eLearning Module - FSA - Predictive Modeling for Healthcare Actuaries

By Society of Actuaries · 2026

Study guide: Exam GH-301

The eLearning module that covers the Predictive Analytics topic of the Society of Actuaries' GH 301 course. The SOA's course strategy guide says candidates review the module and the source material it references, most of which gives examples of how a health actuary may use predictive analytics, how the results may be interpreted, and the shortcomings to keep in mind, and that the module notes whether or not each document is testable. The syllabus says module content is accessed through the SOA online portal registration.

On the syllabus

• Exam GH-301 — Outcomes 6a-6e: common applications of predictive analytics in health care, types of risk score models, healthcare data sources for predictive modelling, challenges of using claims in model development, and ethical considerations for actuaries.

Contents unavailable The module is available only through the SOA's online portal, so its content and section titles could not be read. This page records its citation and assignment from the syllabus and the SOA's course strategy guide.

Sources

• GH 301 Syllabus, Nov 2026/Mar 2027/Jul 2027 (SOA) — the reading ("eLearning Module: FSA: Predictive Modeling for Healthcare Actuaries"), outcomes 6a-6e and the online content registration note; the syllabus prints no date, so the year 2026 is that of its sittings
• GH 301 Course Strategy Guide, Nov 2026/Mar 2027/Jul 2027 (SOA) — the SOA's description of the module as the content of the Predictive Analytics topic