Medical and health informatics Books
Elsevier Health Sciences Bucks StepbyStep Medical Coding 2025 Edition
Book Synopsis
£86.39
World Scientific Publishing Co Pte Ltd Practical Bioinformatics For Beginners: From Raw
Book SynopsisNext-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However, it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms; hence, making themselves more attractive to employers who need skilled bioinformaticians.
£85.50
Elsevier Health Sciences Bucks Workbook for StepbyStep Medical Coding 2025
Book Synopsis
£37.99
Elsevier Health Sciences ICD10CMPCS Coding Theory and Practice 20252026
Book Synopsis
£75.59
Elsevier Health Sciences Medical Terminology Anatomy for Coding
Book Synopsis
£72.89
Wolters Kluwer Health Systematic Reviews to Answer Health Care
Book SynopsisAccessible, practical, and student-friendly, Systematic Reviews to Answer Health Care Questions, Second Edition, by Dr. Heidi D. Nelson, uses easy-to-understand, step-by-step instruction and real-world examples to illustrate important concepts and principles of today’s systematic reviews. You’ll learn how to form key questions, select evidence, and perform comprehensive reviews not just in predictable circumstances, but when basic rules don’t apply—honing your ability to think critically and solve problems. Perfect for investigators, medical students and faculty, practitioners, policymakers, and others who need to refine their understanding of or approach to systematic reviews, this powerful text goes beyond merely teaching how to catalog and collect, helping readers learn to evaluate, synthesize, and deliver results that will help shape the practice of health care. Provides concise, easy-to-follow instruction on how to conduct a high-quality systematic review that meets current standards in the field—from key question formulation to assessing the quality of included studies and reporting results Features updated methods and revised case studies throughout, along with new chapters on assessing quality and applicability of additional study designs and electronic tools designed to automate or improve efficiency of systematic reviews Covers the essential, practical components of how to perform a systematic review, such as defining a review’s purpose and scope, developing research questions, building a team, and managing the project to maximize efficacy Offers a useful framework to help understand how evidence is evaluated, what it means, its weaknesses or assumptions, and more Shares the knowledge and expertise of Dr. Heidi D. Nelson, a leader in the field of systematic reviews for more than 25 years, whose work has been used in shaping healthcare guidelines and policy in the United States, along with a select group of expert contributing authors An ideal resource for investigators conducting their own systematic reviews; guideline and policy committees tasked with interpreting and applying systematic reviews; students learning the science of research design, critical appraisal, and grading strength of evidence; and practitioners or others outside of health care who need a better understanding of evidence
£57.60
National Geographic Society The Great Age Reboot
Book SynopsisAs the human lifespan increases, New York Times best-selling author Michael Roizen, M.D. offers an inspiring look into the future of longevity--and reveals how to prepare for a longer, healthier future.Believe it or not, living to 100, 120, or even 130 years old will become increasingly common over the next decade--and life past 100 may not be what you think. In this groundbreaking narrative, best-selling author Michael Roizen explains how cutting-edge science and technology will revolutionize your ability to live longer, younger, and better.As evidenced in the global press, today's breakthroughs in longevity research are unprecedented. This provocative yet practical book will help you prepare for the next major social disruptor by making the best decisions for your brain, your body, and your bank account.Dr. Roizen, along with acclaimed economists Peter Linneman and Albert Ratner, unpacks a wide swath of medical phenomena--from reengineer
£17.00
Elsevier Science & Technology Essential MATLAB for Engineers and Scientists
Book SynopsisTable of Contents1. Introduction 2. MATLAB Fundamentals 3. Program Design and Algorithm Development 4. MATLAB Functions and Data Import-Export Utilities 5. Logical Vectors 6. Matrices and Arrays 7. Function M-files 8. Loops 9. MATLAB Graphics 10. Vectors as Arrays and other Data Structures 11. Dynamical Systems 12. Simulation 13. Introduction to Numerical Methods 14. Signal Processing 15. SIMULINK® Toolbox 16. Symbolics Toolbox 17. Complex Variables Applications
£44.96
Facet Publishing Introduction to Healthcare Knowledge and Library
Book SynopsisThe range of roles in healthcare knowledge and library services are many and varied. From ‘traditional’ librarian roles to those that break new ground – including clinical, embedded and outreach librarians and knowledge managers – they are a vital ongoing support for this important sector.This work brings together health information practitioners and researchers with a variety of experience across health information work within knowledge and library services in the NHS. It provides a comprehensive, practitioner-focused introduction to all aspects of knowledge and library work in the health sector with a focus on NHS England. The book begins with an overview of the NHS and how knowledge and library work sit within it. It then addresses such critical areas as services supporting evidence-based practice, the developing area of health information literacy, reflective practice, collaborative working, demonstrating impact and employing digital technology. The book ends with an exploration of what the future might hold for healthcare knowledge and library services such as, the rapid advance of artificial intelligence/machine learning and how it might shape those services and knowledge specialist roles.Knowledge and library specialists offer a valuable gift to healthcare professionals – the ‘gift of time’ enabling them to make informed decisions which directly impact upon patient care. This timely book provides a valuable reference for anyone studying or looking to enter this relevant and diverse field.Table of ContentsForeword by Rob Webster1 An introduction