Northeastern University
Healthcare Data Management and Information Systems
Northeastern University

Healthcare Data Management and Information Systems

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深入了解一个主题并学习基础知识。
4.9

(16 条评论)

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2 周 完成
在 10 小时 一周
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深入了解一个主题并学习基础知识。
4.9

(16 条评论)

初级 等级

推荐体验

2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Identify the impact of data analytics AI and ML on healthcare outcomes

  • Identify current issues related to digital security and privacy

  • Evaluate healthcare spending to determine return on investment

  • Identify emerging trends and developments in the field of healthcare informatics

要了解的详细信息

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作业

3 个测验,23 任务¹

AI 评分请参见免责声明
授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

In this module, the focus will be on the importance of privacy and security in healthcare. Privacy is about respecting patient decisions regarding data usage, access, and purpose, while security is about enforcing those privacy constraints through technology. The module includes case studies and examples of the risks associated with privacy breaches and the importance of enforcing regulations like HIPPA and European regulations to protect patient data while still allowing for innovation in healthcare technology. By the end of this module you will take away lessons in mitigating and preventing security risks to an organization.

涵盖的内容

8个视频8篇阅读材料1个测验6个作业1次同伴评审1个讨论话题

While learning about various health information systems is important for allowing organizations to improve their clinical outcomes and workflow efficiencies, budgeting is a crucial component to the implementation of new technologies. This module will explore how budgeting occurs for health information systems and how strategic financial planning impacts how organization’s reach goals. You will compare operating and capital expenses and analyze the processes and practices for successful planning of both types of budgets. Finally, you will reflect on how to form successful budgeting teams.

涵盖的内容

6个视频2篇阅读材料1个测验5个作业1个讨论话题

In the healthcare industry, emerging technologies can be used to greatly improve clinical outcomes and operational efficiencies. However, with these new technologies come may potential risks and challenges that need to be understood and explored prior to implementation. In this module, we will explore the emerging frontier of healthcare technology with emphasis on wearables and home-based care. As we are learning throughout this course, collecting data from many different sources provides a more holistic approach to healthcare. This module will cover more data types such as patient-sourced data and exposome data and how these can help healthcare organizations provide better patient care.

涵盖的内容

7个视频5篇阅读材料1个测验6个作业1个讨论话题

Healthcare Information Technology is facing a digital transformation as we look toward the future of information systems. Organizations are pivoting away from a pipeline approach to a platform approach when implementing organizational strategy and incorporating new innovations. This module will explore these approaches and highlight this shift towards platform thinking through examples from the Mayo Clinic Platform. Finally, this module will conclude discussing the global transformation that is being seen across healthcare systems worldwide and what these changes mean for healthcare as we know it.

涵盖的内容

7个视频6篇阅读材料6个作业1次同伴评审

位教师

Dr. John D. Halamka, M.D., M.S.
Northeastern University
3 门课程7,165 名学生

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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。