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Medical Informatics

  • Microarray image analysis 2010, CRCnetBASE
  • "This book reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and their applications in combination with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. The use of high-throughput quantitative techniques makes an integrative experimental and computational approach necessary. This book will be a resource for researchers starting out with microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology, and the state-of-the-art in computational microRNA biology." --Publisher's description.
  • 1. Specification mining : a concise introduction / David Lo ... [et al.] -- 2. Mining finite-state automata with annotations / Leonardo Mariani ... [et al.] -- 3. Adapting grammar inference techniques to mine state machines / Neil Walkinshaw and Kirill Bogdanov -- 4. Mining API usage protocols from large methods traces / Michael Pradel and Thomas R. Gross -- 5. Static API specification mining : exploiting source code model checking / Mithun Acharya and Tao Xie -- 6. Static specification mining using automata-based abstractions / Eran Yahav ... [et al.] -- 7. DynaMine : finding usage patterns and their violations by mining software repositories / Benjamin Livshits and Thomas Zimmermann -- 8. Automatic inference and effective application of temporal specifications / Jinlin Yang and David Evans -- 9. Path-aware static program analyses for specification mining / Muralikrishna Ramanathan, Ananth Grama, and Suresh Jagannathan -- 10. Mining API usage specifications via searching source code from the Web / Suresh Thummalapenta, Tao Xie, and Madhuri R. Marri -- 11. Merlin : specification inference for explicit information flow problems / Benjamin Livshits ... [et al.] -- 12. Lightweight mining of object usage / Andrzej Wasylkowski and Andreas Zeller.
  • Modern genome annotation 2008, Springer
  • "The NCBI Handbook 2nd Edition is geared towards advanced users of NCBI resources to provide an understanding of how bioinformatics resources at NCBI work. It is not a step-by-step user manual but complements NCBI user guides, tutorials, help information, and other existing documentation. It is our intent that the handbook will reflect, to the extent possible, the current state of databases, resources, and tools at NCBI, with information updated periodically"--Resource home page.
  • NCBI short courses NCBI Bookshelf
  • Neuroinformatics 2007, Springer Protocols
    Managing knowledge in neuroscience / Chiquito J. Crasto and Gordon M. Shepherd -- Interoperability across neuroscience databases / Luis Marenco ... [et al.] -- Database architectures for neuroscience applications / Prakash Nadkarni and Luis Marenco -- XML for data representation and model specification in neuroscience / Sharon M. Crook and Fred W. Howell -- Creating neuroscience ontologies / Douglas M. Bowden, Mark Dubach, and Jack Park -- Model structure analysis in NEURON / Michael L. Hines, Tom M. Morse, and N.T. Carnevale -- Constructing realistic neural simulations with GENESIS / James M. Bower and David Beeman -- Simulator for neural networks and action potentials / Douglas A. Baxter and John H. Byrne -- Data mining through simulation / William W. Lytton and Mark Stewart -- Computational exploration of neuron and neural network models in neurobiology / Astrid A. Prinz -- Brain atlases and neuroanatomic imaging / Allan MacKenzie-Graham, Jyl Boline, and Arthur W. Toga -- Brain mapping with high-resolution fMRI technology / Nian Liu -- Brain spatial normalization / William Bug ... [et al.] -- Workflow-based approaches to neuroimaging analysis / Kate Fissell -- Databasing receptor distributions in the brain / Rolf Kötter ... [et al.] -- An informatics approach to systems neurogenetics / Glenn D. Rosen -- Computational models of dementia and neurological problems / Włodzisław Duch -- Integrating genetic, functional genomic, and bioinformatics data in a systems biology approach to complex diseases : application to Schizophrenia / F.A. Middleton ... [et al.] -- Alzforum / June Kinoshita and Timothy Clark.
