experience), a decision support methodology, which relies on interactive multiobjective optimization. Its innovative aspects reside in the combination of (i) parallel coordinates as a means to simultaneously explore and steer the underlying alternative generation process, (ii) a Sobol sequence to efficiently sample the points to explore in the objective space, and (iii) on-the-fly application of multiattribute decision analysis, cluster analysis and other data visualization techniques linked to the parallel coordinates. An illustrative example demonstrates the applicability of the methodology to a large, complex urban planning problem.
{"title":"Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support","authors":"Sébastien Cajot, Nils Schüler, M. Peter, A. Koch, F. Maréchal","doi":"10.3389/fict.2018.00032","DOIUrl":"https://doi.org/10.3389/fict.2018.00032","url":null,"abstract":"Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice, computational frameworks are required, which can handle and visualize many objectives simultaneously, provide optimal solutions quickly and representatively, all while remaining simple and intuitive to use and understand by practitioners. Addressing these issues, this work introduces SAGESSE (Systematic Analysis, Generation, Exploration, Steering and Synthesis Experience), a decision support methodology, which relies on interactive multiobjective optimization. Its innovative aspects reside in the combination of (i) parallel coordinates as a means to simultaneously explore and steer the underlying alternative generation process, (ii) a Sobol sequence to efficiently sample the points to explore in the objective space, and (iii) on-the-fly application of multiattribute decision analysis, cluster analysis and other data visualization techniques linked to the parallel coordinates. An illustrative example demonstrates the applicability of the methodology to a large, complex urban planning problem.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"54 1","pages":"32"},"PeriodicalIF":0.0,"publicationDate":"2019-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89957991","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}
Digitalization is changing healthcare today. Big data analytics of medical information allows diagnostics, therapy and development of personalized medicines, to provide unprecedented treatment. This leads to better patient outcomes, while containing costs. In this review, opportunities, challenges and solutions for this health-data revolution are discussed. Integration and near-instant-response analytics across large datasets ¬can support care-givers and researchers to test and discard hypotheses more quickly. Physicians want to compare a patient to other similar patients, to learn and communicate about treatment best-practices with peers, across large cohorts and sets of parameters. Real-time interactions between physician and patient are becoming more important, allowing ‘live’ support of patients instead of single interactions once every few weeks. Researchers from many disciplines (biomedical, payers, governments) want to interpret large anonymized datasets, to uncover trends in drug-candidate behavior, treatment regimens, clinical trials or reimbursements, and to act on those insights. These opportunities are however met by daunting challenges. Biomedical information is available in data silos of structured and unstructured formats (doctor letters, patient records, omics data, device data). Efficient usage of biomedical information is also hampered by data privacy concerns. This has led to a highly-regulated industry, as a result of which digitalization in healthcare has progressed slower than in other industries. This review concludes with examples of how integration and interpretation of big data can be used to break down data silos and pave the way to better patient outcomes, value-based care, and the creation of an intelligent enterprise for healthcare.
{"title":"Better Patient Outcomes Through Mining of Biomedical Big Data","authors":"C. Suter-Crazzolara","doi":"10.3389/fict.2018.00030","DOIUrl":"https://doi.org/10.3389/fict.2018.00030","url":null,"abstract":"Digitalization is changing healthcare today. Big data analytics of medical information allows diagnostics, therapy and development of personalized medicines, to provide unprecedented treatment. This leads to better patient outcomes, while containing costs. In this review, opportunities, challenges and solutions for this health-data revolution are discussed. Integration and near-instant-response analytics across large datasets ¬can support care-givers and researchers to test and discard hypotheses more quickly. Physicians want to compare a patient to other similar patients, to learn and communicate about treatment best-practices with peers, across large cohorts and sets of parameters. Real-time interactions between physician and patient are becoming more important, allowing ‘live’ support of patients instead of single interactions once every few weeks. Researchers from many disciplines (biomedical, payers, governments) want to interpret large anonymized datasets, to uncover trends in drug-candidate behavior, treatment regimens, clinical trials or reimbursements, and to act on those insights. These opportunities are however met by daunting challenges. Biomedical information is available in data silos of structured and unstructured formats (doctor letters, patient records, omics data, device data). Efficient usage of biomedical information is also hampered by data privacy concerns. This has led to a highly-regulated industry, as a result of which digitalization in healthcare has progressed slower than in other industries. This review concludes with examples of how integration and interpretation of big data can be used to break down data silos and pave the way to better patient outcomes, value-based care, and the creation of an intelligent enterprise for healthcare.","PeriodicalId":37157,"journal":{"name":"Frontiers in ICT","volume":"43 1","pages":"30"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90686218","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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