To Prepare:
- Review the concepts of informatics as presented in the Resources.
- Reflect on the role of a nurse leader as a knowledge worker.
- Consider how knowledge may be informed by data that is collected/accessed.
The Assignment:
- Explain the concept of a knowledge worker.
- Define and explain nursing informatics and highlight the role of a nurse leader as a knowledge worker.
- Include one slide that visually represents the role of a nurse leader as knowledge worker.
- Your PowerPoint should Include the hypothetical scenario you originally shared in the Discussion Forum. Include your examination of the data that you could use, how the data might be accessed/collected, and what knowledge might be derived from that data. Be sure to incorporate feedback received from your colleagues responses.
- McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
- Chapter 1, Nursing Science and the Foundation of Knowledge (pp. 717)
- Chapter 2, Introduction to Information, Information Science, and Information Systems (pp. 2132)
- Chapter 3, Computer Science and the Foundation of Knowledge Model (pp. 3564)
- Nagle, L., Sermeus, W., & Junger, A. (2017).
- . In J. Murphy, W. Goosen, & P. Weber (Eds.), Forecasting Competencies for Nurses in the Future of Connected Health (212-221). Clifton, VA: IMIA and IOS Press. Retrieved from
- Sweeney, J. (2017).
- . Online Journal of Nursing Informatics, 21 (1).
This was my discussion
Nursing Informatics for HAPI Reduction in Medical-Surgical Units
As healthcare practitioners, we are constantly dependent on data to fill the gap between clinical issues and better patient outcomes. To illustrate this point, when a sudden, alarming increase in Hospital-Acquired Pressure Injuries (HAPIs) occurs in a busy medical-surgical unit, nursing informatics is the key tool that is necessary to examine and address this patient care issue. This discussion post aims to show how the gathering and use of clinical information can help close one particular patient safety gap: the spread of hospital-acquired pressure injuries (HAPIs) by converting raw data into actionable clinical information and utilizing clinical judgment to implement a systematic, non-punitive remedy that will successfully reduce the occurrence of hospital-acquired pressure injuries.
Data Collection and Access
The data that will be relevant will contain daily Braden Scale scores, turning time, patient comorbidities, and the staffing ratios between nurses and patients. The given process is simplified with the help of informatics systems: data is measured through Electronic Health Record (EHR) flowsheets and smart-bed sensors, and is reviewed by a nurse leader using a secure clinical dashboard (Moore, 2024).
Knowledge Derived from Data
Raw data is turned into actionable knowledge using the Foundation of Knowledge model (McGonigle & Mastrian, 2024). Such cross-referencing of patient records with staffing logs could indicate that HAPIs are mainly seen on understaffed shifts during weekends or during night-shift turnover reporting. This provides information about the weaknesses of a given workflow.
Clinical Reasoning and Judgment
Clinical judgment is what enables a nurse leader to turn this knowledge into wisdom. Based on the knowledge of the clinical environment, the leader understands that missed turns are typically caused by conflicting priorities of a critical nature and not negligence (Nagle et al., 2017). Rather than being punitive, the leader uses this knowledge to initiate systemic responses, e.g., promoting complex pressure-relieving mattresses or restructuring weekend staffing patterns to enhance patient outcomes safely.
References
McGonigle, D., & Mastrian, K. (2024). Nursing informatics and the foundation of knowledge. Jones & Bartlett Learning.
Moore, S. (2024). HAPI Prevention in Post-Operative Inpatient Rehabilitation Patients (Doctoral dissertation, Bradley University).
Nagle Lynn M., Sermeus Walter, & Junger Alain. (2017). Evolving Role of the Nursing Informatics Specialist. Forecasting Informatics Competencies for Nurses in the Future of Connected Health. doi: 10.3233/978-1-61499-738-2-212
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