scholarly journals Sensor, Signal, and Imaging Informatics: Big Data and Smart Health Technologies

2014 ◽  
Vol 23 (01) ◽  
pp. 150-153 ◽  
Author(s):  
A. Moreau-Gaudry ◽  
S. Voros ◽  
Keyword(s):  
Big Data ◽  
Peer Review Process ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Double Blind ◽  
Health Technologies ◽  
Excellent Research ◽  
Study Population ◽  
Smart Health ◽  
Initial Selection

Summary Objectives: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2014 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2013, with a focus on Big Data and Smart Health Technologies Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2013, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. Results: Big Data are collections of large and complex datasets which have the potential to capture the whole variability of a study population. More and more innovative sensors are emerging, allowing to enrich these big databases. However they become more and more challenging to process (i.e. capture, store, search, share, transfer, exploit) because traditional tools are not adapted anymore. Conclusions: This review shows that it is necessary not only to develop new tools specifically designed for Big Data, but also to evaluate their performance on such large datasets.

scholarly journals Unintended Consequences of Sensor, Signal, and Imaging Informatics: New Problems and New Solutions

2016 ◽  
Vol 25 (01) ◽  
pp. 159-162
Author(s):  
C. Hughes ◽  
A. Moreau-Gaudry ◽  
S. Voros
Keyword(s):  
Expert Knowledge ◽  
Peer Review Process ◽  
Imaging Informatics ◽  
Unintended Consequences ◽  
Sensor Signal ◽  
Therapeutic Approaches ◽  
Double Blind ◽  
Excellent Research ◽  
Selection For ◽  
Initial Selection

Summary Objectives: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2016 of excellent research in the broad field of Sensor, Signal and Imaging Informatics published in the year 2015, with a focus on Unintended consequences: new problems and new solutions. Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2015, from the PubMed and Web of Science databases. The set of MesH keywords used was provided by experts. Results: The constant advances in medical technology allow ever more relevant diagnostic and therapeutic approaches to be designed. Nevertheless, there is a need to acquire expert knowledge of these innovations in order to identify precociously new associated problems for which new solutions need to be designed and developed.

scholarly journals Sensor, Signal, and Imaging Informatics: Evidence-Based Health Informatics

2013 ◽  
Vol 22 (01) ◽  
pp. 117-119
Author(s):  
A. Moreau-Gaudry ◽  
S. Voros
Keyword(s):  
Health Informatics ◽  
Peer Review Process ◽  
Wide Spectrum ◽  
Imaging Informatics ◽  
Added Value ◽  
Evidence Based ◽  
Sensor Signal ◽  
Optimal Care ◽  
Double Blind ◽  
Excellent Research

Summary Objectives: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2013 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2012. Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2012, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. Results: Current research in the field of sensor signal and imaging informatics is based on innovative sensors from which relevant information (signal and imaging) can be acquired and integrated into workflow based or patient based models. This rich environment can help the medical staff in carrying out more optimal care. The demonstration of the added value of such innovations is more and more performed through evidence-based evaluations. Conclusions: The best paper selection of articles on sensors, signal, and imaging informatics illustrates the wide spectrum covered by this field in 2012, and the attention paid to evaluations.

scholarly journals Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring

2012 ◽  
Vol 21 (01) ◽  
pp. 100-103
Author(s):  
H. Müller ◽  
A. Foncubierta-Rodriguez ◽  
A. Depeursinge ◽  
Keyword(s):  
Signal Processing ◽  
Peer Review Process ◽  
Imaging Informatics ◽  
Medical Problems ◽  
Excellent Research ◽  
Robust Techniques ◽  
Embedded Signal Processing ◽  
Personalized Health ◽  
Initial Selection ◽  
Selection Of

SummaryTo summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2011.Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2012 through a manual initial selection and a peer review process to find the best paper in this domain published in 2011.Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. An increased number of systems with embedded signal processing where sensors include signal processing were observed in 2011. In all domains, pragmatic solutions with the goal of clinical impact have grown, including in developing countries where simple, robust techniques are combined to address primary and simple medical problems with potentially high impact. Finally, recent advances in image and signal processing are moving towards patient-based modeling.The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field in the year 2012.

scholarly journals Section 4: Sensor, Signal and Imaging Informatics: Sensors, Medical Image and Signal Processing

2006 ◽  
Vol 15 (01) ◽  
pp. 70-73
Author(s):  
R.W Westphal ◽  
Keyword(s):  
Medical Image ◽  
Selection Process ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Tissue Modeling ◽  
Excellent Research ◽  
Body Sensors ◽  
Selection For ◽  
Soft Tissue Modeling ◽  
Future Patient

SummaryObjectives:To summarize current excellent research in the field of sensor, signal and imaging informatics.Method:Synopsis of the articles selected for the IMIA Yearbook 2007.Results:The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.Conclusion:The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field of sensors, signal and image processing with applications in medical informatics. However, the selected papers demonstrate, how advances in this field may positively affect future patient care.

scholarly journals Sensors, Medical Images and Signal Processing:

