Books by Subject
- Lean thinking for healthcare 2014SpringerA growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery. An unexpected source of solutions is being imported from the manufacturing sector: lean thinking. "Lean Principles for Healthcare" presents a conceptual framework, management principles, and practical tools for professionals tasked with designing and implementing modern, streamlined healthcare systems or overhauling faulty ones. Focusing on core components such as knowledge management, e-health, patient-centeredness, and collaborative care, chapters illustrate lean concepts in action across specialties (as diverse as nursing, urology, and emergency care) and around the globe. Extended case examples show health systems responding to consumer needs and provider realities with equal efficiency and effectiveness, and improved quality and patient outcomes. Further, contributors tackle the gamut of technological, medical, cultural, and business issues.
- Learning Basic Genetics with Interactive Computer Programs is a comprehensive and interactive learning program that focuses on chromosome simulation and model building. It is intended to assist students in learning more about genetics with ease. The 11 modules of this program form an integrated system for learning the basic concepts of genetics. The program innovation lies in its unique content design that incorporates cognitive feedback and experiential learning through the novel use of interactive applications. Each of the modules is designed to enhance learning by simultaneously employing "eyes-on," "minds-on," and "hands-on" activities. Topics are motivated by questions, information is presented in simple terms, and concepts are clarified by interactive prompts. Used as a supplement to traditional lectures and textbook assignments, the program not only serves as a foundation upon which to build more complex and detailed topics, but as a tutor to clarify and guide when there is confusion. The software that accompanies this book has been shown to be an ideal tool for learning about genetics, which requires a combination of understanding, conceptualization, and practical experience.
- Machine learning in medicine. Part 1-3 v. 1-3, 2013Springerpt. 2, 2013 Springerpt. 3, 2013 Springer
- Making computerized provider order entry work 2013SpringerMaking Computerized Provider Order Entry Work is neither a scientific reference guide into medical informatics nor a book on theory or a summary of research studies in the field, but rather it is a practical guide to visioning and executing successful automation of physician workflow in the hospital environment. This adaptation of workflow is the work of a team, with leadership, clear vision, dedication, commitment, external drivers, experience, and the tireless work of those before us in this industry, who have paved the way with both successes and failure.Throughout the book, the author shares hard lessons-learned and guides the reader through the early warning signs that will help avoid the pitfalls. As systems progress, and the regulatory environments change, there will be new challenges and opportunities that will confront those setting up automated physician workflows. However, this book highlights and discusses all of the principles involved such as vision, leadership, project management and change management, which will always need to be incorporated to ensure project success. As such this book will be an important reference for anyone involved in the setting up or use of such systems from the physicians and medical professionals themselves through the medical informaticist to health system executives and other decision makers.
- Medical applications of artificial intelligence 2014CRCnetBASE"Artificial Intelligence techniques have been successfully applied to the medical domain, and AI systems are being integrated into healthcare. AI systems can make providing healthcare more accurate, less expensive, more available, and more efficient. They are consistent and can be mass produced. This book includes a number of contributed chapters that detail the most recent advances and research efforts by world-wide experts in the field. The chapters follow the organization of the taxonomy; and offer a clear connection between chapters"--Provided by publisher.
- Medical biometrics first international conference, ICMB 2008, Hong Kong, China, January 4-5, 2008 : proceedings 2007Springer
- Medical imaging and informatics second international conference, MIMI 2007, Beijing, China, August 14-16, 2007 : revised selected papers 2008Springer
- Knowledge management, data mining, and text mining in medical informatics -- Mapping medical informatics research -- Bioinformatics challenges and opportunities -- Managing information security and privacy in health care data mining: state of the art -- Ethical and social challenges of electronic health information -- Medical concept representation -- Characterizing biomedical concept relationships: concept relationships as a pathway for knowledge creation and discovery -- Biomedical ontologies -- Information retrieval and digital libraries -- Modeling text retrieval in biomedicine -- Public access to anatomic images -- 3D medical informatics: information science in multiple dimensions -- Infectious disease informatics and outbreak detection -- Semantic interpretation for the biomedical research literature -- Semantic text parsing for patient records -- Identification of biological relationships from text documents -- Creating, modeling and visualizing metabolic networks: FCModeler and PathBinder for network modeling and creation -- Gene pathway text mining and visualization -- The genomic data mine -- Exploratory genomic data analysis -- Joint learning using multiple types of data and knowledge.
