GETTING A DOCTOR'S APPOINTMENT SHOULDN'T BE HARDER THAN BOOKING A VACATION The US healthcare system excels in research, innovation, and clinical care, but is failing to keep up with the operational challenges of the digital age. Today's healthcare organizations face immense financial challenges, and their most valuable resources--people, rooms, and equipment--are being used inefficiently. The result? Long wait times for patients, overstressed staff, underused assets, and poor ROI for organizations. Why do health systems struggle with optimization? The fundamental problem is one of matching an unpredictable demand for services with a constrained supply. The math being used to solve this problem is a holdover from the paper-and-pencil era. In Better Healthcare Through Math, authors Mohan Giridharadas and Sanjeev Agrawal show you that there is a better way. Healthcare systems can harness the power of sophisticated, analytics-driven mathematics to optimize the matching of supply and demand. By upgrading to software systems built on better math, they can enable staff to make data-based decisions to flatten peaks of demand and create smoother patient flow.

This workbook provides over 2700 math questions for practice and mastery of the each of the objectives included in Math for Health Care Professionals and Math for Health Care Professionals Quick Review. The use of this workbook to enhance understanding of math concepts also helps the learner become more confident in his or her knowledge and skills. The workbook may be used by anyone wishing to sharpen their math skills.

This entry-level text can help any learner successfully master the basic math skills needed in today's health professions. This edition's fresh, open, full-color design includes far more white space for student practice, plus many new learning features. MATH BASICS FOR HEALTHCARE PROFESSIONALS, 4/e begins with a comprehensive pre-test to gauge students’ abilities and remediation needs. Next, it offers practical, health-centered coverage of pre-algebra, the metric system, reading drug labels, medicine cups, syringes, intravenous administration bags, parenteral dosages, basic intravenous administration, and basic dosage by weight units. Each unit provides a 15-question pre-test, followed by concept review, instruction, examples, practice problems, critical thinking questions, and a 15-question post-test. Appendices include answers to odd-numbered practice problems, additional practice, a comprehensive post-test, and new student learning resources. Organized to build skills sequentially, the text uses proven mnemonics to support retention. This edition also adds new coverage of dimensional analysis, plus new Professional Expertise tips throughout.

Curated by the Fields Institute for Research in Mathematical Sciences from their COVID-19 Math Modelling Seminars, this first in a series of volumes on the mathematics of public health allows readers to access the dominant ideas and techniques being used in this area, while indicating problems for further research. This work brings together experts in mathematical modelling from across Canada and the world, presenting the latest modelling methods as they relate to the COVID-19 pandemic. A primary aim of this book is to make the content accessible so that researchers share the core methods that may be applied elsewhere. The mathematical theories and technologies in this book can be used to support decision makers on critical issues such as projecting outbreak trajectories, evaluating public health interventions for infection prevention and control, developing optimal strategies to return to a new normal, and designing vaccine candidates and informing mass immunization program. Topical coverage includes: basic susceptible-exposed-infectious-recovered (SEIR) modelling framework modified and applied to COVID-19 disease transmission dynamics; nearcasting and forecasting for needs of critical medical resources including personal protective equipment (PPE); predicting COVID-19 mortality; evaluating effectiveness of convalescent plasma treatment and the logistic implementation challenges; estimating impact of delays in contact tracing; quantifying heterogeneity in contact mixing and its evaluation with social distancing; modelling point of care diagnostics of COVID-19; and understanding non-reporting and underestimation. Further, readers will have the opportunity to learn about current modelling methodologies and technologies for emerging infectious disease outbreaks, pandemic mitigation rapid response, and the mathematics behind them. The volume will help the general audience and experts to better understand the important role that mathematics has been playing during this on-going crisis in supporting critical decision-making by governments and public health agencies.

Don't let your fear of math hold you back from a rewarding career in nursing or allied health! Basic Math for Nursing and Allied Health uses an easy-to-understand building-block approach designed to teach you how to correlate basic math concepts with everyday activities and eventually master the more complex calculations and formulas used by nursing and allied health professionals. This unique text walks you through essential math topics from Arabic and Roman numerals, addition, subtraction, multiplication, division, fractions, decimals, percentage, ratios and proportions, to conversion factors between household and metric measurements. Case studies used throughout the book not only demonstrate the mathematical concepts related to everyday activities and events, but also show you how to effectively use case studies to master the art of interpreting story problems. Basic Math for Nursing and Allied Health is written by an author team with extensive experience in many different healthcare fields including: pharmacy technology, medical assisting, nursing, emergency medical technology, anesthesia technology, patient care technology, and laboratory technology, as well as allied health instruction and education. Powerful learning aids help you understand and retain key concepts: "Recipes for Success" case study scenarios show how mathematical concepts and formulas can be applied to real-life situations "Manual Math" tips and reminder boxes reinforce your confidence and knowledge Key Terms provides definitions of must-know words and phrases Chapter Openers and Chapter Summaries pinpoint must-know takeaways of each chapter Practice equations after each concept sharpen your math skills End-of-Chapter practice tests help you decide whether you should progress to the next chapter Comprehensive review and final exam pinpoint your strengths and weaknesses

