Evidence-Based Practice as it relates informatics is vital to patient care. Discuss Stevens Star Model of Knowledge and its correlation to new emerging technology that will improve patient outcomes.

by

Evidence-Based Practice as it relates informatics is vital to patient care. Discuss Stevens Star Model of Knowledge and its correlation to new emerging technology that will improve patient outcomes.

Participation Requirements

The student must answer the graded discussion with a substantive reply to the graded discussion question(s)/topic(s) posted by the course instructor by Wednesday, 11:59 p.m. Eastern Time of each week. Two scholarly sources references are required, unless stated otherwise by your professor.

Please review the rubric before posting to ensure a maximum of points.

Here are the categories of the new discussion rubric:

Initial Post relevance to the topic of discussion, applicability, and insight. (20%)

Quality of Written Communication Appropriateness of audience and words choice is specific, purposeful, dynamic, and varied. Grammar, spelling, punctuation. (20%)

Inclusion of DNP essentials explored in the discussion as well as the role-specific competencies as applicable.(10%)

Rigor, currency,  and relevance of the scholarly references. (Use articles that are below 5 years). (20%)

Peer & Professor Responses. The number of responses, quality of response posts. (20%)

Timeliness of the initial post and the answers to the peers. (10%)

The Stevens Star Model of Knowledge Transformation provides a framework for converting raw research into clinical action. In informatics, this model explains how emerging technologies—like AI and Big Data—automate the path from data to patient care.
The Five Points of the Star
  • 1. Discovery Research
    • This is the initial stage where new knowledge is generated through primary research and data collection.
    • Tech Correlation: High-speed genomic sequencing and wearable sensors generate massive datasets that humans cannot process manually.
  • 2. Evidence Summary
    • Individual studies are synthesized into a single statement of knowledge, such as a systematic review.
    • Tech Correlation: Natural Language Processing (NLP) quickly scans thousands of medical journals to summarize findings for researchers.
  • 3. Translation into Guidelines
    • Summarized evidence is turned into clinical practice guidelines or toolkits.
    • Tech Correlation: Clinical Decision Support Systems (CDSS) embed these guidelines directly into Electronic Health Records (EHRs) as real-time alerts.
  • 4. Practice Integration
    • The guidelines are formally integrated into clinical workflows and organizational policy.
    • Tech Correlation: Interoperable EHR systems ensure that evidence-based protocols are accessible to the entire care team across different facilities.
  • 5. Evaluation
    • The final stage measures the impact of the change on patient outcomes, costs, and efficiency.
    • Tech Correlation: Real-time analytics dashboards track patient recovery rates and readmission statistics to validate the effectiveness of the new practice.
Improving Patient Outcomes
New technology shortens the “knowledge-to-practice gap.” By automating the synthesis and delivery of evidence, informatics ensures that patients receive treatments based on the most current data rather than outdated habits, significantly reducing medical errors

Order Solution Now