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Biomedical informatics

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https://www.readbyqxmd.com/read/28527497/informatics-and-technology-in-resident-education
#1
REVIEW
William Niehaus
Biomedical or clinical informatics is the transdisciplinary field that studies and develops effective uses of biomedical data, information technology innovations, and medical knowledge for scientific inquiry, problem solving, and decision making, with an emphasis on improving human health. Given the ongoing advances in information technology, the field of informatics is becoming important to clinical practice and to residency education. This article will discuss how informatics is specifically relevant to residency education and the different ways to incorporate informatics into residency education, and will highlight applications of current technology in the context of residency education...
May 2017: PM & R: the Journal of Injury, Function, and Rehabilitation
https://www.readbyqxmd.com/read/28495345/the-georges-pompidou-university-hospital-clinical-data-warehouse-a-8-years-follow-up-experience
#2
Anne-Sophie Jannot, Eric Zapletal, Paul Avillach, Marie-France Mamzer, Anita Burgun, Patrice Degoulet
BACKGROUND: When developed jointly with clinical information systems, clinical data warehouses (CDWs) facilitate the reuse of healthcare data and leverage clinical research. OBJECTIVE: To describe both data access and use for clinical research, epidemiology and health service research of the "Hôpital Européen Georges Pompidou" (HEGP) CDW. METHODS: The CDW has been developed since 2008 using an i2b2 platform. It was made available to health professionals and researchers in October 2010...
June 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28480479/historical-roots-of-international-biomedical-and-health-informatics-the-road-to-ifip-tc4-and-imia-through-cybernetic-medicine-and-the-elsinore-meetings
#3
C A Kulikowski
BACKGROUND: It is 50 years since the International Federation of Information Processing (IFIP) Societies approved the formation of a new Technical Committee (TC) 4 on Medical Information Processing under the leadership of Professor Francois Grémy, which was the direct precursor of the International Medical Informatics Association (IMIA). OBJECTIVES: The goals of this paper are to give a very brief overview of early international developments leading to informatics in medicine, with the origins of the applications of computers to medicine in the USA and Europe, and two meetings - of the International Society of Cybernetic Medicine, and the Elsinore Meetings on Hospital Information Systems - that took place in 1966...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28480478/imia-accreditation-of-biomedical-and-health-informatics-education-current-state-and-future-directions
#4
M W Jaspers, J Mantas, E Borycki, A Hasman
OBJECTIVES: The educational activities initiated by the International Medical Informatics Association (IMIA) have had global impacts and influenced national societies and local academic programs in the field of Biomedical and Health Informatics (BMHI). After the successful publication and dissemination of its educational recommendations, IMIA launched an accreditation procedure for educational programs in BMHI. The accreditation procedure was pilot tested by several BMHI academic programs in different countries and continents to obtain a global perspective...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28480473/the-imia-history-working-group-inception-through-the-imia-history-taskforce-and-major-events-leading-up-to-the-50th-anniversary-of-imia
#5
C A Kulikowski, G Mihalas, R A Greenes, V Yacubsohn, H-A Park
BACKGROUND: The 50th Anniversary of IMIA will be celebrated in 2017 at the World Congress of Medical Informatics in China. This takes place 50 years after the International Federation of Information Processing (IFIP) Societies approved the formation of a new Technical Committee (TC) 4 on Medical Information Processing, which was the predecessor of IMIA, under the leadership of Dr. Francois Grémy. The IMIA History Working Group (WG) was approved in 2014 to document and write about the history of the field and its organizations...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28480472/added-value-from-secondary-use-of-person-generated-health-data-in-consumer-health-informatics-contribution-of-the-consumer-health-informatics-imia-working-group
#6
P-Y Hsueh, Y-K Cheung, S Dey, K K Kim, F J Martin-Sanchez, S K Petersen, T Wetter
INTRODUCTION: Various health-related data, subsequently called Person Generated Health Data (PGHD), is being collected by patients or presumably healthy individuals as well as about them as much as they become available as measurable properties in their work, home, and other environments. Despite that such data was originally just collected and used for dedicated predefined purposes, more recently it is regarded as untapped resources that call for secondary use. METHOD: Since the secondary use of PGHD is still at its early evolving stage, we have chosen, in this paper, to produce an outline of best practices, as opposed to a systematic review...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28480470/on-contributing-to-the-progress-of-medical-informatics-as-publisher-congratulations-to-imia-honorary-fellow-dieter-bergemann-on-his-80th-birthday
#7
R Haux, A Geissbuhler, J Holmes, M-C Jaulent, S Koch, C A Kulikowski, C U Lehmann, A T McCray, B Séroussi, L F Soualmia, J H van Bemmel
