Overview
Key Features
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 The Outcomes and Interventions of Health Informatics course offered by Coursera in partnership with Johns Hopkins University, 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.
Programme Structure
Courses include:
- Knowing Where to Intervene
- Defining Decision Support
- Using Transactional and Summative Data and Knowledge for Decision Support
- Eliciting and Creating Knowledge for Decision Support
Key information
Duration
- Part-time
- 1 months
- 2 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Health Informatics View 30 other Short Courses in Health Informatics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Audit: free access to course materials except graded items
- Certificate: a trusted way to showcase your skills
- A year of unlimited access with Coursera Plus $399
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.