Modeling and Simulation in the Medical and Health Sciences

John A. Sokolowski, Catherine M. Banks, John A. Sokolowski, Catherine M. Banks

• Publisher: Wiley
• Year: 2012
• Print ISBN: 9780470769478
• eBook ISBN: 9781118003190
• Edition: 1
• Topic: Mathématiques
• Subtopic: Probabilités et statistiques

This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation in the medical and health sciences; Medical and Health Sciences Models provides the theoretical underpinnings of medical and health sciences modeling; and Modeling and Simulation Applications in Medical and Health Sciences focuses on teaching, training, and research applications.  The book begins with a general discussion of modeling and simulation from the modeling and simulation discipline perspective. This discussion grounds the reader in common terminology.  It also relates this terminology to concepts found in the medical and health care (MHC) area to help bridge the gap between developers and MHC practitioners. Three distinct modes of modeling and simulation are described: live, constructive, and virtual.  The live approach explains the concept of using real (live) people employing real equipment for training purposes.  The constructive mode is a means of engaging medical modeling and simulation.  In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes.  The virtual mode is perhaps the most fascinating as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at break-neck speed.  In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability.

PART ONE

Fundamentals of Medical and Health Sciences Modeling and Simulation

Chapter 1

Introduction to Modeling and Simulation in the Medical and Health Sciences

CATHERINE M. BANKS

INTRODUCTION

Technological advancements have paved the way for new approaches to modeling, simulation, and visualization. Modeling now encompasses high degrees of complexity and holistic methods of data representation. Various levels of simulation capability allow for improved outputs and analysis of discrete and continuous events, and state-of-the-art visualization allows for graphics that can represent details within a single shaft of hair [1]. These technological developments were first exploited among the engineering and computer science disciplines; however, the expanding body of knowledge and user-friendly applications of modeling and simulation (M&S) have resulted in applications across the disciplines. As such, M&S is at the forefront of multidisciplinary collaboration that integrates quantitative and qualitative research methods and diverse modeling paradigms. Significantly, these modeling tools are capable of representing many aspects of life, including life itself. Case in point: the use of M&S in the medical and health sciences (MHSs).

Practitioners in the MHSs are engaging M&S to explore and understand some fundamental aspects of health care, such as human behavior, human systems, medical treatment, and disease proliferation. The training tools available to people in these fields include the three primary modes of M&S: live, virtual, and constructive. These modes facilitate the development of mathematical, physical, computer, and human models. Thus, it can be said that medical and health sciences is an evolutionary, interdisciplinary process of model development and simulation design requiring the expertise of developers (M&S experts) and users (medical and health care trainers and practitioners) to facilitate a seamless mode of information transmission. The information discussed in this book is designed to educate future members of the MHS M&S community toward developing and perfecting a seamless mode of information transmission in the health care domain via M&S.

Consider this seamless mode of information transmission as having two interrelated meanings. The first is a focus on basic M&S as it pertains to the MHSs, in which the objective is to create environments whereby precise information transfers directly to or is discovered by the health care provider. The second meaning, and one that serves as the impetus for this book, is that M&S developers and users must share expertise, requirements, and criticisms while recognizing limitations and expectations regarding model development and simulation design. Any expert modeler will freely admit that modeling is not easy: The more complex the system or entity to be represented or characterized, the more difficult the task of modeling it. Added to that is the difficulty of modeling the organic, dynamic nature of the human body. Similarly, medical trainers and practitioners recognize the dynamism of the body; therefore, they cannot always provide discrete, static portraits of the anatomy or quantitatively convey degrees of pain. Therefore, both developers and users must appreciate the parameters and the tasks that each one encounters to best facilitate a seamless mode of information transmission. In this chapter we introduce the current challenges of developing and engaging M&S in the MHSs. We present the role of M&S as two complementary activities in health care studies: the development of tools and the training and use of those tools. An introductory overview of these concepts is a good place to start.