to healthcare knowledge and library services - David Stewart and Gil Young2 Strategic development for healthcare knowledge and library services - Louise Goswami, Alison Day and Holly Case-Wyatt3 Exploring the training and development needs of the healthcare knowledge and library services workforce: a case study Dominic Gilroy and Catherine Mclaren4 Advocacy, and how Knowledge & Library Specialists Tailor Services to meet the Needs of their Stakeholders. Holly Case Wyatt (With special thanks to Vicky Bramwell)5 Mobilising Evidence and Knowledge * Emily Hopkins and Katie Nicholas *6 Internal and External Partnerships Emily Hurt and Dawn Grundy7 Health literacy, patient information and combating misinformation* Joanne Naughton and Geoff Walton*8 Resource Discovery and Open Access Hélène Gorring and Fran Wilkie9 Growing the evidence base in healthcare knowledge and library services Alison Brettle and Ruth Carlyle10 Measuring progress, value, and impact in NHS knowledge and library services Clare Edwards, Dominic Gilroy and Victoria Treadway11 Reflective practice in healthcare settings * Tracey Pratchett, Siobhan Linsey and Rachel Cooke*12 Looking to the future of healthcare knowledge services Sue Lacey-Bryant
£36.00
Elsevier Science Biocomputing
Book Synopsis
£52.36
Elsevier Science Publishing Co Inc New Approaches of Protein Function Prediction
Book SynopsisTable of Contents1. Introduction 2. Reliability of Protein Interactions 3. Clustering-Based Protein Function Prediction 4. Iterative Approaches of Protein Function Prediction 5. Functional Aggregation for Protein Function Prediction 6. Searching for Domains for Protein Function Prediction 7. Protein Function Prediction from Functional Connectivity 8. Conclusions
£52.12
Elsevier Science Navigating the Maze
Book SynopsisTable of ContentsPART ONE: Past is Prologue1. The early years 1787–18602. The Civil War era and its legacy years 1860–18703. The Gilded Age 1870–19004. A new century: A new America 1900–19255. From depression to global engagement 1925–19456. Donning the mantle of world leadership 1945–19527. Growing pains 1952–19748. A fresh start 1974–1992 PART TWO: Science and Technology Policies in the Modern Age9. Crossing new intersections 1992–200010. Years of anxiety 2001–200811. Recovery and reinvention 2009–201612. Loose change References
£55.05
Elsevier Science Artificial Intelligence in Bioinformatics
Book SynopsisTable of ContentsPART 1 ARTIFICIAL INTELLIGENCE: METHODS 1. Knowledge Representation and Reasoning 2. Machine Learning 3. Artificial Intelligence 4. Data Science 5. Deep Learning 6. Explainability of AI methods 7. Intelligent Agents PART 2 ARTIFICIAL INTELLIGENCE: BIOINFORMATICS 8. Sequence Analysis 9. Structure Analysis 10. Omics Sciences 11. Ontologies in Bioinformatics 12. Integrative Bioinformatics 13. Biological Networks Analysis 14. Biological Pathway Analysis 15. Knowledge Extraction from Biomedical Texts 16. Artificial Intelligence in Bioinformatics: Issues and Challenges
£67.49
Pearson Education (US) The AI Revolution in Medicine
Book SynopsisTable of ContentsAuthors' Note Foreword Prologue Chapter 1: First Contact Chapter 2: Medicina ex Machina Chapter 3: The Big Question: Does It “Understand?” Chapter 4: Trust but Verify Chapter 5: The AI-Augmented Patient Chapter 6: So Much More: Math, Coding, and Logic Chapter 7: The Ultimate Paperwork Shredder Chapter 8: Smarter Science Chapter 9: Safety First Chapter 10: The Big Black Bag Epilogue Further Reading Acknowledgments
£20.69
Oxford University Press Inc Live Like Nobody Is Watching
Book SynopsisRespect for patient autonomy and data privacy are generally accepted as foundational western bioethical values. Nonetheless, as our society embraces expanding forms of personal and health monitoring, particularly in the context of an aging population and the increasing prevalence of chronic diseases, questions abound about how artificial intelligence (AI) may change the way we define or understand what it means to live a free and healthy life. Who should have access to our health and recreational data and for what purpose? How can we find a balance between users'' physical safety and their autonomy? Should we allow individuals to forgo continuous health monitoring, even if such monitoring may minimize injury risks and confer health and societal benefits? Would being continuously watched by connected devices ironically render patients more isolated and their data more exposed than ever?Drawing on different use cases of AI health monitoring, this book explores the socio-relational contexTrade ReviewAI-enabled home health monitoring, care delivery and health apps are transforming healthcare. Using the lens of relational autonomy theory, Anita Ho carefully assesses both the potential benefits of these technologies and the ethical challenges they raise for users' autonomy. She demonstrates the importance of situating AI health technologies in a wider socio-relational context, and argues that to truly enhance users' autonomy, these technologies should complement, rather than replace the therapeutic relationship. Timely, informative and thoroughly researched, Ho's book makes an important contribution to contemporary debates about AI and healthcare. * Catriona Mackenzie, Philosophy *Anita Ho parts the fog of technological determinism with moral clarity. Her deeply informed analysis explains the structuring power of AI health monitoring, leading to new understanding of what's at stake for all of us. Live Like Nobody Is Watching is essential reading in graduate programs -- including all health sciences. * Clara Berridge, School of Social Work, University of Washington *Table of ContentsAbbreviations Acknowledgments Preface Introduction Chapter 1: Artificial Autonomy or Relational Intelligence: How Relationality Matters in Health Monitoring Chapter 2: Independent Living With(out) Privacy: AI Home Health Monitoring Chapter 3: Artificial Doctoring: The Case of Direct-to-Consumer Health Monitoring Chapter 4: A Digital Pill to Swallow: AI Monitoring for Medication Adherence and Therapeutic Relationship Chapter 5: From One-Way Mirror to Two-Way Street: Realigning Goals and Practices of AI Health Monitoring Prologue Bibliography Index
£30.59
Oxford University Press Inc Applied Statistics with R
Book SynopsisThis book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.
