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.
关于此 专项课程
您将学到的内容有
Articulate a coherent problem definition of, and a plan for addressing, a health informatics problem.
Answer a health informatics problem through data retrieval and analysis.
Design a health informatics solution for decision support.
Create a change management and deployment plan for a health informatics intervention.
您将获得的技能
Data ScienceDecision Support SystemChange ManagementInnovationLeadership
专项课程 的运作方式
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实践项目
每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。
获得证书
在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。
此专项课程包含 5 门课程
课程1
The Social and Technical Context of Health Informatics
Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. At the end of this course, students will be able to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned.
课程2
Leading Change in Health Informatics
To succeed at health informatics means to put an intervention (whether based on data science or some other basis) into place, to have it adopted and used, and to achieve the goals intended, without unintended consequences. Looping back to the “socio” side of health informatics, we must make sure that our interventions make sense in the social context of any healthcare system. By the end of this course will understand issues around change management and will be able to articulate a plan to make change happen.
课程3
The Outcomes and Interventions of Health Informatics
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4
The Data Science of Health Informatics
Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.
讲师
Harold P. Lehmann
Professor and DirectorDivision of Health Sciences Informatics
Ashwini S. Davison, M.D.
Associate Director of EducationDivision of Health Sciences Informatics
关于 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.
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