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.
提供方
医学信息学 專項課程约翰霍普金斯大学課程信息
8,180 次近期查看
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 5 門）
初級
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
完成時間大約為7 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將學到的內容有
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
您將獲得的技能
- Knowledge Acquisition
- Decision Tree
- Decision-Making
- Decision Support System
- Health Informatics
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 5 門）
初級
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
完成時間大約為7 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
约翰霍普金斯大学
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
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.
完成時間為 1 小時
5 個視頻 （總計 61 分鐘）
完成時間為 1 小時
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.
完成時間為 1 小時
8 個視頻 （總計 47 分鐘）
完成時間為 2 小時
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.
完成時間為 2 小時
7 個視頻 （總計 84 分鐘）
完成時間為 3 小時
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.
完成時間為 3 小時
9 個視頻 （總計 70 分鐘）
審閱
來自THE OUTCOMES AND INTERVENTIONS OF HEALTH INFORMATICS的熱門評論
由 L 提供2019年10月13日
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.
由 R 提供2021年1月4日
This was a great course. It was indepth and very thorough for my beginner skillset. I have enjoyed Dr. Lehmann's courses a great deal.
由 DG 提供2020年7月12日
Wonderful content delivery and appropriate academic level for people new to informatics delivery.
由 EJ 提供2019年6月27日
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
關於 医学信息学 專項課程
This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.
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