A suite of Healthcare Analytics solutions is delivered by TEG to help you make better business decisions

Leveraging our global delivery model, proven analytic prowess, and deep industry experience, TEG provide solutions at various level of analytical complexities

Healthcare

 

TEG’s HealthWorks, a solution powered by Tableau and publicly available healthcare data, helps payors predict in-market performance within five business days from the release of plans by CMS.

Payors/Insurers

Analytics Area Business Questions
Product Impact Analysis
  • What are the important product attributes driving enrollments of the insurance plans?
  • What percentage of the performance is impacted by the changes in product attributes from the previous year?
  • What are the common characteristics of top gaining/ losing plans in a market?
  • How can one profile exceptional plans in a market?
  • What attributes do the customers prefer?
Product Design Analysis
  • What are the important product attributes driving enrollments of the insurance products?
  • What is the elasticity associated to each of the product attributes in a market?
  • What kind of product changes could be anticipated from the competitors in a market?
Marketing Impact Analysis
  • How does one’s marketing activities drive enrollments of the insurance plans?
  • How effective and efficient are one’s marketing activities in a market?
  • How does marketing interplay with the product attributes in driving the enrollments in a market?
  • How can one develop an ability to predict in-market performance and in turn decide the required marketing dollars to be invested?
Marketing Optimization
  • Which marketing medium is contributing the most to the ROI?
  • How does one optimize the marketing spend across the multiple marketing channels?
  • How can one simulate various ‘what-if’ marketing spend scenarios and observe various outcomes before investing in a market?
Marketing Campaign Measurement
  • What is the effectiveness of the Direct & Digital mailing companies?
  • What is the cost of acquisition of a new member? How does this vary across demographic factors?
  • Which regions should one target more to get more conversions?
  • What sort of products, packages and creatives are well received by the prospects?
  • How should one message the product in a digital or direct mailer?
Providers

Analytics Area Business Questions
Patient Segmentation
  • How can one segment the patients based on the demographics?
  • How can a provider utilize the above information to better staff and provide efficient facilities?
  • How should one collaborate with the insurance plans based on the demographic requirements of patients in the region?
Profitability Assessment
  • How can one identify profitable divisions and locations for medical facilities across geographies?
  • How does one provider’s facilities compete with the competitor networks?
Medical Record Data Management
  • How can a provider have access to patients’ past medical records?
  • How can one have easy access to patient claims data?
Marketing Optimization
  • Which marketing medium is contributing the most to the ROI?
  • How does one optimize the marketing spend across the multiple marketing channels?
  • How can one simulate various ‘what-if’ marketing spend scenarios and observe various outcomes before investing in a market?
Fiscal Organisation

Analytics Area Business Questions
Claims Settlement Analysis
  • How can one detect fraudulent claims using business rules and statistical analytics?
  • How can one optimize the Claims processes that includes activity optimization, payments optimization, etc.?
  • How can one develop a fraud-propensity score using the existing transactional data?
  • How can an insurer predict and identify the fraud activities before it impacts the business?
Fraud, Waste & Abuse (FWA)
  • How can one leverage the existing data to discover previously unknown fraud schemes?
  • Can one differentiate between the opportunistic fraud and the professional fraud?
  • How can one develop a fraud-propensity score using the existing transactional data?
  • How can an insurer predict and identify the fraud activities before it impacts the business?

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