- Over the years, medical informatics has matured into a true scientific discipline. Fundamental and applied aspects are now taught in various fields of health, including medicine, dentistry, pharmacy, nursing and public health. Medical informatics is also often included in the curricula of many other disciplines, including the life sciences, engineering and economics. Medical informatics is a complex and rapidly changing discipline. Relatively few books have been published on the subject, and they rapidly become obsolete. This book is the fruit of a collaborative effort between authors teaching medical informatics in France and others who are conducting research in this field. In addition, an international perspective was pursued, as reflected in the inclusion of various developments and actions in both the USA and Europe. This book is divided into 18 chapters, all of which include learning objectives, recommendations for further reading, exercises and bibliographic references.
- The Medical Interview by Drs. Steven A. Cole and Julian Bird equips you to communicate effectively with your patients so you can provide optimal care! This best-selling, widely adopted resource presents a practical, systematic approach to honing your basic interviewing skills and managing common challenging communicating situations. Its Three-Function Approach - "Build the Relationship," "Assess and Understand," and Collaborative Management" offers straightforward tasks, behaviors, and skills that can be easily mastered, making this an ideal learning tool for beginners and a valuable reference for experienced healthcare professionals. Effectively meet a full range of communication challenges including language and cultural barriers, sexual issues, elderly patients, breaking bad news, and non-adherence.
- Past, Present and Future Policy Landscape for Technology in Public Mental Health Care -- Electronic Health Records Technology: Policy and Realities -- Leading Health IT Optimization: A Next Frontier -- Computer aided Psychotherapy Technologies -- Cognitive Assessment and Enhancement Technologies -- Digital platform and technology innovation in treatment of substance use disorders -- Technology and Adolescent Behavioral Health Care -- An Overview of Practicing High Quality Telepsychiatry -- Virtual Reality Technologies -- Social Media Technologies -- Technology Tools supportive of DSM-V: An Overview -- Summary and Look Forward.
- Metadata-driven software systems in biomedicine designing systems that can adapt to changing knowledge 2011SpringerWhat Is Metadata? -- Data Types in the Medical Record -- Metadata and the Use of XML -- Representing Structured Clinical Data -- Building the User Interface for Structured Clinical Data Capture -- Medical Decision Support Systems: General Considerations -- Challenges in Electronic Decision Support Implementation -- Infrastructure for Complex Clinical Decision Support: Rule Engines -- Decision Support Infrastructure: Workflows and Service-Oriented Architectures -- Complex Decision Support in Practice -- Extending the Entity-Attribute-Value Model -- Descriptive Metadata: An Introduction to Terminologies -- Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies -- Clinical Study Data Management Systems -- Data Retrieval for Heterogeneous Data Models -- Metadata for Data Warehousing -- Biomedical Metadata Standards.
- Methods in biomedical informatics a pragmatic approach 2014ScienceDirectSeeking to cross the bridge among overview, theory, and practice, this book incorporates both methodological approaches and their potential application in the domains associated with biomedical informatics.The multi-contributor book is useful for (1) those coming from a domain seeking biomedical informatics approaches for addressing specific needs; and, (2) current biomedical informaticians seeking a foundational background for methods that might be utilized in practical scenarios germane to their ongoing research.A unique characteristic of the text is its balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contributors represent leading experts from the biomedical informatics field: individuals who have demonstrated effective use of methodology in real-world, high-quality data applications. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.
