Healthcare Data Quality and Governance from Coursera

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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.

Measuring Data Quality

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.

Monitoring, Managing and Improving Data Quality

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.

Sustaining Quality through Data Governance

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops knowledge and skills in healthcare data quality and governance, which are important topics in the healthcare industry

Explores data quality, data provenance, data validation, and data verification, which are highly relevant for healthcare professionals

Taught by Doug Berman, an experienced instructor in healthcare data management

Reviews summary

Healthcare data quality and governance

Learners say this five-star-rated course offers excellent healthcare data quality and governance foundational knowledge for beginners in the field. While one negative review claims to see redundant information, positive ones are largely in agreement about the engaging assignments, well-articulated material, and helpful knowledge they have gained from taking the course.

The assignments are a bit challenging.

""Good challenge""

Lectures in this course are insightful.

""Insightful videos are included""

The course explains data governance in a clear way.

""Healthcare data governance has been explained in a deliberate way.""

The material is clear and helpful.

""Very clear and well articulated.""

""excellent and very helpful course for me""

""Its very good course, more examples should be added . Really enjoyed""

Some learners found the info repetitive.

""Boring. Basic info almost from general knowledge. Most of it have been taught already in previous modules.""

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Healthcare Data Quality and Governance with these activities:

Reviewing core concepts of data quality

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Brush up on data quality concepts to ensure a solid foundation for the course's more advanced topics.

Browse courses on Data Quality

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Review notes or coursework from previous data management courses.
Read articles or textbooks on data quality fundamentals.
Complete online quizzes or exercises to test your understanding.

Review healthcare data quality fundamentals

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Review the basic principles of data quality in the healthcare context to strengthen your foundation for the course.

Browse courses on Data Quality

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Revisit definitions and key concepts of data quality.
Examine the importance of data quality in healthcare settings.
Analyze the impact of data quality issues on patient care and outcomes.

Review data quality concepts and practices

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Revisit fundamental concepts of data quality and governance to solidify your understanding before delving into the course material.

Browse courses on Data Quality

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Reread the course syllabus and identify key data quality topics
Review online resources and articles on data quality and governance concepts
Create flashcards or a mind map to summarize key terms and definitions

27 other activities

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Review Health Information Systems

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Refreshes understanding of health information systems to provide a stronger foundation for the course.

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Review notes from previous coursework on health information systems.
Practice using health information management software.

Practice Data Analysis Fundamentals

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Refresh your understanding of data analysis fundamentals to strengthen your foundation for this course.

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Review concepts of data collection, cleaning, and exploration
Practice data visualization techniques
Solve basic data analysis problems

Review Healthcare Data Quality

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Refresh your memory about the importance and key principles of healthcare data quality as a foundation for studying this course.

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Review the course syllabus and readings
Go over your existing knowledge of healthcare data quality
Identify areas of strength and weakness for Healthcare Data Quality

Data Quality Workshop for Healthcare Professionals

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Attend a workshop led by experts to gain in-depth knowledge of data quality principles and best practices specific to the healthcare industry.

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Research and identify relevant data quality workshops for healthcare professionals.
Register for a workshop that aligns with your learning goals.
Actively participate in the workshop, taking notes and asking questions.

Exploring Data Quality Tools and Techniques

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Enhance your practical skills by practicing with various data quality tools and techniques.

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Identify different types of data quality tools available.
Select and install appropriate tools for your learning environment.
Follow tutorials or documentation to learn the functionalities of the tools.
Apply the tools to real-world data sets to gain hands-on experience.

Data Quality Discussion Group

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Engage with peers to share knowledge, discuss challenges, and reinforce concepts related to data quality.

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Join or create a peer study group focused on data quality.
Attend regular meetings to discuss course topics, case studies, or industry trends.
Collaborate on projects or assignments to gain diverse perspectives and improve outcomes.
Provide feedback and support to fellow group members.

Practice Data Validation and Verification

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Enhances understanding of data validation and verification techniques.

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Complete online exercises on data validation and verification.
Practice validating and verifying data using real-world datasets.

Solve Data Quality Control Exercises

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Enhance your understanding of data quality control by completing exercises that simulate real-world scenarios.

Browse courses on Data Quality

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Identify and correct data errors
Validate data against business rules
Monitor data quality metrics

Data Quality Evaluation Exercises

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Reinforce what you learn about data quality evaluation by actively applying techniques and methodologies.

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Work through practice problems on data quality evaluation
Validate and verify data using different methods
Evaluate data quality using metadata and provenance
Apply the S-B-A-R framework for communicating data quality issues

Attend a Healthcare Data Quality Conference

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Network with professionals in the field and learn about the latest trends in healthcare data quality.

