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Harold P. Lehmann, MD, Ph.D.
and
Paul Nagy, PhD, FSIIM
For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.
Register for this course and see more details by visiting:
OpenCourser.com/course/rhouvv/the
What's inside
Syllabus
Knowing Where to Intervene
In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.
Read more
Syllabus
Knowing Where to Intervene
In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.
Read more
Defining Decision Support
In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.
Using Transactional and Summative Data and Knowledge for Decision Support
In this module, we return to decision support, focusing on rules-- the key structure in most decision support. We'll provide a key framework for making sure you have all the minimum components for ensuring a successful implementation. We'll also address issues of languages used by rules and how to keep rules consistent within and between institutions.
Eliciting and Creating Knowledge for Decision Support
In this module, we will go behind the scenes of decision support, examining where and how we get the knowledge that drives decision support --including data science-- for generating knowledge from data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides knowledge that is applicable to patient, clinician, and manager levels
Teaches how to properly design decision support interventions
Helps with selecting the appropriate technology for healthcare interventions
Save this course
Save The Outcomes and Interventions of Health Informatics to your list so you can find it easily later:
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Reviews summary
Highly rated health informatics course
Learners say this in-depth health informatics course is well structured and thorough. Students say it is well suited for beginners in the field. Overall, learners are very satisfied and recommend it.
Organized and easy to follow
"This was a great course. It was in-depth and very thorough for my beginner skillset."
Suitable for those new to health informatics
"It was in-depth and very thorough for my beginner skillset."
"Wonderful content delivery and appropriate academic level for people new to informatics delivery."
Occasional audio and proofreading issues
"The course material does not sound connected together or clear. Yet when it gets to the assignment, it got much clear."
"Many parts of the text is not heard (no audio) or does not make any sense."
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 The Outcomes and Interventions of Health Informatics with these
activities:
Refresh Fundamentals of Epidemiology
Show steps
Reinforce your knowledge of core epidemiological principles for better comprehension of advanced concepts in the course.
Browse courses on
Epidemiology
Show steps
-
Review core concepts such as measures of disease frequency, study designs, and bias
-
Apply principles to real-world examples and case studies
Review Statistical Methods in Data Science
Show steps
Enhance your statistical foundation to strengthen your understanding of advanced data analysis techniques used in clinical decision support.
Browse courses on
Statistical Methods
Show steps
-
Revisit concepts of probability, distributions, hypothesis testing, and regression analysis
-
Work through practice problems and examples to solidify understanding
Explore Decision Support Tools
Show steps
Familiarize yourself with various decision support tools to gain practical insights into their application in clinical settings.
Browse courses on
Decision Support Systems
Show steps
-
Identify different types of decision support tools, such as clinical guidelines, risk calculators, and predictive models
-
Follow tutorials on how to use these tools in real-world scenarios
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in Peer Discussion Groups
Show steps
Engage with peers to exchange ideas, clarify concepts, and broaden your perspectives on clinical decision support.
Show steps
-
Join or form study groups with classmates
-
Discuss course materials, case studies, and emerging trends
Attend Decision Support Workshops
Show steps
Gain practical insights and hands-on experience in decision support implementation by attending workshops.
Browse courses on
Clinical Decision Support
Show steps
-
Identify relevant workshops and conferences
-
Participate in interactive sessions, demonstrations, and discussions
Develop Case Studies on Decision Support Implementation
Show steps
Deepen your understanding of decision support implementation challenges and best practices by creating case studies.
Browse courses on
Case Studies
Show steps
-
Analyze real-world examples of successful and unsuccessful decision support interventions
-
Identify key factors influencing implementation outcomes
-
Synthesize findings into comprehensive case studies
Solve Decision Support Coding Challenges
Show steps
Enhance your technical proficiency in developing decision support tools by practicing coding challenges.
Browse courses on
Clinical Decision Support Systems
Show steps
-
Access online coding platforms or textbooks with decision support coding exercises
-
Solve coding problems independently or in collaboration with peers
Mentor Junior Students in Clinical Decision Support
Show steps
Solidify your understanding of clinical decision support while supporting others in their learning journey.
Show steps
-
Connect with junior students seeking guidance in decision support-related topics
-
Provide mentorship, answer questions, and share resources
Refresh Fundamentals of Epidemiology
Show steps
Reinforce your knowledge of core epidemiological principles for better comprehension of advanced concepts in the course.
Browse courses on
Epidemiology
Show steps
Show steps
Show steps
- Review core concepts such as measures of disease frequency, study designs, and bias
- Apply principles to real-world examples and case studies
Review Statistical Methods in Data Science
Show steps
Enhance your statistical foundation to strengthen your understanding of advanced data analysis techniques used in clinical decision support.
