WHITEPAPER

Top 10 Information Management Components to Manage the Patient Journey

Do you strive to give your patients the best experience possible? This pivotal startup guide walks you through the steps necessary to implement a successful go-to-market plan for commercializing your products and mastering the patient journey.

Gaine Solutions Provider Data Management Lifecycle LexisNexis Integration CAQH Integration NPPES Integration Healthcare MDM

Top 10 Information Management Components to Manage the Patient Journey

Do you strive to give your patients the best experience possible? This pivotal startup guide walks you through the steps necessary to implement a successful go-to-market plan for commercializing your products and mastering the patient journey.

Get the Whitepaper

Gaine Solutions Provider Data Management Lifecycle LexisNexis Integration CAQH Integration NPPES Integration Healthcare MDM

A Pivotal Guide for Solutions Planning

The growing influence of patients in selecting their treatment options and the emergence of risk-sharing agreements between drug manufacturers and payers have fundamentally changed the way pharmaceutical companies market and support their products.

In the past, pharmaceutical companies centered their efforts on provider education and winning support from payers to pay for new treatments. In the new paradigm, companies must engage with multiple stakeholders throughout the patient journey to build demand, manage risk, and deliver results.

This new business model demands integration across functional areas that traditional data management systems cannot easily support. In this paper, we discuss the ten critical components of a modern Information Management Strategy for life sciences commercial operations.

What you you’ll learn:

  1. Data Privacy and Usage Policy
  2. Lead Capture and Consolidation
  3. Identity Management & Consent Management
  4. Customer Relationship Management (CRM) & Patient Services
  5. Campaign Feeback Integration
  6. Data Sourcing Strategy
  7. Data De-Identification
  8. Managing Patient Risk and Adherence
  9. Integrated Health Model
  10. Predictive Analytics

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“This new business model demands integration across functional areas that traditional data management systems simply cannot support.”

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