  • New and emerging proteomic techniques 2006, Springer Protocols
    On-chip protein synthesis for making microarrays / Niroshan Ramachandran ... [et al.] -- RCA-enhanced protein detection arrays / Brian B. Haab and Paul M. Lizardi -- Antibody microarrays using resonance light-scattering particles for detection / Bernhard H. Geierstanger, Petri Saviranta, and Achim Brinker -- Chemical proteomics profiling of proteasome activity / Martijn Verdoes ... [et al.] -- Two-dimensional difference gel electrophoresis / Terence L. Wu -- Oligomeric states of proteins determined by size-exclusion chromatography coupled with light scattering, absorbance, and refractive index detectors / Ewa Folta-Stogniew -- Surface plasmon resonance imaging measurements of protein interactions with biopolymer microarrays / Terry T. Goodrich ... [et al.] --Surface plasmon resonance mass spectrometry for protein analysis / Dobrin Nedelkov and Randall W. Nelson -- High-throughput affinity mass spectrometry / Urban A. Kiernan ... [et al.] -- Isotope-coded affinity tags for protein quantification / Christopher M. Colangelo and Kenneth R. Williams -- Proteomic analysis by multidimensional protein identification technology / Laurence Florens and Michael P. Washburn -- Isolation of glycoproteins and identification of their N-linked glycosylation sites / Hui Zhang and Ruedi Aebersold -- N-Glycosylation analysis using the StrOligo algorithm / Martin Ethier, Daniel Foigeys, and Hélène Perreault -- MALDI-MS data analysis for disease biomarker discovery / Weichuan Yu ... [et al.] -- Using the global proteome machine for protein identification / Ronald C. Beavis.
  • Overview.History of DNA Sequencing Technologies /Lisa D. White --Clinical Molecular Diagnostic Techniques: A Brief Review /Megan L. Landsverk, Lee-Jun C. Wong --The Technologies and Bioinformatics.Methods of Gene Enrichment and Massively Parallel Sequencing Technologies /Hong Cui --Sequence Alignment, Analysis, and Bioinformatic Pipelines /Fuli Yu, Cristian Coarfa --Protein Structural Based Analysis for Interpretation of Missense Variants at the Genomics Era: Using MNGIE Disease as an Example /Victor Wei Zhang --Algorithms and Guidelines for Interpretation of DNA Variants /Jing Wang, Megan Landsverk --Application to Clinical Diagnosis.NGS-Based Clinical Diagnosis of Genetically Heterogeneous Disorders /C. A. Valencia, T. A. Sivakumaran, B. T. Tinkle --Molecular Diagnosis of Congenital Disorders of Glycosylation (CDG) /Melanie Jones, Madhuri Hegde --NGS Improves the Diagnosis of X-Linked Intellectual Disability (XLID) /Michael J. Friez, Monica J. Basehore --NGS Analysis of Heterogeneous Retinitis Pigmentosa /Rui Chen, Feng Wang --Next-Generation Sequencing Analyses of the Whole Mitochondrial Genome /Lee-Jun C. Wong --Application of Next-Generation Sequencing of Nuclear Genes for Mitochondrial Disorders /Valeria Vasta, Si Houn Hahn --Noninvasive Prenatal Diagnosis Using Next-Generation Sequencing /Nancy Bo Yin Tsui, Yuk Ming Dennis Lo --Compliance with CAP/CLIA Regulations.Guidelines and Approaches to Compliance with Regulatory and Clinical Standards: Quality Control Procedures and Quality Assurance /Ira M. Lubin, Lisa Kalman, Amy S. Gargis --Validation of NGS-Based DNA Testing and Implementation of Quality Control Procedures /Victor Wei Zhang, Lee-Jun C. Wong --Frequently Asked Questions About the Clinical Utility of Next-Generation Sequencing in Molecular Diagnosis of Human Genetic Diseases /Ephrem L. H. Chin, Victor Wei Zhang, Jing Wang, Margherita Milone, Susan Pacheco.
  • Classification and disease prediction via mathematical programming /Eva K. Lee and Tsung-Lin Wu --Using influence diagrams in cost-effectiveness analysis for medical decisions /Ram S. Duriseti --Non-Bayesian classification to obtain high quality clinical decisions /Ram S. Duriseti --Optimizing pediatric vaccine formularies /Shane N. Hall, Sheldon H. Jacobson, and Edward C. Sewell --Optimal spending on HIV prevention and treatment : a framework for evaluating cost-effectiveness with example application to the India AIDS initiative /Margaret L. Brandeau ... [et al.] --Optimization over graphs for kidney paired donation /Sommer E. Gentry --Introduction to radiation therapy planning optimization /Gino J. Lim --Beam orientation optimization methods in intensity modulated radiation therapy treatment planning /Dionne M. Aleman, H. Edwin Romeijn, and James F. Dempsey --Multileaf collimator shape matrix decomposition /Thomas Kalinowski --Optimal planning for radiation therapy /Mark Langer, Ronald Rardin, and Ali Tuncel --Introduction to systems biology for mathematical programmers /Eivind Almaas, Allen Holder, and Kevin Livingstone --Algorithms for genomics analysis /Eva K. Lee and Kapil Gupta --Computational methods for probe design and selection /Claudio N. Meneses, Panos M. Pardalos, and Michelle A. Ragle --Implementation of logical analysis of data for oligo probe selection /In-Yong Jang, Kwangsoo Kim, and Hong Seo Ryoo --New dihedral angle measure for protein secondary prediction /Moon K. Kim, Yunho Jang, and J. MacGregor Smith --Optimization of tumor virotherapy with recombinant measles viruses /Zeljko Bajzer ... [et al.] --Combating microbial resistance to antimicrobial agents through dosing regimen optimization /Michael Nikolaou and Vincent H. Tam.
