卫生信息学的成果与干预

The Outcomes and Interventions of Health Informatics

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约翰霍普金斯大学
Coursera
  • 完成时间大约为 12 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

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

课程概况

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.

课程大纲

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.

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.

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