A Bio-Medical Informatics Perspective on Human Factors

2008 ◽  
Vol 17 (01) ◽  
pp. 41-43
Author(s):  
P. Ruch ◽  
Keyword(s):  
Human Factors ◽  
Interpersonal Communication ◽  
Medical Informatics ◽  
Large Scale ◽  
Biomedical Data ◽  
Scientific Investigations ◽  
Working Environments ◽  
Excellent Research ◽  
Medical Order ◽  
High Throughput Experiments

Summary Objectives To summarize current excellent research in the field of human factors. MethodsWe provide a synopsis of the articles selected for the IMIA Yearbook 2008, from which we attempt to derive a synthetic overview of the activity and new trends in the field. Results while the state of the research in the field of human factors is illustrated by a set of fairly heterogeneous studies, it is possible to identify trends. Thus, clearly, the importance of issues related to medical order entry, which also founded human factors studies in medical informatics, still occupies a central role in the field. In parallel, we observe an emerging interest for human factors from the field of bioinformatics, where the mass of data generated by high/ throughput experiments and large-scale genome analysis projects, raises specific processing challenges. Such challenges will have to be addressed to achieve post-genomics era medicine. Conclusions The best paper selection of articles on human factors shows examples of excellent research on methods concerning original development as well as quality assurance of previously reported studies. The crucial role of preserving interpersonal communication among healthcare staff in computerized working environments is complemented by more original scientific investigations, which demonstrate the needs for computerized applications to transform the biomedical data overflow into more operational clinical knowledge. Altogether these papers support the idea that more elaborated computer tools, likely to combine contextual contents, are needed.

scholarly journals A Medical Informatics Perspective on Health Informatics 3.0

2011 ◽  
Vol 20 (01) ◽  
pp. 30-32
Author(s):  
P. Ruch ◽  
Keyword(s):  
Semantic Web ◽  
Health Informatics ◽  
Large Scale ◽  
Biomedical Data ◽  
Biomedical Knowledge ◽  
Data Set ◽  
Web 3.0 ◽  
Research Fields ◽  
Emerging Trends ◽  
Excellent Research

SummaryTo summarize current advances of the so-called Web 3.0 and emerging trends of the semantic web.We provide a synopsis of the articles selected for the IMIA Yearbook 2011, from which we attempt to derive a synthetic overview of the today’s and future activities in the field.while the state of the research in the field is illustrated by a set of fairly heterogeneous studies, it is possible to identify significant clusters. While the most salient challenge and obsessional target of the semantic web remains its ambition to simply interconnect all available information, it is interesting to observe the developments of complementary research fields such as information sciences and text analytics. The combined expression power and virtually unlimited data aggregation skills of Web 3.0 technologies make it a disruptive instrument to discover new biomedical knowledge. In parallel, such an unprecedented situation creates new threats for patients participating in large-scale genetic studies as Wjst demonstrate how various data set can be coupled to re-identify anonymous genetic information.The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development of core semantic web techniques as well as transdisciplinary achievements as exemplified with literature-based analytics. This selected set of scientific investigations also demonstrates the needs for computerized applications to transform the biomedical data overflow into more operational clinical knowledge with potential threats for confidentiality directly associated with such advances. Altogether these papers support the idea that more elaborated computer tools, likely to combine heterogeneous text and data contents should soon emerge for the benefit of both experimentalists and hopefully clinicians.

scholarly journals A Bio-medical Informatics Perspective on Human Factors

2010 ◽  
Vol 19 (01) ◽  
pp. 21-24
Author(s):  
R. Meyer ◽  
Keyword(s):  
Human Factors ◽  
Medical Informatics ◽  
Interdisciplinary Research ◽  
Information Technologies ◽  
Healthcare Personnel ◽  
Research Papers ◽  
Healthcare Information ◽  
Excellent Research ◽  
Selection Of

Summary Objectives: to select and summarize excellent research papers published in 2009 in the field of human factors in bio-medical informatics. Methods: we attempt to derive a synthetic overview of the activity and new trends in this field, from a selection of research papers published in 2009. Results: it is possible to identify commonalities in this diverse domain: healthcare information technologies (HIT) adoption still occupies a central role in the fieldwith research focused mainly on measuring impact and influence of this adoption. Conclusion: The HIT community is giving birth to interdisciplinary research and clear methods to optimize implementation and subsequent achievement of managerial objectives. It also tries to synthesize the major findings in workshops, meetings and networks. The best paper selection of articles on human factors shows examples of excellent research on methods concerning original options to assess the importance of healthcare personnel psycho-sociology when confronted to the adoption of new tools and process which still does not prevent failures but will help learning from them.

scholarly journals Findings from the Yearbook 2010 Section on Decision Support Systems

2010 ◽  
Vol 19 (01) ◽  
pp. 55-57
Author(s):  
P. Ruch ◽  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Large Scale ◽  
Support Systems ◽  
Medical Decision ◽  
Biomedical Data ◽  
Care Providers ◽  
Medical Decision Support ◽  
Excellent Research ◽  
Medical Decision Support Systems

