US 12,216,690 B1
Automated indexing and extraction of fields in digital records
Julia Penfield, Seattle, WA (US); Aatish Suman, Austin, TX (US); Veeru Talreja, Morgantown, WV (US); and Misbah Zahid Khan, Mississauga (CA)
Assigned to VELOCITYEHS HOLDINGS, INC., Chicago, IL (US)
Filed by VelocityEHS Holdings, Inc., Chicago, IL (US)
Filed on Dec. 18, 2023, as Appl. No. 18/543,313.
Application 18/543,313 is a continuation of application No. 18/134,023, filed on Apr. 12, 2023, granted, now 11,893,048.
Application 18/134,023 is a continuation in part of application No. 18/098,055, filed on Jan. 17, 2023, granted, now 11,727,702, issued on Aug. 15, 2023.
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 30/19 (2022.01); G06F 16/31 (2019.01); G06F 40/279 (2020.01)
CPC G06F 16/328 (2019.01) [G06F 40/279 (2020.01); G06V 30/19 (2022.01)] 24 Claims
OG exemplary drawing
 
1. A method to automatically index multiple informational fields in digital data records, the method comprising:
identifying, based on rules defining target fields, for each target field of the target fields, at least one page in a digital data record, the page comprising content related to the target field;
extracting, for each target field, from the at least one page, at least one portion of text;
inputting the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field;
determining, for the target field, via the ML model, at least one candidate text comprising the content; and
extracting, the at least one candidate text.