£77.90
Oxford University Press Inc Applied Statistics with R
This book teaches readers how to analyse data using a programming language called 'R'. R is freely available software and is easily the most widely used program in ecology and evolutionary biology, and is quickly becoming the program-of-choice in other fields such as neuroscience and psychology.
£31.34
Oxford University Press Fix IT See and solve the problems of digital
Book SynopsisNew technologies like AI, medical apps and implants seem very exciting but they too often have bugs and are susceptible to cyberattacks. Even well-established technologies like infusion pumps, pacemakers and radiotherapy aren''t immune.Until digital healthcare improves, digital risk means that patients may be harmed unnecessarily, and healthcare staff will continue to be blamed for problems when it''s not their fault.This book tells stories of widespread problems with digital healthcare. The stories inspire and challenge anyone who wants to make hospitals and healthcare better. The stories and their resolutions will empower patients, clinical staff and digital developers to help transform digital healthcare to make it safer and more effective. This book is not just about the bugs and cybersecurity threats that affect digital healthcare. More importantly, it''s about the solutions that can make digital healthcare much safer.Trade ReviewThis is an extraordinary book: a potent and engaging compendium of revelatory stories, bold insights, wise advice, and fresh thinking. * Daniel Jackson (Professor of Computer Science, MIT) *This is a brilliant and hugely enjoyable book which should be compulsory reading for anyone with high-level responsibility for patient care. * Martin Elliott (former Medical Director, Great Ormond Street Hospital for Children) *Table of Contents1: How to read this book PART 1: Diagnosis - riskier than you think 2: We don't know what we don't know 3: Cat Thinking 4: Dogs dancing 5: Fatal overdose 6: Swiss Cheese 7: Victims & second victims 8: Side-effects and scandals 9: The scale of the problem 10: Medical apps and bug blocking PART 2: Treatment - Finding solutions 11: Cars have got safer 12: Safety Two 13: Computational Thinking 14: Risky calculations 15: Who's accountable? 16: Regulation needs fixing 17: Safe and secure 18: Who profits? 19: Interoperability 20: Human Factors 21: Computer Factors 22: User Centered Design 23: Iterative Design 24: Wedge Thinking 25: Attention to detail 26: Planes have got safer 27: Stories for developers 28: Finding bugs 29: Choose safety Part 3: Prognosis - a better future 30: Signs of life 31: The pivotal pandemic? 32: Living happily ever after 33: Good reading 34: Notes 35: Healthcare openness and acknowledgements
£34.49
Oxford University Press An Introduction to Clinical Trials
Book SynopsisAn Introduction to clinical trials is a concise step-by-step guide to the principles and practices of clinical trials for those studying clinical trials or new to working on one. Clinical trials are critical to the progress of medicine and improving healthcare, as they evaluate whether new treatments and interventions work. They are also complex, multidisciplinary projects that integrate science, ethics, and legal requirements in the conduct of medical research. Starting with the research question, An Introduction to clinical trials explains study design, sample size determination, study set-up, study conduct, statistical analysis, and dissemination of the results. The book primarily focusses on randomised controlled trials as the ultimate clinical trial. It demystifies the terminology used in clinical trials research and presents the underlying scientific and statistical concepts. Real-life examples are used throughout to bring concepts to life.Written by an experienced medical statistician, An Introduction to clinical trials will benefit readers of all backgrounds, from postgraduate and medical students, trainee doctors and healthcare professionals to others working on clinical trials in a professional capacity. This book aims to help readers gain a fuller and more rounded understanding of clinical trials.Table of Contents1: What is a clinical trial? 2: Designing a clinical trial 3: Randomised controlled trials 4: Alternative randomised controlled trials designs 5: Choosing the sample size for a clinical trial 6: Setting up a clinical trial 7: Data collection and monitoring in a clinical trial 8: Conducting a clinical trial 9: Analysing a clinical trial 10: Reporting and disseminating the findings of a clinical trial
£49.91
The University of Chicago Press Life Out of Sequence
Book SynopsisLooks inside this landscape of digital scientific work. This title chronicles the emergence of bioinformatics - the mode of working across and between biology, computing, mathematics, and statistics - from the 1960s to the present, seeking to understand how knowledge about life is made in and through virtual spaces.Trade Review"What happens to biology with computerization? Hallam Stevens's compelling ethnographic and historical narrative shows how the nature of the biological experiment has changed with the increasing use of the tools of information technology in life science and biomedicine." (Hannah Landecker, University of California, Los Angeles)"
