What is nursing informatics pdf

DQ-W2 - NURSING INFORMATIC

Discussion: Interaction Between Nurse Informaticists and Other Specialists

Nature offers many examples of specialization and collaboration. Ant colonies and bee hives are but two examples of nature’s sophisticated organizations. Each thrives because their members specialize by tasks, divide labor, and collaborate to ensure food, safety, and general well-being of the colony or hive.

Of course, humans don’t fare too badly in this regard either. And healthcare is a great example. As specialists in the collection, access, and application of data, nurse informaticists collaborate with specialists on a regular basis to ensure that appropriate data is available to make decisions and take actions to ensure the general well-being of patients.

In this Discussion, you will reflect on your own observations of and/or experiences with informaticist collaboration. You will also propose strategies for how these collaborative experiences might be improved.

To Prepare:

Review the Resources and reflect on the evolution of nursing informatics from a science to a nursing specialty.

Consider your experiences with nurse Informaticists or technology specialists within your healthcare organization

Post a description of experiences or observations about how nurse informaticists and/or data or technology specialists interact with other professionals within your healthcare organization. Suggest at least one strategy on how these interactions might be improved. Be specific and provide examples. Then, explain the impact you believe the continued evolution of nursing informatics as a specialty and/or the continued emergence of new technologies might have on professional interactions.

Required Readings

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

· Chapter 25, “The Art of Caring in Technology-Laden Environments” (pp. 525–535)

· Chapter 26, “Nursing Informatics and the Foundation of Knowledge” (pp. 537–551)

American Nurses Association. (2018). Inclusion of recognized terminologies supporting nursing practice within electronic health records and other health information technology solutions. Retrieved from https://www.nursingworld.org/practice-policy/nursing-excellence/official-position-statements/id/Inclusion-of-Recognized-Terminologies-Supporting-Nursing-Practice-within-Electronic-Health-Records/

Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf

Macieria, T. G. R., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: A systematic review. AMIA Annual Symposium Proceedings, 2017, 1205–1214. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/

Office of the National Coordinator for Health Information Technology. (2017). Standard nursing terminologies: A landscape analysis. Retrieved from https://www.healthit.gov/sites/default/files/snt_final_05302017.pdf

Rutherford, M. A. (2008). Standardized nursing language: What does it mean for nursing practice? Online Journal of Issues in Nursing, 13(1), 1–12. doi:10.3912/OJIN.Vol13No01PPT05.

Note: You will access this article from the Walden Library databases.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Wang, Y. Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3–13. doi:10.1016/j.techfore.2015.12.019.

Note: You will access this article from the Walden Library databases.

Required Media

Laureate Education (Executive Producer). (2012). Data, information, knowledge and wisdom continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://mym.cdn.laureate-media.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html

Public Health Informatics Institute. (2017). Public Health Informatics: “shipping” information for better health [Video file]. Retrieved from https://www.youtube.com/watch?v=q1gNQ9dm0zg.

Public Health Informatics Institute. (2017). Public Health Informatics: knowledge “architecture” [Video file]. Retrieved from https://www.youtube.com/watch?v=sofmUeQkMLU.

FOURTH EDITION

NURSING INFORMATICS and the Foundation of Knowledge

The Pedagogy Nursing Informatics and the Foundation of Knowledge, Fourth Edition drives comprehension through a variety of strategies geared toward meeting the learning needs of students, while also generating enthusiasm about the topic. This interactive approach addresses diverse learning styles, making this the ideal text to ensure mastery of key concepts. The pedagogical aids that appear in most chapters include the following:

Key Terms » Accessibility » Cognitive activity » Data » Data gatherer » Enumerative

approach » Expert systems

» Industrial Age » Information » Information Age » Information user » International

Classification of Nursing Practice

» Knowledge » Knowledge

builder » Knowledge user » Knowledge worker » Ontological

approach

» Reusability » Standardized Nurs-

ing Terminology » Technologist » Terminology » Ubiquity » Wisdom

1. Trace the evolution of nursing informatics from concept to specialty practice.

2. Relate nursing informatics metastructures, con- cepts, and tools to the knowledge work of nursing.

3. Explore the quest for consistent terminology in nursing and describe terminology approaches that

accurately capture and codify the contributions of nursing to health care.

