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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.
Read more
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.
Read more
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
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
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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.""
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
Show steps
Brush up on data quality concepts to ensure a solid foundation for the course's more advanced topics.
Browse courses on
Data Quality
Show steps
-
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
Show steps
Review the basic principles of data quality in the healthcare context to strengthen your foundation for the course.
Browse courses on
Data Quality
Show steps
-
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
Show steps
Revisit fundamental concepts of data quality and governance to solidify your understanding before delving into the course material.
Browse courses on
Data Quality
Show steps
-
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
Expand to see all activities and additional details
Show all 30 activities
Review Health Information Systems
Show steps
Refreshes understanding of health information systems to provide a stronger foundation for the course.
Browse courses on
Health Information Systems
Show steps
-
Review notes from previous coursework on health information systems.
-
Practice using health information management software.
Practice Data Analysis Fundamentals
Show steps
Refresh your understanding of data analysis fundamentals to strengthen your foundation for this course.
Browse courses on
Data Analysis
Show steps
-
Review concepts of data collection, cleaning, and exploration
-
Practice data visualization techniques
-
Solve basic data analysis problems
Review Healthcare Data Quality
Show steps
Refresh your memory about the importance and key principles of healthcare data quality as a foundation for studying this course.
Show steps
-
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
Show steps
Attend a workshop led by experts to gain in-depth knowledge of data quality principles and best practices specific to the healthcare industry.
Show steps
-
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
Show steps
Enhance your practical skills by practicing with various data quality tools and techniques.
Show steps
-
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
Show steps
Engage with peers to share knowledge, discuss challenges, and reinforce concepts related to data quality.
Show steps
-
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
Show steps
Enhances understanding of data validation and verification techniques.
Browse courses on
Data Validation
Show steps
-
Complete online exercises on data validation and verification.
-
Practice validating and verifying data using real-world datasets.
Solve Data Quality Control Exercises
Show steps
Enhance your understanding of data quality control by completing exercises that simulate real-world scenarios.
Browse courses on
Data Quality
Show steps
-
Identify and correct data errors
-
Validate data against business rules
-
Monitor data quality metrics
Data Quality Evaluation Exercises
Show steps
Reinforce what you learn about data quality evaluation by actively applying techniques and methodologies.
Browse courses on
Data Governance
Show steps
-
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
Show steps
Network with professionals in the field and learn about the latest trends in healthcare data quality.
Show steps
-
Research upcoming healthcare data quality conferences
-
Register for a conference and attend sessions
-
Network with other attendees and speakers
Attend Healthcare Data Management Conferences
Show steps
Provides opportunities to network with professionals in the healthcare data management field.
Show steps
-
Research upcoming healthcare data management conferences.
-
Register and attend conferences.
-
Network with professionals and learn about industry trends.
Attend a Data Quality Workshop
Show steps
Expand your knowledge and network by participating in a workshop specifically focused on data quality.
Show steps
-
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
Show steps
Solidify your understanding of data quality principles by creating your own management plan.
Browse courses on
Data Quality Management
Show steps
-
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
Show steps
Expand your understanding of data governance by exploring best practices and case studies.
Browse courses on
Data Governance
Show steps
-
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
Show steps
Gain hands-on experience in healthcare data quality by volunteering for a project.
Show steps
-
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
Show steps
Offers hands-on experience in healthcare data management and exposure to real-world challenges.
Show steps
-
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
Show steps
Explore best practices and guidelines for data governance in healthcare to ensure the long-term quality and integrity of data.
Show steps
-
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
Show steps
Deepen your knowledge of data governance best practices by following guided tutorials that provide practical insights.
Browse courses on
Data Governance
Show steps
-
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
Show steps
Gain practical experience and contribute to the healthcare community by volunteering on an open-source data project.
Browse courses on
Healthcare Data
Show steps
-
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
Show steps
Applies course concepts to practical scenarios by creating a data quality improvement plan.
Show steps
-
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
Show steps
Apply your knowledge of data quality and governance to create a plan for improving data quality in a real-world setting.
Show steps
-
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
Show steps
Create a curated collection of resources on healthcare data quality to support your learning and professional development.
Show steps
-
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
Show steps
Enhances data management skills and provides exposure to industry-standard tools and technologies.
Browse courses on
Data Management
Show steps
-
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
Show steps
Apply your knowledge and skills to conduct a data quality improvement project in a real-world healthcare setting.
Show steps
-
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
Show steps
Apply your knowledge by creating a comprehensive data quality improvement plan that addresses real-world challenges.
Browse courses on
Data Quality
Show steps
-
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
Show steps
Demonstrate your understanding of data governance by designing a comprehensive framework for a specific organization.
Browse courses on
Data Governance
Show steps
-
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
Show steps
Challenge yourself and showcase your skills by participating in a competition that involves analyzing healthcare data.
