IP Library › Granted Patent US 12,417,825
Granted Patent B2
US 12,417,825 · App. 16/647,000 · Granted Sep 16, 2025

Systems and methods for collecting and analyzing comprehensive medical information

Inventors: James A. Heywood (Newton, MA); Paul J. Wicks (Alrewas, GB); Kimberley K. Goodwin (Oakland, CA); Renee Deehan-Kenney (Cambridge, MA)
Assignee: ALDEN SCIENTIFIC, INC.
G16H10/60G06N5/02G16H10/20
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Quick Facts
Patent No.
US 12,417,825
App. No.
16/647,000
Granted
Sep 16, 2025
Kind
B2
Abstract

Systems and methods for collecting, analyzing, and reporting information relating to comprehensive medical information from one or more users are disclosed. In some aspects, a system for collecting and analyzing medical data includes a data management system for collecting and storing medical information relating to a user, and a knowledge creation engine in communication with the data management system and configured to analyze the stored medical information for creating at least one of personalized medical advice for the user and general scientific information relating to a medical condition. A display in communication with the data management system and the knowledge creation engine can be configured to present a digital representation of the user based on the stored medical information including electronic health record (EHR), patient reported outcomes (PROs), biological samples, wearable devices, sensors, medical devices, and dynamic questionnaires to create a digital representation of the user.

Claims (75)

1. A system for collecting and analyzing medical data, comprising:

a data management system for collecting and storing medical information relating to a user, the medical information including data from at least one of an electronic health record (EHR), patient reported outcomes (PROs), one or more biological samples, one or more wearable devices, one or more sensors configured to collect data relating to a biological condition of the user, one or more medical devices, and one or more dynamic questionnaires to create a digital representation of the user;

wherein the data comprises a plurality of medical information values representative of the medical information;

wherein the data management system is configured to:

store the plurality of medical information values as a plurality of medical attributes in a plurality of medical objects of at least one medical object type;

wherein the at least one medical object type comprises:

 a condition type,

 a symptom type,

 a treatment type,

 a procedure type,

 a provider type, and

 a lab test type;

wherein each medical object of the plurality of medical objects comprises an instance of the at least one medical object type, the instance comprising at least one medical attribute of the plurality of medical attributes associated with the at least one medical object type; and

generate an assignment of each medical object of the plurality of medical objects to at least one other medical object of the plurality of medical objects,

the assignment based at least in part on at least one predefined relationship associated with each medical object of the plurality of medical objects,

the assignment further comprises relationships between:

 questions and responses to the questions and at least one of:

 scoring rules related to symptoms for each medical object, the scoring rules comprising one or more assignments of weights for the symptoms, or

 at least one treatment;

a knowledge creation engine in communication with the data management system, the knowledge creation engine configured to analyze the stored medical information, based at least in part on the plurality of medical objects of the at least one medical object type, the assignment of each medical object and at least one scoring, for creating at least one of personalized medical advice for the user and general scientific information relating to a medical condition, and

a display in communication with the data management system and the knowledge creation engine, the display configured to present a digital representation of the user based on the stored medical information.

2. The system of claim 1 , further comprising a healthcare provider engine in communication with the data management system and that is configured to generate a healthcare provider preparation document that captures information relating to the stored medical information to present a current state of the user to a healthcare provider before a scheduled appointment with the healthcare provider.

3. The system of claim 1 , wherein the one or more dynamic questionnaires includes a plurality of questions determined by a rules engine based on the stored medical information.

4. The system of claim 1 , further comprising an insight engine that is configured to generate insight information for the user using the stored medical information, the insight information being at least partially based on user attributes of a subset of users having stored data similar to the user.

5. The system of claim 4 , wherein the insight information comprises at least one of aggregated user data, health assessments, personalized medical advice, customized reports for clinicians, research results, user givebacks and customized reports related to genome/exome sequencing, transcriptomics, metabolomics, proteomics, immunosignature, and microflora/fauna.

