Finding Signials in The Noisy Accident-Related Claims Arena
Innovation is part of the culture at GoSB. We are focused on realizing its full impact.
For example, we framed a new approach to identifying auto accident claims -- also known as "accident-related claims" or "ARCs" in the industry -- based on the belief that the signals determining causation and financial responsibility are present, but not being assembled. As a result, qualifying claims pass through workflows undetected, and revenue leaks away.
Over the past year, we have advanced that work. We test it at a scale only an ARC specialist can achieve and refine the architecture through real world deployment. What has emerged is a capability that consistently surfaces recovery opportunities that traditional workflows miss.
Most revenue cycle systems rely on deterministic signals such as registration indicators, payer sequencing, or coverage discovery. These approaches are necessary, but they miss ARC cases because the signal rarely exists in a single place. Instead, it is often embedded in narrative and context, such as a paramedic report or clinical documentation that implies causation. Individually, these fragments may not change how an encounter is handled. Together, they provide clarity.
We developed an ARC detection constellation that relies on emerging technologies and assembles distributed signals across claims data, clinical narratives, and coverage activity to identify cases that would otherwise remain invisible. In a provider evaluation across nearly 500,000 encounters, the model revealed meaningful recovery opportunities across the patient journey that existing workflows had never surfaced.
What we are seeing now is just the first indication of what becomes possible when those signals can finally be assembled and understood.
This is only the beginning.
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Larrian Martin is the Chief Information Officer at GoSB, a specialty revenue cycle management company, and formerly EVP of Data & Insights at Envision Healthcare.
To learn more about how specialization and automation can turn complexity into opportunity, email him at l.martin@go-sb.com.
