关于此 专项课程

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

完成时间大约为4 个月

建议 5 小时/周

英语(English)

字幕:英语(English)...

您将学到的内容有

  • Check

    Articulate a coherent problem definition of, and a plan for addressing, a health informatics problem.

  • Check

    Answer a health informatics problem through data retrieval and analysis.

  • Check

    Design a health informatics solution for decision support.

  • Check

    Create a change management and deployment plan for a health informatics intervention.

您将获得的技能

Data ScienceDecision Support SystemChange ManagementInnovationLeadership

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

完成时间大约为4 个月

建议 5 小时/周

英语(English)

字幕:英语(English)...

专项课程 的运作方式

加入课程

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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。

how it works

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

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As health informaticists, we need to be very clear in our understanding of the current state (as -is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use.  By the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations. ...
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

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Sam Meiselman

Senior Software Engineer
Enterprise Data Warehouse
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Hadi H. K. Kharrazi, MD, Ph.D

Assistant Professor
Bloomberg School of Public Health
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Harold P. Lehmann, MD, Ph.D.

Professor and Director
Division of Health Sciences Informatics
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Ashwini S. Davison, M.D.

Associate Director of Education
Division of Health Sciences Informatics
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Paul Nagy, PhD, FSIIM

Associate Professor of Radiology
Division 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....

常见问题

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