Analytical Solutions to Common Healthcare Problems from Coursera

What's inside

Syllabus

Solving the Business Problems

In this module, you will explain why comparing healthcare providers with respect to quality can be beneficial, and what types of metrics and reporting mechanisms can drive quality improvement. You'll recognize the importance of making quality comparisons fairer with risk adjustment and be able to defend this methodology to healthcare providers by stating the importance of clinical and non-clinical adjustment variables, and the importance of high-quality data. You will distinguish the important conceptual steps of performing risk-adjustment; and be able to express the serious nature of medical errors within the US healthcare system, and communicate to stakeholders that reliable performance measures and associated interventions are available to help solve this tremendous problem. You will distinguish the traits that help categorize people into the small group of super-utilizers and summarize how this population can be identified and evaluated. You'll inform healthcare managers how healthcare fraud differs from other types of fraud by illustrating various schemes that fraudsters use to expropriate resources. You will discuss analytical methods that can be applied to healthcare data systems to identify potential fraud schemes.

Algorithms and "Groupers"

In this module, you will define clinical identification algorithms, identify how data are transformed by algorithm rules, and articulate why some data types are more or less reliable than others when constructing the algorithms. You will also review some quality measures that have NQF endorsement and that are commonly used among health care organizations. You will discuss how groupers can help you analyze a large sample of claims or clinical data. You'll access open source groupers online, and prepare an analytical plan to map codes to more general and usable diagnosis and procedure categories. You will also prepare an analytical plan to map codes to more general and usable analytical categories as well as prepare a value statement for various commercial groupers to inform analytic teams what benefits they can gain from these commercial tools in comparison to the licensing and implementation costs.

ETL (Extract, Transform, and Load)

In this module, you will describe logical processes used by database and statistical programmers to extract, transform, and load (ETL) data into data structures required for solving medical problems. You will also harmonize data from multiple sources and prepare integrated data files for analysis.

From Data to Knowledge

In this module, you will describe to an analytical team how risk stratification can categorize patients who might have specific needs or problems. You'll list and explain the meaning of the steps when performing risk stratification. You will apply some analytical concepts such as groupers to large samples of Medicare data, also use the data dictionaries and codebooks to demonstrate why understanding the source and purpose of data is so critical. You will articulate what is meant by the general phase -- “Context matters when analyzing and interpreting healthcare data.” You will also communicate specific questions and ideas that will help you and others on your analytical team understand the meaning of your data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores foundational skills regarding working with healthcare data, including mining, modelling, analytics, and visualization

Taught by Brian Paciotti, a leading expert in the field

Involves hands-on projects to reinforce learning

Provides learners with a practical foundation for a career in healthcare analytics

Covers current issues and trends in the healthcare industry, making it highly relevant to the field

Requires no prior knowledge of healthcare or data analytics, making it accessible to a wide range of learners

Reviews summary

Informative healthcare analytics course

According to students, this course offers excellent material that is engaging and very informative for those new to data analytics in healthcare. Learners found that the lectures provided a well-structured approach, though some wish that there were more practical examples provided. Overall, this course is a resourceful introduction to healthcare data analytics.

Content is well-structured and easy to follow.

"The course content is well-structured and easy to follow."

"The course provides a good overview of the healthcare data analytics process."

Provides an excellent introduction to healthcare data analytics.

"Excellent material and a great introduction to data analytics!"

"Very informative for those new to data analytics."

"This course is an excellent starting point for anyone looking to learn more about healthcare data analytics."

Could provide more practical examples to reinforce concepts.

"Would have preferred more practical examples on data analysis."

"The course could benefit from more hands-on exercises."

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 Analytical Solutions to Common Healthcare Problems with these activities:

Review Healthcare Data Fundamentals

Show steps

By refreshing your knowledge of healthcare data fundamentals, including data structures and management, you'll be better prepared to succeed in this course.

Browse courses on Healthcare Data

Show steps

Review notes or textbooks on healthcare data structures
Review articles or blog posts on healthcare data management

Read 'Healthcare Data Analytics: A Practical Guide'

Show steps

This book provides a comprehensive overview of healthcare data analytics, covering key concepts, techniques, and case studies.

Show steps

Read chapters relevant to the course topics
Take notes and highlight important sections
Discuss the book's concepts with classmates or colleagues

Form a Study Group with Classmates

Show steps

Collaborating with classmates in a study group will provide you with a supportive environment to discuss course materials, clarify concepts, and prepare for assessments.

Show steps

Identify classmates who share similar interests or schedules
Set up regular meetings and create a study schedule
Review course materials together, discuss concepts, and practice problem-solving

Five other activities

Expand to see all activities and additional details

Show all eight activities

Attend Healthcare Data Conferences or Webinars

Show steps

By attending healthcare data conferences or webinars, you'll have the opportunity to learn about the latest trends, connect with experts, and expand your professional network.