In 1996, and with extraordinary prescience, Panfilov and Holden had highlighted in their seminal book 'Computational Biology of the Heart' that biology was, potentially, the most mathematical of all sciences. Fast-forward 20 years and we have seen an explotion of applications of mathematics in not only biology, but healthcare that has already produced significant breakthroughs not imaginable more than 20 years ago. Great strides have been made in explaining through quantitative methods the underlying mechanisms of human disease, not without considerable ingenuity and effort. Biological mechanisms are bewildering: complex, ever evolving, multi-scale, variable, difficult to fully access and understand. This poses immense challenges to the computational physiology community that, nevertheless, has developed an impressive arsenal of tools and methods in a vertiginous race to combat disease with the tall order of improving human healthcare. Mechanistic models are now contending with the advent of machine learning in healthcare and the hope is that both approaches will be used synergistically since the complexity of human patophysiology and the difficulty of acquiring human datasets will require both, deductive and inductive methods. This Research Topic presents work that is currently at the frontier in computational physiology with a striking range of applications, from diabetes to graft failure and using a multitude of mathematical tools. This collection of articles represents a snapshot in a field that is moving a dizzying speed, bringing understanding of fundamental mechanism and solutions to healthcare problems experienced by healthcare systems all over the world.

Math for Healthcare Professionals: Dosage Calculations and Fundamentals of Medication Administration builds upon a student's existing basic math skills and teaches them the more complex solving calculations that are representative of today's healthcare practice. The foundation for learning to calculate dosages and intravenous administration will be based on the ratio and proportion model, which also adapts to the dimensional Analysis method--an increasingly popular method as dosage calculations are universalized. Math for Healthcare Professionals contains diagnostic test questions at the beginning of each chapter, sample questions throughout each chapter, and diagnostic test questions at the end of the each chapter to analyze proficiency of that subject matter. The print book includes a CD-ROM with additional practice questions.

If you find mathematics a struggle, or if mathematics makes you panic - whether you′re a student preparing for a calculations test, or a qualified healthcare professional - this is the book for you. Its focus is first and foremost on helping you develop a proper and lasting understanding of mathematical concepts and processes in a healthcare context, with an emphasis on developing mental strategies to reinforce your feeling for number and numerical relationships. Clear, accessible chapters take you step-by-step through specific sets of objectives, and once you feel you have fully mastered a particular mathematical process, you′re encouraged to practise your skills through a range of practical examples. Each chapter also contains a ′Spot the Errors′ feature designed to reflect the busy, pressurised healthcare environment. Written by Derek Haylock, a best-selling mathematics educator, and Paul Warburton, co-ordinator of the Non-Medical Prescribing programme at Edge Hill University, the book is directly linked to the NMC′s competencies and will give you the confidence to perform the safe, error-free calculations required of all healthcare professionals.

The definition of a healthcare system evolves continuously, becoming broader and more complex with each rendering. Healthcare systems can consist of many different elements, including but not limited to: access to comprehensive medical care, health promotion, disease prevention, institutional framework, financing schemes, government responsibility over health, etc. In light of its broad classification of healthcare, this book focuses on a wide spectrum of health-related issues ranging from risk factors for disease to medical treatment and possible frameworks for healthcare systems. Aging populations, increasing costs of healthcare, advancing technology, and challenges created by the COVID-19 pandemic require an innovative conceptual and methodological framework. By combining the experience and effort of researchers from a variety of fields including mathematics, medicine and economics, this book offers an interdisciplinary approach to studying health-related issues. It contributes to the existing literature by integrating the perspective of treatment with the economic determinants of health care outcomes, such as population density, access to financial resources and institutional frameworks. It also provides new evidence regarding the pharmaceutical industry including innovation, international trade and company performance. Contributors are: Sayansk Da Silva, Joe Feinglass, Scott W. Hegerty, Joseph E. Hibdon, Jr, Arkadiusz Michał Kowalski, Małgorzata Stefania Lewandowska, Dawid Majcherek, Ewelina Nojszewska, Izabela Pruchnicka-Grabias, Agata Sielska and Julian Smółka.