May 1st, 2017, will mark Dieter Bergemann's 80th birthday. As Chief Executive Officer and Owner of Schattauer Publishers from 1983 to 2016, the biomedical and health informatics community owes him a great debt of gratitude. The past and present editors of Methods of Information in Medicine, the IMIA Yearbook of Medical Informatics, and Applied Clinical Informatics want to honour and thank Dieter Bergemann by providing a brief biography that emphasizes his contributions, by reviewing his critical role as an exceptionally supportive publisher for Schattauer's three biomedical and health informatics periodicals, and by sharing some personal anecdotes...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28400991/computer-science-biology-and-biomedical-informatics-academy-outcomes-from-5-years-of-immersing-high-school-students-into-informatics-research
#8
EDITORIAL
Andrew J King, Arielle M Fisher, Michael J Becich, David N Boone
The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM) pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28388645/combining-clinical-and-genomics-queries-using-i2b2-three-methods
#9
Shawn N Murphy, Paul Avillach, Riccardo Bellazzi, Lori Phillips, Matteo Gabetta, Alal Eran, Michael T McDuffie, Isaac S Kohane
We are fortunate to be living in an era of twin biomedical data surges: a burgeoning representation of human phenotypes in the medical records of our healthcare systems, and high-throughput sequencing making rapid technological advances. The difficulty representing genomic data and its annotations has almost by itself led to the recognition of a biomedical "Big Data" challenge, and the complexity of healthcare data only compounds the problem to the point that coherent representation of both systems on the same platform seems insuperably difficult...
2017: PloS One
https://www.readbyqxmd.com/read/28365740/effective-biomedical-document-classification-for-identifying-publications-relevant-to-the-mouse-gene-expression-database-gxd
#10
Xiangying Jiang, Martin Ringwald, Judith Blake, Hagit Shatkay
The Gene Expression Database (GXD) is a comprehensive online database within the Mouse Genome Informatics resource, aiming to provide available information about endogenous gene expression during mouse development. The information stems primarily from many thousands of biomedical publications that database curators must go through and read. Given the very large number of biomedical papers published each year, automatic document classification plays an important role in biomedical research. Specifically, an effective and efficient document classifier is needed for supporting the GXD annotation workflow...
January 1, 2017: Database: the Journal of Biological Databases and Curation
https://www.readbyqxmd.com/read/28361731/health-information-technology-as-a-universal-donor-to-bioethics-education
#11
Kenneth W Goodman
Health information technology, sometimes called biomedical informatics, is the use of computers and networks in the health professions. This technology has become widespread, from electronic health records to decision support tools to patient access through personal health records. These computational and information-based tools have engendered their own ethics literature and now present an opportunity to shape the standard medical and nursing ethics curricula. It is suggested that each of four core components in the professional education of clinicians-privacy, end-of-life care, access to healthcare and valid consent, and clinician-patient communication-offers an opportunity to leverage health information technology for curricular improvement...
April 2017: Cambridge Quarterly of Healthcare Ethics: CQ: the International Journal of Healthcare Ethics Committees
https://www.readbyqxmd.com/read/28338350/consensus-driven-development-of-a-terminology-for-biobanking-the-duke-experience
#12
Helena Ellis, Mary-Beth Joshi, Aenoch J Lynn, Anita Walden
Biobanking at Duke University has existed for decades and has grown over time in silos and based on specialized needs, as is true with most biomedical research centers. These silos developed informatics systems to support their own individual requirements, with no regard for semantic or syntactic interoperability. Duke undertook an initiative to implement an enterprise-wide biobanking information system to serve its many diverse biobanking entities. A significant part of this initiative was the development of a common terminology for use in the commercial software platform...
April 2017: Biopreservation and Biobanking
https://www.readbyqxmd.com/read/28272648/on-teaching-international-courses-on-health-information-systems-lessons-learned-during-16-years-of-frank-van-swieten-lectures-on-strategic-information-management-in-health-information-systems
#13
Elske Ammenwerth, Petra Knaup, Alfred Winter, Axel W Bauer, Oliver J Bott, Matthias Gietzelt, Birger Haarbrandt, Werner O Hackl, Nils Hellrung, Gudrun Hübner-Bloder, Franziska Jahn, Monique W Jaspers, Ulrike Kutscha, Christoph Machan, Bianca Oppermann, Jochen Pilz, Jonas Schwartze, Christoph Seidel, Jan-Eric Slot, Stefan Smers, Katharina Spitalewsky, Nathalie Steckel, Alexander Strübing, Minne van der Haak, Reinhold Haux, Willem J Ter Burg
BACKGROUND: Health information systems (HIS) are one of the most important areas for biomedical and health informatics. In order to professionally deal with HIS well-educated informaticians are needed. Because of these reasons, in 2001 an international course has been established: The Frank - van Swieten Lectures on Strategic Information Management of Health Information Systems. OBJECTIVES: Reporting about the Frank - van Swieten Lectures and about our students' feedback on this course during the last 16 years...