£79.80
The University of Chicago Press Life Out of Sequence
Book SynopsisLooks inside this landscape of digital scientific work. This title chronicles the emergence of bioinformatics - the mode of working across and between biology, computing, mathematics, and statistics - from the 1960s to the present, seeking to understand how knowledge about life is made in and through virtual spaces.Trade Review"What happens to biology with computerization? Hallam Stevens's compelling ethnographic and historical narrative shows how the nature of the biological experiment has changed with the increasing use of the tools of information technology in life science and biomedicine." (Hannah Landecker, University of California, Los Angeles)"
£26.60
Elsevier Science Publishing Co Inc Practice Management With Auditing for Coders
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£132.19
Elsevier Science Publishing Co Inc The Electronic Health Record for the Physicians
Book Synopsis
£54.77
Elsevier Health Sciences Bucks 2022 ICD10CM Hospital Edition 2022 HCPCS
Book Synopsis
£236.24
Elsevier Health Sciences Bucks StepbyStep Medical Coding 2023 Edition
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£134.99
Elsevier - Health Sciences Division Fordneys Medical Insurance and Billing
Book SynopsisTable of ContentsUNIT 1 Career Role and Responsibilities 1 Role of an Insurance Billing Specialist 2 Privacy, Security, and HIPAA 3 Compliance, Fraud, and Abuse UNIT 2 Introduction to Health Insurance 4 Basics of Health Insurance 5 The Blue Plans, Private Insurance, and Managed Care Plans 6 Medicare 7 Medicaid and Other State Programs 8 TRICARE and Veterans' Health Care 9 Workers' Compensation 10 Disability Income Insurance and Disability Benefit Programs UNIT 3 Documentation and Coding for Professional Services 11 Medical Documentation and the Electronic Health Record 12 Diagnostic Coding 13 Procedural Coding UNIT 4 Claims Submission in the Medical Office 14 The Paper Claim CMS-1500 15 The Electronic Claim UNIT 5 The Claim Follow-Up and Payment Process 16 Receiving Payments and Insurance Problem Solving 17 Collection Strategies UNIT 6 Health Care Facility Billing 18 Introduction to Health Care Facilities and Ambulatory Surgery Centers 19 Billing for Health Care Facilities UNIT 7 Employment 20 Seeking a Job and Attaining Professional Advancement
£107.34
Elsevier - Health Sciences Division Workbook for Fordneys Medical Insurance and
Book SynopsisTable of ContentsUnit One: Career Roles and Responsibilities 1. Role of an Insurance Billing Specialist 2. Privacy, Security and HIPAA 3. Compliance, Fraud and Abuse Unit Two: Introduction to Health Insurance 4. Basics of Health Insurance 5. The Blue Plans, Private Insurance and Managed Care Plans 6. Medicare 7. Medicaid and Other State Programs 8. TRICARE and Veteran's Health Care 9. Workers Compensation 10. Disability Income Insurance and Disability Benefit Insurance Unit Three: Documentation and Coding for Professional Services 11. Medical Documentation and the Electronic Health Record 12. Diagnostic Coding 13. Procedural Coding Unit Four: Claims Submission in the Medical Office 14. The Paper Claim CMS-1500 15. The Electronic Claim Unit Five: The Claim Follow-Up and Payment Process 16. Receiving Payments and Insurance Problem Solving 17. Collection Strategies Unit Six: Healthcare Facility Billing 18. Ambulatory Surgery Center 19. Hospital Outpatient and Inpatient Billing Unit Seven: Employment 20. Seeking a Job and Attaining Professional Advancement
£38.94
Elsevier Health Sciences Fordneys Medical Insurance Text and Workbook
Book Synopsis
£111.59
Elsevier Science Deep Learning for Medical Image Analysis
Book SynopsisTable of Contents1. An Introduction to Neural Networks and Deep Learning 2. Deep reinforcement learning in medical imaging 3. CapsNet for medical image segmentation 4.Transformer for Medical Image Analysis 5. An overview of disentangled representation learning for MR images 6. Hypergraph Learning and Its Applications for Medical Image Analysis 7. Unsupervised Domain Adaptation for Medical Image Analysis 8. Medical image synthesis and reconstruction using generative adversarial networks 9. Deep Learning for Medical Image Reconstruction 10. Dynamic inference using neural architecture search in medical image segmentation 11. Multi-modality cardiac image analysis with deep learning 12. Deep Learning-based Medical Image Registration 13. Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI 14. Deep Learning in Functional Brain Mapping and associated applications 15. Detecting, Localising, and Classifying Polyps from Colonoscopy Videos Using Deep Learning 16. OCTA Segmentation with limited training data using disentangled represenatation learning 17. Considerations in the Assessment of Machine Learning Algorithm Performance for Medical Imaging
£79.96
Elsevier - Health Sciences Division Bucks The Next Step Advanced Medical Coding and