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Research upcoming healthcare data quality conferences
Register for a conference and attend sessions
Network with other attendees and speakers

Attend Healthcare Data Management Conferences

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Provides opportunities to network with professionals in the healthcare data management field.

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Research upcoming healthcare data management conferences.
Register and attend conferences.
Network with professionals and learn about industry trends.

Attend a Data Quality Workshop

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Expand your knowledge and network by participating in a workshop specifically focused on data quality.

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Research and identify relevant data quality workshops
Attend the workshop and actively participate in discussions
Connect with industry experts and professionals

Developing a Data Quality Management Plan

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Solidify your understanding of data quality principles by creating your own management plan.

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Define the objectives and scope of your data quality management plan.
Identify and analyze data quality requirements.
Develop strategies and processes for data cleansing, transformation, and enrichment.
Establish metrics and monitoring mechanisms to assess data quality.
Document and communicate the plan to stakeholders.

Data Governance Best Practices

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Expand your understanding of data governance by exploring best practices and case studies.

Browse courses on Data Governance

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Research data governance best practices
Review case studies of successful data governance implementations
Identify opportunities to apply best practices in your own work

Volunteer for a Healthcare Data Quality Project

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Gain hands-on experience in healthcare data quality by volunteering for a project.

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Identify healthcare data quality projects that need volunteers
Contact the project organizers and express your interest
Attend project meetings and contribute your skills

Volunteer at a Healthcare Organization

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Offers hands-on experience in healthcare data management and exposure to real-world challenges.

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Identify healthcare organizations that offer volunteer opportunities.
Inquire about volunteer positions in data management or related areas.
Participate in volunteer activities and gain practical experience.

Data Governance for Healthcare

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Explore best practices and guidelines for data governance in healthcare to ensure the long-term quality and integrity of data.

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Review the role of data governance in maintaining data quality.
Analyze the key components of a data governance framework for healthcare organizations.
Examine case studies of successful data governance implementations in healthcare.

Explore Data Governance Best Practices

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Deepen your knowledge of data governance best practices by following guided tutorials that provide practical insights.

Browse courses on Data Governance

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Research different data governance frameworks
Implement data governance policies and procedures
Monitor and evaluate data governance initiatives

Contribute to an Open-Source Healthcare Data Project

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Gain practical experience and contribute to the healthcare community by volunteering on an open-source data project.

Browse courses on Healthcare Data

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Identify a suitable open-source healthcare data project
Contribute code or documentation to the project
Collaborate with other contributors

Develop a Data Quality Improvement Plan

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Applies course concepts to practical scenarios by creating a data quality improvement plan.

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Identify areas for data quality improvement.
Develop strategies to improve data quality.
Create a plan to implement data quality improvements.

Develop a Data Quality Improvement Plan

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Apply your knowledge of data quality and governance to create a plan for improving data quality in a real-world setting.

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Identify areas for data quality improvement
Develop strategies to address data quality issues
Create a plan for implementing data quality improvements
Present your plan to stakeholders for feedback

Healthcare Data Quality Resource Library

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Create a curated collection of resources on healthcare data quality to support your learning and professional development.

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Gather articles, white papers, and other resources on healthcare data quality
Organize the resources into a central location
Share the resource library with other learners and professionals

Contribute to Open-Source Healthcare Data Projects

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Enhances data management skills and provides exposure to industry-standard tools and technologies.

Browse courses on Data Management

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Identify open-source healthcare data projects on platforms like GitHub.
Contribute to projects by submitting code, reporting bugs, or improving documentation.
Collaborate with other developers and gain valuable experience.

Data Quality Improvement Project

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Apply your knowledge and skills to conduct a data quality improvement project in a real-world healthcare setting.

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Identify a specific data quality issue within a healthcare organization.
Develop and implement a plan to address the issue, utilizing data quality techniques.
Monitor the impact of the improvement plan and make adjustments as needed.
Document the project and share your findings with stakeholders.

Develop a Data Quality Improvement Plan

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Apply your knowledge by creating a comprehensive data quality improvement plan that addresses real-world challenges.

Browse courses on Data Quality

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Define data quality objectives
Identify data quality issues
Develop and implement data quality improvement strategies
Evaluate the effectiveness of data quality improvements

Design a Data Governance Framework

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Demonstrate your understanding of data governance by designing a comprehensive framework for a specific organization.

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Analyze the organization's data governance needs
Develop a data governance charter
Create data governance policies and procedures
Establish a data governance committee

Participate in a Healthcare Data Analytics Challenge

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Challenge yourself and showcase your skills by participating in a competition that involves analyzing healthcare data.

