目录
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课程：Analytical Solutions to Common Healthcare Problems. 点击其实核心的内容可以返回。
- 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
- 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 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 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