- Methods of clinical epidemiology 2013Springer"Methods of Clinical Epidemiology" serves as a text on methods useful to clinical researchers. It provides a clear introduction to the common research methodology specific to clinical research for both students and researchers. This book sets out to fill the gap left by texts that concentrate on public health epidemiology and focuses on what is not covered well in such texts. The four sections cover methods that have not previously been brought together in one text and serves as a second level textbook of clinical epidemiology methodology. This book will be of use to postgraduate students in clinical epidemiology as well as clinical researchers at the start of their careers.
- Microarray image analysis an algorithmic approach 2010CRCnetBASE
- "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 clinical trial analysis 2013SpringerThis volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing. As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included. The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.
- Modern genome annotation the biosapiens network 2008Springer
- NCBI handbook. 2nd edition [2nd ed.] 2013-NCBI Bookshelf"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 coursesNCBI Bookshelf
- Neuroinformatics 2007Springer ProtocolsManaging 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 2006Springer ProtocolsOn-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.
- Ontologies, a handbook of principles, concepts and applications in information systems. 1st ed. 2006MyiLibrary
- Optimization in medicine and biology 2008CRCnetBASEClassification 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 a guide to the digital revolution. 2nd ed. 2006Springer
- Patient specific modeling of the cardiovascular system technology-driven personalized medicine 2010SpringerIntegrating 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.
- 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.
- Perspectives of knowledge management in urban health 2010SpringerKM and urban health. Knowledge management for the urban health context / M. Chris Gibbons, Rajeev K. Bali, and Nilmini Wickramasinghe -- Healthcare knowledge management : incorporating the tools technologies strategies and process of KM to effect superior healthcare delivery / Nilmini Wickramasinghe -- Knowledge Management in the urban health context : moving towards tacit-to-tacit knowledge transfer / Rajeev K. Bali, Vikram Baskaran, and Raouf N.G. Naguib -- Incorporating KM principles into urban health contexts. A childhood/adolescent knowledge management system for urban area health programs in the District of Columbia / Michael L. Popovich and Xiaohui Zhang -- Urban health in developing countries / Siddharth Agarwal, Aradhana Srivastava, and Sanjeev Kumar -- A pervasive wireless knowledge management solution to address urban health inequalities with indigenous Australians / Nilmini Wickramasinghe, Indrit Troshani, and Steve Goldberg -- The development of a framework to evaluate the management of HIV/AIDS programmes in rural and urban South Africa / Rochelle Sassman ... [et al.] -- The potential of serious games for improving health and reducing urban health inequalities / M. Chris Gibbons -- Measures and metrics for KM and urban health. A scalable and viable strategy for managing organization : typology of intervening into complex healthcare environment for enhancing its continual development / Murako Saito -- Amplifying resonance in organizational learning process : knowledge sharing for overcoming cognitive barriers and for assuring positive action / Murako Saito -- Developing new urban health metrics to reduce the know-do gap in public health / Carlos Castillo-Salgado and Michael Christopher Gibbons -- Recommendations on evaluation and development of useful metrics for urban health / Carlos Castillo-Salgado and M. Chris Gibbons -- Making sense of urban health knowledge / Rajeev K. Bali ... [et al.].
- Pervasive computing in healthcare 2007CRCnetBASEOverview 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.
