Komodo Health
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CONTACT
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CONTACT
WHY IT MATTERS
  • Obtaining granular insights across the patient journey is critical to resolving therapy adoption/adherence hurdles
  • AI/ML enables predictive analytics to engage HCPs and patients at the most appropriate time
  • Identifying underserved populations to advance care equity is the right thing to do and has the potential to increase market size, market share, and return on investment (ROI)4
CHALLENGE #8
Driving Therapy Adoption
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50% of Commercial teams report they face a "significant to very significant challenge" obtaining accurate insights into:

  • The care setting where therapy is being prescribed
  • Identifying eligible patients at the appropriate time to enable timely HCP engagement
  • Patient “drop-offs” (therapy discontinuation)
  • Underserved populations 
  • Patient access barriers, such as denials by payer and payer type

What’s behind the challenge? 

  • Datasets that don’t include both open and closed claims data
  • Hurdles to integrating/harmonizing data sources
  • Not using technology solutions enhanced with AI/ML
  • A lack of high-fidelity (representative) demographic data
  • Limited or no access to specialty data sources
  • Using claims data alone to determine primary and secondary insurance coverage and identify access barriers (too many empty fields, inaccuracies, and “Payer Unknown” statuses)
WHY IT MATTERS RESOLVE THIS CHALLENGE
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