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Healthcare Data Literacy

Brian Paciotti

This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We'll examine the inner workings of data and conceptual harmony offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.

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What's inside

Syllabus

Healthcare 101
In this module, you will be able to identify how biological and social systems are features of human well-being and health. You'll be able to describe important organizations in the US healthcare system and be able to discuss specific examples that document high cost and possible waste in the US healthcare system. You'll be able to identify and discuss the knowing-doing gap and be able to describe evidence-based efforts to transform fragmented care processes into coordinated patient-centered activities.
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Concepts and Categories
In this module, you will be able to compare forms of communication and describe why people us ontologies to describe the world. You'll be able to describe the evolution of standardized railroads in the US and recognize why the evolution of railroad tracks also applies to medical terminologies. You'll be able to analyze a dataset with disease codes and also be able to select which codes refer to specific diseases. You'll be able to match different terminologies with different descriptive domains as well as be able to contrast the different ways of organizing information into hierarchies or other categories.
Healthcare Data
In this module, you will be able to identify different types of medical processes and be able to explain why specific data formats emerged from these varied processes. You'll be able to list numerous data types that are found within EHRs and link specific clinical processes that created these outputs. You'll be able to trace why various types of administrative data are collected and describe the value of this data for analytics. You'll be able to identify the common ways that gene sequences are stored in computer readable files and be able to describe how big data formats are different than common relational database technologies that require a lot of data modeling and planning.
Data and Conceptual Harmony
In this module, you will be able to tell leaders and coworkers why they should invest time in creating data dictionaries and other meta-data. You'll be able to describe why one burn registry had data fragmentation issues, and how a variety of standardization and centralization processes helped to achieve data harmony. You'll be able to answer why it is necessary to integrate data, even though the data is coming from disparate sources. You'll be able to perform data mapping as well as communicate the technical terms used to describe and perform record linkages.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a foundation for learners who are new to healthcare data science
Examines different data types and sources used in healthcare, which is essential for data scientists in the field
Teaches learners about the importance of data standards in healthcare, which is crucial for data integration and analysis

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Reviews summary

Healthcare data literacy: intro for beginners

Learners say this introductory course on healthcare data literacy is well received. Students mention that the course provides a good foundation in various concepts, including medical terminologies, data analytics, and healthcare coding. Reviewers say they appreciate the practical insights and engaging assignments that helped them apply what they learned. Additionally, they found the resources provided in the course to be very valuable.
Course provides helpful materials.
"Some of this was over my head at first, but, by the end, i think i was able to put it together."
"Everything is laid out well and the lectures and slides are great."
"And the best part is all the resources they pointed me towards that i can use in my role"
Good explanations of healthcare data.
"Perfectly paced, well-informative"
"Overall good course, good explanation of medical terminologies"
"This is good course to learn the challenge of RWD. Thank you so much."
Solid intro to healthcare data.
"A very good course about healthcare data introduction."
"G​reat course. Some formatting issues made quizzes hard to read, but overall great intro. "
"Great introduction to Healthcare Data."
Peer grading can be unreliable.
"I had issues with peer-graded assignments in this course."
"It looks like most of these people are just scamming Coursera!"
"Coursera's solution to this problem is really funny! Submit it again!"
Forum responses are not reliable.
"Overall I liked the course. I am giving 4 star due to issue with lack of forum responses. Did not look any TA was assigned to the program."
"The discussions were interesting and I think if there were less questions, there may be more student participation."
"I had to extend my deadline since the reviewer gave me feedback more than a week later."