Book SynopsisTable of ContentsCHAPTER 1 Evaluation and Management Services CHAPTER 2 Medicine CHAPTER 3 Radiology CHAPTER 4 Pathology and Laboratory CHAPTER 5 Integumentary System CHAPTER 6 Cardiovascular System CHAPTER 7 Digestive System, Hemic/Lymphatic System CHAPTER 8 Musculoskeletal System CHAPTER 9 Respiratory System CHAPTER 10 Urinary, Male Genital, and Endocrine Systems CHAPTER 11 Female Genital System and Maternity Care/Delivery CHAPTER 12 Nervous System CHAPTER 13 Eye and Auditory Systems CHAPTER 14 Anesthesia FIGURE CREDITS APPENDICES GLOSSARY INDEX
£71.99
Elsevier - Health Sciences Division Bucks 2023 Coding Exam Review
Book SynopsisTable of ContentsPart 1: Anatomy, Terminology, and Pathophysiology 1 Integumentary System 2 Musculoskeletal System 3 Respiratory System 4 Cardiovascular System 5 Female Genital System and Pregnancy 6 Male Genital System 7 Urinary System 8 Digestive System 9 Mediastinum and Diaphragm 10 Hemic and Lymphatic System 11 Endocrine System 12 Nervous System 13 Senses Part 2: Physician-based Reimbursement Issues 14 Physician-based Reimbursement Issues Part 3: Facility-based Reimbursement Issues 15 Facility-based Reimbursement Issues Part 4: CPT and HCPCS Coding 16 Introduction to CPT 17 Evaluation and Management (E/M) Section (99202-99499) 18 Anesthesia Section (00100-01999) 19 CPT/HCPCS Level I Modifiers (-22 to -99) 20 Surgery Section (10004-69990) 21 Radiology Section (70010-79999) 22 Pathology and Laboratory Section (80047-89398, 0001U-0354U) 23 Medicine Section (90281-99607) 24 HCPCS Coding Part 5: ICD-10-CM and ICD-10-PCS Coding 25 ICD-10-CM Overview 26 Using ICD-10-CM 27 ICD-10-CM Chapters 1-10 28 ICD-10-CM Chapters 11-14 29 ICD-10-CM Chapters 15-22 30 Outpatient Coding 31 ICD-10-PCS, Reporting Inpatient Procedures Part 6: Physician-based Examinations 32 Physician-based Examinations Part 7: Facility-based Examinations 33 Facility-based Examinations Appendix A Resources Appendix B Answers Appendix C Medical Terminology Appendix D Combining Forms Appendix E Prefixes Appendix F Suffixes Appendix G Abbreviations Appendix H Further Text Resources Appendix I Pharmacology Review Index
£68.39
Elsevier - Health Sciences Division Foundations of Health Information Management
Book SynopsisTable of ContentsUnit 1: The Environment of Health Care 1. The Health Care Industry 2. Collecting and Storing Health Care Data Unit 2: Content, Structure, and Processing of Health Information 3. Sources of Data 4. Data Quality and Management 5. Coded Data Unit 3: Use and Analysis of Data 6. Financial Management 7. Statistics and Data Analytics Unit 4: Administration and Operations 8. Confidentiality and Compliance 9. Management and Leadership 10. Performance Improvement and Project Management Appendix A Paper Health Records Appendix B Electronic Documentation Appendix C Using Microsoft Excel to Perform Calculations Glossary Index Abbreviations
£73.14
Elsevier Science Health Information Exchange
Book SynopsisTable of ContentsSection 1: Health Information Exchange Fundamentals1. What is Health Information Exchange?2. Health Information Exchange as a Profession3. Policies and Incentives for Adoption: Towards Broader Use Section 2: Organizational Aspects of Managing Health Information Exchange 4. Engaging and Sustaining Stakeholders: Towards Governance5. Managing the Business of Health Information Exchange: Towards Sustainability6. Managing Privacy, Confidentiality, and Risk: Towards Trust7. Managing Threats to Health Data and Information: Towards Security Section 3: Technical Architecture and Building Blocks 8. Architectures and Approaches to Manage the Evolving Health Information Infrastructure9. Syntactic Interoperability and the Role of Syntactic Standards in Health Information Exchange10. Standardizing Health Care Data across an Enterprise11. Shared, Longitudinal Health Records for Clinical and Population Health12. Client Registries: Identifying and Linking Patients13. Facility Registries: Metadata for Where Care Is Delivered14. Health Worker Registries: Managing the Health Care Workforce15. Finance and Insurance Services: Supporting Achievement of Universal Healthcare Section 4: Impacting Health Care Delivery and Outcomes16. The Evidence Base for HIE17. Measuring the Value of HIE18. Leveraging HIE to Facilitate Large Scale Data Analytics19. Incorporating Social, Genomic, and Environmental Determinants into HIE20. Cross-border HIE to Achieve World Health Outcomes21. Future Directions for Health Information Exchange Section 5: Case Studies in Health Information Exchange22. The Indiana Health Information Exchange23. Using Health Information Exchange to Support Public Health Activities in Western New York: A Case Study24. Creating a 21st Century Health Information Technology Infrastructure: New York’s Health Care Efficiency and Affordability Law for New Yorkers Capital Grant Program25. Use of HIEs for Value-Based Care Delivery: A Case Study of Maryland’s HIE26. Return on Investment: The Case of the Social Security Administration27. HIE-Enhanced Care Coordination: Implementation and Evaluation of Event Notification Services in the Veterans Health Administration28. A Resilient Infrastructure to Facilitate Digital Health: The Case of HIE in Denmark29. National Health Information Systems: Exchange in Multiple African Nations30. Health Information Exchange in Taiwan: Multiple Layers to Facilitate Broad Access and Use of Data for Clinical and Population Health31. Israel’s National HIE Network Ofek: A Robust Infrastructure for Clinical and Population Health32. Bringing HIE to the Middle East and North Africa: The Case of Malaffi in Abu Dhabi
