Announcement

New in Carebricks: Real-Time Reasoning with Lab Results

Lab results are now fully integrated into the Carebricks platform, giving health systems a new layer of structured, real-time signal to inform clinical reasoning and trigger action. From routine panels to condition-specific labs, these values often provide the earliest sign of clinical change, before a diagnosis is documented, a note is written, or symptoms appear.

This update expands Carebricks’ ability to surface risk, automate follow-up, and support decision-making across a wide range of workflows. With lab data, Carebricks doesn’t just understand more, it understands sooner.

Turning raw lab values into action

Carebricks now ingests and interprets lab results alongside notes, imaging, medications, and longitudinal history. This allows the platform to:

  • Detect risk based on elevated A1c, LDL, creatinine, and other labs, even when no diagnosis has been recorded
  • Confirm clinical eligibility for treatments, referrals, or next steps tied to guideline thresholds
  • Track trends in chronic conditions like kidney disease or anemia to flag deterioration before it’s otherwise visible
  • Trigger timely follow-up for results that may not be seen or acted on by providers

These capabilities strengthen Carebricks’ core workflows, such as surfacing actionable findings and identifying patients overdue for follow-up. They also enhance adjacent use cases like triaging referral queues based on lab-confirmed severity, confirming criteria for prior authorization, or enrolling patients in registries using structured values.

More signal, smarter workflows

Lab integration improves the precision and utility of Carebricks across every supported domain. It adds:

  • Timeliness by capturing changes in patient status as soon as labs return
  • Accuracy by grounding decisions in objective, real-world physiology
  • Workflow integration by enabling Carebricks to use lab thresholds to auto-triage, generate outreach, or place orders

This launch brings us closer to whole-chart reasoning, where structured data, unstructured insights, and clinical guidelines come together to drive the right next step for every patient.

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Alex Sandhu, MD, MS
Stanford University
Cardiologist and Health Services Researcher