2011 ◽  
Vol 20 (01) ◽  
pp. 92-95 ◽  
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Study Design ◽  
Medical Images ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Excellent Research ◽  
Imaging Research ◽  
Selection Of

SummaryTo summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2010.Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2011.Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. When compared to research on sensors and signals, imaging research represent the majority of published papers in 2010. Research published in 2010 was characterized by an increased participation of the clinicians in the study design, implementation and validation of computerized diagnosis aid tools.The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field.

scholarly journals Sensors, Medical Images and Signal Processing:

2010 ◽  
Vol 19 (01) ◽  
pp. 43-46 ◽  
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Field Research ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Input And Output ◽  
Output Quality ◽  
Excellent Research ◽  
Selection Of

Summary Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics. Method: Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2010. Results: Current research in the field of sensor, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. Conclusions: The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field. Research published in 2009 was characterized by the emergence of mature computerized diagnosis aid frameworks with assessment of input and output quality. The purpose of these systems is clearly to bring new image and signal interpretation tools to clinicians.

scholarly journals Smart healthcare

2019 ◽  
Vol 4 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Sherali Zeadally ◽  
Farhan Siddiqui ◽  
Zubair Baig ◽  
Ahmed Ibrahim
Keyword(s):  
Health Care ◽  
Big Data ◽  
Healthcare Access ◽  
Health Care Information ◽  
Content Type ◽  
Health Technologies ◽  
Smart Healthcare ◽  
Health Care Information Systems ◽  
Big Data Technologies ◽  
Smart Health

Purpose The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions. Design/methodology/approach The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health. Findings The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs. Originality/value The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

scholarly journals How Sensor, Signal, and Imaging Informatics May Impact Patient Centered Care and Care Coordination

2015 ◽  
Vol 24 (01) ◽  
pp. 102-105
Author(s):  
A. Moreau-Gaudry ◽  
S. Voros ◽  
Keyword(s):  
Care Coordination ◽  
Review Process ◽  
Patient Centered Care ◽  
Imaging Informatics ◽  
Patient Specific ◽  
Specific Information ◽  
Sensor Signal ◽  
Patient Centered ◽  
Excellent Research ◽  
Centered Care

Summary Objective: This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2015 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2014, with a focus on patient centered care coordination. Methods: The two section editors performed a systematic initial selection and a double blind peer review process to select a list of candidate best papers in the domain published in 2014, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used. This selection was peer-reviewed by external reviewers. Results: The review process highlighted articles illustrating two current trends related to care coordination and patient centered care: the enhanced capacity to predict the evolution of a disease based on patient-specific information can impact care coordination; similarly, better perception of the patient and his treatment could lead to enhanced personalized care with a potential impact on care coordination. Conclusions: This review shows the multiplicity of angles from which the question of patient-centered care can be addressed, with consequences on care coordination that will need to be confirmed and demonstrated in the future.

scholarly journals Big Data - Smart Health Strategies

2014 ◽  
Vol 23 (01) ◽  
pp. 48-51 ◽  
Author(s):  
F. Thiessard ◽  
V. Koutkias ◽  
Keyword(s):  
Big Data ◽  
High Performance ◽  
Review Process ◽  
Peer Review Process ◽  
Biological Data ◽  
Bibliographic Databases ◽  
System Architectures ◽  
Clinical Notes ◽  
Big Data Technologies ◽  
Smart Health

Summary Objectives: To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. Methods: A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field. Results: The complete review process selected four best papers, illustrating various aspects of the special theme, among them: (a) using large volumes of unstructured data and, specifically, clinical notes from Electronic Health Records (EHRs) for pharmacovigilance; (b) knowledge discovery via querying large volumes of complex (both structured and unstructured) biological data using big data technologies and relevant tools; (c) methodologies for applying cloud computing and big data technologies in the field of genomics, and (d) system architectures enabling high-performance access to and processing of large datasets extracted from EHRs. Conclusions: The potential of big data in biomedicine has been pinpointed in various viewpoint papers and editorials. The review of current scientific literature illustrated a variety of interesting methods and applications in the field, but still the promises exceed the current outcomes. As we are getting closer towards a solid foundation with respect to common understanding of relevant concepts and technical aspects, and the use of standardized technologies and tools, we can anticipate to reach the potential that big data offer for personalized medicine and smart health strategies in the near future.

scholarly journals Sensors, Medical Images and Signal Processing:

2009 ◽  
Vol 18 (01) ◽  
pp. 81-83
Author(s):  
A. Depeursinge ◽  
H. Müller ◽  
Keyword(s):  
Signal Processing ◽  
Medical Informatics ◽  
Medical Images ◽  
Imaging Informatics ◽  
International Medical ◽  
Sensor Signal ◽  
Excellent Research ◽  
Number Of Publications ◽  
Field Imaging ◽  
Selection Of

Summary Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics. Method Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2009. Results Current research in the field of sensors, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics. Conclusions The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field. Imaging and particularly multi-dimensional imaging has had in 2008 by far the largest number of publications compared to signals and sensors.

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