Health Informatics: An Interprofessional Approach was awarded first place in the 2013 AJN Book of the Year Awards in the Information Technology/Informatics category. Get on the cutting edge of informatics with Health Informatics, An Interprofessional Approach. Covering a wide range of skills and systems, this unique title prepares you for work in today's technology-filled clinical field. Topics include clinical decision support, clinical documentation, provider order entry systems, system implementation, adoption issues, and more. Case studies, abstracts, and discussion questions enhance your.

Controls for Patient Factors.

Front cover; Inside front cover; Dedication; Health Informatics; Copyright page; About the Authors; Contributors; Reviewers and Ancillary Writers; Preface; Uses of the Book; Vendors, Applications, Institutions, etc.; Organization of the Book; Teaching and Learning Package; For the Instructor; For the Student; Acknowledgements; Table of Contents; Unit 1 Background and Foundational Information; 1 Introduction: The Evolution of Health Informatics; Objectives; Key Terms; Abstract; Introduction; The Roots of Informatics within the Computer and Information Sciences; Computer Science. Information ScienceHealth Informatics; Establishing the Specialty of Health Informatics; Books; Journals; Professional Organizations; Educational Programs; Certification; Recognition of the Specialty; Naming the Specialty-Naming the Discipline; Conclusion and Future Directions; References; Discussion Questions; Case Study; Discussion Questions; 2 Theoretical Foundations of Health Informatics; Objectives; Key Terms; Abstract; Introduction; Theories and Models Underlying Health Informatics; Systems Theory; Characteristics of Systems; Systems and the Change Process; Chaos Theory. Complexity TheoryInformation Theory; Shannon-Weaver Information-Communication Model; Blum Model; Graves Model; Nelson Model; Learning Theory; Cognitive and Constructionist Learning Theories; Adult Learning Theories; Learning Styles; Change Theory; Planned Change; Diffusion of Innovation; Using Change Theory; The Systems Life Cycle Model; Staggers and Nelson Systems Life Cycle Model (SLCM); Additional Informatics-Related Models; Conclusion and Future Directions; References; Discussion Questions; Case Study; Discussion Questions; 3 Evidence-Based Practice and Informatics; Objectives. Key TermsAbstract; Introduction; Evidence-Based Practice (EBP) Models; ACE Star Model of Knowledge Transformation; Point 1: Discovery Research; Point 2: Evidence Summary; Resources and Examples; Point 3: Translation to Guidelines; Resources and Examples; Point 4: Practice Integration; Resources and Examples; Point 5: Evaluation; Resources and Examples; Conclusion and Future Directions; References; Discussion Questions; Case Study; Discussion Questions; 4 Knowledge Discovery, Data Mining, and Practice-Based Evidence; Objectives; Key Terms; Abstract; Introduction. Research Designs for Knowledge DiscoveryEHRs and Knowledge Discovery; Knowledge Building Using Health IT; Knowledge Discovery and Data Mining; Retrieving a Dataset for Analysis; Preprocessing Clinical Data; Preprocessing Text Data; Preprocessing Coded (Structured) Data; Sampling and Partitioning; Data Mining; Statistical Approaches; Machine Learning; Evaluating Data Mining Models; Practice-Based Evidence; PBE Features and Challenges; Steps in a PBE Study; Create a Multisite, Multidisciplinary Project Clinical Team (PCT); Control for Differences in Patient Severity of Illness.