Eliminating fragmented chart review by consolidating all patient data into a single, clinically relevant snapshot.

Can AI Pre-Charting Pull in Labs, Imaging, Referrals, and Specialist Notes Into One Unified Summary?

Every provider knows the frustration of fragmented charts. Labs are in one tab, imaging in another, consult notes buried in scanned PDFs, and referral updates lost in messaging threads. Pre-charting becomes a scavenger hunt—time-consuming, mentally draining, and highly inconsistent across providers and locations.

AI-powered pre-charting solves this fragmentation by pulling all relevant patient information into one unified, organized, and contextually-relevant summary. Instead of navigating 10–15 different screens, providers start every visit with a clear, complete snapshot of the patient’s story.

AI Aggregates All Core Clinical Data in Seconds

Before the provider even enters the room, AI retrieves, organizes, and summarizes:

1. Labs

  • Trending A1C, LDL, eGFR, TSH, PSA, etc.
  • Abnormal results highlighted
  • Clinical significance summarized
  • Comparison against prior values

Instead of scrolling through pages of numeric tables, providers see meaningful trends.

2. Imaging

AI extracts:

  • Impression summaries
  • Relevant findings
  • Prior comparisons
  • Radiology recommendations

No more opening multiple PDFs or deciphering long radiology reports—AI surfaces what is actionable.

3. Referrals + Care Coordination Notes

AI identifies:

  • Pending referrals
  • Completed specialist consults
  • Care recommendations not yet addressed
  • Missing follow-ups
  • Referral gaps that impact quality measures

Providers immediately know whether the care plan is on track—or where it stalled.

4. Specialist Documentation

Specialty consult notes often contain key insights but are time-consuming to parse.

AI summarizes:

  • Key diagnoses
  • New medications
  • Recommended interventions
  • Monitoring or follow-up instructions
  • Diagnostic findings

This eliminates ambiguity and ensures the primary provider is always aligned with specialist recommendations.

5. Hospital and ER Data

AI pulls:

  • Discharge summaries
  • Medication changes
  • New diagnoses
  • Pending workups
  • Post-discharge instructions

This prevents gaps in care and reduces readmission risk.

6. Authorizations and Orders

AI tracks:

  • Prior auth status
  • Expirations
  • Diagnostic orders
  • Uncompleted labs or imaging
  • Bottlenecks that may impact today’s care

Providers enter each visit with operational clarity—not surprises.

The Power of a Unified Summary: One Screen, Full Context

Instead of clicking, scrolling, searching, and cross-referencing, providers receive:

A single, structured pre-chart summary including:

  • Relevant medical history
  • Recent events
  • Outstanding issues
  • Pending tasks
  • Clinical insights tailored to the visit reason

It’s not just convenient—it's transformational.

Providers immediately understand:

  • What has changed since the last encounter
  • What needs attention today
  • What remains incomplete
  • What external data may influence clinical decisions

This dramatically improves clinical efficiency and cognitive clarity.

AI Filters Out Noise and Focuses on the Clinically Meaningful

Not everything belongs in a pre-chart summary.

AI excludes:

  • Normal labs with no relevance
  • Old imaging that doesn’t affect today’s visit
  • Resolved issues
  • Duplicate consult information
  • Administrative clutter

Providers get a better starting point because the system shows only what matters.

Every Data Type Is Integrated, Interpreted, and Connected Back to the Encounter

The provider no longer has to:

  • Switch tabs
  • Open attachments
  • Compare values manually
  • Interpret long-form text
  • Cross-reference specialist recommendations

AI has already done it—accurately, consistently, and tailored to the specialty.

The Impact: Faster Visits, Better Decisions, and Higher Quality Care

When clinicians begin with unified, curated data, they experience:

  • Faster pre-visit preparation
  • More focused patient conversations
  • Fewer missed diagnoses or follow-up tasks
  • More accurate documentation
  • More efficient clinical decisions
  • Dramatically reduced mental load

What once required 5–10 minutes per patient now takes seconds.

AI eliminates chart fragmentation—and with it, a major source of provider frustration and burnout.

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