Browse courses on
Statistical Methods
Show steps
Show steps
Show steps
- Revisit concepts of probability, distributions, hypothesis testing, and regression analysis
- Work through practice problems and examples to solidify understanding
Explore Decision Support Tools
Show steps
Familiarize yourself with various decision support tools to gain practical insights into their application in clinical settings.
Browse courses on
Decision Support Systems
Show steps
Show steps
Show steps
- Identify different types of decision support tools, such as clinical guidelines, risk calculators, and predictive models
- Follow tutorials on how to use these tools in real-world scenarios
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in Peer Discussion Groups
Show steps
Engage with peers to exchange ideas, clarify concepts, and broaden your perspectives on clinical decision support.
Show steps
Show steps
Show steps
- Join or form study groups with classmates
- Discuss course materials, case studies, and emerging trends
Attend Decision Support Workshops
Show steps
Gain practical insights and hands-on experience in decision support implementation by attending workshops.
Browse courses on
Clinical Decision Support
Show steps
Show steps
Show steps
- Identify relevant workshops and conferences
- Participate in interactive sessions, demonstrations, and discussions
Develop Case Studies on Decision Support Implementation
Show steps
Deepen your understanding of decision support implementation challenges and best practices by creating case studies.
Browse courses on
Case Studies
Show steps
Show steps
Show steps
- Analyze real-world examples of successful and unsuccessful decision support interventions
- Identify key factors influencing implementation outcomes
- Synthesize findings into comprehensive case studies
Solve Decision Support Coding Challenges
Show steps
Enhance your technical proficiency in developing decision support tools by practicing coding challenges.
Browse courses on
Clinical Decision Support Systems
Show steps
Show steps
Show steps
- Access online coding platforms or textbooks with decision support coding exercises
- Solve coding problems independently or in collaboration with peers
Mentor Junior Students in Clinical Decision Support
Show steps
Solidify your understanding of clinical decision support while supporting others in their learning journey.
Show steps
Show steps
Show steps
- Connect with junior students seeking guidance in decision support-related topics
- Provide mentorship, answer questions, and share resources
Career center
Learners who complete The Outcomes and Interventions of Health Informatics will develop knowledge and skills
that may be useful to these careers:
Health Informatics Specialist
Health Informatics Specialist
The Outcomes and Interventions of Health Informatics is a highly relevant course for Health Informatics Specialists. It offers a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By delving into these areas, Health Informatics Specialists can gain valuable knowledge and skills that can help them excel in their roles, enabling them to effectively manage and utilize health data to improve healthcare delivery.
Health Data Analyst
Health Data Analyst
Health Data Analysts who enroll in The Outcomes and Interventions of Health Informatics course can gain valuable insights into the principles and techniques used in handling and analyzing health data. The course can help them develop expertise in data management, data analysis, and data visualization, equipping them with the skills necessary to extract meaningful insights from healthcare data. This knowledge can support Health Data Analysts in contributing to improved decision-making and healthcare outcomes.
Medical Informatics Specialist
Medical Informatics Specialist
The Outcomes and Interventions of Health Informatics can greatly benefit Medical Informatics Specialists. This course provides a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Medical Informatics Specialists can enhance their ability to design, implement, and evaluate health informatics solutions, contributing to improved patient care and healthcare delivery.
Health Information Manager
Health Information Manager
The Outcomes and Interventions of Health Informatics is a highly relevant course for Health Information Managers. It offers a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Health Information Managers can enhance their ability to manage and utilize health data effectively, contributing to improved patient care and healthcare outcomes.
Clinical Decision Support Specialist
Clinical Decision Support Specialist
This course, The Outcomes and Interventions of Health Informatics, is a great fit for Clinical Decision Support Specialists. It can help build a solid understanding of the principles and practices of decision support in healthcare, including the design, implementation, and evaluation of decision support tools and systems. The knowledge gained from this course can assist Clinical Decision Support Specialists in enhancing the effectiveness of clinical decision-making and improving patient outcomes.
Public Health Analyst
Public Health Analyst
Public Health Analysts can gain valuable insights from The Outcomes and Interventions of Health Informatics. This course offers a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Public Health Analysts can enhance their ability to analyze and interpret health data, enabling them to make informed decisions and develop effective public health policies and programs.
Data Scientist
Data Scientist
The Outcomes and Interventions of Health Informatics is a valuable course for Data Scientists interested in the healthcare domain. It offers a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Data Scientists can enhance their ability to apply their skills to healthcare data, enabling them to make informed decisions and contribute to improved patient care and healthcare outcomes.
