具体描述
Enrich your understanding of the nursing profession with this comprehensive overview of the nurse's role in today's healthcare environment. Focusing on the skills needed in real-world application, Concepts of the Nursing Profession will engage you through discussion of the foundations, current environment, and future of nursing as well as a look at the various roles of the professional nurse. Whether you are new to nursing or taking the step from RN to BSN, Concepts of the Nursing Profession will equip you with a thorough understanding of the role of today's nurse.
Nursing Informatics: Bridging Clinical Practice and Technology A Comprehensive Guide to Navigating the Digital Healthcare Landscape Authors: Dr. Eleanor Vance, RN, DNP; Professor David Chen, PhD, MS, RN-BC Foreword by: Dr. Anita Sharma, Chief Nursing Information Officer, Global Health Systems --- Book Overview In an era defined by rapid technological advancement, the role of nursing has irrevocably shifted toward the digital frontier. Nursing Informatics: Bridging Clinical Practice and Technology is not merely a textbook; it is an essential roadmap for the contemporary nurse, informatics specialist, and healthcare leader tasked with optimizing patient care delivery through the strategic application of information science and technology. This definitive volume moves beyond the foundational concepts of electronic health records (EHRs) to explore the intricate interplay between clinical workflows, data security, system interoperability, and evidence-based practice enhancement. It systematically dissects the theoretical underpinnings of informatics—from semantic interoperability to human-computer interaction—and grounds these concepts firmly within the realities of acute care, community health, and specialized practice settings. The book is structured to guide the reader from a general understanding of health data management to the advanced competencies required for system implementation, policy development, and driving clinical decision support (CDS) innovation. It emphasizes the critical role of the nurse as the primary architect and advocate for technology adoption that genuinely supports, rather than hinders, the delivery of compassionate, high-quality patient care. Key Features and Content Depth Part I: Foundations of Nursing Informatics and the Data Ecosystem This section establishes the conceptual framework necessary to understand modern healthcare information systems. The Evolution of Healthcare Data: Tracing the journey from paper charting to sophisticated, integrated data warehouses. Detailed analysis of the shift from transactional data capture to actionable clinical intelligence. Theoretical Models in Informatics: In-depth examination of core models, including the DIKW pyramid (Data, Information, Knowledge, Wisdom), Peplau's Interpersonal Relations Theory as applied to human-system interaction, and Rogers’ Diffusion of Innovations theory in the context of clinical technology adoption. Standardized Terminologies and Data Quality: A rigorous dive into standardized vocabularies essential for interoperability and research: SNOMED CT, LOINC, CPT, and ICD-10/11. Focus on principles of data governance, integrity, and methods for auditing data quality within EHRs to ensure patient safety. Legal, Ethical, and Regulatory Compliance: Comprehensive coverage of HIPAA regulations, HITECH Act implications, and international data privacy standards (e.g., GDPR relevance). Exploration of ethical dilemmas arising from predictive analytics, algorithm bias, and data sharing for public health surveillance. Part II: Information Systems in Clinical Practice This section provides a functional breakdown of the technologies nurses directly interact with and manage daily. Electronic Health Records (EHR/EMR) Mastery: Detailed analysis of the architecture, strengths, and limitations of leading enterprise-level EHR systems. Focus on optimizing workflow integration, managing downtime procedures, and ensuring user adoption through effective training protocols. Clinical Decision Support Systems (CDSS): Examination of alert fatigue mitigation strategies. Discussion on the development, validation, and integration of evidence-based alerts, order sets, and best-practice reminders directly into the provider workflow, emphasizing alert stewardship. Interoperability and Health Information Exchange (HIE): Explaining the technical standards (HL7 FHIR, DICOM) that enable seamless data exchange across disparate healthcare organizations. Case studies illustrating successful regional and national HIE implementations and the challenges of legacy system integration. Telehealth and Remote Patient Monitoring (RPM): A thorough exploration of virtual care modalities. This includes platform selection criteria, reimbursement models, managing asynchronous versus synchronous care delivery, and the informatics required to integrate biometric data streams from RPM devices securely into the patient record. Part III: Informatics for Quality Improvement and Innovation This advanced section focuses on leveraging data for strategic organizational improvement and future system development. Data Visualization and Analytics for Outcomes: Instruction on transforming raw clinical data into meaningful dashboards and reports for quality committees, leadership, and frontline staff. Techniques for measuring process compliance, analyzing readmission drivers, and utilizing population health metrics derived from EHR data. Usability and Human Factors Engineering in System Design: Applying cognitive science principles to interface design. Detailed methods for conducting heuristic evaluations and think-aloud studies to identify usability barriers that contribute to errors or charting inefficiency. Emphasis on designing systems for diverse user populations, including nurses with varying levels of technological proficiency. Project Management for Informatics Implementation: A step-by-step guide covering the full lifecycle of a major system implementation (e.g., CPOE rollout, new module integration). Covers vendor selection, rigorous pre-implementation testing (unit, integrated, and stress testing), change management strategies specific to clinical environments, and post-go-live support optimization. The Future Landscape: Artificial Intelligence (AI) and Predictive Modeling in Nursing: A critical look at emerging technologies. Exploring the application of machine learning in areas such as sepsis prediction, early identification of patient deterioration (e.g., automated early warning scores), and optimized staffing models. Includes a crucial discussion on ensuring clinical validity and ethical oversight of autonomous decision-making tools. Target Audience This text is indispensable for: Graduate Nursing Students specializing in Informatics, Health Administration, or Advanced Practice roles. Current Nursing Informatics Specialists seeking to deepen their knowledge in system governance and advanced analytics. Clinical Nurse Leaders and Educators responsible for staff competency and technology optimization. Healthcare IT Professionals aiming to bridge the gap between technical development and frontline clinical realities. Authoritative Endorsements “Vance and Chen have provided the definitive text bridging the gap between abstract information science and the tangible, minute-by-minute realities of patient care. The depth of coverage on interoperability standards alone makes this book essential reading for any informatics practitioner.” — Dr. Marcus Holloway, Former Chief Medical Information Officer, Metropolitan Health Network “This work masterfully addresses the core challenge facing modern healthcare: how to harness the power of data without losing the humanity of nursing. Their chapters on usability and ethical AI integration are particularly vital for guiding the next generation of clinical system design.” — Professor Ingrid Holm, Director, Center for Digital Health Policy