- Pervasive health knowledge management 2013SpringerBetween rising costs and decreasing accessibility, the present health care picture is fraught with shortcomings--a discouraging scenario for the millions of patients struggling with chronic diseases such as diabetes and hypertension. In response, computer technology is emerging as a key factor in the transition from inefficient centralized health systems toward patient-centered, patient-involved care: pervasive healthcare. In straightforward fashion, Pervasive Health Knowledge Management systematically explains how mobile technologies and knowledge management (KM) can streamline health systems by removing time and place limitations, reducing costs, and giving patients a more proactive part in managing their conditions. The book defines the role of KM in pervasive healthcare and analyzes its component processes and technologies. Chapters examine how and why KM works, review KM initiatives within and outside the U.S., and offer extended coverage of possibilities for ubiquitous computing in managing diabetes. Together, they outline a future that meets mounting chronic health concerns with efficient, cost-effective, patient-empowering strategies. Highlights of the coverage: Implicit and explicit knowledge assets in healthcare.Using pervasive technologies to manage knowledge in crisis situations.Smart phone application design and knowledge management for people with dementia.A pervasive technology solution for supporting diabetes self-care.Examining the business and IT aspects of wireless enabled healthcare solutions.Developing an internet-based chronic disease self-management system. Healthcare administrators and researchers in healthcare management, health policy, and health services research will find detailed in Pervasive Health Knowledge Management a visionary approach to many of the most pressing problems in their fields.
- Practical data mining 2012CRCnetBASEWhat 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.
- Practical guide to clinical data management. 2nd ed. 2007CRCnetBASE
- Practical informatics for cytopathology 2014SpringerIntroduction to informatics / Liron Pantanowitz -- Basic computing / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Networking / Muhammad A. Syed, Anil V. Parwani, and Liron Pantanowitz -- Databases / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Coding / Seung L. Park, Jacqueline Cuda, and Liron Pantanowitz -- Laboratory information systems / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Laboratory information system operations and regulations / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Reporting / Liron Pantanowitz -- Quality management / Liron Pantanowitz, Luke T. Wiehagen, and R. Marshall Austin -- Barcoding / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Informatics projects / Liron Pantanowitz -- Lean Six Sigman / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Electronic medical records / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Digital imaging / Milon Amin, Anil V. Parwani, and Liron Pantanowitz -- Automated pap tests / Liron Pantanowitz -- Telecytology / Sara E. Monaco and Liron Pantanowitz -- Cytology online / Walid E. Khalbuss -- Bioinformatics / Somak Roy, Liron Pantanowitz, and Anil V. Parwani -- Research informatics / Somak Roy, Liron Pantanowitz, Anil V. Parwani.
- Practical pathology informatics demystifying informatics for the practicing anatomic pathologist 2006Springer
- Primer on clinical experience in medicine reasoning, decision making, and communication in health sciences 2013CRCnetBASEWays 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.
- Principles of biomedical informatics. Second edition. [2nd ed.] 2014ScienceDirectThis second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.
- Principles of electronic prescribing. 2nd ed. 2012SpringerPhilosophical and Social Framework of Electronic Medicines Management -- History and Context of Electronic Prescribing in the US and UK -- Organization Benefits of Electronic Prescribing -- EP Systems as a Risk Management Tool -- Data Support for Electronic Medicines Management -- Electronic Medicines Management: Support for Professional Practice -- Electronic Medicines Management and Non-medical Prescribing -- Electronic Prescribing and Future Priorities.
- 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.
