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Data Science for Health Informatics
Coursera
Course
Unknown

Data Science for Health Informatics

Johns Hopkins University

Understand the types and complexity of health data, their uses in treatment, research, and public health, emphasizing data quality and performance measurement.

Unknown4 weeksEnglish

About this Course

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

What You'll Learn

  • Articulate different forms of clinical and population data
  • Describe data required for healthcare information problems
  • Distinguish data questions from data queries in healthcare

Instructors

H

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

Bloomberg School of Public Health

S

Sam Meiselman

Enterprise Data Warehouse

Topics

Health Care
Medical Records
Health Informatics
Data Quality
Interoperability
Health Information Management
Databases
Big Data
Data Analysis
Query Languages

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الرعاية الصحية
السجلات الطبية
المعلوماتية الصحية
جودة البيانات
التوافقية
إدارة المعلومات الصحية
قواعد البيانات
البيانات الضخمة
Data Analysis
Query Languages

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