Browse courses on
Data Analytics
Show steps
-
Identify and register for a suitable challenge
-
Analyze the provided healthcare data
-
Develop and implement data analysis techniques
-
Submit your analysis and results
Reviewing core concepts of data quality
Show steps
Brush up on data quality concepts to ensure a solid foundation for the course's more advanced topics.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- 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
Show steps
Review the basic principles of data quality in the healthcare context to strengthen your foundation for the course.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- 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
Show steps
Revisit fundamental concepts of data quality and governance to solidify your understanding before delving into the course material.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all 30 activities
Review Health Information Systems
Show steps
Refreshes understanding of health information systems to provide a stronger foundation for the course.
Browse courses on
Health Information Systems
Show steps
Show steps
Show steps
- Review notes from previous coursework on health information systems.
- Practice using health information management software.
Practice Data Analysis Fundamentals
Show steps
Refresh your understanding of data analysis fundamentals to strengthen your foundation for this course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review concepts of data collection, cleaning, and exploration
- Practice data visualization techniques
- Solve basic data analysis problems
Review Healthcare Data Quality
Show steps
Refresh your memory about the importance and key principles of healthcare data quality as a foundation for studying this course.
Show steps
Show steps
Show steps
- 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
Show steps
Attend a workshop led by experts to gain in-depth knowledge of data quality principles and best practices specific to the healthcare industry.
Show steps
Show steps
Show steps
- 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
Show steps
Enhance your practical skills by practicing with various data quality tools and techniques.
Show steps
Show steps
Show steps
- 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
Show steps
Engage with peers to share knowledge, discuss challenges, and reinforce concepts related to data quality.
Show steps
Show steps
Show steps
- 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
Show steps
Enhances understanding of data validation and verification techniques.
Browse courses on
Data Validation
Show steps
Show steps
Show steps
- Complete online exercises on data validation and verification.
- Practice validating and verifying data using real-world datasets.
Solve Data Quality Control Exercises
Show steps
Enhance your understanding of data quality control by completing exercises that simulate real-world scenarios.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- Identify and correct data errors
- Validate data against business rules
- Monitor data quality metrics
Data Quality Evaluation Exercises
Show steps
Reinforce what you learn about data quality evaluation by actively applying techniques and methodologies.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- 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
Show steps
Network with professionals in the field and learn about the latest trends in healthcare data quality.
Show steps
Show steps
Show steps
- Research upcoming healthcare data quality conferences
- Register for a conference and attend sessions
- Network with other attendees and speakers
Attend Healthcare Data Management Conferences
Show steps
Provides opportunities to network with professionals in the healthcare data management field.
Show steps
Show steps
Show steps
- Research upcoming healthcare data management conferences.
- Register and attend conferences.
- Network with professionals and learn about industry trends.
Attend a Data Quality Workshop
Show steps
Expand your knowledge and network by participating in a workshop specifically focused on data quality.
Show steps
Show steps
Show steps
- 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
Show steps
Solidify your understanding of data quality principles by creating your own management plan.
Browse courses on
Data Quality Management
Show steps
Show steps
Show steps
- 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
Show steps
Expand your understanding of data governance by exploring best practices and case studies.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- 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
Show steps
Gain hands-on experience in healthcare data quality by volunteering for a project.
Show steps
Show steps
Show steps
- 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
Show steps
Offers hands-on experience in healthcare data management and exposure to real-world challenges.
Show steps
Show steps
Show steps
- 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
Show steps
Explore best practices and guidelines for data governance in healthcare to ensure the long-term quality and integrity of data.
Show steps
Show steps
Show steps
- 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
Show steps
Deepen your knowledge of data governance best practices by following guided tutorials that provide practical insights.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- 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
Show steps
Gain practical experience and contribute to the healthcare community by volunteering on an open-source data project.
Browse courses on
Healthcare Data
Show steps
Show steps
Show steps
- 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
Show steps
Applies course concepts to practical scenarios by creating a data quality improvement plan.
Show steps
Show steps
Show steps
- 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
Show steps
Apply your knowledge of data quality and governance to create a plan for improving data quality in a real-world setting.
Show steps
Show steps
Show steps
- 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
Show steps
Create a curated collection of resources on healthcare data quality to support your learning and professional development.
Show steps
Show steps
Show steps
- 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
Show steps
Enhances data management skills and provides exposure to industry-standard tools and technologies.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- 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
Show steps
Apply your knowledge and skills to conduct a data quality improvement project in a real-world healthcare setting.
Show steps
Show steps
Show steps
- 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
Show steps
Apply your knowledge by creating a comprehensive data quality improvement plan that addresses real-world challenges.
Browse courses on
Data Quality
Show steps
Show steps
Show steps
- 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
Show steps
Demonstrate your understanding of data governance by designing a comprehensive framework for a specific organization.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- 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
Show steps
Challenge yourself and showcase your skills by participating in a competition that involves analyzing healthcare data.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- 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
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.
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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.
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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.
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
11 hours to complete
Level
Intermediate
Via
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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