Cut Manual Report Data Entry by About 95%
David Godinez demos how AbbaDox AI extracts data from reports and faxes, populating charts and sorting documents to cut manual work.
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What you’ll learn in this episode
In this conversation, David shares:
See how it comes together
David Godinez walks through the full conversation.
The Challenge: Manual Data Entry and Fax Sorting
Without AI, an administrator has to read each radiology report and fill in the chart field by field, which takes time and is prone to error.
Incoming faxes pile up as staff check each one, rename it, file it, and pass it down a chain of people to identify the patient and document type.
As David Godinez explains, these are exactly the manual, repetitive tasks that AI can take on so staff can focus on patients.
The Solution: AI That Turns Documents Into Structured Data
In this episode of Keeping Up With AbbaDox, Data Analyst David Godinez joins host Pierre-Antoine Tricen to demo AI that extracts data from text and image sources across CareFlow.
An AI engine reads reports and faxes as soon as they arrive and turns them into structured data the system can act on, from populating a breast health tab to auto-sorting a multi-document fax.
Data Analyst at AbbaDox.
“A verification screen lets staff quality-check the AI first, then you move to straight-through.”
Adoption here is staggered by design, which is the part operations leads usually want and rarely get. The AI reads a plain-text report into structured fields, detects a recommended follow-up and its timing, identifies the patient on a scanned fax even in handwriting, and splits a multi-page multi-patient fax into its document types. Staff verify until they trust it, then it runs straight through.
How AbbaDox Applies AI to Workflows
David walks through several live examples.
