ADVANCED HEALTH MONITORING SYSTEM AND METHOD

• US 20190311812A1
• Filed: 10/17/2018
• Published: 10/10/2019
• Est. Priority Date: 04/10/2018
• Status: Active Application

• Current Assignee: Mobile Innovations LLC
• Original Assignee: Mobile Innovations LLC
• Inventors: Sweeney, Robert J.
• Application Number:
  US16/162,575
• Publication Number:
  US 20190311812A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A health monitoring (HM) computing device for monitoring patient vitals in real time is provided. The HM computing device includes at least one processor in communication with at least one memory device. The at least one processor is programmed to receive patient data from a plurality of patient computer devices associated with a plurality of patients. The at least one processor is also programmed to, for each patient of the plurality of patients, compare the received patient data corresponding to the patient to a reference model tailored to the corresponding patient. The at least one processor is also programmed to determine, based upon the comparisons, at least one status category for each of the plurality of patients. Moreover, the at least one processor is further programmed to generate and transmit instructions for displaying a first graphical user interface to a healthcare provider computer device associated with the healthcare provider.

Claims

1. A health monitoring (HM) computing device for monitoring patient vitals in real time, the HM computing device including at least one processor in communication with at least one memory device, the at least one processor programmed to:

receive patient data from a plurality of user computer devices associated with a plurality of patients, the patient data including measurements for at least one of weight, blood pressure, and pulse;

for each patient of the plurality of patients, compare the received patient data corresponding to the patient to a reference model tailored to the corresponding patient, the reference model based on historical patient data of the corresponding patient, and including threshold data for the at least one of weight, blood pressure, and pulse, the threshold data established by a healthcare provider associated with the corresponding patient;

determine, based upon the comparisons, at least one status category for each of the plurality of patients;

generate instructions for displaying a first graphical user interface on a healthcare provider computer device associated with the healthcare provider; and

transmit the generated instructions to the healthcare provider computer device to cause the first graphical user interface to be displayed on the healthcare provider computer device.

2. The HM computing device of claim 1, wherein the at least one status category is at least one of a baseline measurement status category, a warning measurement status category, and a critical measurement status category.

3. The HM computing device of claim 1, wherein the first graphical user interface includes an interactive pie chart comprising aggregate patient data based on the corresponding status category, the aggregate patient data including the received patient data.

4. The HM computing device of claim 1, wherein a plurality of status categories are determined for each patient, wherein each status category corresponds to measurements received for each of weight, blood pressure, and pulse.

5. The HM computing device of claim 1, wherein the reference model includes a plurality of thresholds based on the threshold data established for each of the plurality of patients, the plurality of thresholds including:

a first threshold corresponding to a baseline measurement status category,

a second threshold corresponding to a warning measurement status category, and

a third threshold corresponding to a critical measurement status category.

6. The HM computing device of claim 5, wherein the at least one processor is further programmed to determine at least one status category for patient data that lies in-between two of the plurality of thresholds by:

determining a calculated value;

calculating a midpoint indicator by adding the determined value to a lower threshold of the two thresholds; and

comparing the received patient data to the midpoint indicator to determine the at least one status category for the received patient data, wherein the at least one status category corresponds to one of the two thresholds.

7. The HM computing device of claim 6, wherein the calculated value is determined by:

calculating a difference between the two thresholds for which the received patient data is in-between, wherein one of the two thresholds has a lower threshold value than the other threshold; and

dividing the calculated difference by two.

8. The HM computing device of claim 1, wherein the first graphical user interface includes an interactive pie chart having a plurality of slice portions, the plurality of slice portions including:

a first slice portion corresponding to a baseline measurement status category, the first slice portion representing patients having measurements within the baseline measurement status category;

a second slice portion corresponding to a warning measurement status category, the second slice portion representing patients having measurements within the warning measurement status category; and

a third slice portion corresponding to a critical measurement status category, the third slice portion representing patients having measurements within the critical measurement status category.

9. The HM computing device of claim 8, wherein

the first slice portion is associated with a first color corresponding to the baseline measurement status category;

the second slice portion is associated with a second color corresponding to the warning measurement status category; and

the third slice portion is associated with a third color corresponding to the critical measurement status category,

wherein the first color, the second color, and the third color are each different from one another.

10. The HM computing device of claim 8, wherein, upon receiving a user selection of one of the plurality of slice portions, the at least one processor is further programmed to:

generate instructions for displaying a second graphical user interface on the healthcare provider computer device, the second graphical user interface including a total number of patients within the corresponding status category and patient data for each patient within the corresponding status category; and

transmit the generated instructions to the healthcare provider computer device to cause the second graphical user interface to be displayed on the healthcare provider computer device.

