NURS FPX 6400 Assessment 3 Executive Summary to Administration
Student Name
Capella University
FPX6400
Professor Name
Submission Date
Executive Summary to Administration
Increasingly, healthcare organizations are investing in nursing informatics to help them focus their strategic efforts and measure patient care outcomes. In our long-term care facility, we employed the Plan-Do-Study-Act (PDSA) model to help implement an EHR system in order to attempt to identify and systematically decrease medication errors. Bierbaum showed that the PDSA cycle offers a logical, evidence-based method for testing and maintaining quality improvements in health care. There was a statistically significant reduction in medication errors compared with the baseline assessment at 3 weeks after the EHR system had been launched, as seen in ten de-identified patients.
Theoretical Models and Outcome Data to Effect Change
All informatics actions are based on a solid base of theoretical models that have been well researched and can enable evidence-based decision-making for sustainable and meaningful organizational change. The technology acceptance model (TAM) was followed in designing strategies to engage the staff in implementing electronic health record (EHR) in our institution. Perceived ease of use and perceived usefulness are identified as the most important factors in successful technology adoption in an organization, according to Isiaku and Adalier’s study. By go-live Week 3, documentation compliance went up from a baseline average of 55% to 93%, which helped staff to embrace the new system.
Nursing Informatics Standards of Practice and Outcome Data
Data collection, interpretation, and action requirements based on nursing informatics standard of practice provide the professional basis for the collection, interpretation, and action on meaningful health outcome data. Under this program, the collection, trending, and evaluation of data on the quality of data were based on the American Nurses Association Scope and Standards of Practice. Nurses must also be informed to use data to enhance the quality and safety of their patients. The data trends collected at baseline and repeated at 1 week, 2 weeks, and 3 weeks showed improvement over time, both for medication safety and medication documentation compliance.
Regulatory Information Supporting Safe Informatics Practice
Regulations are a crucial element of ensuring that nursing informatics has safe, ethical, and legal outcomes. The success of a nursing informatics program is going to be determined by the success of the regulatory framework or body of laws (HIPAA and CMS Conditions of Participation) that impact how the collection and maintenance of electronic health records (EHR) is going to be managed. There is a direct relationship between the ability to prevent patient safety and documentation errors from occurring when EHR systems have effective and compliant regulatory frameworks in place. Regulatory compliance guarantees that patient data that has been collected about a patient, as well as any data that has been created about a patient, and all data sent to other users while providing high-quality patient care, will remain protected.
Importance of a HIPAA-Compliant Spreadsheet
In accordance with ethical and legal requirements, all patient information that is gathered for the use of healthcare practitioners needs to be properly documented in compliance with HIPAA standards. All patient information in the dataset has been anonymized to remove any direct identifiers with respect to the patient. All patient information has been replaced by de-identifiers per Safe Harbor standard established in 45 CFR §164.514(b). Failure to abide by the civil and criminal principles of HIPAA regarding the confidentiality of Patient Health Information (PHI) may result in HHS being penalised with a large sum of civil and criminal liability in case of accidental disclosure or negligence in disclosing the PHI by health care providers. In addition to protecting patients’ privacy, de-identifying patient data also provides a way to share patient data safely across all departments within an organization to enhance quality improvement initiatives.
Conclusion
One such application of nursing informatics to patient safety and quality in the long-term care (LTC) nursing facility setting is the implementation project for its electronic health record. The project was conducted with 10 patients who were de-identified, and results showed a meaningful reduction in the medication error rate and a significant increase in the number of documented items that were compliant. This project used the PDSA model, American Nurses Association’s (ANA) informatics standards, and other regulatory requirements (including HIPAA and CMS) and was methodologically rigorous and evidence-based to solve a problem. Continuous nursing informatics support will be used to maintain quality improvements, compliance with regulations, and patient-centered care.
Related assessments for this class:
NURS FPX 6400 Assessment 1
NURS FPX 6400 Assessment 3
NURS FPX 6400 Assessment 4
NURS FPX 6400 Assessment 5
References
Bierbaum, M., Best, S., Williams, S., Fehlberg, Z., Hillier, S., Ellis, L. A., Goodrich, A., Padbury, R., & Hibbert, P. (2025). The integration of quality improvement and implementation science methods and frameworks in healthcare: A systematic review. BioMed Central Health Services Research, 25(1). https://doi.org/10.1186/s12913-025-12730-9
Clayton, E. W., Embí, P. J., & Malin, B. A. (2022). Dobbs and the future of health data privacy for patients and healthcare organizations. Journal of the American Medical Informatics Association, 30(1). https://doi.org/10.1093/jamia/ocac155
Isiaku, L., & Adalier, A. (2024). Determinants of business intelligence systems adoption in Nigerian banks: The role of perceived usefulness and ease of use. Information Development. https://doi.org/10.1177/02666669241307024
Shi, Q., Wotherspoon, R., & Morphet, J. (2025). Nursing informatics and patient safety outcomes in critical care settings: A systematic review. BioMed Central Nursing, 24(1), e546. https://doi.org/10.1186/s12912-025-03195-6
Upadhyay, S., & Hu, H. (2022). A qualitative analysis of the impact of electronic health records (EHR) on healthcare quality and safety: Clinicians’ lived experiences. Health Services Insights, 15(1), 1–7. https://doi.org/10.1177/11786329211070722
