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.
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课程信息
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版您将学到的内容有
Identify opportunities for healthcare informatics interventions.
Apply a structured framework for articulating the components of decision support.
Design knowledge acquisition for decision support.
Outline a health informatics solution for decision support
您将获得的技能
- Knowledge Acquisition
- Decision Tree
- Decision-Making
- Decision Support System
- Health Informatics
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版提供方
授课大纲 - 您将从这门课程中学到什么
Knowing Where to Intervene
Defining Decision Support
Using Transactional and Summative Data and Knowledge for Decision Support
Eliciting and Creating Knowledge for Decision Support
审阅
- 5 stars68.75%
- 4 stars20%
- 3 stars5%
- 2 stars3.75%
- 1 star2.50%
来自THE OUTCOMES AND INTERVENTIONS OF HEALTH INFORMATICS的热门评论
Thank you for such a wonderful learning experience!!!
Wonderful content delivery and appropriate academic level for people new to informatics delivery.
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
Learned that there are different ways to input and access information through a system. Also the types of thought processes on how to achieve the outcome.
关于 医学信息学 专项课程

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