  • PACS. 2nd ed. 2006, Springer
  • Integrating State-of-the-Art Computational Modeling with Clinical Practice: The Promise of Numerical Methods / David E. Krummen, Gainyu Oshodi and Sanjiv M. Narayan -- Patient-Specific Modeling of Cardiovascular Dynamics with a Major Role for Adaptation / Theo Arts, Joost Lumens, Wilco Kroon, Dirk Donker and Frits Prinzen, et al. -- Patient-Specific Modeling of Structure and Function of Cardiac Cells / Frank B. Sachse -- Studies of Therapeutic Strategies for Atrial Fibrillation Based on a Biophysical Model of the Human Atria / Laurent Uldry, Nathalie Virag, Jean-Marc Vesin and Lukas Kappenberger -- Patient-Specific Modeling for Critical Care / Maxwell Lewis Neal -- Biomechanical Analysis of Abdominal Aortic Aneurysms / Lambert Speelman, Mariëlle Bosboom, Geert W. H. Schurink and Frans N. v.d. Vosse -- The Cardiac Atlas Project: Towards a Map of the Heart / Michael Backhaus, Jae Do Chung, Brett R. Cowan, Carissa G. Fonseca and Wenchao Tao, et al. -- In Vivo Myocardial Material Properties and Stress Distributions in Normal and Failing Human Hearts / Jonathan F. Wenk, Zhihong Zhang, Guangming Cheng, Kay Sun and Joseph C. Walker, et al. -- Modeling of Whole-Heart Electrophysiology and Mechanics: Toward Patient-Specific Simulations / Fijoy Vadakkumpadan, Viatcheslav Gurev, Jason Constantino, Hermenegild Arevalo and Natalia Trayanova -- Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy / Maxime Sermesant and Reza Razavi -- Patient-Specific Modeling of Hypoxic Response and Microvasculature Dynamics / Joanna Nathan and Amina Ann Qutub -- A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling / Jazmin Aguado-Sierra, Roy C. P. Kerckhoffs, Fred Lionetti, Darlene Hunt and Chris Villongco, et al.
  • "Advances in the biomedical sciences, especially genomics, proteomics, and metabolomics, taken together with the expanding use of electronic health records, are radically changing the IT infrastructure and software applications needed to support the transfer of knowledge from bench to bedside. Pediatric Biomedical Informatics: Computer Applications in Pediatric Research describes the core resources in informatics necessary to support biomedical research programs and how these can best be integrated with hospital systems to receive clinical information that is necessary to conduct translational research. The focus is on the authors' recent practical experiences in establishing an informatics infrastructure in a large research-intensive children's hospital. This book is intended for translational researchers and informaticians in pediatrics, but can also serve as a guide to all institutions facing the challenges of developing and strengthening informatics support for biomedical research. The first section of the book discusses important technical challenges underlying computer-based pediatric research, while subsequent sections discuss informatics applications that support biobanking and a broad range of research programs. Pediatric Biomedical Informatics provides practical insights into the design, implementation, and utilization of informatics infrastructures to optimize care and research to benefit children. Dr. John Hutton is the Vice President and Director of Biomedical Informatics at Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. He is also Professor of Pediatrics and Associate Dean for Information Services at the University of Cincinnati College of Medicine"--Provided by publisher.
