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https://www.readbyqxmd.com/read/27864204/integrating-pharmacogenomics-into-electronic-health-records-with-clinical-decision-support
#1
J Kevin Hicks, Henry M Dunnenberger, Karl F Gumpper, Cyrine E Haidar, James M Hoffman
PURPOSE: Existing pharmacogenomic informatics models, key implementation steps, and emerging resources to facilitate the development of pharmacogenomic clinical decision support (CDS) are described. SUMMARY: Pharmacogenomics is an important component of precision medicine. Informatics, especially CDS in the electronic health record (EHR), is a critical tool for the integration of pharmacogenomics into routine patient care. Effective integration of pharmacogenomic CDS into the EHR can address implementation challenges, including the increasing volume of pharmacogenomic clinical knowledge, the enduring nature of pharmacogenomic test results, and the complexity of interpreting results...
December 1, 2016: American Journal of Health-system Pharmacy: AJHP
https://www.readbyqxmd.com/read/27833560/pharmacometabolomics-informs-viromics-toward-precision-medicine
#2
Angeliki Balasopoulou, George P Patrinos, Theodora Katsila
Nowadays, we are experiencing the big data era with the emerging challenge of single data interpretation. Although the advent of high-throughput technologies as well as chemo- and bio-informatics tools presents pan-omics data as the way forward to precision medicine, personalized health care and tailored-made therapeutics can be only envisaged when interindividual variability in response to/toxicity of xenobiotics can be interpreted and thus, predicted. We know that such variability is the net outcome of genetics (host and microbiota) and environmental factors (diet, lifestyle, polypharmacy, and microbiota) and for this, tremendous efforts have been made to clarify key-molecules from correlation to causality to clinical significance...
2016: Frontiers in Pharmacology
https://www.readbyqxmd.com/read/27807750/biobanks-and-their-clinical-application-and-informatics-challenges
#3
Lan Yang, Yalan Chen, Chunjiang Yu, Bairong Shen
Biobanks are one of the most important biomedical research resources and contribute to the development of biomarker detection, molecular diagnosis, translational medicine, and multidisciplinary disease research, as well as studies of interactions between genetic and environmental or lifestyle factors. Aiming for the wide clinical application of biobanks, biobanking efforts have recently switched from a focus on accumulating samples to both formalizing and sustaining collections in light of the rapid progress in the fields of personalized medicine and bioinformatics analysis...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27754281/hw-04-1-usefulness-of-big-data-in-clinical-research
#4
Rae Woong Park
Big data indicates the large and ever-increasing volumes of data adhere to the following 4Vs: volume (ever-increasing amount), velocity (quickly generated), variety (many different types), veracity (from trustable sources). The last decade has seen huge advances in the amount of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. The routine operation of modern health care systems also produces an abundance of electronically stored data on an ongoing basis as a byproduct of clinical practice...
September 2016: Journal of Hypertension
https://www.readbyqxmd.com/read/27643278/hw-04-1-usefulness-of-big-data-in-clinical-research
#5
Rae Woong Park
Big data indicates the large and ever-increasing volumes of data adhere to the following 4Vs: volume (ever-increasing amount), velocity (quickly generated), variety (many different types), veracity (from trustable sources). The last decade has seen huge advances in the amount of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. The routine operation of modern health care systems also produces an abundance of electronically stored data on an ongoing basis as a byproduct of clinical practice...
September 2016: Journal of Hypertension
https://www.readbyqxmd.com/read/27570680/expanding-interprofessional-ehr-data-in-i2b2
#6
Bonnie L Westra, Beverly Christie, Steven G Johnson, Lisiane Pruinelli, Anne LaFlamme, Jung In Park, Suzan G Sherman, Matthew D Byrne, Piper Ranallo, Stuart Speedie
Emerging issues of team-based care, precision medicine, and big data science underscore the need for health information technology (HIT) tools for integrating complex data in consistent ways to achieve the triple aims of improving patient outcomes, patient experience, and cost reductions. The purpose of this study was to demonstrate the feasibility of creating a hierarchical flowsheet ontology in i2b2 using data-derived information models and determine the underlying informatics and technical issues. This study is the first of its kind to use information models that aggregate team-based care across time, disciplines, and settings into 14 information models that were integrated into i2b2 in a hierarchical model...
2016: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/27550071/influential-journals-in-health-research-a-bibliometric-study
#7
José M Merigó, Alicia Núñez
BACKGROUND: There is a wide range of intellectual work written about health research, which has been shaped by the evolution of diseases. This study aims to identify the leading journals over the last 25 years (1990-2014) according to a wide range of bibliometric indicators. METHODS: The study develops a bibliometric overview of all the journals that are currently indexed in Web of Science (WoS) database in any of the four categories connected to health research...
