University of California, Davis - Analytical Solutions to Common Healthcare Problems 

Course Introduction

Module 1 Introduction

Provider Profiling

How to Make Fairer Comparisons Using Risk Adjustment

How Risk Adjustment is Performed

Patient Safety: Measuring Adverse Events

Super-Utilizers of Health Resources

Fraud Detection

A Note From UC Davis

Module 1 Quiz

Module 2 Introduction

Clinical Identification Algorithms (CIA)

HEDIS and AHRQ Quality Measures

Analytical Groupers

Open Source Groupers - Grouping Diagnoses and Procedures

Open Source Groupers - Comorbidity, Patient Risk, and Drugs

Commercial Groupers

Module 2 Quiz

Module 3 Introduction

Analytical Processes and Planning

Data Mining and Predictive Modeling - Part 1

Data Mining and Predictive Modeling - Part 2

Extracting Data for Analysis

Transforming Data for Analytical Structures

Module 3 Quiz

Module 4 Introduction

Solving Analytical Problems with Risk Stratification

Risk Stratification: Variables, Groupers, Predictors

Risk Stratification: Model Creation/Evaluation and Deployment of Strata

Medicare Claims Data - Source and Documentation

Final Tips to Help Understand and Interpret Healthcare Data

Course Summary

Welcome to Peer Review Assignments!

Module 4 Quiz