4. Explore the concept of nurses as knowledge workers.

5. Explore how nurses can create and derive clinical knowledge from information systems.

Objectives

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Introduction Those who followed the actual events of Apollo 13, or who were enter- tained by the movie (Howard, 1995), watched the astronauts strive against all odds to bring their crippled spaceship back to Earth. The speed of their travel was incomprehensible to most viewers, and the task of bringing the spaceship back to Earth seemed nearly impossible. They were experienc- ing a crisis never imagined by the experts at NASA, and they made up their survival plan moment by moment. What brought them back to Earth safely? Surely, credit must be given to the technology and the spaceship’s ability to withstand the trauma it experienced. Most amazing, however, were the traditional nontechnological tools, skills, and supplies that were used in new and different ways to stabilize the spacecraft’s environment and keep the astronauts safe while traveling toward their uncertain future.

This sense of constancy in the midst of change serves to stabilize experi- ence in many different life events and contributes to the survival of crisis and change. This rhythmic process is also vital to the healthcare system’s stability and survival in the presence of the rapidly changing events of the Knowledge Age. No one can dispute the fact that the Knowledge Age is changing health care in ways that will not be fully recognized and under- stood for years. The change is paradigmatic, and every expert who ad- dresses this change reminds healthcare professionals of the need to go with the fl ow of rapid change or be left behind.

As with any paradigm shift, a new way of viewing the world brings with it some of the enduring values of the previous worldview. As health care continues its journey into digital communications, telehealth, and wearable technologies, it brings some familiar tools and skills recognized in the form of values, such as privacy, confi dentiality, autonomy, and nonma- lefi cence. Although these basic values remain unchanged, the standards for living out these values will take on new meaning as health professionals confront new and different moral dilemmas brought on by the adoption

Ethical applications of Informatics Dee McGonigle, Kathleen Mastrian, and Nedra Farcus

77

ChapTEr 5

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Key Terms Found in a list at the beginning of each chapter, studying these terms will create an expanded vocabulary.

Objectives Providing a snapshot of the key information encountered in each chapter, the objectives serve as a checklist to help guide and focus study. Objectives can also be found within the text’s online resources.

Introductions Found at the beginning of each chapter, the introductions provide an overview highlighting the importance of the chapter’s topic. They also help keep students focused as they read.

Key Terms » Artificial

intelligence » Brain » Cognitive

informatics » Cognitive science » Computer science

» Connectionism » Decision making » Empiricism » Epistemology » Human Mental

Workload (MWL) » Intelligence

» Intuition » Knowledge » Logic » Memory » Mind » Neuroscience » Perception

» Problem solving » Psychology » Rationalism » Reasoning » Wisdom

1. Describe cognitive science. 2. Assess how the human mind processes and gener-

ates information and knowledge.

3. Explore cognitive informatics. 4. Examine artificial intelligence and its relationship

to cognitive science and computer science.

Objectives

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Summaries Summaries are included at the end of each chapter to provide a concise review of the material covered, highlighting the most important points and describing what the future holds.

uncertainty to the situational factors and personal beliefs that must be considered cre- ates a need for an ethical decision-making model to help one choose the best action.

Ethical Decision Making Ethical decision making refers to the process of making informed choices about ethical dilemmas based on a set of standards differentiating right from wrong. This type of decision making reflects an understanding of the principles and standards of ethical decision making, as well as the philosophic approaches to ethical decision making, and it requires a systematic framework for addressing the complex and often contro- versial moral questions.

As the high-speed era of digital communications evolves, the rights and the needs of individuals and groups will be of the utmost concern to all healthcare profession- als. The changing meaning of communication, for example, will bring with it new concerns among healthcare professionals about protecting patients’ rights of confi- dentiality, privacy, and autonomy. Systematic and flexible ethical decision-making abilities will be essential for all healthcare professionals.

