Best Nursing Informatics Project Proposal Ideas for 2025

A nursing informatics project proposal is a structured document that outlines a research study or quality improvement initiative focused on the integration of nursing science, healthcare technology, and data management to enhance patient care, clinical decision-making, and nursing workflows. It serves as a blueprint for conducting a research project, guiding the research process, and securing approval from academic or institutional review boards. This guide presents Nursing Informatics Project Proposal Ideas that explore the role of nursing in healthcare informatics, electronic health records, telehealth, artificial intelligence, and much more.

Key Components of a Nursing Informatics Project Proposal

A well-structured nursing informatics project proposal typically includes the following sections:

1. Title Page

• Project Title: A concise, descriptive title that reflects the research focus (e.g., “Improving Patient Safety through AI-Driven Nursing Informatics Solutions”)
• Author(s): Name(s) of the researcher(s)
• Institution/Organization: The affiliated nursing school or healthcare institution
• Date of Submission

2. Abstract

• A brief summary (150-250 words) that includes:
  • Research problem you can use a picot question generator
  • Objective of the project
  • Methods to be used
  • Expected outcomes

3. Introduction and Background

• Overview of Nursing Informatics: Define nursing informatics and its significance in healthcare.
• Problem Statement: Describe the clinical or technological challenge the project will address.
• Research Justification: Explain why this project is important (e.g., improves patient safety, enhances efficiency, supports evidence-based practice).
• Current Gaps in Literature: Summarize previous studies and identify research gaps.

4. Research Objectives and Questions

• Clearly define the goals of the project. Examples:
  • “How can AI-driven clinical decision support systems improve nursing workflows?”
  • “What is the impact of EHR usability on nursing documentation errors?”
• Hypothesis (if applicable): A predicted relationship between variables (for quantitative studies).

5. Literature Review

• Summarize existing research related to the topic.
• Highlight key theories, frameworks, and methodologies used in prior studies.
• Identify trends, challenges, and best practices in nursing informatics.

6. Methodology

• Research Design: Will the study be qualitative, quantitative, or mixed-methods?
• Data Collection Methods:
  • Surveys, interviews, EHR data analysis, machine learning models, case studies, or clinical trials
• Data Sources:
  • Nurses, patients, healthcare professionals, hospital databases, or public health records
• Ethical Considerations:
  • Patient confidentiality, HIPAA compliance, IRB approval

7. Expected Outcomes and Impact

• Describe how the findings will benefit nursing practice, patient care, or hospital efficiency.
• Examples:
  • “This study aims to reduce medication errors by 30% through AI-powered alerts in EHRs.”
  • “The research will provide recommendations for improving telehealth documentation practices.”

8. Project Timeline

• A detailed schedule of project phases:
  • Literature review
  • Data collection
  • Analysis
  • Report writing

9. Budget (if applicable)

• Any costs for software, data collection tools, surveys, participant incentives, or training.

10. Conclusion

• A summary of the significance of the project and its potential contribution to nursing informatics.

11. References

• A list of scholarly articles, books, and sources used in the proposal.

Nursing Informatics Project Proposal Ideas on

Electronic Health Records (EHR) and Data Management

1. Enhancing EHR usability to improve nursing workflows
2. The impact of EHR data analytics on clinical decision-making
3. Reducing documentation burden for nurses through AI automation
4. Best practices for improving patient safety in electronic health records
5. Interoperability challenges in EHRs across healthcare settings
6. Using EHR alerts to prevent medication errors
7. The role of blockchain technology in EHR security
8. Comparing paper-based and digital health records for patient care efficiency
9. Evaluating the role of voice recognition technology in EHR documentation
10. Real-time clinical dashboards for monitoring patient health

II. Nursing Informatics and Artificial Intelligence (AI)

11. Using AI-powered nursing assistants to enhance patient outcomes
12. Implementing predictive analytics for early disease detection
13. Ethical concerns in AI-driven nursing decision support systems
14. AI-based fall risk assessment tools for elderly patients
15. Machine learning models for predicting hospital readmissions
16. AI-driven personalized treatment plans for chronic disease patients
17. How AI can help reduce nursing burnout through workflow automation
18. The role of chatbots and virtual assistants in nursing education
19. Implementing AI-driven triage systems in emergency nursing practice
20. AI and robot-assisted nursing care: Future implications