- Progamming ArcObjects with VBA a task-oriented approach 2005CRCnetBASE
- Programming collective intelligence building smart Web 2.0 applications 2007ProQuest Safari
- Project management for healthcare informatics 2007Springer
- Proteomics and protein-protein interactions biology, chemistry, bionformatics, and drug design 2005Springer
- Part I. Context for Public Health Informatics -- 1. Introduction to Public Health Informatics / J.A. Magnuson and Patrick W. O'Carroll -- 2. History and Significance of Information Systems and Public Health / John R. Lumpkin and J.A. Magnuson -- 3. Context and Value of Biomedical and Health Informatics / William R. Hersh -- 4. Governmental and Legislative Context of Informatics / Margo Edmunds -- Part II. The Science of Public Health Informatics -- 5. Public Health Informatics Infrastructure / Brian E. Dixon and Shaun J. Grannis -- 6. Information Architecture / Dina Dickerson and Patricia Yao -- 7. Data Sources and Data Tools / Edward Mensah and Johanna L. Goderre -- 8. Public Health Information Standards / J.A. Magnuson, Riki Merrick, and James T. Case -- 9. Privacy, Confidentiality, and Security of Public Health Information / William A. Yasnoff -- 10. Electronic Health Records / Stephen P. Julien -- 11. Ethics, Information Technology, and Public Health: Duties and Challenges in Computational Epidemiology / Kenneth W. Goodman and Eric M. Meslin -- 12. Project Management and Public Health Informatics / James Aspevig -- 13. Evaluation for Public Health Informatics / Paul C. Fu, Jr., Herman Tolentino, and Laura H. Franzke -- Part III. Key Public Health Information Systems -- 14. Informatics in Disease Prevention and Epidemiology / Richard S. Hopkins and J.A. Magnuson -- 15. Informatics in Toxicology and Environmental Public Health / Edwin M. Kilbourne -- 16. Public Health Laboratories / Riki Merrick, Steven H. Hinrichs, and Michelle Meigs -- 17. The National Vital Statistics System / Charles J. Rothwell, Mary Anne Freedman, and James A. Weed -- 18. Risk Factor Information Systems / Alan Tomines -- 19. Setting national Policies and Standards for Immunization Information Systems / Nedra Y. Garrett -- Part IV. New Challenges and Emerging Solutions -- 20. New Means of Data Collection and Accessibility / I. Charie Faught, James Aspevig, and Rita Spear -- 21. Geographic Information Systems / Carol L. Hanchette -- 22. Public Health Informatics and Health Information Exchange / J.A. Magnuson and Paul C. Fu, Jr. -- 23. Decision Support and Expert Systems in Public Health / William A. Yasnoff and Perry L. Miller -- 24. Delivery of Preventive Medicine in Primary Care / Paul C. Fu, Jr., Alan Tomines, and Larry L. Dickey -- 25. Case-Based Learning in Public Health Informatics / Herman Tolentino, Sridhar R. Papagari Sangareddy, Catherine Pepper, and J.A. Magnuson -- Part V. Case Studies: Information Systems and the Strata of Public Health -- 26. Local and Regional Public Health Informatics / Jeffrey M. Kriseman and Brian J. Labus -- 27. Public Health Informatics in High Population States: New York and Ohio / Geraldine S. Johnson, Guthrie S. Birkhead, Rachel Block, Shannon Kelley, James Coates, Bob Campbell, and Brian Fowler -- 28. State Public Health Informatics: Perspective from a Low Population State / James Aspevig -- 29. National Public Health Informatics, United States / Seth Foldy -- 30. Public Health Informatics in Canada / Lawrence E. Frisch, Elizabeth M. Borycki, Alyse Capron, Abla Mawudeku, and Ronald St. John -- 31. Perspectives on Global Public Health Informatics / Janise Richards, Gerry Douglas, and Hamish S.F. Fraser -- Part VI. Epilogue -- 32. Public Health Informatics: The Path Forward / J.A. Magnuson.
- 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.
- Single cell sequencing and systems immunology 2015SpringerThe volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author?s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.
- Statistical and computational pharmacogenomics 2009CRCnetBASEDesigns 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.
- Strategic ICT planning in pathology 2013Springer
- Technology and medical sciences--TMSi 2010 proceedings of the 6th International Conference on Technology and Medical Sciences--TMSi 2010, Porto, Portugal, 21-23 October 2010 2011CRCnetBASE
- Rapid progress in health research has led to generation of new knowledge and innovative practices in management of illness. This has resulted in a significant challenge for health professionals: if today we discovered a new therapy through research, when will this discovery be regularly prescribed or utilized to treat all patients suffering from this condition? Knowledge translation is the non-linear and often complicated process of translating knowledge into routine health practices. Technology enabled knowledge translation (TEKT) is the use of information and communication technologies (ICT) to accelerate knowledge translation. With the ubiquity of the internet, the proliferation of different approaches in communication and social networking, and the continuously improving technologies from netbooks to smartphones, there are rich opportunities for TEKT in health education, service delivery, and research.