6. A system for aggregating and analyzing data from a community, comprising:

a data management system configured to receive and store data from a plurality of users, the data relating to medical information and health status information for each of the plurality of users;

wherein the data comprises a plurality of medical information values representative of the medical information;

wherein the data management system is configured to:

store the plurality of medical information values as a plurality of medical attributes in a plurality of medical objects of at least one medical object type;

wherein the at least one medical object type comprises:  a condition type,  a symptom type,  a treatment type,  a procedure type,  a provider type, and  a lab test type;

wherein each medical object of the plurality of medical objects comprises an instance of the at least one medical object type, the instance comprising at least one medical attribute of the plurality of medical attributes associated with the at least one medical object type; and

generate an assignment of each medical object of the plurality of medical objects to at least one other medical object of the plurality of medical objects,

the assignment based at least in part on at least one predefined relationship associated with each medical object of the plurality of medical objects,

the assignment further comprises relationships between:  questions and responses to the questions and at least one of:  scoring rules related to symptoms for each medical object, the scoring rules comprising one or more assignments of weights for the symptoms, or  at least one treatment;

a processor in communication with the data management system, the processor configured to perform the steps of

analyzing the stored data for the plurality of users, based at least in part on the plurality of medical objects of the at least one medical object type, the assignment of each medical object and at least one scoring;

generating insight information for at least one of the plurality of users using the analyzed data, the insight information being at least partially based on user attributes of a subset of the plurality of users having stored data substantially similar to the at least one of the plurality of users;

wherein the data includes at least one of an electronic health record (EHR), patient reported outcomes (PROs), one or more biological samples, data from one or more wearable devices, data from one or more sensors configured to collect data relating to a biological condition of the user, data from one or more medical devices, and results from one or more dynamic questionnaires to create a digital representation of the at least one user.

7. The system of claim 6 , wherein the insight information comprises at least one of aggregated user data, health assessments, personalized medical advice, customized reports for clinicians, research results, user givebacks and customized reports related to genome/exome sequencing, transcriptomics, metabolomics, proteomics, immunosignature, and microflora/fauna.

8. A method for collecting and analyzing data, comprising:

aggregating medical information relating to a user, the medical information including data from at least one of an electronic health record (EHR), patient reported outcomes (PROs), one or more biological samples, one or more wearable devices, one or more sensors configured to collect data relating to a biological condition of the user, one or more medical devices, and one or more dynamic questionnaires to create a digital representation of the user;

wherein the data comprises a plurality of medical information values representative of the medical information;

wherein a data management system is configured to:

store the plurality of medical information values as a plurality of medical attributes in a plurality of medical objects of at least one medical object type;

wherein the at least one medical object type comprises:  a condition type,  a symptom type,  a treatment type,  a procedure type,  a provider type, and  a lab test type;

wherein each medical object of the plurality of medical objects comprises an instance of the at least one medical object type, the instance comprising at least one medical attribute of the plurality of medical attributes associated with the at least one medical object type; and

generate an assignment of each medical object of the plurality of medical objects to at least one other medical object of the plurality of medical objects,

the assignment based at least in part on at least one predefined relationship associated with each medical object of the plurality of medical objects,

the assignment further comprises relationships between:  questions and responses to the questions and at least one of:  scoring rules related to symptoms for each medical object, the scoring rules comprising one or more assignments of weights for the symptoms, or  at least one treatment;

analyzing the aggregated medical information using a computational knowledge engine based at least in part on the plurality of medical objects of the at least one medical object type, the assignment of each medical object and at least one scoring; and

generating insight information using the computational knowledge engine, the insight information relating to the aggregated medical information for presentation to the user on a display, the insight information being at least partially based on user attributes of a plurality of users having medical profiles similar to the user.

9. The method of claim 8 , wherein the one or more dynamic questionnaires includes a plurality of questions determined by a rules engine based on the aggregated medical information.

