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).
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 10 ساعات hours
- الطبع بواسطة Johns Hopkins University
-
Offered by
عن
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.الوحدات
Introduction to Databases and Data Types
-
6
Videos
-
1
Assignment
1
Assignment
- Module 1 Quiz
6
Videos
- Introduction to Databases
- Databases in Clinical Informatics
- Common Data Types I
- Common Data Types II
- Common Data Types III
- Emerging Data Types
Data Sources and Data Challenges
-
5
Videos
-
1
Assignment
1
Assignment
- Module 2 Quiz
5
Videos
- Common Clinical Data Sources
- Population-Level Data Sources
- Data Challenges I
- Data Challenges II
- Data Challenges III
Formulating Data Questions
-
6
Videos
-
1
Assignment
1
Assignment
- Module 3 Quiz
6
Videos
- Formulating a Data Query I
- Formulating a Data Query II
- Real World Data Questions
- i2b2 Demo
- HealthData.Gov Demo
- HCUPNet Demo
Real World Applications of Data Science in Health Informatics
-
8
Videos
-
1
PeerReview
-
1
Assignment
1
Assignment
- Module 4 Quiz
1
Peer Review
- Responding to a Data Request
8
Videos
- Introduction
- Interview with Sam Meiselman
- Interview with Sam Meiselman, Part II
- Interview with Bonnie Woods
- Interview with Brandyn Lau, Part I
- Interview with Brandyn Lau, Part II
- Interview with Brandyn Lau, Part III
- Wrap Up
Auto Summary
Explore the intricate world of health informatics with "The Data Science of Health Informatics" course, designed for those passionate about health and fitness. Led by industry experts from Coursera, this foundational course delves into the diverse and complex nature of health data, emphasizing the importance of accuracy. Throughout this comprehensive 600-hour program, you'll gain insights into the various types of health and healthcare data, learning how to articulate precise research questions and interpret queries for secondary use of Electronic Health Records (EHR). The course also covers the application of health data in population health, clinical research, quality assessment, and translational research. Ideal for beginners, this course is available through the Starter subscription, making it accessible for anyone eager to understand the data science behind health informatics. Whether you're aiming to enhance patient treatment, conduct impactful research, or ensure healthcare quality, this course equips you with the essential skills to succeed in the dynamic field of health informatics.
Hadi H. K. Kharrazi, MD, Ph.D
Sam Meiselman