Predictive Analytics in the Age of Un(der) Insurance: A Primer — Potential, Pitfalls and Emerging Strategies — Undue Medical Debt

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Presumptive Primer

Predictive Analytics in the Age of Un(der) Insurance: A Primer — Potential, Pitfalls and Emerging Strategies


As a follow-up to our brief, Improving Presumptive Eligibility in the Age of Un(der) Insurance: Five Strategies for Accessible Financial Aidthe following primer is designed to support decision makers, hospital leaders, advocates, community leaders and others in understanding the use of predictive tools for the purpose of identifying patients eligible for financial assistance. Predictive Analytics in the Age of Un(der)insurance: A Primer offers a deeper dive into the five strategies for effective presumptive eligibility. The primer outlines the problem that traditional approaches to financial assistance and how they are not meeting community needs. The brief also explains the practical limitations of predictive tools, including important considerations when using these tools. Finally, the primer includes a series of tables and useful ‘pull out’ tools to share with key stakeholders.


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