US 10,476,821 B2Granted

System and method for secure messaging

AssigneeAtos Digital Health Solutions, Inc.

InventorsAsif Ahmad, David Raju Manne, Pranam Ben

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Abstract

Disclosed herein is a secure messaging engagement hub for structuring of unstructured electronic messages. The secure messaging engagement hub has a natural language processor that structures an unstructured electronic message. The natural language processor structures the unstructured electronic message by using a lexical parser to parse free text within the unstructured electronic message. The natural language processor also may tokenize the parsed free text into tokens representing components of the parsed free text. Message component n-grams are generated based on the tokens representing the components of the parsed free text. The tokens are coded with various metadata tags based on an analysis of the tokens. The metadata tags indicate message components of the tokens. And a structured electronic message corresponding to the unstructured electronic message is generated, the structured electronic message comprising the tokens and the metadata tags.

Claims18

Dependent claims

An engagement hub for secure messaging and structuring of unstructured electronic messages, the engagement hub comprising:

a natural language processor in communication with a hub data repository;
and
an engagement hub processor comprising a patient education module and a data analyzer,
wherein the natural language processor is configured to structure an unstructured electronic message received at the engagement hub via network connectivity devices, the unstructured electronic message comprising routing characteristics,
wherein the data analyzer of the engagement hub processor is configured to analyze the stored structured message;
determine the presence of a payer claim metadata tag;
receive approval of a claim;
and
transmit the approval to a payer,
wherein the patient education module of the engagement hub processor is configured to access health videos and user defined customizable educational information from the hub data repository and to execute instructions which cause said health videos and user defined customizable health information to be output to a display for engaging patients to improve health education, and
wherein structuring the unstructured electronic message comprises
using a lexical parser to parse free text within the unstructured electronic message;
tokenizing the parsed free text into a plurality of tokens representing components of the parsed free text;
performing a keyword analysis of the tokenized parsed free text and generating a tag identifying a message concept based on the keyword analysis;
generating message component n-grams based on the plurality of tokens representing the components of the parsed free text;
coding each of the plurality of tokens with one of a plurality of metadata tags based on an analysis of the plurality of tokens, said ones of the metadata tags indicating message components of the plurality of tokens;
generating a structured electronic message corresponding to the unstructured electronic message, the structured electronic message comprising the plurality of tokens, the message concept tag, and the plurality of metadata tags;
and
storing the structured electronic message in the hub data repository,
wherein said plurality of metadata tags is associated with patient medical information.

17 more elements

A method in an engagement hub for secure messaging and structuring of unstructured electronic messages using a natural language processor, the method comprising:

receiving at the engagement hub via network connectivity devices, an unstructured electronic message comprising routing characteristics;
using a lexical parser of the natural language processor to parse free text within the unstructured electronic message;
tokenizing the parsed free text into a plurality of tokens representing components of the parsed free text;
performing a keyword analysis of the tokenized parsed free text and generating a tag identifying a message concept based on the keyword analysis;
generating message component n-grams based on the plurality of tokens representing the components of the parsed free text;
coding each of the plurality of tokens with one of a plurality of metadata tags based on an analysis of the plurality of tokens, the ones of the metadata tags indicating message components of the plurality of tokens;
generating a structured electronic message corresponding to the unstructured electronic message, the structured electronic message comprising the plurality of tokens, the message concept tag, and the plurality of metadata tags;
storing the structured electronic message in a hub data repository;
analyzing, using a data analyzer of the engagement hub, the stored structured message;
determining the presence of a payer claim metadata tag;
receiving approval of a claim;
and
transmitting the approval to a payer,
wherein the engagement hub further comprises a patient education module comprising health videos and user defined customizable educational information for engaging patients to improve health education, and
wherein said plurality of metadata tags is associated with patient medical information.

12 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/723,157Filed 27 May 2015 · continuation in part
Priority: 2 Jul 2013
Published: US 2015/0012289 A18 Oct 2015
Granted: 12 Nov 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06F 40/205
Natural language analysis: parsing
G06F 40/284
Recognition of textual entities: lexical analysis, e.g. tokenisation or collocates
G16H 10/60
ICT specially adapted for the handling or processing of patient-related medical or healthcare data: for patient-specific data, e.g. for electronic…
G16H 40/20
ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or…:…

Family

Application61/841,994Us provisional application · filed 2 Jul 2013
Application14/322,713Parent of this continuation-in-part · filed 2 Jul 2014
US 2015/0286790 A1Pre-grant publication · published 8 Oct 2015
US 2015/0012289 A1Published application
US 10,476,821 B2This patent

From the US filing history. Foreign family members aren’t listed.