- 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.
- Telemedicine for children's health 2014Springer"This book describes in detail the potential role of ICT and electronic systems, together with the application of Web 2.0 technologies, in telepediatrics and child health. Rather than simply proposing engineering solutions that may soon become outdated, it is designed to address those real needs that telemedicine and developers are asked to meet. The orientation of the book is very much toward primary care, and both low- and high-income settings as well as extreme or complex scenarios are considered. The first two sections of the book describe different fields of application, such as the community, the hospital, and children with chronic illnesses or special needs, and examine technical issues. The use of telemedicine in delivery of care in extreme rural settings and developing countries is then discussed, with attention also to major emergencies and humanitarian crises. The closing chapters consider the role of modern technologies in the education of caregivers who work with children. Child health is a crucial issue in both industrialized and developing countries. Telemedicine for Children's Health will be an excellent guide to the potential value of telemedicine devices in reducing the burden for children and parents and in offering quick and concrete solutions in low-resource scenarios"--Provided by publisher.
- Telemedicine in dermatology 2012SpringerIntroduction to Teledermatology -- Historical Review -- Medical Prerequisites -- Technical Prerequisites -- Photographic Imaging Essentials -- Performance of Teledermatology including Clinical Examples -- Teledermatology in Underdeveloping Countries -- Special Methods of Teledermatology -- Teledermatology and Reflectance Confocal Microscopy Quality Assurance -- Legal Assumptions -- Economic Aspects and Cost-effectiveness -- Future Horizons -- APPENDIX: Education and Training Opportunities -- Quality Certificate Teledermatology -- Sample Protocol, Consent Form and Information Sheet -- References and Relevant Web links -- Glossary -- Subject Index.
- Telenursing 2011Springer
- Telerehabilitation 2013SpringerTelerehabilitation, 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.
- Terminology and terminological systems 2012SpringerIntroduction / 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
- Pt. I. The rationale for translational informatics -- An introduction to translational informatics and the future of knowledge-driven healthcare -- A prototype of translational informatics in action -- pt. II. Foundations of translational informatics -- Personalized medicine -- Leveraging electronic health records for phenotyping -- Mining the bibliome -- pt. III. Applications of translational informatics -- Driving clinical and translational research using biomedical informatics -- Using big data -- In silico hypothesis discovery -- Patient engagement and consumerism -- pt. IV. The future of translational informatics and knowledge-driven healthcare -- Future directions for translational informatics.
- 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.
- Your passport to a career in bioinformatics 2013SpringerThe book is a ready reckoner aimed at the student community aspiring to take up a career in bioinformatics. The book firstly provides a perspective on the domain and addresses the challenges faced by community namely the attempts to understand data produced by genome sequencing projects. It then brings to light High Performance Computing (HPC) as it helps in interpreting and analyzing genome sequences. The book also dwells on how interactions in a systems (organism), the components that interact with each other and the outcome of such interactions. It then calls for a consensus on the tools like rapid and inexpensive DNA sequencing technologies, HAPMAP projects, Dollar One Genome (DOG), to enable a reader understand how bioinformatics transits from research, to vocation and avocation. Further it extols the virtues of in silico for bioinformatical predictions as it helps wet-lab biologists reduce time for experiments. Also it describes the intricacies of bioinformatics and its usefulness to wet-based biologists and other cross-disciplinarians. The book lists out 10 reasons for taking up bioinformatics as a career, and includes insights from global experts on the domain. It also makes a case for a mediocre student getting into bioinformatics with discipline, determination, dynamism and diligence. The book further describes BioinformaTICKS a tool for emerging as a winner in bioinformatics.
- Harrison's Principles of Internal Medicine
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- Mandell, Douglas, & Bennett's Principles & Practice of Infectious Diseases
- Red Book Online
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- Campbell-Walsh Urology
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