Artificial Intelligence (AI) is steadily reshaping digital pathology – but not through sudden disruption or autonomous diagnosis. In the U.S. healthcare environment, AI is evolving as a clinically governed, decision-support technology that enhances diagnostic consistency, operational efficiency, and long-term sustainability for pathology laboratories.

In 2026’s complex reimbursement landscape, clean claims are the foundation of sustainable revenue and optimized cash flo...
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For U.S. healthcare providers, 2026 represents a genuine inflection point for accounts receivable (AR) – driven by sever...
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Healthcare’s digital transformation has reached a regulatory inflection point. As of January 2026, the Centers for Medic...
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For U.S. healthcare providers, advancements in AI and data analytics are no longer experimental – they are actively resh...
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In U.S. healthcare, small process gaps can have big financial consequences. The revenue cycle – from patient registratio...
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Rural health news has been increasingly unpredictable in recent years. At the announcement of the One Big Beautiful Bill...
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Risk adjustment audits are changing again, and leaders in charge of risk adjustment services should take note as the imp...
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With telehealth now a mainstream mode of care, many pathology labs, clinical laboratories, and behavioral health provide...
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Accuracy gets all the attention in risk adjustment coding, and rightly so. It’s the backbone of compliance, reimbursemen...
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