Career center

Learners who complete Healthcare Data Literacy will develop knowledge and skills that may be useful to these careers:
Medical Coder
Medical Coders assign codes to medical records to ensure that they are accurately and consistently processed. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Medical Coders who must protect patient privacy and confidentiality.
Healthcare Data Analyst
Healthcare Data Analysts are responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and outcomes. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to make informed decisions. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Healthcare Data Analysts who must protect patient privacy and confidentiality.
Healthcare Data Scientist
Healthcare Data Scientists use advanced statistical and machine learning techniques to analyze healthcare data and develop predictive models that can improve patient care and outcomes. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to develop predictive models. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Healthcare Data Scientists who must protect patient privacy and confidentiality.
Healthcare Informatics Specialist
Healthcare Informatics Specialists design, implement, and manage healthcare information systems. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Healthcare Informatics Specialists who must protect patient privacy and confidentiality.
Medical Records Technician
Medical Records Technicians collect, organize, and maintain medical records. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Medical Records Technicians who must protect patient privacy and confidentiality.
Healthcare Consultant
Healthcare Consultants provide advice to healthcare organizations on how to improve their operations and performance. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Healthcare Consultants who must protect patient privacy and confidentiality.
Public Health Analyst
Public Health Analysts collect, analyze, and interpret data to identify and address public health problems. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Public Health Analysts who must protect patient privacy and confidentiality.
Clinical Research Coordinator
Clinical Research Coordinators manage clinical trials and studies. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Clinical Research Coordinators who must protect patient privacy and confidentiality.
Healthcare Policy Analyst
Healthcare Policy Analysts develop and analyze policies to improve the healthcare system. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Healthcare Policy Analysts who must protect patient privacy and confidentiality.
Health Information Manager
Health Information Managers oversee the management of health information in healthcare organizations. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Health Information Managers who must protect patient privacy and confidentiality.
Health Economist
Health Economists analyze the costs and benefits of healthcare interventions. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Health Economists who must protect patient privacy and confidentiality.
Health Services Researcher
Health Services Researchers conduct research to improve the delivery and quality of healthcare. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Health Services Researchers who must protect patient privacy and confidentiality.
Medical Librarian
Medical Librarians manage and provide access to medical information. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Medical Librarians who must protect patient privacy and confidentiality.
Data Manager
Data Managers oversee the management of data in organizations. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Data Managers who must protect patient privacy and confidentiality.
Statistician
Statisticians collect, analyze, and interpret data to solve problems. The Healthcare Data Literacy course provides a strong foundation for this role by teaching students about the different types of healthcare data, how to access and analyze it, and how to use it to improve patient care and outcomes. The course also covers the ethical and legal considerations of working with healthcare data, which is essential for Statisticians who must protect patient privacy and confidentiality.

Reading list

We've selected 13 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 Literacy.
Provides a comprehensive overview of healthcare data analytics, including data collection, storage, analysis, and interpretation. It valuable resource for students and professionals in the field.
Covers a wide range of topics that are essential for understanding the fundamentals of healthcare data analysis, making it an excellent resource for this course.
Provides a comprehensive overview for working with and analyzing healthcare data, and it includes many case studies that illustrate real-world applications.
Is designed for healthcare professionals who want to learn more about data analytics. It covers a wide range of topics, from data collection and analysis to data visualization and interpretation.
Provides a comprehensive overview of machine learning for healthcare. It covers a wide range of topics, from the basics of machine learning to the latest advances in healthcare machine learning.
Provides a detailed overview of healthcare data management and analytics. It covers a wide range of topics, including data governance, data quality, and data security.
This comprehensive guide offers a great introduction to the topic of healthcare data analysis.
Provides a comprehensive overview of data integration for healthcare. It covers a wide range of topics, from the basics of data integration to the latest advances in healthcare data integration.
Provides a comprehensive overview of precision medicine. It covers a wide range of topics, from the basics of genetics to the latest advances in personalized medicine.
Gives an overview of how data analytics is used in healthcare, making it an excellent supplemental resource for beginners.
Provides a comprehensive overview of healthcare informatics. It covers a wide range of topics, from the basics of health information technology to the latest advances in healthcare data analytics.
Provides a comprehensive overview of healthcare data analytics, including topics such as data mining, machine learning, and statistical modeling.

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