Healthcare Data Literacy from Coursera

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.

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

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."

"Great 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."

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 Literacy with these activities:

Organize and Review Course Materials

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Stay organized and reinforce your understanding by regularly compiling, reviewing, and summarizing course materials.

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Create a system for organizing notes, assignments, and other course materials
Review materials regularly to reinforce your understanding
Summarize key concepts and ideas to enhance your retention

Practice Data Analysis Techniques

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Reinforce data analysis skills through practice drills, enhancing proficiency in handling and interpreting healthcare data.

Browse courses on Data Analysis Techniques

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Solve practice problems involving healthcare datasets
Apply statistical methods to analyze healthcare data
Visualize and interpret healthcare data using appropriate tools

Show all two activities

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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