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Discussion DATA SCIENCE APPLICATIONS AND PROCESSES TRANSFORMING NURSING MODULE 3: AT A

March 21, 2024

Discussion

DATA SCIENCE APPLICATIONS AND PROCESSES

TRANSFORMING NURSING

MODULE 3: AT A GLANCE

DATA SCIENCE AND DIGITAL HEALTH: ADVANCES IN TECHNOLOGY AND NURSING INFORMATICS

INTRODUCTION

Technology shapes all aspects of our lives, from mobile devices holding as much power and usage ability as a desktop computer, to cars that have the ability to alert a driver if they swerve out of a lane or are too close to another driver. Technological advancements drive society forward and provide opportunities for safety and growth. The healthcare field is no exception, from the use of wearable medical devices to offering telehealth appointments during a pandemic and beyond, technology has shaped how healthcare is delivered, studied, and monitored.

In this module, you will explore data science and digital health. Think about what areas of your practice might be affected by these advancements in technology, and how these technologies might shape the study of nursing informatics. What experience have you had with these advancements, and how might these advancements affect the patients or care in your area of practice?

WHAT’S HAPPENING THIS MODULE?

Module 3: Data Science and Digital health: Advances in Technology and Nursing Informatics is a 2-week module—Weeks 5 and 6 of the course—in which you will explore emerging technologies through advancements in data collection and digital health. You will also submit the first part of your nursing informatics project, in which you will demonstrate your understanding of nursing informatics through project creation.

DATA SCIENCE: APPLICATIONS FOR PRACTICE

INTRODUCTION

Data drives innovations in healthcare. Whether through exploring patient care practices, introducing new care techniques, or providing new lifesaving medicine, data drives the ability to offer these solutions in practice. Data is not compiled, applied, or analyzed using only one approach—therefore, it is important to explore the various strategies used and consider implications, barriers, and impact of data science on nursing practice.

This week, you will analyze the use of data science applications and processes for healthcare organizations and nursing practice. You will also consider and examine approaches for implementation of data science.

This week also serves as the week in which you will submit your proposed nursing informatics project. Remember, while using project management skills and techniques, the goal of this project is to demonstrate your understanding of nursing informatics through the implementation, or potential implementation, of your proposed nursing informatics project.

LEARNING OBJECTIVES

Students will:

· Analyze data science applications and processes for healthcare organizations and nursing practice

· Evaluate approaches for implementation of data science applications and processes for nursing practice

· Analyze use of predictive analytics for clinical practice

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