Using Data to Make Evidence-Based Technology Recommendations
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Assessment Overview:
Using Data to Make Evidence-Based Technology Recommendations In today’s ever-changing world, healthcare technology is not optional anymore but a necessity for safety and efficiency. The assessment is focused on the critical skill of analyzing clinical data to recommend technology interventions. Through the application of ethical principles, nursing leaders ensure these recommendations serve the best interests of patients and data accuracy, not just operational efficiency.Also visit our NURS FPX 8022 Assessment 1
How to Pass Using Data to Make Evidence-Based Technology Recommendations
- Why the Data: Describe the technology, but make sure you explain why the data requires it.
- Have Clear Ethics: Use the phrase “Applying Ethical Principles” and tie it in directly to your technology choice.
- Use Scholarly Tone: Maintain a professional, academic tone in the whole document.
- Check the Rubric: Make sure to use the “Distinguished” column of the Capella rubric to guide your headings.
Sample Assessment:
NURS FPX 8022 Assessment 1: Using Data to Make Evidence-Based Technology Recommendations
Executive Summary
This proposal is in response to increased incidence of medication administration errors in the acute care setting. The implementation of a closed-loop medication administration (CLMA) system is recommended in this paper based on the analysis of internal quality metrics and the application of a rigorous evidence-based framework. At the core of this recommendation is a commitment to applying ethical principles, ensuring that patient safety and data privacy are central to the adoption of technology.
Data Analysis and Identification of Need
Medication “near-miss” events were reported at a rate 12 percent higher in the 2024-2025 quarterly safety reports. Data suggests that these mistakes frequently happen at shift changeovers, pointing to a breakdown in real-time communication. With data-driven decision-making, we can move from reactive troubleshooting to proactive prevention.
Proposed Technology: Closed-Loop Medication Administration (CLMA)
The CLMA system ties barcode medication administration (BCMA) to real-time electronic health record (EHR) updates. Unlike previous systems, the CLMA offers an automated “permanent stop” if the wristband on the patient does not match the medication prescribed.
Applying Ethical Principles in Technology Selection
Nursing leaders need to look beyond cost-benefit analyses and think about the moral implications of their decisions when choosing health care technology.
- Autonomy: The system should be designed to inform rather than override a clinician’s professional judgment, and the nurse should remain the ultimate advocate for the patient.
- Beneficence: The primary intent is to “do good.” It directly improves patient outcomes by reducing mistakes.
- Justice: Applying ethical principles means ensuring that the introduction of new technology does not create a digital divide where some units or patient groups benefit from improved safety measures.
Implementation and Change Management
The implementation will utilize Kotter’s 8-Step Change Model and will create a sense of urgency among the nursing staff by sharing the recent data on errors. Training sessions will be customized to the different learning styles to ensure high adoption rates and technical proficiency, as this approach will cater to the diverse needs of the nursing staff and enhance their ability to effectively use the new technology in response to the recent data on errors.
References (APA 7 Format)
- American Nurses Association. (2025). Code of Ethics for Nurses with Interpretive Statements. Visit ANA
- HIMSS. (2024). The Role of Technology in Improving Patient Safety. Visit HIMSS
- Agency for Healthcare Research and Quality (AHRQ). (2026). Health Information Technology Assessment Toolkit. Visit AHRQ
- Journal of Nursing Care Quality. (2025). Data-Driven Decision Making in Clinical Settings. Visit LWW Journals
- Office of the National Coordinator for Health IT. (2026). Health IT Playbook. Visit HealthIT.gov
Rubric Breakdown
| Criterion | Distinguished | Proficient |
| Data Analysis | Analyzes complex data sets to identify specific practice gaps with high precision. | Analyzes data to identify a practice gap. |
| Ethical Framework | Integrates Applying Ethical Principles seamlessly into all technological recommendations. | Mentions ethical principles in the context of technology. |
| Evidence-Based Support | Uses 5+ peer-reviewed sources from the last 5 years. | Uses 3-4 peer-reviewed sources. |
| Proposed Technology | Provides a comprehensive, feasible, and innovative tech recommendation. | Provides a logical tech recommendation. |
Step-by-Step Guide
- Spot a practice gap: You can use internal data from your facility such as the rate of medication errors or falls or patient satisfaction scores to identify an area for improvement.
- 3. Quantify the problem Analyze data trends Use at least two years of data to demonstrate why the technological change is necessary.
- Assess Technology Options: Compare at least two software or hardware solutions (e.g., AI-driven predictive analytics vs. standard EHR alerts).
- Add Ethics. Your recommendation should address applying ethical principles, especially justice (equal access) and non-maleficence (minimizing harm from tech fatigue).
- Complete the Proposal: Use the structure below to organize your findings in the sample:
Frequently Asked Questions
Q: Can I use a technology my hospital already uses?
A: Yes, provided you are proposing an upgrade or a more effective way to utilize the data it generates to improve outcomes.
Q: How long should the data analysis section be?
A: It should be robust enough to prove a trend. Usually, two to three paragraphs with specific percentages or figures are sufficient.
Q: What does “Applying Ethical Principles” mean in this context?
A: It refers to evaluating how the technology protects patient privacy, ensures equitable care, and prevents harm.
Integrity Note
Note: Only use this assessment example for learning and structure purpose. Do not submit as your own work.
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