Decreasing healthcare costs, improving in-patient experience, enhancing operational efficiencies and minimizing risks are key goals of the healthcare industry. Analytics is being applied to decide the right course of actions to predict best outcomes in patient care. Inventory analytics and supply chain optimization are critical to maintain healthy operations. Growth and risk are part of the dynamic healthcare industry and analytics is the solution that enables the healthcare industry to maintain a fine balance. View our offerings, use cases, solutions and advantages:

  • Professional Services
  • Technology Expertise

Key Use Cases

Clinical trials data analysis, Disease pattern analysis, Campaign and sales program optimization, Patient care quality and program analysis, Medical device and pharma supply-chain management, Drug discovery and development analysis, Product Design, Pricing Analysis, Segmentation Analysis, Market Mix Modeling, Provider Level Fraud / Abuse Identification & Litigation Support, Volume and Utilization Analysis at Provider Level

Analytics Solutions

  • Big Data Healthcare Models
  • Healthcare Data Management
  • Descriptive, Predictive, Prescriptive Analytics

Analytic Advantages

  • Facilitate visual exploration and pattern discovery of big data
  • Exploit social "content" and make new insights that foster greater collaboration
  • Facilitate better sharing, guided analysis and decision making
  • Utilize mobile for presentation on any devices, as well as location-based intelligence
  • Embrace cloud; offering flexibility for licensing and deployment

Partnership Strategy

Karvy Analytics partners with you throughout the following strategic recommendations by analysts:

  • Determine your use case before investing in big data technology
  • Experiment and pilot to validate the value of the use cases
  • Leverage cloud solutions for experimentation to simplify initial deployments

Tools and Technologies

  • R, Python, Mahout
  • SAS, Dell Statistica
  • Visualization: Tableau, Spotfier, Pentaho, ClickView
  • Big Data: Hortonworks, Splunk, Greenplum, Terradata Aster
  • IBM Mimic, I-Log Elixir, Stamen, Juice Analytics, VE Videosynthesis, Photosynth, Predixon
  • SAP HANA, SSP Big Data, Oracle Exalytics, Datamirror, Revolution Analytics

Business Insight

  • Better clinical decision making
  • Care analytics
  • Identify claim overpayments
  • Risk assessment forecasting
  • Predicting frequency of medical procedure
  • Evaluating diseases
  • EHR (Electronic Health Record) Analysis
  • improve customer acquisition and patient retention rates
  • Optimize drug pricing
  • Regulatory reporting
  • Genome Processing & DNA Sequencing
  • Clinical Quality & Cost Analysis
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