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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課程信息
4,480 次近期查看
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 AcquisitionDecision TreeDecision-MakingDecision Support SystemHealth Informatics
學習Course的學生是
- Nurses
- Medical Doctors
- Pharmacists
- Data Scientists
- Data Analysts
教學大綱 - 您將從這門課程中學到什麼
週
1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.
5 個視頻 （總計 61 分鐘）, 1 個測驗
5 個視頻
Should You?11分鐘
Should You? II: HIMSS Framework13分鐘
Does It Work?: Testing8分鐘
Is It Used? Does It Accomplish Goals?7分鐘
1 個練習
Module 1 Quiz
週
2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.
8 個視頻 （總計 47 分鐘）, 1 個測驗
8 個視頻
Types of Clinical Decision Support7分鐘
Design Phase9分鐘
Define Phase7分鐘
Ideate Phase2分鐘
Prototype Phase2分鐘
Test Phase3分鐘
Deploy Phase9分鐘
1 個練習
Module 2 Quiz30分鐘
週
3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.
7 個視頻 （總計 84 分鐘）, 1 個測驗
7 個視頻
What's in a Rule? Part II10分鐘
The Language of Rules5分鐘
Data Dictionary and Taxonomy14分鐘
Value Sets11分鐘
Semantic Networks14分鐘
Ontology15分鐘
1 個練習
Module 3 Quiz30分鐘
週
4完成時間為 4 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.
9 個視頻 （總計 70 分鐘）, 2 個測驗
9 個視頻
Expert Knowledge13分鐘
Decision Support Committee3分鐘
Eliciting Expert Knowledge11分鐘
The Literature13分鐘
Data -- Knowledge7分鐘
Statistical Methods11分鐘
AI Dangers6分鐘
Summary2分鐘
1 個練習
Module 4 Quiz35分鐘
4.5
4 個審閱來自The Outcomes and Interventions of Health Informatics的熱門評論
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.
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
講師
Harold P. Lehmann, MD, Ph.D.
Professor and DirectorDivision of Health Sciences Informatics
Paul Nagy, PhD, FSIIM
Associate Professor of RadiologyDivision of Health Sciences Informatics
關於 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.
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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