III. Telehealth and Remote Patient Monitoring

21. Effectiveness of telehealth in managing chronic diseases
22. The role of telehealth in reducing hospital readmissions
23. Wearable technology for real-time patient monitoring in nursing
24. Addressing health disparities through telehealth nursing
25. Tele-ICU programs and their impact on critical care nursing
26. Ethical concerns in telehealth documentation and patient data security
27. Improving nursing workflows with remote patient monitoring systems
28. Telehealth for mental health nursing: Opportunities and challenges
29. AI-powered chatbots in telehealth nursing support
30. Expanding access to healthcare in rural areas using telehealth solutions

IV. Cybersecurity and Data Privacy in Nursing Informatics

31. Protecting patient health records from cybersecurity threats
32. Cybersecurity training programs for nursing staff
33. The role of blockchain in securing healthcare data exchanges
34. Addressing ransomware attacks on hospital networks
35. Multi-factor authentication for secure patient portals
36. The impact of HIPAA compliance on nursing informatics practices
37. Nurses’ role in protecting patient data in cloud-based health systems
38. How biometric authentication can improve EHR security
39. Data breaches in healthcare: Prevention strategies for nurses
40. Digital identity management for secure access to patient records

V. Nursing Informatics in Clinical Decision Support Systems (CDSS)

41. CDSS for evidence-based practice in nursing
42. AI-powered CDSS for early detection of sepsis in ICU patients
43. Evaluating the accuracy of clinical decision support alerts
44. The role of CDSS in reducing medication prescribing errors
45. Integration of genomics data into CDSS for personalized nursing care
46. Improving clinical decision-making with real-time patient monitoring
47. Predictive analytics models for early detection of complications
48. CDSS for pediatric nursing and neonatal care
49. Automated CDSS tools for nursing education and training
50. Ethical implications of AI-driven clinical decision-making

VI. Healthcare Informatics and Nursing Education

51. Simulation-based training for nursing informatics students
52. Virtual reality (VR) and augmented reality (AR) in nursing education
53. The role of nursing informatics in continuing professional development
54. Gamification in nursing informatics training
55. E-learning platforms for nursing informatics education
56. Bridging the gap between nursing informatics theory and practice
57. The role of AI tutors in nursing informatics training
58. Personalized learning paths using informatics-driven education
59. How informatics literacy affects nursing practice competency
60. Informatics-driven performance assessment for nursing students

VII. Nursing Informatics in Patient Safety and Quality Improvement

61. Big data analytics for patient safety in hospitals
62. Real-time tracking of vital signs using informatics tools
63. Improving patient safety culture through informatics-based interventions
64. EHR usability and its impact on nursing errors
65. Using data analytics to identify patient safety risks
66. Health informatics and medication reconciliation best practices
67. Reducing patient falls in hospitals using smart bed technology
68. How informatics-driven workflows improve patient safety
69. Quality improvement initiatives using nursing informatics
70. Reducing hospital-acquired infections (HAIs) through data analytics

Proposal Project Ideas in Nursing Informatics

1. Using informatics to improve patient outcomes in various healthcare settings
2. The role of healthcare professionals in the future of nursing informatics, here’s a nursing informatics proposal example
3. Integrating electronic medical records (EMRs) for better clinical practice
4. Technology in nursing: How AI is transforming healthcare delivery
5. Assessing the impact of nursing informatics projects on healthcare providers
6. The need for health informatics in modern nursing education
7. Information management challenges in nursing practice
8. The role of health informatics professionals in optimizing patient engagement
9. How information technology enhances healthcare services and efficiency
10. Ways to prevent data breaches in nursing informatics systems
11. Enhancing clinical decision-making through data-driven nursing informatics
12. The impact of telehealth on nursing informatics and patient engagement
13. Health management strategies using big data in nursing practice
14. How informatics can help healthcare organizations reduce medical errors
15. Future of health informatics in women’s health and maternal care
16. Integration of technology to improve patient safety in emergency care
17. Analyzing patient information securely in online nursing platforms
18. Best practices for nursing essay writing in capstone projects
19. How nursing and public health informatics improve patient outcomes
20. Future trends in nursing informatics education in the college of nursing