Notably, the concept of nonmaleficence (“do no harm”) will be broadened to include those individuals and groups whom one may never see in person, but with whom one will enter into a professional relationship of trust and care. Mack (2000)

82 ChapTEr 5 Ethical Applications of Informatics

rESEarCh BrIEF

Using an online survey of 1,227 randomly selected respondents, Bodkin and Miaoulis (2007) sought to describe the characteristics of information seekers on e-health websites, the types of information they seek, and their perceptions of the quality and ethics of the websites. Of the respondents, 74% had sought health in- formation on the Web, with women accounting for 55.8% of the health informa- tion seekers. A total of 50% of the seekers were between 35 and 54 years of age. Nearly two thirds of the users began their searches using a general search engine rather than a health-specific site, unless they were seeking information related to symptoms or diseases. Top reasons for seeking information were related to dis- eases or symptoms of medical conditions, medication information, health news, health insurance, locating a doctor, and Medicare or Medicaid information. The level of education of information seekers was related to the ratings of website quality, in that more educated seekers found health information websites more understandable, but were more likely to perceive bias in the website information. The researchers also found that the ethical codes for e-health websites seem to be increasing consumers’ trust in the safety and quality of information found on the Web, but that most consumers are not comfortable purchasing health products or services online.

The full article appears in Bodkin, C., & Miaoulis, G. (2007). eHealth information quality and ethics issues: An exploratory study of consumer perceptions. International Journal of Pharmaceuti- cal and Healthcare Marketing, 1(1), 27–42. Retrieved from ABI/INFORM Global (Document ID: 1515583081).

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practices are sometimes more harmful than beneficial). A case in point is the long-standing practice of instilling endotracheal tubes with normal saline before suctioning (O’Neal, Grap, Thompson, & Dudley, 2001). Based on the evidence gathered through several studies, the potentially deleterious effects of this practice have become widely recognized. Conceivably, a meta-analysis approach to clinical studies will be expedited by convergence of large clinical data repositories across care settings, thereby making available to practitioners the collective contribu- tions of health professionals and longitudinal outcomes for individuals, families, and populations.

Nurses need to be engaged in the design of CIS tools that support access to and the generation of nursing knowledge. As we have emphasized, the adoption of clini- cal data standards is of particular importance to the future design of CIS tools. We are also beginning to see the development and use of expert systems that implement knowledge automatically without human intervention. For example, an insulin pump that senses the patient’s blood glucose level and administers insulin based on those data is a form of expert system. The expert system differs from decision support tools in that the decision support tools require the human to act on the information pro- vided, whereas the expert system intervenes automatically based on an algorithm that directs the intervention. Consider that as CISs are widely implemented, as standards for nursing documentation and reporting are adopted, and as healthcare IT solutions continue to evolve, the synthesis of findings from a variety of methods and world- views becomes much more feasible.

BOX 6-3 CaSE STuDy: CaSTINg TO ThE FuTurE

In the year 2025, nursing practice enabled by technology has created a profes- sional culture of reflection, critical inquiry, and interprofessional collaboration. Nurses use technology at the point of care in all clinical settings (e.g., primary care, acute care, community, and long-term care) to inform their clinical deci- sions and effect the best possible outcomes for their clients. Information is gath- ered and retrieved via human–technology biometric interfaces including voice, visual, sensory, gustatory, and auditory interfaces, which continuously monitor physiologic parameters for potentially harmful imbalances. Longitudinal records are maintained for all citizens from their initial prenatal assessment to death; all lifelong records are aggregated into the knowledge bases of expert systems. These systems provide the basis of the artificial intelligence being embedded in emerging technologies. Smart technologies and invisible computing are ubiqui- tous in all sectors where care is delivered. Clients and families are empowered to review and contribute actively to their record of health and wellness. Invasive diagnostic techniques are obsolete, nanotechnology therapeutics are the norm, and robotics supplement or replace much of the traditional work of all health professions. Nurses provide expertise to citizens to help them effectively manage their health and wellness life plans, and navigate access to appropriate informa- tion and services.