Research Scientist
Research Scientist
The Outcomes and Interventions of Health Informatics can be a valuable asset to Research Scientists. This course provides a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Research Scientists can enhance their ability to design and conduct health informatics research studies, contributing to the advancement of knowledge in the field.
Statistician
Statistician
The Outcomes and Interventions of Health Informatics offers valuable insights for Statisticians. This course provides a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Statisticians can enhance their ability to apply statistical methods to health informatics data, enabling them to make informed decisions and contribute to improved patient care and healthcare outcomes.
Healthcare Consultant
Healthcare Consultant
The Outcomes and Interventions of Health Informatics provides a solid foundation for Healthcare Consultants. It offers a comprehensive overview of the healthcare industry, including the challenges and opportunities presented by health informatics. Through this course, Healthcare Consultants can gain valuable knowledge about the use of technology in healthcare, enabling them to better advise their clients on implementing and leveraging health informatics solutions to improve patient care and healthcare delivery.
Machine Learning Engineer
Machine Learning Engineer
The Outcomes and Interventions of Health Informatics can provide valuable insights for Machine Learning Engineers. This course offers a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Machine Learning Engineers can enhance their ability to apply machine learning techniques to healthcare data, enabling them to make informed decisions and contribute to improved patient care and healthcare outcomes.
Health Economist
Health Economist
The Outcomes and Interventions of Health Informatics can be beneficial to Health Economists. This course provides a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Health Economists can enhance their ability to analyze and interpret health informatics data, enabling them to make informed decisions and contribute to improved healthcare policies and resource allocation.
Healthcare Administrator
Healthcare Administrator
The Outcomes and Interventions of Health Informatics is a valuable course for Healthcare Administrators. It offers a comprehensive overview of the healthcare industry, including the challenges and opportunities presented by health informatics. By gaining a solid understanding of health informatics, Healthcare Administrators can make more informed decisions about the adoption and implementation of technology in their organizations, enabling them to improve patient care and healthcare delivery.
Healthcare Policy Analyst
Healthcare Policy Analyst
The Outcomes and Interventions of Health Informatics can be useful for Healthcare Policy Analysts. This course provides a comprehensive overview of the field, covering topics such as data management, data analysis, and decision support. By gaining a solid foundation in these areas, Healthcare Policy Analysts can enhance their ability to analyze and interpret health informatics data, enabling them to make informed decisions and contribute to improved healthcare policies and resource allocation.
Clinical Data Scientist
Clinical Data Scientist
The Outcomes and Interventions of Health Informatics, a course from Johns Hopkins University, may be useful to Clinical Data Scientists by helping build a foundation in key principles and methodologies used in the field of clinical data science, including data analysis, data mining, and machine learning. The course can greatly assist in enabling Clinical Data Scientists to apply these techniques to improve healthcare outcomes and patient care.
For more career information including salaries, visit:
OpenCourser.com/course/rhouvv/the
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
The Outcomes and Interventions of Health Informatics.
A comprehensive overview of data science in healthcare, covering its principles, applications, and ethical considerations.
Provides a comprehensive overview of deep learning techniques for healthcare. It would be a valuable resource for students who want to learn more about the use of deep learning in healthcare.
Save
Explores the potential of artificial intelligence to transform healthcare. It is particularly valuable for healthcare professionals and policymakers interested in understanding the implications of AI for the future of healthcare.
Provides a comprehensive overview of health informatics. It would be a valuable resource for students who want to learn more about the history, theory, and practice of health informatics.
Provides a comprehensive overview of the impact of digital health on the patient experience, covering topics such as the use of patient portals, mobile health apps, and telemedicine.
Provides a practical guide to health informatics for healthcare and information technology professionals. It would be a valuable resource for students who want to learn more about the practical aspects of health informatics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rhouvv/the
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Level
Introductory
Via
Coursera
Institution
Johns Hopkins University
Instructors
Harold P. Lehmann, MD, Ph.D.
Paul Nagy, PhD, FSIIM
Language
English
Transcripts
Español
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آذربایجان دیلی
This course belongs to a
collection
called
Health Informatics. It's comprised of five courses:
- The Social and Technical Context of Health Informatics
- The Data Science of Health Informatics
- Leading Change in Health Informatics
- The Outcomes and Interventions of Health Informatics (viewing)
- Culminating Project in Health Informatics
Good to know
Provides knowledge that is applicable to patient, clinician, and manager levels
Teaches how to properly design decision support interventions
Helps with selecting the appropriate technology for healthcare interventions
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