2016: Globalization and Health
https://www.readbyqxmd.com/read/27420575/emerging-themes-in-image-informatics-and-molecular-analysis-for-digital-pathology
#8
Rohit Bhargava, Anant Madabhushi
Pathology is essential for research in disease and development, as well as for clinical decision making. For more than 100 years, pathology practice has involved analyzing images of stained, thin tissue sections by a trained human using an optical microscope. Technological advances are now driving major changes in this paradigm toward digital pathology (DP). The digital transformation of pathology goes beyond recording, archiving, and retrieving images, providing new computational tools to inform better decision making for precision medicine...
July 11, 2016: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/27239230/badapple-promiscuity-patterns-from-noisy-evidence
#9
Jeremy J Yang, Oleg Ursu, Christopher A Lipinski, Larry A Sklar, Tudor I Oprea, Cristian G Bologa
BACKGROUND: Bioassay data analysis continues to be an essential, routine, yet challenging task in modern drug discovery and chemical biology research. The challenge is to infer reliable knowledge from big and noisy data. Some aspects of this problem are general with solutions informed by existing and emerging data science best practices. Some aspects are domain specific, and rely on expertise in bioassay methodology and chemical biology. Testing compounds for biological activity requires complex and innovative methodology, producing results varying widely in accuracy, precision, and information content...
2016: Journal of Cheminformatics
https://www.readbyqxmd.com/read/27199196/consumer-health-informatics-past-present-and-future-of-a-rapidly-evolving-domain
#10
G Demiris
OBJECTIVES: Consumer Health Informatics (CHI) is a rapidly growing domain within the field of biomedical and health informatics. The objective of this paper is to reflect on the past twenty five years and showcase informatics concepts and applications that led to new models of care and patient empowerment, and to predict future trends and challenges for the next 25 years. METHODS: We discuss concepts and systems based on a review and analysis of published literature in the consumer health informatics domain in the last 25 years...
2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27198105/evolving-health-it-systems-evaluation-the-convergence-of-health-informatics-and-hta
#11
Persephone Doupi
The credibility and reliability of health IT systems as a means of achieving changes towards safer and cost-effective care have been questioned for over two decades due to the lack of methodologically strong evidence. As national level adoption and implementation of health IT are becoming widespread across the EU and globally, but are also being offset by adverse reports, the demands for evidence become more pronounced and the stakes higher. The adaptation of HTA (health technology assessment) methodology as a means to address gaps in health IT evidence production has been proposed repeatedly and tested in the field of telemedicine services...
2016: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/27107438/automated-identification-of-molecular-effects-of-drugs-aimed
#12
Safa Fathiamini, Amber M Johnson, Jia Zeng, Alejandro Araya, Vijaykumar Holla, Ann M Bailey, Beate C Litzenburger, Nora S Sanchez, Yekaterina Khotskaya, Hua Xu, Funda Meric-Bernstam, Elmer V Bernstam, Trevor Cohen
INTRODUCTION: Genomic profiling information is frequently available to oncologists, enabling targeted cancer therapy. Because clinically relevant information is rapidly emerging in the literature and elsewhere, there is a need for informatics technologies to support targeted therapies. To this end, we have developed a system for Automated Identification of Molecular Effects of Drugs, to help biomedical scientists curate this literature to facilitate decision support. OBJECTIVES: To create an automated system to identify assertions in the literature concerning drugs targeting genes with therapeutic implications and characterize the challenges inherent in automating this process in rapidly evolving domains...
July 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27018264/a-proposed-national-research-and-development-agenda-for-population-health-informatics-summary-recommendations-from-a-national-expert-workshop
#13
Hadi Kharrazi, Elyse C Lasser, William A Yasnoff, John Loonsk, Aneel Advani, Harold P Lehmann, David C Chin, Jonathan P Weiner
OBJECTIVE: The Johns Hopkins Center for Population Health IT hosted a 1-day symposium sponsored by the National Library of Medicine to help develop a national research and development (R&D) agenda for the emerging field of population health informatics (PopHI). MATERIAL AND METHODS: The symposium provided a venue for national experts to brainstorm, identify, discuss, and prioritize the top challenges and opportunities in the PopHI field, as well as R&D areas to address these...
March 27, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27006459/evolutionary-history-of-the-global-emergence-of-the-escherichia-coli-epidemic-clone-st131
#14
Nicole Stoesser, Anna E Sheppard, Louise Pankhurst, Nicola De Maio, Catrin E Moore, Robert Sebra, Paul Turner, Luke W Anson, Andrew Kasarskis, Elizabeth M Batty, Veronica Kos, Daniel J Wilson, Rattanaphone Phetsouvanh, David Wyllie, Evgeni Sokurenko, Amee R Manges, Timothy J Johnson, Lance B Price, Timothy E A Peto, James R Johnson, Xavier Didelot, A Sarah Walker, Derrick W Crook
UNLABELLED: Escherichia colisequence type 131 (ST131) has emerged globally as the most predominant extraintestinal pathogenic lineage within this clinically important species, and its association with fluoroquinolone and extended-spectrum cephalosporin resistance impacts significantly on treatment. The evolutionary histories of this lineage, and of important antimicrobial resistance elements within it, remain unclearly defined. This study of the largest worldwide collection (n= 215) of sequenced ST131E...