MODELING AND SIMULATION IN THE MEDICAL AND HEALTH SCIENCES

The M&S body of knowledge is expanding as interest in the discipline and application of models and simulations increases. The academic programs in which the core curriculum of M&S is taught are found in the engineering and computer science departments. These disciplines dominate the body of literature, which is grounded in mathematics, engineering, and computer science. As M&S applications and user friendliness increases, so will student (and user) interest. For many students M&S serves as a way to explore hypotheses and serves as a training tool. This has also been the case with students studying medicine and health sciences; the long history of medical modeling is proof of that.

There is, however, a growing concern that a lack of understanding exists on the part of the MHS student when using M&S solely as a training tool. This deficiency creates a void in understanding the theoretical underpinnings of the M&S. Conversely, engineering students as M&S developers must appreciate the fact that acceptance of medical applications of M&S depends on such issues as performance, robustness, and accuracy—attributes that require medical expertise and/or input at the development stage. A cursory review of the MHS M&S literature sheds light on the fact that a gap exists in the scholarship that disconnects developer and user.

As a whole, the MHS M&S body of knowledge is comprised of books, journals, and conference proceedings that span both the development and application sides of the domain. Probably the most complete MHS M&S subarea in the literature is the technical–developer community responsible for visualization and imaging. Academic training for visualization and imaging is generally found in the electrical and computer engineering and/or computer science disciplines, both of which have been perfecting the development of visualization and imaging technology. In fact, there is a long tradition of scientists and engineers who illustrate their work with graphics that include anatomical illustrations and computer images to provide representations to store three-dimensional geometry and efficient algorithms that render these representations. Other developer-side contributions to the body of literature include subareas such as biomedical and devices and systems: technology and informatics, which speak to computational intelligence and medical simulation as well as to developing next-generation tools for medical education and patient care.

Biomedical engineering is the application of engineering concepts and techniques to problems in medicine and health care. This is a relatively new domain with typical applications in prosthetics, medical instruments, diagnostic software, and imaging equipment. Computational intelligence techniques consist of computing algorithms and learning machines, including neural networks, fuzzy logic, and genetic algorithms. One such study designed for graduate-level students is the 2008 Begg et al. text discussing state-of-the-art applications of computational intelligence in cardiology, electromyography, electrocephalography, movement science, and biomechanics [2]. Numerous biomedical handbooks are available. A notable text is Medical Devices and Systems edited by Bronzino [3], which introduces the term clinical engineer. These engineers are closely aligned with biomedical engineers, whose primary focus areas include the development of biocompatible prostheses; various diagnostic and therapeutic medical devices such as clinical equipment to microimplants; common imaging equipment such as MRIs and EEGs; biotechnologies such as regenerative tissue growth; and pharmaceutical drugs and biopharmaceuticals. Clinical engineers also apply electrical, mechanical, chemical, optical, and engineering principles to understand, modify, or control biologic systems; and they assist in diagnosis and treatment.

Also found on the user–educator side of the body of knowledge is a significant series entitled Medicine Meets Virtual Reality [4–6]. These edited volumes of short papers present different approaches to and uses of simulation. As a whole the series is committed to knowledge sharing and building bridges via breakthrough applications in simulation, visualization, robotics, and informatics as well as experiences between physicians in all specialties, scientists in various disciplines, educators, and even commercial entities that serve as retailers of this technology. This bridge building is significant and necessary. Additionally, the series includes cognitive and behavioral assessments derived from simulation trials used for examining a variety of scenarios, ranging from enhancing dental treatment processes to examining schizophrenia.

Among the numerous essays in the Westwood et al. volumes is one of special interest to M&S educators, as it explains the need to develop body of knowledge repositories and commonly agreed upon definitions for the medical M&S vocabulary. In “Visualizing the Medical Modeling and Simulation Database: Trends in the Research Literature,” the authors, Combs and Walia, present a structured categorization of the literature (choosing to bin it into eight categories) as well as general terminology that can serve as a baseline for a common lexicon, such as procedural simulation and telemedicine [4].

All students of MHS M&S need to stay current with this expanding body of literature to understand the basic theoretical underpinnings of M&S technology and the new tools available to practitioners. These tools include engineered devices such as the cochlear implant, the defibrillator, and the pacemaker, as well as novel applications stemming from the field of biomechatronics, which merges humans with machines. Robotics is also providing innovative approaches to the human–machine interface as well as in clinical procedures. Computer-based M&S has led the development of training simulations where medical practitioners can hone their skills and expand their experience through the use of haptic devices, digital models, and imaging capability.