122 ChaPEr 6 History and Evolution of Nursing Informatics

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The Future The future landscape is yet to be fully understood, as technology continues to evolve with a rapidity and unfolding that is rich with promise and potential peril. Box 6-3 helps us to imagine what future practice might entail. It is anticipated that computing power will be capable of aggregating and transforming additional multidimensional data and information sources (e.g., historical, multisensory, experiential, and genetic sources) into CIS. With the availability of such rich repositories, further opportunities will open up to enhance the training of health professionals, advance the design and application of CDSs, deliver care that is informed by the most current evidence, and engage with individuals and families in ways yet unimagined.

The basic education of all health professions will evolve over the next decade to incorporate core informatics competencies. In general, the clinical care environments will be connected, and information will be integrated across disciplines to the benefit of care providers and citizens alike. The future of health care will be highly dependent on the use of CISs and CDSs to achieve the global aspiration of safer, quality care for all citizens.

The ideal is a nursing practice that has wholly integrated informatics and nursing education and that is driven by the use of information and knowledge from a myriad of sources, creating practitioners whose way of being is grounded in informatics. Nursing research is dynamic and an enterprise in which all nurses are engaged by virtue of their use of technologies to gather and analyze findings that inform specific clinical situations. In every practice setting, the contributions of nurses to health and well-being of citizens will be highly respected and parallel, if not exceed, the preemi- nence granted physicians.

Summary In this chapter, we have traced the development of informatics as a specialty, defined nursing informatics, and explored the DIKW paradigm central to informatics. We also explored the need for and the development of standardized terminologies to capture and codify the work of nursing and how informatics supports the knowledge work of nursing. This chapter advanced the view that every nurse’s practice will make contributions to new nursing knowledge in dynamically interactive CIS environ- ments. The core concepts associated with informatics will become embedded in the practice of every nurse, whether administrator, researcher, educator, or practitioner. Informatics will be prominent in the knowledge work of nurses, yet it will be a sub- tlety because of its eventual fulsome integration with clinical care processes. Clinical care will be substantially supported by the capacity and promise of technology today and tomorrow.

Most importantly, readers need to contemplate a future without being limited by the world of practice as it is known today. Information technology is not a panacea for all of the challenges found in health care, but it will provide the nursing profes- sion with an unprecedented capacity to generate and disseminate new knowledge at rapid speed. Realizing these possibilities necessitates that all nurses understand and leverage the informatician within and contribute to the future.

Summary 123

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This text is designed to include the necessary content to prepare nurses for prac- tice in the ever-changing and technology-laden healthcare environments. Informatics competence has been recognized as necessary in order to enhance clinical decision making and improve patient care for many years. This is evidenced by Goossen (2000), who reflected on the need for research in this area and believed that the focus of nursing informatics research should be on the structuring and processing of patient information and the ways that these endeavors inform nursing decision mak- ing in clinical practice. The increased use of technology to enhance nursing practice, nursing education, and nursing research will open new avenues for acquiring, pro- cessing, generating, and disseminating knowledge.

In the future, nursing research will make significant contributions to the devel- opment of nursing science. Technologies and translational research will abound, and clinical practices will continue to be evidence based, thereby improving patient outcomes and decreasing safety concerns. Schools of nursing will embrace nursing science as they strive to meet the needs of changing student populations and the increasing complexity of healthcare environments.

Summary Nursing science influences all areas of nursing practice. This chapter provided an overview of nursing science and considered how nursing science relates to typical nursing practice roles, nursing education, informatics, and nursing research. The Foundation of Knowledge model was introduced as the organizing conceptual framework for this text. Finally, the relationship of nursing science to nursing informatics was discussed. In subsequent chapters the reader will learn more about how nursing informatics supports nurses in their many and varied roles. In an ideal world, nurses would embrace nursing science as knowledge users, knowledge managers, knowledge developers, knowledge engineers, and knowl- edge workers.

ThOUGhT-prOVOKING QUeSTIONS

1. Imagine you are in a social situation and someone asks you, “What does a nurse do?” Think about how you will capture and convey the richness that is nursing science in your answer.

2. Choose a clinical scenario from your recent experience and analyze it using the Foundation of Knowledge model. How did you acquire knowledge? How did you process knowledge? How did you generate knowledge? How did you dis- seminate knowledge? How did you use feedback, and what was the effect of the feedback on the foundation of your knowledge?

