IP Library Granted Patent US 12,609,188
Granted Patent B2
US 12,609,188 · App. 18/318,761 · Granted Apr 21, 2026

Method and system for providing health record data

Inventor: Foteini Andriopoulou (Patras, GR)
Assignee: ATOS PUBLIC SAFETY LLC
G16H10/60G06V40/172G16H50/70
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,609,188
App. No.
18/318,761
Granted
Apr 21, 2026
Kind
B2
Abstract

A method for providing health record data includes receiving data from a user, generating a victim dataset from the data, and storing the victim dataset in a victim identification database. The method can also include retrieving from a private database at least one set of private information based on the victim dataset wherein the at least one set of private information matches the victim dataset with a predefinable probability. For each set of the at least one set of private information, activity information from a list of activity databases can be collected. At least one set of aggregated information can be generated that can include private information and activity information associated with the at least one set of private information. At least one set of aggregated information can be selected that best matches the victim dataset for data retrieval.

Claims (48)

1 . A method for providing health record data, comprising:

receiving data from a user, wherein the data comprises identification information gathered by the user and/or position information of the user, where receiving the data comprises authenticating and/or authorizing an originator of the data and/or a third party;

generating a victim dataset by a victim dataset generation device from the identification information gathered by the user and/or from the position information gathered by the user;

storing the victim dataset by the victim dataset generation device in a victim identification database;

retrieving, by an identity recognition device, from a private database at least one set of private information based on the victim dataset, wherein the at least one set of private information matches the victim dataset with a predefinable probability;

collecting, by an identity processing device, for each set of the at least one set of private information, activity information from a list of activity databases, wherein the activity information is associated with the at least one set of private information;

generating, by the identity processing device, for each set of the at least one set of private information at least one set of aggregated information, wherein the at least one set of aggregated information comprises a combination of the at least one set of private information and the collected activity information associated with the at least one set of private information;

selecting, by the identity processing device, from the at least one set of aggregated information a particular set of aggregated information that best matches the victim dataset;

retrieving, by a health record evaluation device, health record data from a health record database based on information from the particular set of aggregated information with the best match;

providing, by the health record evaluation device, the health record data; and

generating and executing a smart contract based on the victim dataset and health record data, wherein the smart contract is a list of instructions which are carried out when loaded to a processor,

wherein the private database, the activity database and/or the health record database is/are accessible via an Application Programming Interface (API).

2 . The method of claim 1 , further comprising monitoring the execution of the smart contract.

3 . The method of claim 1 , wherein the received information from the private database, the activity database and/or the health record database comprises a link to a location where the information is stored and/or the database is based on blockchain technology.

4 . The method of claim 1 , wherein the at least one set of private information comprises a list of matched images.

5 . The method of claim 1 , wherein the data is identified as an emergency call by a field in a data package of the emergency call.

6 . The method of claim 1 , wherein for matching the least one set of private information with the victim dataset a machine learning algorithm is used.

7 . The method of claim 1 , wherein generating a victim dataset comprises employing a face recognition process and/or a unique feature recognition process.

8 . The method of claim 7 , wherein the face recognition process and/or the unique feature recognition process comprise a correction process.

9 . The method of claim 1 , further comprising retrieving the identification information and/or the position information by a device close to the user.

10 . A non-transitory computer-readable medium comprising program code, the code defining a method that is performed by a device that executes the code via a processor of the device, the method comprising:

receiving data from a user, wherein the data comprises identification information gathered by the user and/or position information of the user, and where receiving the data comprises authenticating and/or authorizing an originator of the data and/or a third party;

generating a victim dataset from the identification information gathered by the user and/or from the position information gathered by the user;

storing the victim dataset in a victim identification database;

retrieving, from a private database, at least one set of private information based on the victim dataset, wherein the at least one set of private information matches the victim dataset with a predefinable probability;

collecting, for each set of the at least one set of private information, activity information from a list of activity databases, wherein the activity information is associated with the at least one set of private information;

generating, for each set of the at least one set of private information, at least one set of aggregated information, wherein the at least one set of aggregated information comprises a combination of the at least one set of private information and the collected activity information associated with the at least one set of private information;

selecting, from the at least one set of aggregated information, a particular set of aggregated information that best matches the victim dataset;

retrieving health record data from a health record database based on information from the particular set of aggregated information with the best match;

providing the health record data; and

generating and executing a smart contract based on the victim dataset and health record data, wherein the smart contract is a list of instructions which are carried out when loaded to a processor,

wherein the private database, the activity database and/or the health record database is/are accessible via an Application Programming Interface (API).

11 . A system for providing health record data comprising:

a receiving device;

a victim dataset generation device;

an identity recognition device;

an identity processing device; and

a health record evaluation device;

wherein the receiving device is configured to receive data via a communication connection with a user device of a user, wherein the data comprises identification information gathered by a user and/or position information of the user, and where receiving the data comprises authenticating and/or authorizing an originator of the data and/or a third party;

wherein the victim dataset generation device is configured to generate a victim dataset from the identification information of the user and/or from the position information of the user; and

store the victim dataset in a victim identification database;

wherein the identity recognition device is configured to retrieve from a private database at least one set of private information based on the victim dataset, wherein the at least one set of private information matches the victim dataset with a predefinable probability;

wherein the identity processing device is configured to collect, for each set of the at least one set of private information and activity information from a list of activity databases, wherein the activity information is associated with the at least one set of private information;

wherein the identity processing device is configured to generate for each set of the at least one set of private information at least one set of aggregated information, wherein the at least one set of aggregated information comprises a combination of the at least one set of private information and the collected activity information associated with the at least one set of private information; and

wherein the identity processing device is configured to select from the at least one set of aggregated information a particular set of aggregated information which best matches the victim dataset;

wherein the health record evaluation device is configured to retrieve health record data from a health record database based on information from the particular set of aggregated information with the best match; and to provide the health record data; and

wherein the system generates and executes a smart contract based on the victim dataset and health record data, wherein the smart contract is a list of instructions which are carried out when loaded to a processor,

wherein the private database, the activity database and/or the health record database is/are accessible via an Application Programming Interface (API).

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2023
From: UNIFY PATENTE GMBH & CO KG; UNIFY GMBH & CO KG
To: ATOS PUBLIC SAFETY LLC
Reel/Frame 065048/0934 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2023
From: ANDRIOPOULOU, FOTEINI
To: UNIFY PATENTE GMBH & CO. KG
Reel/Frame 063667/0067 →
Priority Claims (1)
EP 22204242 · Oct 27, 2022 · regional
Continuity (1)
Related Publication 20240145046A1 · May 2, 2024
References Cited (11)
US 9928379B1 · Hoffer · 2018 [cited by examiner]
US 10255419B1 · Kragh · 2019 [cited by examiner]
US 10375558B2 · Katz · 2019 [cited by examiner]
US 11501861B2 · Finkelstein · 2022 [cited by examiner]
US 20140207686A1 · Experton · 2014 [cited by applicant]
US 20170068785A1 · Experton et al. · 2017 [cited by applicant]
US 20190035492A1 · Finkelstein et al. · 2019 [cited by applicant]
US 20200118657A1 · Finkelstein et al. · 2020 [cited by applicant]
US 20200346751A1 · Horelik et al. · 2020 [cited by applicant]
WO 2016200416A1 · 2016 [cited by applicant]
Extended European Search Report for European Application No. 22204242.6 dated Apr. 13, 2023. [cited by applicant]