Nursing Research Topics in Healthcare Informatics

21. The impact of healthcare workers’ informatics training on patient safety
22. Reducing healthcare disparities through nursing informatics projects
23. Improving general nursing workflows through automated data management
24. Assessing the role of communication and collaboration in nursing informatics
25. How informatics helps healthcare providers and patients manage chronic diseases
26. The role of informatics in healthcare delivery for rural communities
27. Comparing traditional and AI-driven nursing research methodologies
28. How online nursing education is integrating informatics in learning platforms
29. Technical and analytical skills required for nursing informatics specialists
30. Ways to prevent misinformation in electronic health data management

Patient-Centered Informatics Projects in Nursing

31. How to improve patient outcomes using artificial intelligence in healthcare
32. The role of informatics in women’s health and maternal care
33. How COVID-19 pandemic changed healthcare informatics practices
34. Evaluating various healthcare settings for informatics adoption
35. Assessing electronic medical records efficiency for healthcare providers
36. How telehealth services help patients in remote areas receive better care
37. Future of nursing informatics and its impact on patient engagement
38. The importance of clinical practice informatics for modern healthcare workers
39. Choosing the right nursing informatics technology for secure patient care
40. Integration of technology to improve mental health nursing interventions

41. How to securely store patient data in healthcare organizations
42. Assessing cybersecurity risks in electronic health data management
43. Protecting patient information from hackers in nursing informatics
44. Secure telehealth communications for providers and patients
45. Ethical considerations in healthcare informatics security
46. Privacy challenges in various healthcare settings and how to mitigate them
47. Healthcare industry standards for protecting health data
48. Using AI to detect vulnerabilities in healthcare systems
49. How communication and collaboration improve cybersecurity in nursing informatics
50. Patient engagement strategies to protect sensitive health information
51. How informatics helps healthcare workers deliver efficient care to patients

51. Using artificial intelligence in nursing informatics for predictive analytics
52. Integration of electronic medical records to improve patient care coordination
53. How nursing science and technology combine to enhance patient health
54. Future of health informatics in emergency nursing and trauma care
55. Assessing areas for improvement in healthcare informatics education
56. How informatics is reducing healthcare costs while improving quality care
57. The role of informatics in reducing hospital-acquired infections
58. How telemedicine is revolutionizing healthcare industry operations
59. Evaluating electronic documentation systems in nursing research

61. Future of nursing informatics in artificial intelligence-driven diagnostics
62. How to improve healthcare delivery using blockchain in patient data security
63. Addressing concerns in healthcare settings with smart wearables technology
64. The role of informatics in disaster response and pandemic preparedness
65. How informatics can advance nursing careers through data-driven decision-making
66. How COVID-19 pandemic accelerated digital transformation in nursing informatics
67. Health data analytics in nursing informatics projects for improving patient care
68. Comparing different patient engagement tools in online nursing platforms
69. Big data analysis in nursing informatics and public health policy
70. How to use informatics in writing service tools for nursing research papers

71. Developing information management strategies to prevent medical errors
72. How technology to improve safety reduces healthcare-associated infections
73. The impact of AI-driven clinical decision-making on nursing informatics
74. Evaluating patient information security in hospital networks
75. Assessing nursing informatics roles in reducing patient falls
76. Analyzing the effectiveness of smart beds in improving patient outcomes
77. Healthcare services optimization using predictive analytics in informatics
78. Implementing remote patient monitoring solutions for chronic disease management
79. How healthcare informatics enhances provider-patient communication
80. Addressing the challenges of interoperability in nursing informatics systems

81. How online nursing informatics programs prepare students for future careers
82. Best ways to demonstrate readiness in informatics-driven nursing roles
83. Integrating health informatics in college of nursing curricula
84. How to improve technical and analytical skills for nursing informatics roles
85. Writing service tools for developing research papers in nursing informatics
86. The role of nursing informatics in helping healthcare providers advance their careers
87. Improving healthcare informatics literacy among nursing students
88. The future of AI-powered nursing simulations in nursing education
89. How informatics is transforming continuing education in general nursing
90. Evaluating the impact of technology-driven training in healthcare organizations

91. How automation in health informatics reduces clinician burnout
92. The role of digital twins in nursing informatics and patient care
93. Future of health informatics and wearable biosensors in patient monitoring
94. Enhancing care to patients using remote health tracking systems
95. How AI-powered nursing assistants are transforming hospital workflows
96. How blockchain technology helps securely store patient health data
97. Improving patient engagement through informatics-driven health coaching
98. Advancements in nursing informatics for predictive healthcare analytics
99. The role of healthcare delivery systems in reducing medical errors
100. How robotic process automation is improving clinical practice and efficiency