18 ChapTer 1 Nursing Science and the Foundation of Knowledge

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Research Briefs These summaries encourage students to access current research in the field.

Thought-Provoking Questions Students can work on these critical thinking assign­ ments individually or in a group. In addition, students can delve deeper into concepts by completing these exercises online.

Case Studies Case studies encourage active learning and promote critical think­ ing skills. Students can ask questions, analyze situations, and solve problems in a real­world context.

FOURTH EDITION

Dee McGonigle, PhD, RN, CNE, FAAN, ANEF Director, Virtual Learning Experiences (VLE) and Professor Graduate Program, Chamberlain College of Nursing Member, Informatics and Technology Expert Panel (ITEP) for the American Academy of Nursing

Kathleen Mastrian, PhD, RN Associate Professor and Program Coordinator for Nursing Pennsylvania State University, Shenango Sr. Managing Editor, Online Journal of Nursing Informatics (OJNI)

NURSING INFORMATICS and the Foundation of Knowledge

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Library of Congress Cataloging-in-Publication Data Names: McGonigle, Dee, editor. | Mastrian, Kathleen Garver, editor. Title: Nursing informatics and the foundation of knowledge/[edited by] Dee McGonigle, Kathleen Mastrian. Description: Fourth edition. | Burlington, MA: Jones & Bartlett Learning, [2018] | Includes bibliographical references and index. Identifiers: LCCN 2016043838 | ISBN 9781284121247 (pbk.) Subjects: | MESH: Nursing Informatics | Knowledge Classification: LCC RT50.5 | NLM WY 26.5 | DDC 651.5/04261--dc23

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Special Acknowledgments

We want to express our sincere appreciation to the staff at Jones & Bartlett Learning, especially Amanda, Christina, and Carolyn, for their continued encouragement, assistance, and support during the writing process and publication of our book.

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Preface xvi Acknowledgments xix Contributors xxi

SECTION I: BUILDING BLOCKS OF NURSING INFORMATICS 1

1 Nursing Science and the Foundation of Knowledge 7 Dee McGonigle and Kathleen Mastrian Introduction 7 Quality and Safety Education for Nurses 16 Summary 18 References 19

2 Introduction to Information, Information Science, and Information Systems 21 Kathleen Mastrian and Dee McGonigle Introduction 21 Information 22 Information Science 25 Information Processing 26 Information Science and the Foundation of Knowledge 27 Introduction to Information Systems 28 Summary 32 References 33

3 Computer Science and the Foundation of Knowledge Model 35 Dee McGonigle, Kathleen Mastrian, and June Kaminski Introduction 35 The Computer as a Tool for Managing Information and Generating Knowledge 36 Components 38 What Is the Relationship of Computer Science to Knowledge? 53 How Does the Computer Support Collaboration and Information Exchange? 54 Cloud Computing 57 Looking to the Future 59 Summary 61 Working Wisdom 61 Application Scenario 62 References 62

Contents

viii

4 Introduction to Cognitive Science and Cognitive Informatics 65 Kathleen Mastrian and Dee McGonigle Introduction 65 Cognitive Science 65 Sources of Knowledge 68 Nature of Knowledge 69 How Knowledge and Wisdom Are Used in Decision Making 69 Cognitive Informatics 70 Cognitive Informatics and Nursing Practice 71 What Is AI? 72 Summary 73 References 74

5 Ethical Applications of Informatics 77 Dee McGonigle, Kathleen Mastrian, and Nedra Farcus Introduction 77 Ethics 78 Bioethics 79 Ethical Issues and Social Media 80 Ethical Dilemmas and Morals 81 Ethical Decision Making 82 Theoretical Approaches to Healthcare Ethics 83 Applying Ethics to Informatics 86 Case Analysis Demonstration 91 New Frontiers in Ethical Issues 95 Summary 96 References 97

SECTION II: PERSPECTIVES ON NURSING INFORMATICS 99

6 History and Evolution of Nursing Informatics 105 Kathleen Mastrian and Dee McGonigle Introduction 105 The Evolution of a Specialty 106 What Is Nursing Informatics? 108 The DIKW Paradigm 109 Capturing and Codifying the Work of Nursing 112 The Nurse as a Knowledge Worker 117 The Future 123 Summary 123 References 124

