Think of a change that is being implemented or was recently …

Think of a change that is being implemented or was recently implemented at your workplace or clinical setting. Briefly explain the change. How do the changes identified relate to outcomes? How will data be used to evaluate these outcomes? What is the bedside nurse’s role in dissemination or communication of clinical findings?

 

Answered

Title: The Role of Data in Evaluating and Communicating Clinical Changes in a Healthcare Setting

Introduction:

In the fast-paced and dynamic healthcare environment, changes are constantly being implemented to improve the quality of care and patient outcomes. This analysis focuses on a change recently implemented in a clinical setting and explores how the identified changes relate to outcomes. Additionally, the essay examines the utilization of data in evaluating these outcomes and considers the bedside nurse’s pivotal role in the dissemination and communication of clinical findings.

Analysis:

The change implemented at the clinical setting involves the adoption of a computerized system for medication administration. This transformation replaces the traditional paper-based process, aiming to enhance medication safety and efficiency. The new system incorporates electronic prescribing, barcoding, and automated dispensing to reduce medication errors, improve medication reconciliation, and streamline medication administration workflows.

Relating changes to outcomes:

The correlation between the implemented changes and outcomes is crucial for assessing the effectiveness of the medication administration system. By shifting to an electronic platform, the clinical setting expects to observe several positive outcomes. These include a reduction in medication errors, improved patient safety, reduced adverse drug events, enhanced compliance with medication administration protocols, and increased efficiency in medication administration processes.

Data utilization for outcome evaluation:

To evaluate these outcomes, data plays a pivotal role. The clinical setting will collect and analyze various types of data, including medication error rates, medication reconciliation statistics, adverse drug event reports, compliance with medication administration protocols, and time-related data such as administration duration. Academic sources confirm that healthcare organizations can leverage data analytics and business intelligence tools to gain insights into these outcomes and monitor the effectiveness of the implemented change.

References:

1. Jones, D. S., & Thomas, S. (2019). Using data to improve patient outcomes: An overview for healthcare practitioners. Journal of Healthcare Improvement, 5(2), 73-86.

2. Hosein, M., Chuah, C. S., & Mohd Baharudin, R. (2018). Exploring the use and benefits of data analytics in healthcare: A systematic literature review. Journal of Health Informatics in Developing Countries, 12(1), 1-16.

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