The body of literature draws attention to the divide or gap that exists between the technical engineer who develops M&S tools and the practitioner who applies the methods. Therein lies the challenge: to balance of both worlds. Students who master the challenge will have accomplished a necessary, meaningful, and useful contribution to these disciplines. A good place to start that mastery is a basic understanding of the terminology and concepts relevant to the study of M&S in the MHSs.

Definition of Basic Terms and Concepts

Throughout this book the reader will be introduced to a number of terms and concepts in the MHS domain. Appropriate for this chapter is a brief introduction to some of these terms and concepts, beginning with the fundamental modes of M&S and the general nature of the model itself. (See Chapter 2 for a detailed review of this information.)

The discipline of M&S and the use of M&S applications is grounded primarily on analysis, experimentation, and training. Analysis refers to the investigation of a model’s behavior. Experimentation occurs when the behavior of the model changes under conditions that exceed the design boundaries of the model. Training is the development of knowledge, skills, and abilities obtained as one operates the system represented by the model. There are three modes of M&S—live, virtual, and constructive—and they are the same no matter what discipline makes use of M&S. Any discussion of these modes should originate from the discipline of the M&S perspective. This facilitates the establishment of a common terminology. It also relates this terminology to concepts found in the MHS domains to help bridge the gap between developers and MHS practitioners. First, there is the live mode approach, the concept of using real (live) people employing real equipment for training purposes. Next, the virtual mode, which is perhaps the most fascinating, as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at breakneck speed. In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability. Finally, there is the constructive mode, used as a means of engaging MHS M&S. In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes.

All modeling originates from a theoretical perspective, and it evolves from a conceptual model. The nature of the model can be computational or physical. Computational models exist in a purely mathematical form such as a series of equations, or in an algorithmic form implemented in a digital computer. Physical models can be manikins that contain representations of human anatomy used for the purpose of practicing surgical or diagnostic procedures. Computational and physical models directly support the three modes of M&S. However, computational models are most closely associated with the constructive mode, whereas physical models are commonly engaged in a virtual mode. (These modeling natures are discussed in detail in Chapters 3 and 4.)

It is important that developers of MHS M&S understand the modes and the nature (or origin) of a model. This information is necessary in determining what type of model would best serve for MHS training or as a practitioner’s tool. Training and tools are the two primary categories in which many MHS applications of M&S can be found.

Modeling and Simulation Applications

Generally speaking, the application of models and simulations are found in two broad areas. The first area is research, which encompasses such things as humans as models, human systems modeling, and disease modeling. Humans as models makes use of real people so that they can portray or mimic particular disease symptoms to provide an interactive diagnosis training experience for MHS students and professionals. Naturally, this type of modeling is included in the live mode. (This type of modeling is discussed in detail in Chapter 5). Conversely, human systems modeling introduces analytical and computational methods to model and simulate medical principles as a way of understanding how the organ systems control functions of the body. This type of modeling is interdisciplinary, as it makes use of expertise from numerous disciplines, such as biology, mathematics, and computer science. (This topic is reviewed in detail in Chapter 6.)

The second area is usage and education, such as in training and patient care. The use of mechanical means to facilitate less invasive surgical procedures—robotics—is discussed in Chapter 7. Much of the M&S education in an MHS relies on current tools that are used primarily as training applications: for example, a fully immersive virtual operating room fitted with a simulated patient and both real and simulated equipment. The operating room is designed to provide training in judgment and decision m...

Table of contents

• Cover
• Half Title page
• Title page
• Copyright page
• Dedication
• Contributors
• Foreword
• Preface
• Part One: Fundamentals of Medical and Health Sciences Modeling and Simulation
• Part Two: Modeling for the Medical and Health Sciences
• Part Three: Modeling and Simulation Applications
• Appendix: Modeling Human Behavior, Modeling Human Systems: Addressing the Skepticism, Responding to the Reservations
• Index