7 Nursing Informatics as a Specialty 127 Dee McGonigle, Kathleen Mastrian, Julie A. Kenney, and Ida Androwich Introduction 127 Nursing Contributions to Healthcare Informatics 127

Contents ix

Scope and Standards 128 Nursing Informatics Roles 129 Specialty Education and Certification 131 Nursing Informatics Competencies 133 Rewards of NI Practice 138 NI Organizations and Journals 138 The Future of Nursing Informatics 139 Summary 141 References 142

8 Legislative Aspects of Nursing Informatics: HITECH and HIPAA 145 Kathleen M. Gialanella, Kathleen Mastrian, and Dee McGonigle Introduction 145 HIPAA Came First 145 Overview of the HITECH Act 148 How a National HIT Infrastructure Is Being Developed 153 How the HITECH Act Changed HIPAA 154 Implications for Nursing Practice 161 Future Regulations 165 Summary 165 References 166

SECTION III: NURSING INFORMATICS ADMINISTRATIVE APPLICATIONS: PRECARE AND CARE SUPPORT 169

9 Systems Development Life Cycle: Nursing Informatics and Organizational Decision Making 175 Dee McGonigle and Kathleen Mastrian Introduction 175 Waterfall Model 178 Rapid Prototyping or Rapid Application Development 180 Object-Oriented Systems Development 181 Dynamic System Development Method 181 Computer-Aided Software Engineering Tools 184 Open Source Software and Free/Open Source Software 184 Interoperability 185 Summary 186 References 187

10 Administrative Information Systems 189 Marianela Zytkowski, Susan Paschke, Kathleen Mastrian, and Dee McGonigle Introduction 189 Types of Healthcare Organization Information Systems 190 Communication Systems 190 Core Business Systems 191 Order Entry Systems 193 Patient Care Support Systems 194

x Contents

Interoperability 195 Aggregating Patient and Organizational Data 197 Department Collaboration and Exchange of Knowledge and Information 202 Summary 203 References 204

11 The Human–Technology Interface 207 Dee McGonigle, Kathleen Mastrian, and Judith A. Effken Introduction 207 The Human–Technology Interface 208 The Human–Technology Interface Problem 211 Improving the Human–Technology Interface 212 A Framework for Evaluation 221 Future of the Human–Technology Interface 221 Summary 223 References 224

12 Electronic Security 229 Lisa Reeves Bertin, Kathleen Mastrian, and Dee McGonigle Introduction 229 Securing Network Information 229 Authentication of Users 231 Threats to Security 232 Security Tools 237 Offsite Use of Portable Devices 238 Summary 241 References 242

13 Workflow and Beyond Meaningful Use 245 Dee McGonigle, Kathleen Mastrian, and Denise Hammel-Jones Introduction 245 Workflow Analysis Purpose 245 Workflow and Technology 249 Workflow Analysis and Informatics Practice 251 Informatics as a Change Agent 256 Measuring the Results 258 Future Directions 259 Summary 260 References 261

SECTION IV: NURSING INFORMATICS PRACTICE APPLICATIONS: CARE DELIVERY 263

14 The Electronic Health Record and Clinical Informatics 267 Emily B. Barey, Kathleen Mastrian, and Dee McGonigle Introduction 267 Setting the Stage 268

Contents xi

Components of Electronic Health Records 269 Advantages of Electronic Health Records 274 Standardized Terminology and the EHR 278 Ownership of Electronic Health Records 280 Flexibility and Expandability 283 Accountable Care Organizations and the EHR 285 The Future 285 Summary 287 References 287

15 Informatics Tools to Promote Patient Safety and Quality Outcomes 293 Dee McGonigle and Kathleen Mastrian Introduction 293 What Is a Culture of Safety? 294 Strategies for Developing a Safety Culture 296 Informatics Technologies for Patient Safety 301 Role of the Nurse Informaticist 313 Summary 315 References 317