10. The method of claim 9 , wherein the rules engine determines an order of the plurality of questions.

11. The method of claim 8 , wherein the insight information comprises unique information for a user at least partially based on information from the plurality of users with similar medical profiles.

12. The method of claim 11 , wherein the insight information comprises at least one of aggregated user data, health assessments, personalized medical advice, customized reports for clinicians, research results, user givebacks and customized reports related to genome/exome sequencing, transcriptomics, metabolomics, proteomics, immunosignature, and microflora/fauna.

13. The method of claim 11 , wherein the insight information comprises a visual representation of a disease, a user's life strategy, or other information collected and/or processed by the computational knowledge engine, and is presented to a user to visually convey an understanding of their condition/illness or health status.

14. The method of claim 8 , further comprising generating a healthcare provider preparation document that captures information relating to the aggregated medical information to present a current state of the user to the healthcare provider before a scheduled appointment with the healthcare provider.

15. The method of claim 8 , further comprising determining which data to collect and at what frequency and priority using the aggregated medical information.

16. The method of claim 8 , further comprising using a phenotype measurement system to determine which data to collect.

17. The method of claim 16 , wherein the phenotype measurement system is configured to determine state changes in a status of the user for triggering the collection of biological samples.

18. A method for collecting and analyzing data, comprising:

aggregating medical information relating to a plurality of users, the medical information including data from at least one of an electronic health record (EHR), patient reported outcomes (PROs), one or more biological samples, one or more wearable devices, one or more sensors configured to collect data relating to a biological condition of the user, one or more medical devices, and one or more dynamic questionnaires;

wherein the data comprises a plurality of medical information values representative of the medical information;

wherein a data management system is configured to:

store the plurality of medical information values as a plurality of medical attributes in a plurality of medical objects of at least one medical object type;

wherein the at least one medical object type comprises:  a condition type,  a symptom type,  a treatment type,  a procedure type,  a provider type, and  a lab test type;

wherein each medical object of the plurality of medical objects comprises an instance of the at least one medical object type, the instance comprising at least one medical attribute of the plurality of medical attributes associated with the at least one medical object type; and

generate an assignment of each medical object of the plurality of medical objects to at least one other medical object of the plurality of medical objects,

the assignment based at least in part on at least one predefined relationship associated with each medical object of the plurality of medical objects,

the assignment further comprises relationships between:  questions and responses to the questions and at least one of:  scoring rules related to symptoms for each medical object, the scoring rules comprising one or more assignments of weights for the symptoms, or  at least one treatment;

analyzing the aggregated medical information using a computational knowledge engine based at least in part on the plurality of medical objects of the at least one medical object type, the assignment of each medical object and at least one scoring; and

generating research information using the analyzed aggregated medical information, the research information including results of one or more experiments run using the aggregated medical information of a subset of the plurality of users having user attributes related to one another.

19. The method of claim 18 , wherein the one or more experiments are clinical trials.

20. The method of claim 19 , further comprising communicating with the subset of a plurality of users consent information for participation in the clinical trials for which the subset of the plurality of users are determined to be eligible based on the aggregated medical information.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 18, 2024
From: PLM TOPCO, INC.
To: ALDEN SCIENTIFIC, INC.
Reel/Frame 068941/0580 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 7, 2024
From: PATIENTSLIKEME LLC
To: PLM TOPCO, INC.
Reel/Frame 068810/0390 →
CHANGE OF NAME Recorded Sep 20, 2023
From: PATIENTSLIKEME INC.
To: PATIENTSLIKEME LLC
Reel/Frame 064974/0296 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 29, 2022
From: HEYWOOD, JAMES A.; WICKS, PAUL J.; GOODWIN, KIMBERLEY K.; DEEHAN-KENNEY, RENEE
To: PATIENTSLIKEME INC.
Reel/Frame 062237/0970 →
Continuity (3)
Provisional Application 62559246 · Sep 15, 2017
Provisional Application 62613618 · Jan 4, 2018
Related Publication 20200279622A1 · Sep 3, 2020
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