Using health outcomes data to inform decision-making: healthcare payer perspective

Area of Science:

• Health Economics
• Health Services Research
• Data Science in Healthcare

Background:

• Healthcare payers face budget constraints with ever-increasing demands.
• Effective resource allocation is crucial for maximizing output and profitability.
• Health outcomes data is increasingly recognized as a vital tool for decision-making.

Purpose of the Study:

• To explore how healthcare payers utilize health outcomes data for decision-making.
• To highlight diverse applications of real-world health data across different healthcare systems.
• To demonstrate the value of health outcomes data in resource allocation and intervention targeting.

Main Methods:

• Analysis of diverse payer strategies for using health outcomes data.
• Examination of retrospective cohort studies using large healthcare insurer databases (US).
• Case study of a disease management program focused on asthma outcomes (Maccabi Healthcare Services, Israel).

Main Results:

• Healthcare payers employ health outcomes data in varied ways to inform decisions.
• Real-world data supplements clinical trial results and economic models.
• Data enables targeted interventions and supports pricing negotiations.

Conclusions:

• Healthcare payers leverage extensive databases for real-world insights.
• Health outcomes data is instrumental in optimizing resource allocation and improving patient management.
• Utilizing real-world data enhances decision-making for payers and healthcare organizations.