Browse courses on Data Analytics

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Identify and register for a suitable challenge
Analyze the provided healthcare data
Develop and implement data analysis techniques
Submit your analysis and results

Career center

Learners who complete Healthcare Data Quality and Governance will develop knowledge and skills that may be useful to these careers:

Health Information Manager

The Healthcare Data Quality and Governance course offered by the University of California, Davis can be a great asset to aspiring Health Information Managers (HIM), individuals who work to manage and protect the quality of patient health information and data within healthcare organizations. The course covers topics such as measuring and monitoring data quality, data validation and verification, and data governance, providing valuable knowledge and skills for those seeking a career in HIM. By understanding the principles and practices of data quality management, HIMs can improve the accuracy, completeness, and reliability of patient health data, ensuring its usability for clinical decision-making and improving patient outcomes.

See salaries and explore the career path for Health Information Manager

Data Analyst

The Healthcare Data Quality and Governance course offered by the University of California, Davis provides a solid foundation for individuals seeking a career as a Data Analyst in the healthcare industry. The course covers essential topics such as data quality measurement and improvement, data governance, and data validation, which are critical skills for Data Analysts working with healthcare data. By gaining a comprehensive understanding of these concepts, Data Analysts can effectively analyze and interpret healthcare data, providing valuable insights to improve healthcare delivery, patient outcomes, and operational efficiency.

See salaries and explore the career path for Data Analyst

Clinical Data Manager

The Healthcare Data Quality and Governance course offered by the University of California, Davis can be extremely beneficial for individuals pursuing a career as a Clinical Data Manager. This course provides a comprehensive overview of data quality management principles and practices, which are essential for ensuring the accuracy and reliability of clinical data used in research and clinical trials. By gaining a solid understanding of data quality measurement, monitoring, and improvement techniques, Clinical Data Managers can effectively manage and oversee臨床試験 studies, ensuring the integrity and validity of the data collected.

See salaries and explore the career path for Clinical Data Manager

Healthcare Consultant

The Healthcare Data Quality and Governance course offered by the University of California, Davis can be highly beneficial for individuals seeking a career as a Healthcare Consultant specializing in data quality and governance. This course provides a deep understanding of the principles and practices of data quality management in the healthcare industry. Healthcare Consultants can leverage this knowledge to advise healthcare organizations on improving their data quality practices, ensuring the accuracy and reliability of their data for decision-making and improving patient outcomes.

See salaries and explore the career path for Healthcare Consultant

Data Governance Specialist

The Healthcare Data Quality and Governance course provided by the University of California, Davis offers valuable insights for individuals aiming to become Data Governance Specialists in the healthcare field. This course covers crucial topics such as data governance frameworks, data quality assessment, and data privacy and security, providing a comprehensive understanding of the principles and practices of data governance in healthcare. By gaining expertise in these areas, Data Governance Specialists can effectively implement and manage data governance programs, ensuring the integrity, security, and accessibility of healthcare data.

See salaries and explore the career path for Data Governance Specialist

Healthcare Data Scientist

Aspiring Healthcare Data Scientists can benefit from the Healthcare Data Quality and Governance course offered by the University of California, Davis. This course delves into the principles and practices of data quality management, data governance, and data validation, which are essential for ensuring the accuracy and reliability of healthcare data used in machine learning models and predictive analytics. By gaining a solid understanding of these concepts, Healthcare Data Scientists can develop and deploy robust data-driven solutions that improve healthcare delivery, patient outcomes, and operational efficiency.

See salaries and explore the career path for Healthcare Data Scientist

Health Informatics Specialist

The Healthcare Data Quality and Governance course offered by the University of California, Davis can be a valuable asset for individuals seeking a career as a Health Informatics Specialist. This course provides a comprehensive overview of data quality management principles and practices in healthcare, including data collection, storage, analysis, and dissemination. Health Informatics Specialists can leverage this knowledge to design and implement health information systems that ensure the accuracy, completeness, and security of patient health data, improving the quality and efficiency of healthcare delivery.

See salaries and explore the career path for Health Informatics Specialist

Quality Assurance Analyst

The Healthcare Data Quality and Governance course offered by the University of California, Davis can provide a solid foundation for individuals pursuing a career as a Quality Assurance Analyst in the healthcare industry. This course covers essential topics such as data quality measurement and improvement, data validation, and data governance, equipping Quality Assurance Analysts with the skills and knowledge necessary to assess and ensure the accuracy and reliability of healthcare data. By understanding the principles of data quality management, Quality Assurance Analysts can contribute to the delivery of high-quality healthcare services and improve patient outcomes.

See salaries and explore the career path for Quality Assurance Analyst

Medical Records Technician

The Healthcare Data Quality and Governance course provided by the University of California, Davis may be beneficial for individuals interested in a career as a Medical Records Technician. This course introduces the fundamental principles of data quality management in healthcare, including data collection, storage, and retrieval. Medical Records Technicians can apply this knowledge to ensure the accuracy and completeness of patient health records, which are essential for effective patient care and communication among healthcare providers.