Browse courses on Healthcare Data

Show steps

Identify upcoming healthcare data conferences or webinars
Register and attend the events
Actively participate in discussions and networking sessions

Follow Tutorials on Data Extraction and Transformation

Show steps

Working through tutorials on data extraction and transformation will provide you with hands-on experience and a deeper understanding of these essential processes.

Browse courses on Data Extraction

Show steps

Identify online tutorials or courses on data extraction and transformation
Follow the tutorials step-by-step, practicing the techniques on sample datasets
Experiment with different data extraction and transformation tools

Practice Analyzing Healthcare Data

Show steps

Regular practice in analyzing healthcare data will enhance your analytical skills and ability to draw meaningful insights from data.

Show steps

Find publicly available healthcare datasets or use sample datasets provided in the course
Apply data analysis techniques to identify patterns, trends, and outliers
Interpret the results and draw conclusions based on the data

Develop a Data Dictionary for a Healthcare Project

Show steps

Creating a data dictionary for a healthcare project will not only enhance your understanding of data structures and organization but also provide valuable documentation for future reference.

Show steps

Gather data from various sources and identify the different types of data elements
Define the structure, format, and meaning of each data element
Create a comprehensive data dictionary that documents all the data elements

Contribute to Healthcare Data Analysis Projects

Show steps

By contributing to open-source healthcare data analysis projects, you'll gain practical experience, connect with like-minded individuals, and make a valuable contribution to the community.

Browse courses on Open Source

Show steps

Identify open-source healthcare data analysis projects on platforms like GitHub
Review the project documentation and identify areas where you can contribute
Make code contributions, report bugs, or participate in discussions

Career center

Learners who complete Analytical Solutions to Common Healthcare Problems will develop knowledge and skills that may be useful to these careers:

Healthcare Informatics Specialist

Healthcare Informatics Specialists use technology to improve the quality and efficiency of healthcare delivery. This course may be useful for Healthcare Informatics Specialists because it teaches how to use data to improve the quality and efficiency of healthcare delivery. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Healthcare Informatics Specialist

Healthcare Researcher

Healthcare Researchers conduct research to improve the quality and effectiveness of healthcare. This course may be useful for Healthcare Researchers because it teaches how to use data to conduct healthcare research. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Healthcare Researcher

Data Scientist

Data Scientists use data to solve problems and make predictions. This course may be useful for Data Scientists because it teaches how to use data to solve healthcare problems. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Data Scientist

Healthcare Manager

Healthcare Managers plan, direct, and coordinate the delivery of healthcare services. This course may be useful for Healthcare Managers because it teaches how to use data to improve the quality and efficiency of healthcare delivery. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Healthcare Manager

Healthcare Consultant

Healthcare Consultants provide advice to healthcare organizations on how to improve their operations and performance. This course may be useful for Healthcare Consultants because it teaches how to identify and solve common healthcare problems. It also teaches how to use data to make informed decisions.

See salaries and explore the career path for Healthcare Consultant

Statistician

Statisticians collect, analyze, and interpret data. This course may be useful for Statisticians because it teaches how to use data to solve healthcare problems. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Statistician

Epidemiologist

Epidemiologists investigate the causes and patterns of disease. This course may be useful for Epidemiologists because it teaches how to use data to understand the social determinants of health. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Epidemiologist

Health Economist

Health Economists study the costs and benefits of healthcare. This course may be useful for Health Economists because it teaches how to use data to understand the costs and benefits of healthcare interventions. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Health Economist

Healthcare Policy Analyst

Healthcare Policy Analysts develop and evaluate healthcare policies. This course may be useful for Healthcare Policy Analysts because it teaches how to use data to inform healthcare policy decisions. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Healthcare Policy Analyst

Medical Director

Medical Directors oversee the medical care provided by a healthcare organization. This course may be useful for Medical Directors because it teaches how to use data to improve the quality and efficiency of healthcare delivery. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Medical Director

Nurse Manager

Nurse Managers plan, direct, and coordinate the delivery of nursing care. This course may be useful for Nurse Managers because it teaches how to use data to improve the quality and efficiency of nursing care delivery. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Nurse Manager

Healthcare Data Analyst

Healthcare Data Analysts clean, analyze, interpret, and present healthcare data to help healthcare organizations make informed decisions. This course may be useful for Healthcare Data Analysts because it teaches how to extract, transform, and load data into data structures required for solving medical problems. It also teaches how to harmonize data from multiple sources and prepare integrated data files for analysis.

See salaries and explore the career path for Healthcare Data Analyst

Physician Assistant

Physician Assistants provide healthcare services under the supervision of a physician. This course may be useful for Physician Assistants because it teaches how to use data to improve the quality and effectiveness of healthcare delivery. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Physician Assistant

Registered Nurse

Registered Nurses provide direct patient care. This course may be useful for Registered Nurses because it teaches how to use data to improve the quality and effectiveness of patient care. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Registered Nurse

Social Worker

Social Workers provide counseling and support to individuals and families. This course may be useful for Social Workers because it teaches how to use data to understand the social determinants of health. It also teaches how to identify and solve common healthcare problems.

See salaries and explore the career path for Social Worker