Healthcare Data Quality and Governance

Go to Course: https://www.coursera.org/learn/healthcare-data-quality-governance

Introduction

### Course Review and Recommendation: Healthcare Data Quality and Governance on Coursera In the evolving landscape of healthcare, the need for professionals skilled in managing and analyzing data is at an all-time high. As data increasingly shapes decision-making and patient outcomes, understanding the intricacies of data quality and governance becomes imperative. One course that stands out for those interested in this critical field is **Healthcare Data Quality and Governance**, available on Coursera. #### Course Overview The **Healthcare Data Quality and Governance** course is designed for individuals who are either looking to transition into healthcare data roles or those already in healthcare who wish to deepen their understanding of data quality and governance practices. The course elucidates how maintaining high-quality data is essential not only for operational efficiency but also for enhancing patient care and ensuring the financial viability of healthcare providers. This course is particularly beneficial for: - Data analytics professionals looking to specialize in healthcare. - Current healthcare professionals aiming to expand their skill set into health information management. - Individuals seeking to understand the strategic importance of data quality in healthcare settings. #### Course Syllabus Breakdown **1. Why Data Quality Matters** The journey begins by defining the concept of data quality and its driving factors. Participants will uncover the four key aspects of data quality and understand its pivotal role in operational efficacy, patient care, and financial health. By examining how data evolves over time, learners will appreciate the significance of recognizing changes that may affect data quality and the broader implications for healthcare practice. **2. Measuring Data Quality** This module dives into the tools and methodologies used to gauge data quality. Participants will explore the role of metadata, distinguish between data verification and validation, and learn about various validation methods. Engaging with scholarly articles helps solidify understanding, while the S-B-A-R communication framework introduces practical strategies for addressing data issues in healthcare settings. **3. Monitoring, Managing, and Improving Data Quality** Here, the focus shifts to practical applications. The module equips participants with strategies to monitor and sustain data quality consistently. By learning to establish a culture of quality, track data changes, and implement monitoring strategies, healthcare professionals will be better prepared to address data deficiencies and maintain high standards throughout the data lifecycle. **4. Sustaining Quality through Data Governance** Concluding the course, this module emphasizes the governance aspect of data management. It discusses the roles of data governance committees, the significance of high-quality data as a business asset, and methods for repurposing data. The insights gained here are crucial for understanding how robust governance frameworks can ensure ongoing data quality. #### Why You Should Enroll **1. Comprehensive Content:** The course offers a well-rounded curriculum that covers every essential aspect of healthcare data quality and governance, making it suitable for both novices and experienced professionals. **2. Practical Applications:** Through case studies, articles, and real-world scenarios, participants gain applicable knowledge and skills they can leverage immediately in their careers. **3. Career Advancement:** With healthcare data specialists in high demand, this course enhances your qualifications and positions you for advancement in a burgeoning field. **4. Flexibility and Convenience:** Offered through Coursera, this course provides the flexibility to learn at your own pace while accessing high-quality educational materials. #### Final Recommendation If you are passionate about improving healthcare through effective data management and wish to advance your career in a meaningful direction, **Healthcare Data Quality and Governance** is a highly recommended course. It empowers you with vital knowledge and skills that will not only enhance your professional capabilities but also contribute to improving patient care and operational effectiveness in healthcare settings. Enroll today and take a decisive step towards mastering healthcare data quality and governance!

Syllabus

Why Data Quality Matters

In this module, you will be able to define data quality and what drives it. You'll be able to recall and describe four key aspects of data quality. You'll be able to explain why data quality is important for operations, for patient care, and for the finances of healthcare providers. You'll be able to discuss how data may change over time, and how finding those changes allows us to recognize and work with the issues the changes cause. You will be able to explain why requirements for data quality depend on how we intend to use that data and understand four levels of quality that may be applied for different kinds of analysis. You will also be able to discuss how all of this supports our ability to do our best work in the best ways possible.

This module focuses on measuring data quality. After this module, you will be able to describe metadata, list what metadata may include, give some examples of metadata and recall some of its uses as it relates to measuring data quality. We will describe data provenance to explains how knowing the origin of a data set can help data analysts determine if a data set is suitable for a particular use. We’ll also describe 5 components of data quality you can recall and use when evaluating data. You will also learn to be able to distinguish between data verification and validation, recalling 4 applicable data validation methods and 3 concepts useful to validate data. In addition to your video lessons, you will read and discuss a scholarly article on Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. We wrap up the module with a framework abbreviated as S-B-A-R that is often used in healthcare team situations to communicate about issues that must be solved.

In this module, we focus on monitoring, managing, and improving data quality. You will be able to explain how to monitor data on a day-to-day basis to see that it remains consistent. You will explain how measures can help us monitor the patient health and the quality of care they receive over time. Also, you will be able to discuss establishing the culture of quality throughout the data lifecycle and improving data quality from the baseline by posing questions to determine a baseline of data quality. You will be able to manage data quality through expected and unexpected changes, along with tracking monitoring strategies along the data pipeline. After this module, you will be able to identify and fix common deficiencies in the data and implement change control systems as a monitoring tool. You’ll also recall several best practices you can apply on the job to monitor data quality in the healthcare field.

IIn this module, we focus on sustaining quality through data governance. We will define data governance and consider why it matters in healthcare. You will discuss who makes up data governance committees, how these committees function relative to data analysts and describe how stakeholders work together to ensure data quality. You’ll be able to describe how high-quality data is a valuable asset for any business. You will also define data governance systems. You will recall several ways data can be repurposed and explain how data governance maintains data quality as it is repurposed for a use other than that for which it was originally gathered. In addition to your video lessons, you will read and discuss the article, Big Data, Bigger Outcomes and practice applying some of these important concepts.