Summary Objective: To summarize current excellent research in the field of computer-based decision support systems in health and healthcare. Methods: We provide a synopsis of the articles selected for the IMIA Yearbook 2010, from which we attempt to derive a synthetic overview of the activity and new trends in the field. Results: While the state of the research in the field of medical decision support systems is illustrated by a set of fairly heterogeneous studies, it is possible to identify trends. Thus, clearly, the importance of studies related to computerized prescription order entry (CPOE) systems and guidelines management systems for both medical decision making and care providers, occupies a central role in the field, with application affecting also EHR vendors. In parallel, we observe translational interests for developing bridges with results generated by molecular biology, where the mass of data generated by high/ throughput experiments and large-scale genome analysis projects, raises specific processing challenges. Conclusions: The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development as well as quality assurance of previously reported studies. This selected set of scientific investigations demonstrates the needs for computerized applications to transform the biomedical data overflow into more operational clinical knowledge. Altogether these papers support the idea that more elaborated computer tools, likely to combine heterogeneous contextual contents, are needed.

scholarly journals A Bio-medical Informatics Perspective on Human Factors

2009 ◽  
Vol 18 (01) ◽  
pp. 59-62
Author(s):  
R. Meyer ◽  
Keyword(s):  
Human Factors ◽  
Medical Informatics ◽  
Interdisciplinary Research ◽  
Information Technologies ◽  
The State ◽  
Healthcare Personnel ◽  
Healthcare Information ◽  
Excellent Research ◽  
Personnel Psychology ◽  
Selection Of

Summary Objectives To summarize current excellent research in the field of bio-medical informatics human factors. Methods We provide a synopsis of the articles selected for the IMIA yearbook 2009, from which we attempt to derive a synthetic overview of the activity and new trends in the field. A special attention was made to pick papers also from non bio-medical informatics special ized journals and to perform a worldwide selection. Results while the state of the research in the field of human factors is illustrated by a set of fairly heterogeneous studies, it is possible to identify trends. Thus, clearly, the importance of issues related to healthcare information technologies (HIT) adoption, still occupies a central role in the field. Conclusions Convincing the clinicians of the HIT potential gains is still a challenge. But the HIT community will also have to give birth to interdisciplinary research and clear methods to optimize imple mentations and subsequent achievement of managerial objectives. The best paper selection of articles on human factors shows ex amples of excellent research on methods concerning original options to once again assess the importance of HIT and take into account the healthcare personnel psychology when confronted to the adop tion of new tools and processes.

scholarly journals Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook

2020 ◽  
Vol 29 (01) ◽  
pp. 163-168
Author(s):  
Ferdinand Dhombres ◽  
Jean Charlet ◽  
Keyword(s):  
Knowledge Representation ◽  
Medical Informatics ◽  
Large Scale ◽  
Knowledge Bases ◽  
International Medical ◽  
Biomedical Data ◽  
Semantic Representations ◽  
Provenance Information ◽  
Research Areas ◽  
Semantic Resources

Objective: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2019. Methods: A comprehensive and standardized review of the biomedical informatics literature was performed to select the most interesting papers of KRM published in 2019, based on PubMed and ISI Web Of Knowledge queries. Results: Four best papers were selected among 1,189 publications retrieved, following the usual International Medical Informatics Association Yearbook reviewing process. In 2019, research areas covered by pre-selected papers were represented by the design of semantic resources (methods, visualization, curation) and the application of semantic representations for the integration/enrichment of biomedical data. Besides new ontologies and sound methodological guidance to rethink knowledge bases design, we observed large scale applications, promising results for phenotypes characterization, semantic-aware machine learning solutions for biomedical data analysis, and semantic provenance information representations for scientific reproducibility evaluation. Conclusion: In the KRM selection for 2019, research on knowledge representation demonstrated significant contributions both in the design and in the application of semantic resources. Semantic representations serve a great variety of applications across many medical domains, with actionable results.

scholarly journals Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 392
Author(s):  
Zige Lan ◽  
Zhangwen Su ◽  
Meng Guo ◽  
Ernesto C. Alvarado ◽  
Futao Guo ◽  
...  
Keyword(s):  
Human Factors ◽  
Large Scale ◽  
Fire Occurrence ◽  
Climate Factors ◽  
Wildfire Occurrence ◽  
Prediction And Prevention ◽  
Data Resolution ◽  
Main Driver ◽  
Landscape Factors ◽  
Modelling Approach

