Analytical Solutions to Common Healthcare Problems
In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- المدة 11 ساعات hours
- الطبع بواسطة University of California, Davis
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Offered by
عن
In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data.الوحدات
Getting Started
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1
Videos
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1
Readings
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1
Discussion
1
Discussions
- Learning Goals
1
Videos
- Course Introduction
1
Readings
- A Note From UC Davis
Solving the Business Problems
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7
Videos
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2
Discussion
2
Discussions
- Improving Healthcare Quality
- Super-Utilizers
7
Videos
- 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
Review
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1
Assignment
1
Assignment
- Module 1 Quiz
Algorithms and "Groupers"
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7
Videos
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1
Discussion
1
Discussions
- Groupers (Suggested Activity)
7
Videos
- 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
Review
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1
Assignment
1
Assignment
- Module 2 Quiz
ETL (Extract, Transform, and Load)
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6
Videos
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1
Discussion
1
Discussions
- Patient Services Report (Suggested Activity)
6
Videos
- 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
Review
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1
Assignment
1
Assignment
- Module 3 Quiz
From Data to Knowledge
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6
Videos
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1
Discussion
1
Discussions
- CMS 2008-2010 DE-SynPUF (Suggested Activity)
6
Videos
- 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
Peer Review Assignment
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1
Readings
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1
PeerReview
1
Peer Review
- Preparing Raw Data for Effective Healthcare Analytics
1
Readings
- Welcome to Peer Review Assignments!
Review
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1
Assignment
1
Assignment
- Module 4 Quiz
Course Summary
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1
Videos
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1
Discussion
1
Discussions
- Self-Reflection
1
Videos
- Course Summary
Auto Summary
Discover the power of analytics in the healthcare sector with this comprehensive course designed to address common healthcare problems through data-driven solutions. Led by Coursera, this professional-level course delves into the intricacies of organizing and managing healthcare data. You'll learn to build data structures, categorize medical codes, and harmonize data from various sources. The course also emphasizes the creation of a data dictionary, an essential tool for communicating data sources and values effectively. Spanning 660 minutes, this engaging course offers practical insights and hands-on experience in data extraction, transformation, and loading processes tailored for healthcare applications. Ideal for healthcare professionals and data analysts, this course equips you with essential skills to tackle healthcare challenges using analytical methods. Subscription options are available through the Starter plan, making it accessible for those eager to enhance their expertise in health and fitness analytics.
Brian Paciotti