Workflow catalog

Operational workflows for medical chronology and claims legal review.

This page replaces the old team emphasis with the product story users actually need to understand: what EarthlyAI produces, for whom, and how each output supports real downstream decisions.

Workflow 01

Medical Chronology

A structured reading of a patient record that captures encounters, conditions, medications, procedures, vitals, and family signals in an order humans can follow quickly.

What it does

Reconstructs the patient summary from fragmented charts.

Instead of forcing reviewers to hop between dozens of records, EarthlyAI assembles the timeline, identifies turning points, and keeps the evidence grounded in source material.

  • Chronological encounter summaries
  • Condition and medication continuity
  • Readable chart-level dossier output
Typical users
01

Clinical operations

Summarize long records for utilization review, care coordination, and internal case preparation.

02

Medical review teams

Understand treatment arcs, dates of service, and major changes without starting from zero every time.

03

Litigation support

Build an initial chronology that legal reviewers can annotate and refine further.

Workflow 02

Claims and Legal Review

A focused workflow for turning claim packets and associated medical documents into a case-ready evidence structure.

Claim intake

Organize what arrived.

When packets are duplicated, missing order, or filled with weak metadata, EarthlyAI first restores structure so a reviewer can see what is actually present.

Fact extraction

Pull out the dates, actors, and medical events that matter.

This is where chronology and claims work converge: service dates, diagnoses, treatment windows, providers, and critical evidence fragments are surfaced together.

Review packet

Hand reviewers something defensible.

Outputs can include chronology summaries, evidence-linked notes, and issue-focused packets that speed counsel, adjuster, or internal medical review.

Workflow 03

Interactive exploration layers.

The website now makes the demo surfaces visible because they are part of the product story, not side files.

Patient summary

A dossier-like narrative page.

The patient summary page shows how a record can read like a polished chronology product rather than a dump of extracted facts.

Patient graph

An explorable node-and-edge record model.

The patient graph demonstrates how reviewers can pivot between encounters, conditions, medications, providers, and family history as a connected graph.

Operator value

Different surfaces for different review moments.

Some users need a fast summary, others need a defensible packet, and others need an interactive model for investigation. EarthlyAI should support all three.

Workflow 04

Shared characteristics across every workflow.

Grounded outputs Chronologies and summaries stay tied to underlying source evidence.
Private deployment The same workflow logic can run in environments where cloud-first tools are not acceptable, with GDPR and HIPAA compliant deployment patterns.
Readable artifacts Outputs are meant for people making decisions, not just developers inspecting extraction JSON.
Expandable Chronology today can become broader claims review, legal packet generation, or graph-based search tomorrow.
Workflow to pilot

Pick the first product surface, then scale the archive.

If you are leading with medical chronology or claims review, the next practical question is deployment scope and pilot packaging.

View pilot packaging Review platform