Healthcare Data Security for Beginners

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Data Security & Healthcare

Lecture 1: EHR Data Security & Analysis Overview

Chapter 3: Importance of Data Privacy and Security in Healthcare

Lecture 1: Data Privacy and Security From a Patient, Provider and Data User Perspective

Lecture 2: Patient Perspective Data Security

Lecture 3: Value of Medical Record Data to Hackers

Lecture 4: Value of Medical Record Data to Hackers – Examples

Lecture 5: Common HIPAA Violations

Lecture 6: Encryption

Chapter 4: Key Healthcare Data Security And Privacy Standards And Terminology

Lecture 1: Key Industry Regulations

Lecture 2: Key Industry Regulations – HIPAA vs. HITECH vs. GDPR vs. DPA

Lecture 3: Shift to Electronic Health Records (EHR)

Lecture 4: What is PHI?

Lecture 5: Covered Entities

Lecture 6: Business Associates (BA)

Lecture 7: Business Associate Agreement/Addendum (BAA)

Chapter 5: Storing and Accessing PHI Data

Lecture 1: Securing PHI Data

Lecture 2: HIPAA Compliant Cloud Practices

Lecture 3: Minimum Necessary Standard

Lecture 4: HIPAA's Two Ways to De-Identify a Dataset

Lecture 5: Importance of EDA

Lecture 6: Reasons EDA is Important

Lecture 7: Value Distributions

Chapter 6: Demographic Analysis

Lecture 1: The Importance of Demographic Analysis In Healthcare

Chapter 7: Data Analytics & Big Data

Lecture 1: Definition of Data Analytics

Lecture 2: Data Classification

Lecture 3: The 3 V's of Big Data

Lecture 4: Analytics Evolution

Lecture 5: The Analytics Problem Approach

Lecture 6: AWS Big Data and Analytics – Collect

Lecture 7: AWS Big Data and Analytics – Storage

Lecture 8: AWS Big Data and Analytics – Process and Analyze

Chapter 8: Machine Learning

Lecture 1: Key Objective of Machine Learning

Lecture 2: Arthur Samuel Machine Learning Definition

Lecture 3: Tom Mitchell Machine Learning Formal Definition

Lecture 4: Industry Application

Lecture 5: Terminology

Lecture 6: Terminology Examples

Lecture 7: Machine Learning Phases

Lecture 8: Machine Learning Types

Chapter 9: Machine Learning: Supervised Learning

Lecture 1: Supervised Learning Definition

Lecture 2: Supervised Learning Process

Lecture 3: Classification Vs. Regression

Lecture 4: Supervised Learning Algorithms

Lecture 5: Supervised Training Process

Lecture 6: Business Analytics

Lecture 7: Training Summary

Chapter 10: Machine Learning: Unsupervised Learning

Lecture 1: Unsupervised Learning Introduction

Lecture 2: Unsupervised Learning Definition

Lecture 3: Pattern Types

Lecture 4: Clustering

Lecture 5: Anomaly Detection

Lecture 6: Association Discovery

Lecture 7: Clustering Example

Lecture 8: Unsupervised Training Process

Lecture 9: Unsupervised Learning Business Analytics

Lecture 10: Unsupervised Learning Dataset Summary

Lecture 11: Unsupervised Learning Overview