AUTOMATED PATIENT-MANAGEMENT SYSTEM FOR PRESENTING PATIENT-HEALTH DATA TO CLINICIANS, AND METHODS OF OPERATION THEREOR

• US 20100131434A1
• Filed: 11/24/2008
• Published: 05/27/2010
• Est. Priority Date: 11/24/2008
• Status: Abandoned Application

• Current Assignee: Air Products and Chemicals Incorporated (Linde Plc)
• Original Assignee: Air Products and Chemicals Incorporated (Linde Plc)
• Inventors: Paris, Steven Michael, Nevins, Sean Michael, Toth, Michael S., Magent, Michael Andrew
• Application Number:
  US12/276,460
• Publication Number:
  US 20100131434A1
• Time in Patent Office: Days
• US Class Current: 706/11
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

An automated patient-management system for efficiently reporting patient information to clinicians, and a method of operation thereof is described. The system automatically collects and analyzes historic-physiologic data indicative of a patient'"'"'s health from a myriad of sources. Based on the historic-physiologic data, the system automatically generates a health-risk score indicative of whether a patient will experience a serious-medical event in the near future (e.g., a predetermined time interval). The system uses a processing model that may rely on Hierarchical-Temporal Memory techniques and other models, for extracting and analyzing patient data. The system also generates an integrated synopsis of a patient'"'"'s health condition, including the health-risk score. The synopsis is then presented (served) to a clinician in an organized, simplified, and effective manner via a client-side user interface. The synopsis enables a physician to proficiently grasp the patient'"'"'s most critical health parameters in a short period of time.

Claims

1. A computer-implemented method for automatically monitoring a patient'"'"'s health, and reporting patient information to clinicians, comprising:

analyzing historic data indicative of a patient'"'"'s health condition from a database;

determining a risk factor that a patient will experience a serious-medical event within a predetermined period of time based on the assessment; and

generating a user interface having (i) a display region in which the risk factor, and (ii) a synopsis of the patient'"'"'s health condition is displayed, whereby the risk factor coupled with the synopsis enables a clinician to grasp a patient'"'"'s most critical health parameters when viewing the display region.

2. The method as recited in claim 1, further comprising:

using a Hierarchical-Temporal Memory (HTM) model, in part, to analyze the historic data and determine the risk factor.

3. The method as recited in claim 1, wherein the display region includes at least the following health-status information:

(a) personal information about the patient including a name, sex, and age of the patient;

(b) a current condition of the patient;

(c) a history listing of major-medical events; and

(d) a listing of current medications.

4. The method as recited in claim 3, wherein the display region further includes at least one of (e) past-laboratory results, and (f) a result from a previous device interrogation.

5. The method as recited in claim 1, further comprising:

displaying one or more portions of the patient'"'"'s health condition on a web-based discussion forum wherein clinicians are prompted to post questions and discuss issues relevant to the patient'"'"'s health condition.

6. The method as recited in claim 1, further comprising:

mining medical-discussion forums for content relevant to a patient'"'"'s health condition, based on contextual data associated with the patient'"'"'s health condition, and/or based on data associated with a practice of a clinician; and

generating a user interface having a second-display region containing at least a portion of the content associated with the patient and/or the clinician.

7. The method as recited in claim 1, further comprising:

mining medical journals for content relevant to a patient'"'"'s health condition, based on contextual data associated with the patient'"'"'s health condition, and/or based on contextual data associated with a practice of a clinician; and

generating a user interface having a second-display region containing of at least a portion of the content associated with the patient and/or the clinician.

8. The method as recited in claim 1, wherein the risk factor is a scaled-numerical value.

9. A computer-implemented method for automatically monitoring a patient'"'"'s health, and reporting patient information to clinicians, comprising:

analyzing historic data indicative of a patient'"'"'s health condition from a database;

predicting whether a patient will experience a serious-medical event within a predetermined-time period;

generating a health-risk score based on the prediction, wherein the health-risk score is indicative of the likelihood that the patient will experience the serious-medical event within the predetermined-time period; and

generating a user interface having (i) a display region in which the health-risk score, and (ii) a synopsis of the patient'"'"'s health condition is displayed, wherein the synopsis includes;

a present condition, a last hospitalization, a present medication, and a laboratory result about the patient, whereby the health-risk score coupled with the synopsis enables a clinician to grasp a patient'"'"'s most critical health parameters when viewing the display region.

10. The method as recited in claim 9, further comprising transmitting the health-risk score to a clinician.

11. The method as recited in claim 9, further comprising rendering a webpage containing at least one section with a patient name and their respective health-risk score.

12. The method as recited in claim 9, further comprising using, a Hierarchical-Temporal Memory (HTM) model, in part, to analyze historic data about the patient and determine the health-risk score.

13. The method as recited in claim 9, further comprising generating the health-risk score and an integrated synopsis of the patient'"'"'s health condition for display on a webpage including generating a display region containing at least the following:

(a) personal information about the patient including at least a name, sex, and age of the patient;

(b) a current condition of the patient;

(c) a history listing of major-medical events; and

(d) a listing of current medications.

14. The method as recited in claim 9, further comprising:

displaying one or more portions of a patient'"'"'s health condition on a web-based discussion forum wherein clinicians are prompted to post questions and discuss issues relevant to a health condition of the patient.

15. One or more computer-readable media having computer-readable instructions thereon which, when executed by the one or more processors, cause a computer device to:

generate a user interface that includes at least one display region containing a summary of a health status of a particular patient, wherein the summary includes at least one of the following about the patient;

a present condition, a last hospitalization, a present medication, and a laboratory result;

predict whether the patient will experience a serious-medical event within a predetermined-time period;

generate a health-risk score based on the prediction, wherein the health-risk score is indicative of the likelihood that the patient will experience the serious-medical within the predetermined-time period; and

include the health-risk score as data within the generated user interface.

16. The computer-readable media of claim 15, further having computer-readable instructions thereon which, when executed by the one or more processors, cause a computer device to:

mine medical-discussion forums for content relevant to a patient'"'"'s health condition, based on contextual data associated with the patient'"'"'s health condition, and/or based on data associated with a practice of a clinician; and

generating a display of at least a portion of the content associated with the patient and/or the clinician.

17. The computer-readable media of claim 15, further having computer-readable instructions thereon which, when executed by the one or more processors, cause a computer device to:

mine medical journals for content relevant to a patient'"'"'s health condition, based on contextual data associated with the patient'"'"'s health condition, and/or based on data associated with a practice of a clinician; and

generating a display of at least a portion of the content associated with the patient and/or the clinician.

18. The computer-readable media of claim 15, further having computer-readable instructions thereon which, when executed by the one or more processors, cause a computer device to:

process data about the patient using a Hierarchical-Temporal Memory (HTM) model, to generate the health-risk score.

19. A patient-management system for tracking a patient'"'"'s health, and reporting patient information to clinicians, comprising:

a memory for storing computer readable code; and

a processor operatively coupled to the memory that, upon executing the computer readable code, is configured to;

analyzing health-status information associated with a patient;

determining a risk factor that a patient will experience a serious-medical event within a predetermined period of time based on the analysis; and

generating a user interface having (i) a display region in which the risk factor, and (ii) an integrated synopsis of the patient'"'"'s health condition is displayed, whereby the risk factor coupled with the synopsis enables a clinician to view a patient'"'"'s most critical health parameters in a single display region.