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Healthcare Data Quality and Governance
Doug Berman
Doug Berman
Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes.
Read more
Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes.
Read more
Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes.
"Big Data" makes headlines, but that data must be managed to maintain quality. High-quality data is one of the most valuable assets gathered and used by any business. This holds greater significance in healthcare where the maintenance and governance of data quality directly impact people’s lives. This course will explain how data quality is improved and maintained. You’ll learn why data quality matters, then see how healthcare professionals monitor, manage and improve data quality. You’ll see how human and computerized systems interact to sustain data quality through data governance. You’ll discover how to measure data quality with metadata, tracking data provenance, validating and verifying data, along with a communication framework commonly used in healthcare settings.
This knowledge matters because high-quality data will be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. You will make yourself more of an asset in the healthcare field by what you gain from this course.
Register for this course and see more details by visiting:
OpenCourser.com/course/lclyup/healthcare
What's inside
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.
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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.
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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.
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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
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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.""
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
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.
Data Analyst
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.
Clinical Data Manager
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.
Healthcare Consultant
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.
Data Governance Specialist
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.
Healthcare Data Scientist
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.
Health Informatics Specialist
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.
Quality Assurance Analyst
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.
Medical Records Technician
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.
Healthcare Data Analyst
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.
Healthcare Administrator
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.
Data Engineer
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.
Healthcare Information Systems Manager
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.
Healthcare Data Architect
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.
Data Quality Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/lclyup/healthcare
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.
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.
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.
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.
Save
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lclyup/healthcare
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Effort
4 weeks of study, 2-5 hours/week
Level
Intermediate
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Coursera
Institution
University of California, Davis
Instructor
Doug Berman
Language
English
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This course belongs to a
collection
called
Health Information Literacy for Data Analytics. It's comprised of four courses:
- Healthcare Data Models
- Analytical Solutions to Common Healthcare Problems
- Healthcare Data Quality and Governance (viewing)
- Healthcare Data Literacy
Good to know
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
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