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From Laboratory Automation to Intelligent Diagnostic Operations

insights  ·  11 min read

From Laboratory Automation to Intelligent Diagnostic Operations

For decades, diagnostic laboratories competed through scale, automation, network reach and payer access. AI does not make those strengths obsolete. It creates a second basis of competition through the ability to coordinate specimen, information, operational and financial decisions across the laboratory journey. The next advantage is intelligent diagnostic operations.

5 Sep 2026 healthcare AI
The Claim Is Not Suspicious in Isolation - The Provider Pattern Makes It So

insights  ·  11 min read

The Claim Is Not Suspicious in Isolation - The Provider Pattern Makes It So

A healthcare claim is built to be adjudicated as a transaction. It identifies a member, a provider, a service, a diagnosis and an amount, and on its face nothing necessarily explains why a payer should hesitate. But many payment integrity problems are invisible on a single claim. They emerge in repetition, concentration and comparison across a provider's history. AI is reshaping this by connecting retrospective provider intelligence with the near-real-time decision about the next claim, before the money moves.

5 Sep 2026 healthcare claims
Healthcare Insurance AI: MLR Is a Timing Problem, Not a Cost Problem

Industry Perspective  ·  7 min read

Healthcare Insurance AI: MLR Is a Timing Problem, Not a Cost Problem

Health plans have spent years treating the medical loss ratio as a cost management challenge — managing utilisation, tightening authorisations, negotiating provider rates. The plans that are actually moving their MLR with AI are doing something different. They are compressing the time between a detectable signal and a clinical intervention. That is a fundamentally different problem, and it requires a fundamentally different AI strategy.

2 Jun 2025 Financial Services Healthcare