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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Gedunsheitsinformatik
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Spezialisierung GedunsheitsinformatikJohns Hopkins UniversityÜber diesen Kurs
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
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Articulate different forms of clinical and population level data.
Describe the data required to answer a healthcare information problem.
Distinguish between data questions and data queries when dealing with a healthcare information problem.
Kompetenzen, die Sie erwerben
- Data Science
- Database (DBMS)
- Data Analysis
- Health Informatics
- data querying
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
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Lehrplan - Was Sie in diesem Kurs lernen werden
Introduction to Databases and Data Types
Data Sources and Data Challenges
Formulating Data Questions
Real World Applications of Data Science in Health Informatics
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Top-Bewertungen von THE DATA SCIENCE OF HEALTH INFORMATICS
The part where we need to submit the assignment and peer review the submissions, that part is NOT user friendly , you need to improve the textual help and instructions for the students
Very Good. I Enjoy So much this course. It is really easy to understand and the presenter are excellent. Very recommended.
The data query or fetching information from sources can be explored more.
There were some inconsistencies in the course material. For example, the quiz in week 3 were on topics touched in week 4.
Über den Spezialisierung Gedunsheitsinformatik
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