£82.76
Elsevier - Health Sciences Division Workbook for Beiks Health Insurance Today
Book SynopsisTable of ContentsUNIT ONE: BUILDING A FOUNDATION Chapter 1: The Origins of Health Insurance Chapter 2: Tools of the Trade: A Career as a Health Insurance (Medical) Professional Chapter 3: The Legal and Ethical Side of Health Insurance Chapter 4: Healthcare Reform: Coverage Types and Sources Chapter 5: The Patient and the Billing Process UNIT TWO: HEALTH INSURANCE BASICS Chapter 6: Reimbursement Models Chapter 7: Understanding Managed Care Chapter 8: Understanding Medicare Chapter 9: Understanding Medicaid Chapter 10: Understanding Military Carriers Chapter 11: Understanding Miscellaneous Carriers: Workers' Compensation and Disability Insurance UNIT THREE: CLAIMS SUBMISSION Chapter 12: Claim Submission Methods Chapter 13: Diagnostic Coding Chapter 14: Procedural, Evaluation and Management, and HCPCS Coding Chapter 15: Claims Management UNIT FOUR: ADVANCED APPLICATION Chapter 16: The Role of Computers in Health Insurance Chapter 17: Reimbursement Procedures: Getting Paid Chapter 18: Hospital Billing and the UB-04 Appendix: Blank Forms
£37.79
Elsevier Artificial Intelligence in Medicine
Book Synopsis
£113.40
Elsevier Science & Technology Practical Data Analytics for Innovation in
Book SynopsisTable of ContentsPart I: Historical Perspective and the Issues of Concern for Health Care Delivery in the 21st Century 1. History of Medical Health Care Delivery & Basic Medical Research 2. "Things That Matter !!!" - Why This Book? 3. Biomedical Informatics 4. Access to Data for Analytics – the ‘Biggest Issue’ in Medical and Healthcare Predictive Analytics 5. Regulatory Measures – Agencies, and Data Issues in Medicine and Healthcare 6. Personalized Medicine 7. Patient-Directed Healthcare 8. OMICS or MULTIOMICS 9. Challenges and Considerations of AI and Genomics Part II: Practical Step-by-Step Tutorials and Case Studies TUTORIAL A Case Study: Imputing Medical Specialty Using Data Mining Models TUTORIAL AA: VOC for Cancer Detection / Prediction TUTORIAL B Case Study: Using Association Rules of Investigate Characteristics of Hospital Readmissions TUTORIAL BB Case Study: COVID-19 Descriptive Analysis Around the World TUTORIAL C Constructing Decision Trees for Medicare Claims Using R and Rattle TUTORIAL D Predictive and Prescriptive Analytics for Optimal Decisioning: Hospital Readmission Risk Mitigation TUTORIAL E Obesity Group: Predicting Medicine and Conditions That Achieved the Greatest Weight Loss in a Group of Obese/Morbidly Obese Patients TUTORIAL F1 Obesity Individual: Predicting Best Treatment or an Individual from Portal Data at a Clinic TUTORIAL F2 Obesity Individual: Automatic Binning of Continuous Variables and WoE to Produce a Better Model than the "Hand Binned" Stepwise Regression Model TUTORIAL G Resiliency Study for First- and Second-Year Medical Residents TUTORIAL H Medicare Enrollment Analysis Using Visual Data Mining TUTORIAL I Case Study: Detection of Stress-Induced Ischemia in Patients with Chest Pain "Rule-Out ACS" Protocol TUTORIAL J1 Predicting Survival or Mortality for Patients with Disseminated Intravascular Coagulation and/or Critical illnesses TUTORIAL J2 Decisioning for DIC TUTORIAL K Predicting Allergy Symptoms TUTORIAL L Exploring Discrete Database Networks of TriCare Health Data Using R and Shiny TUTORIAL M Schistosomiasis Data from WHO TUTORIAL N The Poland Medical Bundle TUTORIAL O Medical Advice Acceptance Prediction TUTORIAL P Using Neural Network Analysis to Assist in Classifying Neuropsychological Data TUTORIAL Q Developing Interactive Decision Trees using Inpatient Claims (with SAS Enterprise Miner) TUTORIAL R Divining Healthcare Charges for Optimal Health Benefits Under the Affordable Care Act TUTORIAL S Availability of Hospital Beds for Newly Admitted Patients: The Impact of Environmental Services on Hospital Throughput TUTORIAL T Predicting Vascular Thrombosis: Comparing Predictive Analytic Models and Building an Ensemble Model for "Best Prediction" TUTORIAL U Predicting Breast Cancer Diagnosis Using Support Vector Machines TUTORIAL V Heart Disease: Evaluating Variables That Might Have an Effect on Cholesterol Level (Using Recode of Variables Function) TUTORIAL W Blood Pressure Predictive Factors TUTORIAL X Gene Search and the Related Risk Estimates: A Statistical Analysis of Prostate Cancer Data TUTORIAL Y Ovarian Cancer Prediction via Proteomic Mass Spectrometry TUTORIAL Z Influence of Stent Vendor Representatives in the Catheterization Lab Part III: Practical Solutions and Advanced Topics in Administration and Delivery of Health Care Including Practical Predictive Analytics for Medicine 1. Challenges for Healthcare Administration and Delivery: Integrating Predictive and Prescriptive Modeling into Personalized Health Care 2. Challenges of Medical Research for the Remainder of the 21st Century 3. Introduction to the Cornerstone Chapters of this Book, Chapters 12 -15: The "Three Processes": Quality Control, Predictive Analytics, and Decisioning 4. The Nature of