  • Pediatric informatics 2009, Springer
  • Inverted perspectives: triggering change / Tom Munnecke and Robert M. Kolodner -- A window of opportunity / Robert M. Kolodner -- HealthePeople: person-centered, outcomes-driven, virtual health systems / Gary A. Christopherson -- The value of electronic health records / Blackford Middleton -- Personal outcomes in health care / Thomas L. Garthwaite -- Human factors: changing systems, changing behaviors / Marion J. Ball and Judith V. Douglas -- Laying the foundations: information architecture for HealthePeople / James E. Demetriades -- Critical areas of standardization / Jeffrey S. Blair and Simon Cohn -- The role of terminology in future health information systems / Steven H. Brown, Michael J. Lincoln, and Peter L. Elkin --Modeling for health care / Kenneth S. Rubin, Thomas Beale, and Bernd Blobel -- HealthePeople security architecture / Bernd Blobel and John M. Davis -- Open source health systems / Dipak Katra and David Forslund -- Critical standards convergence / Steven Wagner and J. Michael Fitzmaurice -- A European perspective on the cultural and political context for deploying the electronic health record / Angelo Rossi Mori and Gerard Freriks -- Convergence toward the Pan-Canadian electronic health record / Julie Richards, Shari Dworkin, and Nancy Gill -- HealthConnect: a health information network for all Australians / David Rowlands -- The Veterans Health Administration: quality, value, accountability, and information as transforming strategies / Jonathan B. Perlin and Robert M. Kolodner.
  • Overview of healthcare, disease, and disability / Jeffrey Kaye, Tracy Zitzelberger -- Computer science tools and techniques / Martha E. Pollack, Bart Peintner -- Pervasive computing in hospitals / Jakob E. Bardram, Heribert Baldus, Jesus Favela -- Pervasive computing in the home and community / Donald J. Patterson, Henry A. Kautz, Dieter Fox, Lin Liao -- Mobile and personal health and wellness management systems / Elina Mattila, Ilkka Korhonen, Niilo Saranummi --Sensors and wearable technologies for pervasive healthcare / Sungmee Park, Sundaresan Jayaraman -- Assistive technologies / Edmund LoPresti -- Human factors and usability of healthcare systems / Andre Kushniruk, Elizabeth Borycki -- Routes and requirements for realizing pervasive medical devices / Michael P. Craven -- User evaluation in pervasive healthcare / Tim Adlam, Roger Orpwood, Teresa Dunn -- The business of pervasive healthcare / Dadong Wan, Luis E. Taveras.
  • Practical data mining 2012, CRCnetBASE
    What is data mining and what can it do? -- The data mining process -- Problem definition (Step 1) -- Data evaluation (Step 2) -- Feature extraction and enhancement (Step 3) -- Prototyping plan and model development (Step 4) -- Model evaluation (Step 5) -- Implementation (Step 6) -- Supervised learning Genre section 1 - Detecting and characterizing known patterns -- Forensic analysis Genre Section 2 -Detecting, characterizing, and exploiting hidden patterns -- Genre Section 3 - Knowledge : Its acquisition, representation, and use.
  • Ways we see, learn, and practice medicine today : paradigms of what we are doing -- How physicians and other health professionals really (or should) think -- Reasoning in step-by-step clinical work and care : risk, diagnosis, treatment, prognosis -- Clinical and community medicine decision making -- How physicians communicate with themselves, their patients, and others : clinical communication and its vehicles -- Conclusions (with a short recapitulation) : welcome to the world of reasoned and evidence-based medicine.
  • The health information revolution -- Why interoperability is hard -- Models -- UML and XML -- Standards development organizations -- HL7 version 2 -- The HL7 V3 RIM -- Constrained information models -- Clinical document architecture -- HL7 dynamic model and IHE XDS -- Clinical terminology -- SNOMED CT -- Using SNOMED and HL7 together.
  • Part 1.Principles of Health Interoperability --The Health Information Revolution --Why Interoperability is Hard --Models --UML and XML --Privacy --Standards Development Organizations --Part 2.HL7 and Interchange Formats --HL7 Version 2 --The HL7 V3 RIM --Constrained Information Models --Clinical Document Architecture --HL7 Dynamic Model --IHE XDS --Part 3.SNOMED and Terminology --Clinical Terminology --Coding and Classification Schemes --SNOMED CT --SNOMED CT Concept Model --Using SNOMED and HL7 Together.