March 22, 2016: MBio
https://www.readbyqxmd.com/read/26955500/how-can-we-improve-science-technology-engineering-and-math-education-to-encourage-careers-in-biomedical-and-pathology-informatics
#15
Rahul Uppal, Gunasheil Mandava, Katrina M Romagnoli, Andrew J King, Amie J Draper, Adam L Handen, Arielle M Fisher, Michael J Becich, Joyeeta Dutta-Moscato
The Computer Science, Biology, and Biomedical Informatics (CoSBBI) program was initiated in 2011 to expose the critical role of informatics in biomedicine to talented high school students.[1] By involving them in Science, Technology, Engineering, and Math (STEM) training at the high school level and providing mentorship and research opportunities throughout the formative years of their education, CoSBBI creates a research infrastructure designed to develop young informaticians. Our central premise is that the trajectory necessary to be an expert in the emerging fields of biomedical informatics and pathology informatics requires accelerated learning at an early age...
2016: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/26849818/mobile-technology-for-the-practice-of-pathology
#16
Douglas J Hartman
Recently, several technological advances have been introduced to mobile phones leading some people to refer to them as "smartphones." These changes have led to widespread consumer adoption. A similar adoption has occurred within the medical field and this revolution is changing the practice of medicine, including pathology. Several mobile applications have been published for dermatology, orthopedics, ophthalmology, neurosurgery, and clinical pathology. The applications are wide ranging, including mobile technology to increase patient engagement, self-monitoring by patients, clinical algorithm calculation, facilitation between experts to resource-poor environments...
March 2016: Advances in Anatomic Pathology
https://www.readbyqxmd.com/read/26677178/systems-medicine-the-future-of-medical-genomics-healthcare-and-wellness
#17
REVIEW
Mansoor Saqi, Johann Pellet, Irina Roznovat, Alexander Mazein, Stéphane Ballereau, Bertrand De Meulder, Charles Auffray
Recent advances in genomics have led to the rapid and relatively inexpensive collection of patient molecular data including multiple types of omics data. The integration of these data with clinical measurements has the potential to impact on our understanding of the molecular basis of disease and on disease management. Systems medicine is an approach to understanding disease through an integration of large patient datasets. It offers the possibility for personalized strategies for healthcare through the development of a new taxonomy of disease...
2016: Methods in Molecular Biology
https://www.readbyqxmd.com/read/26578600/mouse-genome-database-2016
#18
Carol J Bult, Janan T Eppig, Judith A Blake, James A Kadin, Joel E Richardson
The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the primary community model organism database for the laboratory mouse and serves as the source for key biological reference data related to mouse genes, gene functions, phenotypes and disease models with a strong emphasis on the relationship of these data to human biology and disease. As the cost of genome-scale sequencing continues to decrease and new technologies for genome editing become widely adopted, the laboratory mouse is more important than ever as a model system for understanding the biological significance of human genetic variation and for advancing the basic research needed to support the emergence of genome-guided precision medicine...
January 4, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/26577504/improving-bridging-from-informatics-practice-to-theory
#19
C U Lehmann, A V Gundlapalli
BACKGROUND: In 1962, Methods of Information in Medicine ( MIM ) began to publish papers on the methodology and scientific fundamentals of organizing, representing, and analyzing data, information, and knowledge in biomedicine and health care. Considered a companion journal, Applied Clinical Informatics ( ACI ) was launched in 2009 with a mission to establish a platform that allows sharing of knowledge between clinical medicine and health IT specialists as well as to bridge gaps between visionary design and successful and pragmatic deployment of clinical information systems...
2015: Methods of Information in Medicine
https://www.readbyqxmd.com/read/26460989/technology-for-innovation-in-radiation-oncology
#20
Indrin J Chetty, Mary K Martel, David A Jaffray, Stanley H Benedict, Stephen M Hahn, Ross Berbeco, James Deye, Robert Jeraj, Brian Kavanagh, Sunil Krishnan, Nancy Lee, Daniel A Low, David Mankoff, Lawrence B Marks, Daniel Ollendorf, Harald Paganetti, Brian Ross, Ramon Alfredo C Siochi, Robert D Timmerman, John W Wong
Radiation therapy is an effective, personalized cancer treatment that has benefited from technological advances associated with the growing ability to identify and target tumors with accuracy and precision. Given that these advances have played a central role in the success of radiation therapy as a major component of comprehensive cancer care, the American Society for Radiation Oncology (ASTRO), the American Association of Physicists in Medicine (AAPM), and the National Cancer Institute (NCI) sponsored a workshop entitled "Technology for Innovation in Radiation Oncology," which took place at the National Institutes of Health (NIH) in Bethesda, Maryland, on June 13 and 14, 2013...
November 1, 2015: International Journal of Radiation Oncology, Biology, Physics
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