DNP 8300: Technology in Health CareCourse Description

This doctoral-level course prepares advanced practice nurses and nurse leaders to critically evaluate, implement, and lead the integration of health information technologies to transform healthcare delivery, improve patient outcomes, enhance population health, and optimize system performance. Students explore the intersection of nursing science, computer science, and information science, focusing on the use of informatics tools, data analytics, emerging technologies, and patient care technologies to support evidence-based practice, quality improvement, and safe, efficient care across diverse settings and populations. Key topics include electronic health records (EHRs) and health information exchanges, telehealth and remote monitoring, clinical decision support systems, big data and predictive analytics, artificial intelligence (AI) and machine learning applications in healthcare, cybersecurity and data privacy, ethical and legal considerations, human factors in technology adoption, workflow optimization, and the DNP’s role in leading technology initiatives and evaluating their impact on healthcare transformation. Emphasis is placed on strategic leadership, interprofessional collaboration, and addressing equity, usability, and barriers to technology adoption in real-world clinical and organizational contexts. Prerequisites: Admission to the DNP program or instructor permission.
Format: Seminar-style with online/hybrid components, readings, discussions, case analyses, and applied projects.
Course Learning Outcomes:
By the end of the course, students will be able to: Analyze the role of information systems and emerging technologies in supporting safe, high-quality, patient-centered care and healthcare system improvement.
Evaluate the design, implementation, and outcomes of health information technologies, including EHRs, telehealth, and AI-driven tools.
Apply informatics principles and data analytics to generate knowledge, inform decision-making, and drive quality improvement initiatives.
Critically examine ethical, legal, regulatory, security, and equity issues related to health technology use.
Demonstrate leadership in assessing technology needs, facilitating adoption, and mitigating barriers in interprofessional healthcare environments.
Develop strategies to optimize technology for population health, disparity reduction, and evidence-based practice translation.

Weekly Assignment Topics and Guides
The course spans 15 weeks (including orientation and final reflection). Assignments build progressively: foundational knowledge → application and analysis → synthesis and leadership application. Most weeks include required readings (e.g., peer-reviewed articles, AACN Essentials, HIMSS resources, ONC reports), discussion forums, and one major deliverable. Rubrics emphasize critical thinking, scholarly writing (APA 7th), evidence integration, and practical application to DNP practice.

Week 1: Course Orientation and Foundations of Health Informatics
Assignment: Self-assessment and introductory discussion.
Guide: Complete a self-assessment of your current informatics competencies (using a provided template or AACN Domain 8 indicators). Post a 300–500 word reflection on your experience with health technologies in practice and one personal learning goal for the course. Reply to at least two peers. (No formal paper; focus on baseline reflection.)

Week 2: History, Evolution, and Theoretical Foundations of Nursing Informatics
Assignment: Discussion + short concept map.
Guide: Discuss how nursing informatics theories (e.g., data-information-knowledge-wisdom framework) apply to modern healthcare challenges. Create a simple concept map linking informatics to DNP Essentials. Submit the map and a 400-word rationale.

Week 3: Electronic Health Records (EHRs) and Health Information Exchange (HIE)
Assignment: EHR evaluation paper (4–6 pages).
Guide: Select a common EHR system used in your practice setting. Evaluate its strengths, limitations, interoperability features, and impact on clinical workflow and patient safety using evidence from literature. Propose one improvement aligned with quality metrics.

Week 4: Clinical Decision Support Systems (CDSS) and Data Analytics
Assignment: Case analysis discussion.
Guide: Analyze a provided or self-selected case involving CDSS or predictive analytics (e.g., early warning scores or readmission risk models). Discuss benefits, potential biases, and recommendations for implementation in advanced nursing practice.

Week 5: Telehealth, Remote Monitoring, and Digital Health Tools
Assignment: Telehealth policy/implementation brief (5–7 pages).
Guide: Review current telehealth regulations and evidence on outcomes. Develop a brief proposing telehealth expansion for a specific population (e.g., rural, chronic disease management) in your practice area, addressing reimbursement, equity, and evaluation metrics.

Week 6: Big Data, Predictive Analytics, and Population Health Informatics
Assignment: Data application proposal (outline + 3–4 pages).
Guide: Identify a population health issue. Propose how big data or analytics tools could address it, including data sources, ethical considerations, and expected outcomes. Include a basic visualization or dashboard concept.

Week 7: Artificial Intelligence and Machine Learning in Healthcare
Assignment: AI impact analysis (6–8 pages).
Guide: Select an AI application (e.g., diagnostic imaging, chatbots, or predictive modeling). Critically analyze its potential benefits, risks (bias, explainability), ethical implications, and role for DNP leaders in oversight and integration. Support with recent literature.

Week 8: Cybersecurity, Data Privacy, and Ethical/Legal Issues
Assignment: Ethics case study + discussion.
Guide: Examine a real or hypothetical breach/privacy scenario. Apply ethical frameworks and regulations (e.g., HIPAA, GDPR implications). Recommend leadership strategies to safeguard data while promoting innovation.

Week 9: Human Factors, Usability, and Technology Adoption
Assignment: Workflow redesign proposal (midterm project component).
Guide: Map a current clinical workflow involving technology. Identify usability issues or barriers to adoption and propose evidence-based redesign strategies to improve efficiency and reduce errors.

Week 10: Interprofessional Collaboration and Change Management in Technology Implementation
Assignment: Stakeholder analysis and change plan (part of final project).
Guide: Develop a change management plan (using a model like Kotter’s or Rogers’ Diffusion of Innovations) for implementing a new technology in a healthcare setting. Identify key stakeholders and mitigation strategies for resistance.

Week 11: Evaluating Technology Outcomes and Quality Improvement
Assignment: Technology evaluation framework.
Guide: Create or adapt a framework (e.g., using Donabedian or RE-AIM) to evaluate the impact of a health technology on patient outcomes, cost, and satisfaction. Apply it hypothetically to a DNP project idea.

Week 12: Emerging Technologies and Future Trends (Wearables, Genomics Integration, Blockchain, etc.)
Assignment: Trend forecasting discussion + short paper.
Guide: Research one emerging technology. Discuss its implications for nursing practice, education, and leadership, including equity considerations for diverse populations.

Week 13: Leadership as a DNP in Health Technology
Assignment: Leadership reflection and strategy paper (8–10 pages).
Guide: Reflect on the DNP’s unique role in technology leadership. Develop a personal leadership strategy for advocating, implementing, or evaluating technology in your specialty area, aligned with organizational goals and DNP Essentials.

Week 14: Capstone Integration – Final Project Draft and Peer Review
Assignment: Draft of final synthesis project + peer feedback.
Guide: Synthesize course concepts into a comprehensive proposal for a technology-related quality improvement or systems change initiative suitable for a DNP project. Include needs assessment, literature support, implementation plan, and evaluation metrics.

Week 15: Course Synthesis, Reflection, and Future Directions
Assignment: Final project submission + reflective portfolio.
Guide: Submit the polished final project (12–15 pages or equivalent presentation format). Include a reflective essay on how the course has prepared you as a technology-savvy DNP leader and one actionable plan for ongoing professional development in informatics.

Grading Overview (example): Discussions (20%), Weekly assignments/reflections (30%), Midterm components (20%), Final project (25%), Participation/self-assessment (5%). Late policies and academic integrity standards apply per program guidelines.

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