16 Patient Engagement and Connected Health 323 Kathleen Mastrian and Dee McGonigle Introduction 323 Consumer Demand for Information 324 Health Literacy and Health Initiatives 325 Healthcare Organization Approaches to Engagement 327 Promoting Health Literacy in School-Aged Children 329 Supporting Use of the Internet for Health Education 330 Future Directions for Engaging Patients 335 Summary 337 References 338

17 Using Informatics to Promote Community/Population Health 341 Dee McGonigle, Kathleen Mastrian, Margaret Ross Kraft, and Ida Androwich Introduction 341 Core Public Health Functions 343 Community Health Risk Assessment: Tools for Acquiring Knowledge 345 Processing Knowledge and Information to Support Epidemiology and Monitoring Disease Outbreaks 347 Applying Knowledge to Health Disaster Planning and Preparation 349 Informatics Tools to Support Communication and Dissemination 350 Using Feedback to Improve Responses and Promote Readiness 351 Summary 353 References 355

xii Contents

18 Telenursing and Remote Access Telehealth 359 Original contribution by Audrey Kinsella, Kathleen Albright, Sheldon Prial, and Schuyler F. Hoss; revised by Kathleen Mastrian and Dee McGonigle Introduction 359 The Foundation of Knowledge Model and Home Telehealth 359 Nursing Aspects of Telehealth 361 History of Telehealth 362 Driving Forces for Telehealth 363 Telehealth Care 366 Telenursing 370 Telehealth Patient Populations 372 Tools of Home Telehealth 375 Home Telehealth Software 378 Home Telehealth Practice and Protocols 380 Legal, Ethical, and Regulatory Issues 381 The Patient’s Role in Telehealth 382 Telehealth Research 383 Evolving Telehealth Models 385 Parting Thoughts for the Future and a View Toward What the Future Holds 386 Summary 387 References 388

SECTION V: EDUCATION APPLICATIONS OF NURSING INFORMATICS 393

19 Nursing Informatics and Nursing Education 397 Heather E. McKinney, Sylvia DeSantis, Kathleen Mastrian, and Dee McGonigle Introduction: Nursing Education and the Foundation of Knowledge Model 397 Knowledge Acquisition and Sharing 398 Evolution of Learning Management Systems 398 Delivery Modalities 400 Technology Tools Supporting Education 405 Internet-Based Tools 413 Promoting Active and Collaborative Learning 420 Knowledge Dissemination and Sharing 423 Exploring Information Fair Use and Copyright Restrictions 426 The Future 427 Summary 428 References 429

20 Simulation, Game Mechanics, and Virtual Worlds in Nursing Education 433 Dee McGonigle, Kathleen Mastrian, Brett Bixler, and Nickolaus Miehl Introduction 433 Simulation in Nursing Informatics Education 434 Nursing Informatics Competencies in Nursing Education 436 A Case for Simulation in Nursing Informatics Education and Nursing Education 437

Contents xiii

Incorporating EHRs into the Learning Environment 441 Challenges and Opportunities 445 The Future of Simulation in Nursing Informatics Education 445 Game Mechanics and Virtual World Simulation for Nursing Education 446 Game Mechanics and Educational Games 448 Virtual Worlds in Education 450 Choosing Among Simulations, Educational Games, and Virtual Worlds 451 The Future of Simulations, Games, and Virtual Worlds in Nursing Education 452 Summary 453 References 454

SECTION VI: RESEARCH APPLICATIONS OF NURSING INFORMATICS 459

21 Nursing Research: Data Collection, Processing, and Analysis 463 Heather E. McKinney, Sylvia DeSantis, Kathleen Mastrian, and Dee McGonigle Introduction: Nursing Research and the Foundation of Knowledge Model 463 Knowledge Generation Through Nursing Research 464 Acquiring Previously Gained Knowledge Through Internet and Library Holdings 466 Fair Use of Information and Sharing 468 Informatics Tools for Collecting Data and Storage of Information 469 Tools for Processing Data and Data Analysis 471 The Future 473 Summary 473 References 474

22 Data Mining as a Research Tool 477 Dee McGonigle and Kathleen Ma