March 8, 2017: Methods of Information in Medicine
https://www.readbyqxmd.com/read/28269167/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#14
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268856/covariance-based-outlier-detection-with-feature-selection
#15
Chris E Zwilling, Michelle Y Wang
The present covariance based outlier detection algorithm selects from a candidate set of feature vectors that are best at identifying outliers. Features extracted from biomedical and health informatics data can be more informative in disease assessment and there are no restrictions on the nature and number of features that can be tested. But an important challenge for an algorithm operating on a set of features is for it to winnow the effective features from the ineffective ones. The powerful algorithm described in this paper leverages covariance information from the time series data to identify features with the highest sensitivity for outlier identification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28246526/biomedical-informatics-with-optimization-and-machine-learning
#16
EDITORIAL
Shuai Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen
No abstract text is available yet for this article.
December 2017: EURASIP Journal on Bioinformatics & Systems Biology
https://www.readbyqxmd.com/read/28227396/supervised-multimodal-fusion-and-its-application-in-searching-joint-neuromarkers-of-working-memory-deficits-in-schizophrenia
#17
Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah Mc Ewen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui, Shile Qi, Vince D Calhoun, Theo G M van Erp, Eswar Damaraju, Juan Bustillo, Yuhui Du, Jessica A Turner, Daniel H Mathalon, Judith M Ford, James Voyvodic, Bryon A Mueller, Aysenil Belger, Sarah McEwen, Steven G Potkin, Adrian Preda, F Birn, Tianzi Jiang, Jing Sui
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. Here we proposed a novel supervised fusion model, called "MCCAR+jICA", which enables both identification of multimodal co-alterations and linking the covarying brain regions with a specific reference signal, e.g., cognitive scores. The proposed method has been validated on both simulated and real human brain data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227054/covariance-based-outlier-detection-with-feature-selection
#18
Chris E Zwilling, Michelle Y Wang, Chris E Zwilling, Michelle Y Wang, Chris E Zwilling, Michelle Y Wang
The present covariance based outlier detection algorithm selects from a candidate set of feature vectors that are best at identifying outliers. Features extracted from biomedical and health informatics data can be more informative in disease assessment and there are no restrictions on the nature and number of features that can be tested. But an important challenge for an algorithm operating on a set of features is for it to winnow the effective features from the ineffective ones. The powerful algorithm described in this paper leverages covariance information from the time series data to identify features with the highest sensitivity for outlier identification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28169935/biomedical-informatics-approaches-to-identifying-drug-drug-interactions-application-to-insulin-secretagogues
#19
Xu Han, ChienWei Chiang, Charles E Leonard, Warren B Bilker, Colleen M Brensinger, Lang Li, Sean Hennessy
BACKGROUND: Drug-drug interactions with insulin secretagogues are associated with increased risk of serious hypoglycemia in patients with type 2 diabetes. We aimed to systematically screen for drugs that interact with the five most commonly used secretagogues-glipizide, glyburide, glimepiride, repaglinide, and nateglinide-to cause serious hypoglycemia. METHODS: We screened 400 drugs frequently coprescribed with the secretagogues as candidate interacting precipitants...
May 2017: Epidemiology
https://www.readbyqxmd.com/read/28130063/effects-of-control-interventions-on-clostridium-difficile-infection-in-england-an-observational-study
#20
Kate E Dingle, Xavier Didelot, T Phuong Quan, David W Eyre, Nicole Stoesser, Tanya Golubchik, Rosalind M Harding, Daniel J Wilson, David Griffiths, Alison Vaughan, John M Finney, David H Wyllie, Sarah J Oakley, Warren N Fawley, Jane Freeman, Kirsti Morris, Jessica Martin, Philip Howard, Sherwood Gorbach, Ellie J C Goldstein, Diane M Citron, Susan Hopkins, Russell Hope, Alan P Johnson, Mark H Wilcox, Timothy E A Peto, A Sarah Walker, Derrick W Crook
BACKGROUND: The control of Clostridium difficile infections is an international clinical challenge. The incidence of C difficile in England declined by roughly 80% after 2006, following the implementation of national control policies; we tested two hypotheses to investigate their role in this decline. First, if C difficile infection declines in England were driven by reductions in use of particular antibiotics, then incidence of C difficile infections caused by resistant isolates should decline faster than that caused by susceptible isolates across multiple genotypes...
April 2017: Lancet Infectious Diseases
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