課程信息

第 4 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

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完成時間大約為17 小時

建議:9 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

  • Check

    Articulate different forms of clinical and population level data.

  • Check

    Describe the data required to answer a healthcare information problem.

  • Check

    Distinguish between data questions and data queries when dealing with a healthcare information problem.

您將獲得的技能

Data ScienceData Analysisdata querying

第 4 門課程(共 5 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為17 小時

建議:9 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Introduction to Databases and Data Types

In this module, we will begin by introducing and defining databases, and placing the role of databases within the context of clinical informatics. We will continue by introducing the common health data types such as demographics, diagnosis, medications, procedures, and utilization data. We will finish this module by reviewing the emerging health data such as lab orders/results, vital signs, social data, and patient-generated data....
6 個視頻 (總計 95 分鐘), 1 個測驗
6 個視頻
Databases in Clinical Informatics19分鐘
Common Data Types I8分鐘
Common Data Types II14分鐘
Common Data Types III11分鐘
Emerging Data Types18分鐘
1 個練習
Module 1 Quiz30分鐘
2
完成時間為 2 小時

Data Sources and Data Challenges

In this module, we review the data specifications extracted from insurance claims and electronic health records. We will then discuss the common challenges in using health data, specifically issues with data quality, data interoperability, and data system architectures. Finally, we will describe the “Big Data” challenges of health data and explain some of the data problems that may hinder analytical efforts....
5 個視頻 (總計 88 分鐘), 1 個測驗
5 個視頻
Population-Level Data Sources19分鐘
Data Challenges I17分鐘
Data Challenges II15分鐘
Data Challenges III18分鐘
1 個練習
Module 2 Quiz30分鐘
3
完成時間為 1 小時

Formulating Data Questions

With this understanding of the data available, it’s time to see how to turn questions you and your colleagues will have into queries the database can understand. Besides getting rules of thumb for doing this translation, you will also be introduced to three online tools available to test some of these skills. You will also watch an interview with Sam Meiselman, course instructor and the data manager in charge of the Johns Hopkins Enterprise Data Warehouse, who has to use these skills on a daily basis. ...
6 個視頻 (總計 46 分鐘), 1 個測驗
6 個視頻
Formulating a Data Query II6分鐘
Real World Data Questions7分鐘
i2b2 Demo15分鐘
HealthData.Gov Demo6分鐘
HCUPNet Demo6分鐘
1 個練習
Module 3 Quiz30分鐘
4
完成時間為 5 小時

Real World Applications of Data Science in Health Informatics

To send home the recurring message on the challenges and art of translating questions into queries, you will see interviews with two professionals: One who comes from the data management side of the equation, and one who comes from the domain. They will give you perspectives that are both similar (the need to understand the problem for which the data are being retrieved) and different (the multiplicity of data available vs the richness of the domain problem). ...
8 個視頻 (總計 77 分鐘), 2 個測驗
8 個視頻
Interview with Sam Meiselman15分鐘
Interview with Sam Meiselman, Part II12分鐘
Interview with Bonnie Woods18分鐘
Interview with Brandyn Lau, Part I7分鐘
Interview with Brandyn Lau, Part II12分鐘
Interview with Brandyn Lau, Part III8分鐘
Wrap Up1分鐘
1 個練習
Module 4 Quiz30分鐘

講師

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Hadi H. K. Kharrazi, MD, Ph.D

Assistant Professor
Bloomberg School of Public Health
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Sam Meiselman

Senior Software Engineer
Enterprise Data Warehouse

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....
医学信息学

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