  • A leisurely look at statistical inference / Dirk Husmeier -- Introduction to learning Bayesian networks from data / Dir Husmeier -- A casual view of multi-layer perceptrons as probability models / Richard Dybowski -- Introduction to statistical phylogenetics / Dirk Husmeier -- Detecting recombination in DNA sequence alignments / Dirk Husmeier, Frank Wright -- RNA-based phylogenetic methods / Magnus Rattray, Paul G. Higgs -- Statistical methods in microarray gene expression data analysis / Claus-Dieter Mayer, Chris A. Glasbey -- Inferring genetic regulatory networks from microarray experiments with Bayesian networks / Dirk Husmeier -- Modeling genetic regulatory networks using gene expression profiling and state-space models / Claudia Rangel ... [et al.] --An anthology of probabilistic models for medical informatics / Richard Dybowski, Stephen Roberts -- Bayesian analysis of population pharmacokinetic/pharmacodynamic models / David J. Lunn -- Assessing the effectiveness of Bayesian feature selection / Ian T. Nabney ... [et al.] -- Bayes consistent classification of EEG data by approximate marginalization / Peter Sykacek, Iead Rezek, and Stephen Roberts -- Ensemble hidden Markov models with extended observation densities for biosignal analysis / Iead Rezek, Stephen Roberts -- A probabilistic network for fusion of data and knowledge in clinical microbiology / Steen Andreassen ... [et al.] -- Software for probability models in medical informatics / Richard Dybowski.
  • Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
  • Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the clinical research process. Much of this information, however, is never shared. Retention of clinical research data by investigators and within organizations may represent lost opportunities in biomedical research. Despite the potential benefits that could be accrued from pooling and analysis of shared data, barriers to data sharing faced by researchers in industry include concerns about data mining, erroneous secondary analyses of data, and unwarranted litigation, as well as a desire to protect confidential commercial information. Academic partners face significant cultural barriers to sharing data and participating in longer term collaborative efforts that stem from a desire to protect intellectual autonomy and a career advancement system built on priority of publication and citation requirements. Some barriers, like the need to protect patient privacy, present challenges for both sectors. Looking ahead, there are also a number of technical challenges to be faced in analyzing potentially large and heterogeneous datasets. This public workshop focused on strategies to facilitate sharing of clinical research data in order to advance scientific knowledge and public health. While the workshop focused on sharing of data from preplanned interventional studies of human subjects, models and projects involving sharing of other clinical data types were considered to the extent that they provided lessons learned and best practices. The workshop objectives were to examine the benefits of sharing of clinical research data from all sectors and among these sectors, including, for example: benefits to the research and development enterprise and benefits to the analysis of safety and efficacy. Sharing Clinical Research Data: Workshop Summary identifies barriers and challenges to sharing clinical research data, explores strategies to address these barriers and challenges, including identifying priority actions and "low-hanging fruit" opportunities, and discusses strategies for using these potentially large datasets to facilitate scientific and public health advances.
  • Designs and strategies for genomic mapping and haplotyping -- Genetic haplotyping in natural populations -- Genetic haplotyping in experimental crosses -- A general genetic model for genetic haplotyping -- Basic principle of functional mapping -- Functional mapping of pharmacokinetics and pharmacodynamics -- Haplotyping drug response with a pharmacokinetics-pharmacodynamics link model -- Functional mapping of biological clocks -- Genetic mapping of allometric scaling -- Functional mapping of drug response with allometric scaling -- Joint functional mapping of drug efficacy and toxicity -- Modeling epistatic interactions in drug response -- Mapping genotype-environment interactions in drug response -- Nonparametric functional mapping of drug response -- Semiparametric functional mapping of drug response.
  • Pt. 1. System : tele-healthcare monitoring networks -- pt. 2. Hardware : medical sensors and devices -- pt. 3. Software : medical signal processing -- pt. 4. Others : medical security and privacy.
  • Telerehabilitation 2013, Springer
    Telerehabilitation, as a subset of telehealth, is the use of telecommunications to deliver rehabilitation services at a distance and can bridge the gaps created by personnel shortages that exist in underserved and remote areas, as well as serve persons in urban settings who cannot easily leave their homes or offices to seek care. Given the mobile nature of our society, telerehabilitation can enable continuity of care while persons travel for work, vacation and/or education. While the technical capacities to conduct telerehabilitation have surged ahead in the past 10 years, there has been slower, yet ongoing progress in the development of the policies (e.g., legislation; state licensure; reimbursement) that will be required to actualize widespread telepractice service delivery. Telerehabilitation presents a wide-angle view of telerehabilitation worldwide at a seminal time in its development. The book contains contributions from authors across multiple disciplines, as well as a consumer-based perspective. This book contributes significantly to the current understanding of telerehabilitation, as well as elucidating the immense potential for telerehabilitation-based service delivery to benefit persons with disabilities.
