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Case Study: Medical Insurance Claims - Medical Claims Analysis using Logistic Regression Techniques


Medical Insurance Claims Analysis - Insurance Company in US


The Business Challenge/Situation

Motivated by a strategic initiative to remain competitive in a fiercely competitive Insurance Industry, the client, a Large Insurance Company in the US, wanted to build an offshore Analytics team to work with their medical claims and customer demographic data to provide real time intelligence through the application of statistical techniques. The main objective was to lower existing costs incurred as well as develop a reliable and highly intellectual offshore knowledge team that could add value to the existing models and increase the probability of success.

Case Studies:


Consumer Packaged Goods: Snack Bar Launch

Automotive: Customer Churn

Financial Products/Services: Perceptual Mapping

Manufacturing: Demand Forecasting

Banking: Credit Risk and Scoring

Pharmaceutical: Clinical Trial Phase 2 & 3 Studies

Market Research Firm: Advertising /Copy Test

Management Consulting Firm: Product Test



Our Analyses resulted in:

Identifying the key drivers of liking/barriers to purchase:

  • Identification of members with Diseases

  • Sorting of members based on Disease maturity/condition

  • Identifying and Analyzing Gaps

  • Prevention through early Identification

  • Cost estimation and Prediction - Probable High cost members, actual and predicted costs.


Market Equations Role

In Phase 1, Market Equations provided a unique solution, using logistic regression models on Medical data and customer demographic data to address the objective.

Our Value Proposition:

  1. Proficiency in data manipulation techniques, proven track record with managing and working with large data sets

  2. Proficiency in writing maintainable, supportable, well-documented SAS macros

  3. Ability to extract, cleanse, integrate claims records and membership data from various platforms and sources

  4. Ability to interact with and respond to varied levels of management, prioritize multiple tasks and meet deadlines

  5. Strong communication and presentation skills

  6. Complex quantitative analytical skills – fitting linear and non-linear statistical models to continuous or count responses, developing HECON model

  7. Familiarity with payment models, utilization factor assessment, ICD-9 diagnosis codes, etc

  8. All analysts have Master's degree or higher in statistics / biostatistics

  9. All (SAS coders and analysts) have at least 2 years experience in complex SAS data-step programming (including macros, arrays, data transposition, complex data merges)

Client Impact:

The Analyses resulted in providing a sustainable and predictive model and help the client take preventive action by identifying individual members who have high probabilities of incurring high medical costs. Market Equations continues to engage the customer and is continuously reporting insights daily with a team of 2 full time Statistical programmers.

ME maintain a fantastic relationship with the company and representatives are always eager to provide their references whenever required.

Explore how the Market Equations Consultative Approach to decision making works wonders.





Outsourcing Market Research and Statistical Data Analytics to India can help you achieve substantial cost and time efficiencies, high quality and access to a vast pool of competent intellectual resources. You will gain competitive advantage by outsourcing your Market Research, Consumer Research, Business Research, Clinical Data Management and Medical Claims Data Management Services to Market Equations India. Some of the services that you can explore outsourcing to Market Equations India include Survey Design & Programming, Cross Tabs & Banner Tables Preparation, Verbatim/Open End Coding, Statistical Data Analytics, Data Analysis, Charting and Power Point report writing services.

 
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