Introduction to Healthcare Data Security
What you will learn
Healthcare Data Security
Important elements of Health Insurance Portability and Accountability Act Rules (HIPAA)
EHR Data Security and Privacy
Machine Learning
Data Analytics
Administrative, physical, and technical safeguards to ensure the confidentiality, integrity, and availability of electronic protected health information
Exploratory data analysis
Demographic dataset analysis
AI and Electronic Healthcare Data (EHR)
Importance of Data Privacy and Security From a Patient, Provider and Data User Perspective
Storing and Accessing PHI Data
Importance of EDA
Dataset Schema Analysis
Value Distributions
Missing Values and Outliers
Description
By completing this course, you will learn about:
- Data Security and Privacy, including some of the key standards and regulations.
- Exploratory data analysis allowing you to gain a deeper understanding of your datasets, including:
- Dataset schemas
- Value distributions
- Missing values
- Cardinality of categorical features
- Demographic dataset analysis
- Data Analytics
- Machine Learning
- Understand what Machine Learning is and what it offers
- Understand the benefits of using the Machine Learning
- Understand business use cases and scenarios that can benefit from using the Machine Learning
- Understand the different Machine Learning training techniques
- Understand the difference between Supervised and Unsupervised training
English
language
Content
Introduction
Introduction
Data Security & Healthcare
EHR Data Security & Analysis Overview
Importance of Data Privacy and Security in Healthcare
Data Privacy and Security From a Patient, Provider and Data User Perspective
Patient Perspective Data Security
Value of Medical Record Data to Hackers
Value of Medical Record Data to Hackers – Examples
Common HIPAA Violations
Encryption
Key Healthcare Data Security And Privacy Standards And Terminology
Key Industry Regulations
Key Industry Regulations – HIPAA vs. HITECH vs. GDPR vs. DPA
Shift to Electronic Health Records (EHR)
What is PHI?
Covered Entities
Business Associates (BA)
Business Associate Agreement/Addendum (BAA)
Storing and Accessing PHI Data
Securing PHI Data
HIPAA Compliant Cloud Practices
Minimum Necessary Standard
HIPAA’s Two Ways to De-Identify a Dataset
Importance of EDA
Reasons EDA is Important
Value Distributions
Demographic Analysis
The Importance of Demographic Analysis In Healthcare
Data Analytics & Big Data
Definition of Data Analytics
Data Classification
The 3 V’s of Big Data
Analytics Evolution
The Analytics Problem Approach
AWS Big Data and Analytics – Collect
AWS Big Data and Analytics – Storage
AWS Big Data and Analytics – Process and Analyze
Machine Learning
Key Objective of Machine Learning
Arthur Samuel Machine Learning Definition
Tom Mitchell Machine Learning Formal Definition
Industry Application
Terminology
Terminology Examples
Machine Learning Phases
Machine Learning Types
Machine Learning: Supervised Learning
Supervised Learning Definition
Supervised Learning Process
Classification Vs. Regression
Supervised Learning Algorithms
Supervised Training Process
Business Analytics
Training Summary
Machine Learning: Unsupervised Learning
Unsupervised Learning Introduction
Unsupervised Learning Definition
Pattern Types
Clustering
Anomaly Detection
Association Discovery
Clustering Example
Unsupervised Training Process
Unsupervised Learning Business Analytics
Unsupervised Learning Dataset Summary
Unsupervised Learning Overview