The data deluge: Abundance without direction
Digital underwriting evidence has expanded dramatically. Clinical lab results now arrive electronically and in increasing detail. Electronic health records (EHRs) provide richer histories but with inconsistent structure. Claims data can illuminate long‑term patterns but often requires careful interpretation.
Insurers have more tools than ever to evaluate risk – and yet, paradoxically, the decision‑making environment often feels more complicated.
Research across RGA’s underwriting studies has shown that the industry is not lacking information. The challenge lies in determining what is relevant, and when and where to apply it. Without a framework, underwriters may:
- Review more evidence than a case requires
- Spend time on inputs that add limited protective value
- Interpret codes inconsistently across underwriters or regions
- Default to evidence familiarity rather than evidence suitability
- Create variability that affects both risk assessment and workflow efficiency
In short, the problem is not data volume; the problem is data application.
The DUE Playbook: Bringing structure to complexity
RGA’s DUE Playbook was developed to bring structure and clarity to this environment. After years of examining digital evidence performance across a range of underwriting contexts – including strengths, limitations, and optimal use cases – a clear pattern emerged.
High‑quality decisions consistently depend on anchoring three elements:
1. Evidence type
Different evidence types illuminate different aspects of an applicant’s health.
- Clinical labs offer objective, quantifiable measures.
- EHRs can reveal timeline, provider intent, and clinical context.
- Claims data uncovers longitudinal patterns and health system touchpoints.
- Pharmacy data may expose chronic conditions, adherence patterns, or contraindications.
Each type has distinctive strengths. Each requires careful interpretation. The playbook clarifies what each source can – and cannot – reliably answer.
2. Medical codes and data structure
Evidence is only as strong as its underlying coding systems.
LOINC, HCPCS, CPT, and ICD‑10 codes carry different levels of specificity and interpretive nuance. For example:
- A CPT code may indicate a procedure occurred, but not always why.
- A LOINC code may distinguish between similar lab tests with different clinical meanings.
- ICD‑10 codes may signal disease patterns but also vary in provider accuracy.
The DUE Playbook helps underwriters understand how coding impacts evidence usefulness and how to weigh inputs accordingly.
3. The underwriting question
The most important element is fundamental: What specifically is the question the underwriter is trying to answer? This will help illuminate what evidence is best to select.
The same data point may be highly valuable for one question and irrelevant for another. A single HbA1c reading, for example, may confirm a diabetes diagnosis but may not explain disease control. A claims history can be helpful for assessing the stability of chronic conditions. In contrast, claims histories do not provide the same longitudinal view for acute impairments.
A disciplined approach aligns evidence selection to underwriting intent, not general curiosity.
Transforming evidence from overwhelm to insight
When these three components align, underwriting becomes more intentional. Instead of reviewing everything, an underwriter can review what matters, supported by a framework that clarifies relevance and reduces variability.
By applying this structure, the DUE Playbook helps insurers:
- Improve underwriting consistency across teams, regions, and markets
- Reduce friction introduced by unnecessary or redundant evidence
- Clarify evidence expectations across internal and external stakeholders
- Enhance decision quality by grounding reviews in evidence suitability
- Support scalability as digital evidence sources continue to evolve
Just as Ohio State’s success hinged on disciplined execution, the DUE Playbook is designed to give insurers the structure needed to thrive amid complexity.
Why a playbook matters now
The volume of data available to underwriters will only continue to expand. Several trends reinforce the urgency of a structured approach:
- Digital health adoption is accelerating, making data more accessible but not always more interpretable.
- Regulatory expectations are evolving, particularly around data accuracy and fairness.
- Operational demands are rising, pushing underwriting teams to maintain speed without sacrificing quality.
- Automation and augmentation are becoming increasingly integrated, requiring clear evidence frameworks to support rule‑based or assisted decisions.
In this environment, insurers need more than data; they need a strategy.
A playbook — built on research, tested through underwriting experience, and designed for real‑world application — becomes essential.
Conclusion: Putting research into action
The DUE Playbook represents the next stage of RGA’s digital underwriting work that takes the industry from insight to implementation. While previous studies explored how individual evidence types perform and interact, the playbook synthesizes these learnings into a single, practical resource.
It is not a static reference. It is designed as a living framework that evolves with the industry and with new forms of evidence.
The goal is not to prescribe every case decision but rather to guide insurers toward more focused, consistent, and informed evidence strategies.
The DUE Playbook is now available. Contact us today for a free live demonstration to explore how the framework can support your business’ underwriting workflows, evidence strategies, or automation initiatives.