See salaries and explore the career path for Medical Records Technician

Healthcare Data Analyst

The Healthcare Data Quality and Governance course offered by the University of California, Davis can provide a valuable foundation for individuals seeking a career as a Healthcare Data Analyst. This course covers essential topics such as data quality measurement and improvement, data validation, and data governance, equipping Healthcare Data Analysts with the skills and knowledge necessary to analyze and interpret healthcare data effectively. By understanding the principles of data quality management, Healthcare Data Analysts can contribute to the delivery of high-quality healthcare services and improve patient outcomes.

See salaries and explore the career path for Healthcare Data Analyst

Healthcare Administrator

Individuals pursuing a career as a Healthcare Administrator may find the Healthcare Data Quality and Governance course offered by the University of California, Davis to be beneficial. This course provides a comprehensive overview of data quality management principles and practices in healthcare, including data collection, storage, and analysis. Healthcare Administrators can leverage this knowledge to make informed decisions about data-driven initiatives, improve operational efficiency, and enhance the overall quality of healthcare delivery.

See salaries and explore the career path for Healthcare Administrator

Data Engineer

The Healthcare Data Quality and Governance course offered by the University of California, Davis may be useful for individuals seeking a career as a Data Engineer in the healthcare industry. This course provides a general understanding of data quality management principles and practices, including data integration, data transformation, and data storage. Data Engineers can apply this knowledge to design and implement data pipelines that ensure the accuracy and reliability of healthcare data, supporting data-driven decision-making and improved patient care.

See salaries and explore the career path for Data Engineer

Healthcare Information Systems Manager

The Healthcare Data Quality and Governance course provided by the University of California, Davis can provide a useful foundation for individuals aspiring to become Healthcare Information Systems Managers. This course introduces the principles and practices of data quality management in healthcare, including data collection, storage, and retrieval. Healthcare Information Systems Managers can leverage this knowledge to ensure the accuracy and completeness of patient health records, which are essential for effective patient care and communication among healthcare providers.

See salaries and explore the career path for Healthcare Information Systems Manager

Healthcare Data Architect

The Healthcare Data Quality and Governance course offered by the University of California, Davis can be useful for individuals pursuing a career as a Healthcare Data Architect. This course provides a general understanding of data quality management principles and practices, including data modeling, data integration, and data governance. Healthcare Data Architects can apply this knowledge to design and implement data architectures that ensure the accuracy and reliability of healthcare data, supporting data-driven decision-making and improved patient care.

See salaries and explore the career path for Healthcare Data Architect

Data Quality Manager

The Healthcare Data Quality and Governance course provided by the University of California, Davis may be useful for individuals seeking a career as a Data Quality Manager in the healthcare industry. This course provides a general understanding of data quality management principles and practices, including data quality assessment, data cleaning, and data governance. Data Quality Managers can apply this knowledge to improve the accuracy and reliability of healthcare data, ensuring its usability for data analysis and decision-making.

See salaries and explore the career path for Data Quality Manager

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Healthcare Data Quality and Governance.

States of Health

Save

Provides a comprehensive overview of healthcare data analytics, covering topics such as data management, data mining, and machine learning. It valuable resource for anyone who wants to learn more about this field.

States of Health: The Ethics and Consequences of...

Hardcover

Business Intelligence Guidebook

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Provides a comprehensive overview of data quality, covering topics such as data governance, data integrity, and data analytics. It valuable resource for anyone who wants to learn more about this field.

Business Intelligence Guidebook: From Data...

Paperback

$$$

Business Intelligence Guidebook: From Data...

Kindle Edition

Healthcare and Big Data Management

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Provides a comprehensive overview of big data in healthcare, covering topics such as data management, data analytics, and machine learning. It valuable resource for anyone who wants to learn more about this field.

Healthcare and Big Data Management (Advances in...

Kindle Edition

$$$$

Breakthrough

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Provides a comprehensive overview of data quality for data warehouses, covering topics such as data management, data cleansing, and data integration. It valuable resource for anyone who wants to learn more about this field.

Breakthrough: From Innovation to Impact

Paperback

Microsoft Office Access 2007 All-in-One Desk...

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Provides a practical guide to data management, covering topics such as data governance, data analytics, and data integration. It valuable resource for anyone who wants to learn more about this field.

Microsoft Office Access 2007 All-in-One Desk...

Kindle Edition

Big Data, Big Analytics

Save

Provides a comprehensive overview of big data, covering topics such as data management, data analytics, and machine learning. It valuable resource for anyone who wants to learn more about this field.

Big Data, Big Analytics: Emerging Business...

Hardcover

Big Data, Big Analytics: Emerging Business...

Kindle Edition

Healthcare Data Quality and Governance

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Healthcare data quality and governance

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