Understanding the drivers of wildfire occurrence is of great value for fire prevention and management, but due to the variation in research methods, data sources, and data resolution of those studies, it is challenging to conduct a large-scale comprehensive comparative qualitative analysis on the topic. China has diverse vegetation types and topography, and has undergone rapid economic and social development, but experiences a high frequency of wildfires, making it one of the ideal locations for wildfire research. We applied the Random Forests modelling approach to explore the main types of wildfire drivers (climate factors, landscape factors and human factors) in three high wildfire density regions (Northeast (NE), Southwest (SW), and Southeast (SE)) of China. The results indicate that climate factors were the main driver of wildfire occurrence in the three regions. Precipitation and temperature significantly impacted the fire occurrence in the three regions due to the direct influence on the moisture content of forest fuel. However, wind speed had important influence on fire occurrence in the SE and SW. The explanation power of the landscape and human factors varied significantly between regions. Human factors explained 40% of the fire occurrence in the SE but only explained less than 10% of the fire occurrence in the NE and SW. The density of roads was identified as the most important human factor driving fires in all three regions, but railway density had more explanation power on fire occurrence in the SE than in the other regions. The landscape factors showed nearly no influence on fire occurrence in the NE but explained 46.4% and 20.6% in the SE and SW regions, respectively. Amongst landscape factors, elevation had the highest average explanation power on fire occurrence in the three regions, particularly in the SW. In conclusion, this study provides useful insights into targeted fire prediction and prevention, which should be more precise and effective under climate change and socio-economic development.

Development of a Civilian 3d Hand Scan Database

2020 ◽  
Vol 64 (1) ◽  
pp. 995-999
Author(s):  
Bethany Juhnke ◽  
Colleen Pokorny ◽  
Linsey Griffin ◽  
Susan Sokolowski
Keyword(s):  
Human Factors ◽  
Product Design ◽  
Large Scale ◽  
Human Hand ◽  
Minimal Cost ◽  
Anthropometric Data

Despite the complexity of the human hand, most large-scale anthropometric data for the human hand includes minimal measurements. Anthropometric studies are expensive and time-consuming to conduct, and more efficient methods are needed to capture hand data and build large-scale civilian databases to impact product design and human factors analyses. A first of its kind large-scale 3D hand anthropometric database was the result of this study with 398 unique datasets. This database was created at minimal cost and time to researchers to improve accessibility to data and impact the design of products for hands.

Parallel Assessment Tracks for Human-Centered Design (PATH): A Framework for Transitioning to a New Health Information Technology System

2021 ◽  
Vol 65 (1) ◽  
pp. 294-298
Author(s):  
Jason J. Saleem ◽  
Kyle Maddox ◽  
Jennifer Herout ◽  
Kurt Ruark
Keyword(s):  
Information Technology ◽  
Human Factors ◽  
Health Information Technology ◽  
Health Information ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Customer Relationship ◽  
Human Factors Engineering ◽  
Human Centered Design ◽  
Legacy System

This practice-oriented paper presents a human-centered design (HCD) framework that we developed to perform a comprehensive evaluation of a new health information technology (HIT) system under development, intended to replace a legacy system. The Department of Veterans Affairs (VA) Veteran Crisis Line (VCL) program provides a vital service in crisis intervention and suicide prevention. VCL staff rely on a Customer Relationship Management (CRM) legacy system, Medora. VCL intended to replace Medora with Microsoft Dynamics 365 (D365) CRM system. Due to wide-spread criticism of D365, the VA Human Factors Engineering (HFE) team engaged in a multi-study, mixed-method HCD evaluation to investigate the legacy system and intended replacement in terms of ability to support VCL staff needs. The HCD framework we developed to perform this evaluation may be adapted for other large-scale HIT transitions and may provide human factors practitioners with guidance to make evidence-based decisions to support (or abandon) such transitions.

scholarly journals Medical Informatics in Morocco: Casablanca Medical Informatics Laboratory

2007 ◽  
Vol 16 (01) ◽  
pp. 138-140
Author(s):  
S. Diouny ◽  
K. Balar ◽  
M. Bennani Othmani
Keyword(s):  
Data Processing ◽  
Medical Informatics ◽  
New Technologies ◽  
Research Unit ◽  
Processing Unit ◽  
Biomedical Data ◽  
Professional Activities ◽  
Research Activities ◽  
Medical Data Processing ◽  
International Projects

SummaryIn 2005, Medical Informatics Laboratory (CMIL) became an independent research unit within the Faculty of Medicine and Pharmacy of Casablanca. CMIL is currently run by three persons (a university professor, a data processing specialist and a pedagogical assistant). The objectives of CMIL are to promote research and develop quality in the field of biomedical data processing and health, and integrate new technologies into medical education and biostatistics. It has four units: Telehealth Unit, Network Unit, Biostatistics Unit, Medical data processing Unit.The present article seeks to give a comprehensive account of Casablanca Medical informatics laboratory (CMIL) activities. For ease of exposition, the article consists of four sections: Section I discusses the background of CMIL; section II is devoted to educational activities; section III addresses professional activities; and section IV lists projects that CMIL is involved in.Since its creation, CMIL has been involved in a number of national and international projects, which have a bearing on Telemedicine applications, E-learning skills and data management in medical studies in Morocco.It is our belief that the skills and knowledge gained in the past few years would certainly enrich our research activities, and improve the situation of research in Medical informatics in Morocco.

Human Factors and Ergonomics in Medical Informatics

2013 ◽  
pp. 463-486
Author(s):  
H. Chaudet ◽  
F. Anceaux ◽  
M. C. Beuscart ◽  
S. Pelayo ◽  
L. Pellegrin
Keyword(s):  
Human Factors ◽  
Medical Informatics ◽  
Human Factors And Ergonomics
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