Insight from Data and Implications for Automated Decisioning: Predictive and Prescriptive Models, Decisions, and Actions 5. Decisioning Systems (Platforms) Coupled with Predictive Analytics in a Real Hospital Setting - A Model for the World 6. The Latest in Predictive and Prescriptive Analytics 7. The Coming Standard for a Data Model – OMOP (Observational Medical Outcomes Partnership) as per Observational Health Data Sciences and Informatics (OHDS) at University of California-Irvine 8. A Real Case Study of GLAUCOMA (eye disease) and suggested PREDICTIVE MODELING for identifying individual patient predictions of best treatment with high accuracy 9. Analytics Architectures for the 21st Century 10. Causation and How This ‘Cutting Edge Concept’ Works with Predictive Analytics and Prescriptive Analytics (Decisioning) 11. 21st Century Healthcare and Wellness: Getting the Health Care Delivery System That Meets Global Needs
£82.76
Elsevier Science Current Molecular Targets of Heterocyclic
Book Synopsis
£113.40
Elsevier Science Digital Transformation in Healthcare in
Book SynopsisTable of Contents1. The Challenges in the HealthCare in the post-COVID-19 era2. The enabling technologies for the Digital Transformation3. A value driven approach to the delivery of patient centric top-quality health services4. Analytics and Enhanced Decision Making in Health5. Best Practices for Training towards Digital Transformation and Sustainable health
£103.50
Elsevier Science & Technology Theranostics and Precision Medicine for the
Book SynopsisTable of Contents1. Clinical and safety assessment of the HCC patients2. Liver transplantation for HCC therapy3. Clinical trials for HCC in the diagnosis and therapy: An international perspective4. Recent advancements in immunotherapy interventions for the management of HCC5. Role of genetic insights and tumor microenvironment in HCC: New opportunities for gene therapy6. An Update on the treatment of hepatocellular carcinoma7. An update of image-based surveillance in HCC8. Meta-analysis of PD-1/PD-L1 inhibitors in advanced HCC9. Towards a personalized medicine approach for the treatment of HCC10. Precision medicine in the theranostics of HCC11. Immunohistology of HCC-enabled precision medicine12. Artificial Intelligence and Precision Medicine for HCC13. Genomics-Enabled Precision Medicine for HCC
£95.25
WW Norton & Co Fragmented
Book SynopsisAn award-winning physician-writer exposes how pervasive cracks in the health care system cost us time, energy, and lives—and how we can fix them.Trade Review"Yurkiewicz is working against the grain of American health care, in which patients are assumed to be consumers, not managers of it. . . . [Her] book is a detailed, moving portrait of what medicine could look like." -- Leah Libresco Sargeant - National Review"Illuminating case studies drive home the dire consequences of fragmentation . . . Persuasive and damning, this scathing indictment unsettles." -- Publishers Weekly (starred review)"Moving . . . Yurkiewicz’s poignant prose reads like a novel . . . An engaging read that paints an honest picture of how a broken system impacts patients and providers." -- Kirkus"Yurkiewicz makes a frightening and compelling case against a medical system that doesn’t promote—and often hinders—communication among medical caregivers, to the detriment of patients . . . An informative and sobering look at the state of patient care in the United States." -- Library Journal"Fragmented is a bravura feat of synthesis, showing how so many failings of America’s health care system are actually facets of the same horrible problem. It’s a call to arms, showing that said problem is intolerable and fixable. It’s an essential book, possessed of a ferocious urgency and anchored by Ilana Yurkiewicz’s stirring, compassionate writing." -- Ed Yong, New York Times best-selling author and winner of the Pulitzer Prize"A beautiful meditation on and exposé of the failures and opportunities in American health care. Ilana Yurkiewicz brings her singular voice—as a brilliant doctor scrabbling to provide top-notch care, a vulnerable daughter actively bridging gaps during her own father’s serious illness, and an expert observer of systems and policy—to this crucial book full of empathy, gripping stories, and hard-won wisdom about how to achieve better care for us all. I loved it." -- Lucy Kalanithi, MD, Stanford School of Medicine, and widow of Paul Kalanithi, author of When Breath Becomes Air"American health care is so technically advanced, the spawning ground for life-changing medical breakthroughs, yet it fails so many by being dysfunctional, absurdly costly, and uneven . . . Ilana Yurkiewicz combines lucid prose, astute observations as a frontline provider, and incredible empathy to dissect this paradox in an unforgettable way . . . An important book." -- Abraham Verghese, author of The Covenant of Water and Cutting for Stone"Urgent, timely, and eye-opening." -- Danielle Ofri, MD, PhD, author of When We Do Harm"A lucid diagnosis of the systemic problem that has resulted in our ‘broken’ health-care system. Yurkiewicz allows readers to see through a young doctor's eyes as the reality of fragmentation dawns during intensely emotional