  • Introduction /Peter L. Elkin and Mark Samuel Tuttle --History of Terminology and Terminological Logics /Peter L. Elkin and Mark Samuel Tuttle --Knowledge Representation and the Logical Basis of Ontology /Peter L. Elkin and Steven H. Brown --Theoretical Foundations of Terminology /Peter L. Elkin --Compositionality: An Implementation Guide /Peter L. Elkin and Steven H. Brown --Interface Terminologies /S. Trent Rosenbloom --Springer Terminology Related Standards Development /Peter L. Elkin --Implementations of Terminology /Peter L. Elkin, Mark Samuel Tuttle, Marjorie Rallins, Jennifer Trajkovski and Elizabeth Lumakovska, et al. --Terminological Systems /Peter L. Elkin and Mark Samuel Tuttle --Conclusion /Peter L. Elkin and Mark Samuel Tuttle.
  • Back breaking work: implementing a spine registry in an orthopedic clinic / Brian C. Crolet -- A RHIO struggling to form: will it get off the ground? / Paul Zlotnik, Denny Lee, Mike Minear, and Prashila Dullabh -- A rough ride at the Theodore Roosevelt Cancer Center / Karen Albert, Nitika Gupta, Teresa Mason, Purvi Mehta -- Implementation of an electronic prescription writer in ambulatory care / Minhui Xie and Keven B. Johnson -- Online health care: a classic clash of technology, people and processes / John Butler, Dan Dalan, Brian McCourt, John Norris, and Randall Stewart -- A dungeon of dangerous practices / Andrew Amata, Allen Flynn, Michelle Morgan, Teresa Smith, and Mary Tengdin -- Different sides of the story / Allison B. McCoy -- Barcode medication administration implementation in the FIAT Health System / Linda Chan, William Greeley, Don Klingen, Brian Machado, Michael Padula, John Sum, and Angela Vacca -- H.I.T. or Miss / James McCormack, Bimal R. Desai, Jennifer Garvin, Randal Hamric, Kirk Lalwani, Andi Lushag, Alexey Panchenko, Deborah Quitmeyer, and JoAnna M. Vanderhoef -- The implementation of secure messaging / Zhou Yan -- Who moved my clinic? Donnelly University Pediatric Rehabilitation : the wheelchair clinic / Fredrick Hilliard -- OncoOrders: The early years / Chris Raggio and Judith W. Dexheimer -- Implementing a computerized triage system in the emergency department / Scott R. Levin, Daniel J. France, and Dominik Aronsky -- Medication barcode scanning: Code "Moo": dead COW / Laurie L. Novak and Kathy S. Moss -- Project NEED: new efficiency in an emergency department / Barry Little, Denise Johnson, Jennifer Tingle, Mary Stanfill, and Michael Roy. -- Digital radiology divide at McKinly / Neal Goldstein, David Ross, Ken Christensen, Jayashree Kalpathy-Cramer, Aseem Kumar, and Marilyn Schroeder.
  • Translational bioinformatics v. 1-, 2012-, Springer
  • Recent research in health decision making has shown that many patients, even those with a college education, have difficulties grasping a host of numerical concepts, including percentages and probabilities. Yet, basic numeracy and graph literacy are essential for understanding information relevant to making decisions about health, such as the incidence and prevalence of different diseases, risk reductions from medical screenings and treatments, and risk increases from side effects of treatments and unhealthy behaviors. Patients who have problems understanding such numerical concepts are often prone to errors in risk perception and medical choices. Importantly, informed medical decision making, heavily reinforced these days by the legal requirement for informed consent, depends critically on communication of quantitative medical information. Meeting the challenge of effectively communicating medical information to patients with different levels of numeracy and graph literacy has become more important than ever. Transparent Communication of Health Risks describes a series of cross-cultural studies investigating how people in countries with different medical and educational systems understand numerical and graphical information, what they know about existing medical treatments and screenings, which presentation formats help them better understand the relevant information, and how they use the data to make medical decisions. Focusing on the careful measurement of necessary knowledge and skills, the book also includes validated numeracy and graph literacy scales in English, Spanish, and German. Some of the topics covered in the book are:numeracy and graph literacy for health;measuring risk comprehension in educated samples;communicating information about medical treatment and screening;reducing the effect of framed messages about health;the effect of individual differences on shared decision making; andtransparent health information in the media.Transparent Communication of Health Risks emphasizes the importance and value of working toward the development of tailored risk communication interventions and clarifies the tasks ahead for health psychologists, public health professionals, pharmaceutical and medical education companies, medical physicists, and nurses.

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[print] 2014

New Book

Authored by
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and
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