situations, infusing compelling narratives with humor and humanity, and making sense of inscrutable health policy issues that affect us all. Somehow, amid the chaos, Fragmented is able to find a glimmer of hope that is desperately needed." -- James Hamblin, MD, author of Clean"Fragmented is a riveting, impassioned narrative that details the Kafka-esque paradox of American medicine: Despite having access to more information than ever, our doctors seem to know less and less about us. What makes it so uplifting and inspiring is that Yurkiewicz, an oncologist who has witnessed this problem first-hand, is optimistic that these challenges can be overcome—and that a more compassionate, humane healthcare system is within reach." -- Seth Mnookin, New York Times best-selling author and professor of science writing, Massachusetts Institute of Technology"From the intimacy of the hospital wards and her relationships with her own patients, Yurkiewicz tells the compelling story of the razor-thin margins by which medical care is delivered successfully in the United States, and how easily people can slip through the cracks of our health system. A must-read." -- Mikkael A. Sekeres, MD, MS, author of Drugs and the FDA and When Blood Breaks Down
£23.39
Elsevier Health Sciences Fordneys Medical Insurance and Billing
Book Synopsis
£106.19
Elsevier Science Cancer Epigenetics and Nanomedicine
Book Synopsis
£124.20
Elsevier Science Nitric Oxide in Health and Disease
Book SynopsisTable of ContentsSection 1: General properties of NO/metabolites in human diseasesSection 2: Development of novel NO donors/inhibitors and NO complexes: properties, cell signaling, synergy Section 3: Pharmacokinetics of NO donors/inhibitors in animal models and toxicities Section 4: Red-Ox signaling and modification of proteins. Characterization of their modified functions Section 5: Therapeutic applications of NO donors/inhibitors in non-cancer related human diseases Section 6: Therapeutic applications of NO donors/inhibitors in various cancersConcluding remarks and future perspectives
£121.50
Elsevier Science Reverse Vaccinology
Book Synopsis
£124.20
Elsevier Science All About Bioinformatics
Book SynopsisTable of Contents1. What is bioinformatics? 2. Introduction to biological databases 3. Statistical methods in bioinformatics 4. Algorithms in computational biology 5. Genetic variations 6. Structural bioinformatics 7. High throughput technology 8. Drug informatics 9. A machine learning approach to bioinformatics 10. Systems and network biology 11. Bioinformatics workflow management systems 12. Data handling using Python
£103.50
Elsevier Science Emerging Practices in Telehealth
Book SynopsisTable of Contents1. Telehealth basics - what’s known, how it works 2. Technology and workflow implementation for telehealth 3. Integration into EMRs and clinical workflows 4. Billing basics / Fundamentals 5. Optimizing the patient experience 6. Using RPM with Telehealth 7. Creating the perfect telehealth product 8. Increasing access and decreasing disparity with telehealth 9. International telehealth implementation - The Russian experience 10. International telehealth implementation – The Gujarat experience 11. Global telehealth and digital health – how to support programs and infrastructure 12. The rise of artificial intelligence in telehealth
£103.50
Elsevier Science Applications of Artificial Intelligence in
Book SynopsisTable of Contents1. Introduction to artificial intelligence techniques for medical image analysis ABDULHAMIT SUBASI 2. Lung cancer detection from histopathological lung tissue images using deep learning AAYUSH RAJPUT AND ABDULHAMIT SUBASI 3. Magnetic resonance imagining-based automated brain tumor detection using deep learning techniques ABHRANTA PANIGRAHI AND ABDULHAMIT SUBASI 4. Breast cancer detection from mammograms using artificial intelligence ABDULHAMIT SUBASI, AAYUSH DINESH KANDPAL, KOLLA ANANT RAJ AND ULAS BAGCI 5. Breast tumor detection in ultrasound images using artificial intelligence OMKAR MODI AND ABDULHAMIT SUBASI 6. Artificial intelligence-based skin cancer diagnosis ABDULHAMIT SUBASI AND SAQIB AHMED QURESHI 7. Brain stroke detection from computed tomography images using deep learning algorithms AYKUT DIKER, ABDULLAH ELEN AND ABDULHAMIT SUBASI 8. A deep learning approach for COVID-19 detection from computed tomography scans ASHUTOSH VARSHNEY AND ABDULHAMIT SUBASI 9. Detection and classification of Diabetic Retinopathy Lesions using deep learning SIDDHESH SHELKE AND ABDULHAMIT SUBASI 10. Automated detection of colon cancer using deep learning AAYUSH RAJPUT AND ABDULHAMIT SUBASI 11. Brain hemorrhage detection using computed tomography images and deep learning ABDULLAH ELEN, AYKUT DIKER AND ABDULHAMIT SUBASI 12. Artificial intelligence-based retinal disease classification using optical coherence tomography images SOHAN PATNAIK AND ABDULHAMIT SUBASI 13. Diagnosis of breast cancer from histopathological images with deep learning architectures EMRAH HANCER AND ABDULHAMIT SUBASI 14. Artificial intelligence based Alzheimer’s disease detection using deep feature extraction MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI
£103.50
Elsevier Science Resilient Health
Book Synopsis
£97.75