11. The HM computing device of claim 1, wherein the at least one processor is further programmed to:

generate instructions for displaying a second graphical user interface on a patient computer device associated with each of the plurality of patients, the second graphical user interface including;

a first input section for inputting patient measurements corresponding to weight;

a second input section for inputting patient measurements corresponding to blood pressure; and

a third input section for inputting patient measurements corresponding to pulse,

wherein each input section includes a status indicator configured to alert each of the plurality of patients as to whether the inputted patient measurements for a corresponding input section is within at least one of a baseline measurement status category, a warning measurement status category, and a critical measurement status category; and

transmit the generated instructions to each patient computer device to cause the second graphical user interface to be displayed on each corresponding patient computer device.

12. The HM computing device of claim 11, wherein the status indicator of each input section is instructed to change from a first color to a second color to alert each of the plurality of patients in real time.

13. The HM computing device of claim 11, wherein the at least one processor is further programmed to:

generate instructions for displaying a third graphical user interface on the patient computer device associated with each of the plurality of patients, the third graphical user interface including a general question section that includes at least one question prompt, a corresponding list of answer options below the question prompt, and a text box positioned below the corresponding list of answer options.

14. A computer-based method for monitoring patient vitals in real time, the method implemented using a health monitoring (HM) computing device, wherein the HM computing device comprises at least one processor in communication with at least one memory device, the method comprising:

receiving, by the HM computing device, patient data from a plurality of user computer devices associated with a plurality of patients, the patient data including measurements for at least one of weight, blood pressure, and pulse;

for each patient of the plurality of patients, comparing, by the HM computing device, the received patient data corresponding to the patient to a reference model tailored to the corresponding patient, the reference model based on historical patient data of the corresponding patient, and including threshold data for the at least one of weight, blood pressure, and pulse, the threshold data established by a healthcare provider associated with the corresponding patient;

determining, based upon the comparisons, at least one status category for each of the plurality of patients;

generating instructions for displaying a first graphical user interface on a healthcare provider computer device associated with the healthcare provider; and

transmitting the generated instructions to the healthcare provider computer device to cause the first graphical user interface to be displayed on the healthcare provider computer device.

15. The computer-implemented method of claim 14, wherein the first graphical user interface includes an interactive pie chart having a plurality of slice portions, the plurality of slice portions including:

a first slice portion corresponding to a baseline measurement status category, the first slice portion representing patients having measurements within the baseline measurement status category;

a second slice portion corresponding to a warning measurement status category, the second slice portion representing patients having measurements within the warning measurement status category; and

a third slice portion corresponding to a critical measurement status category, the third slice portion representing patients having measurements within the critical measurement status category.

16. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein, when executed by at least one processor on a health monitoring (HM) computing device, the computer-executable instructions cause the at least one processor to:

receive patient data from a plurality of user computer devices associated with a plurality of patients, the patient data including measurements for at least one of weight, blood pressure, and pulse;

for each patient of the plurality of patients, compare the received patient data corresponding to the patient to a reference model tailored to the corresponding patient, the reference model based on historical patient data of the corresponding patient, and including threshold data for the at least one of weight, blood pressure, and pulse, the threshold data established by a healthcare provider associated with the corresponding patient;

determine, based upon the comparisons, at least one status category for each of the plurality of patients;

generate instructions for displaying a first graphical user interface on a healthcare provider computer device associated with the healthcare provider; and

transmit the generated instructions to the healthcare provider computer device to cause the first graphical user interface to be displayed on the healthcare provider computer device.

17. The one or more non-transitory computer-readable storage media of claim 16, wherein the reference model includes a plurality of thresholds based on the threshold data established for each of the plurality of patients, the plurality of thresholds including:

a first threshold corresponding to a baseline measurement status category,

a second threshold corresponding to a warning measurement status category, and

a third threshold corresponding to a critical measurement status category.

18. The one or more non-transitory computer-readable storage media of claim 17 having computer-executable instructions embodied thereon, wherein, when executed by the at least one processor on the HM computing device, the computer-executable instructions further cause the at least one processor to determine at least one status category for patient data that lies in-between two of the plurality of thresholds by:

determining a calculated value;

calculating a midpoint indicator by adding the determined value to a lower threshold of the two thresholds; and

comparing the received patient data to the midpoint indicator to determine the at least one status category for the received patient data, wherein the at least one status category corresponds to one of the two thresholds.

19. The one or more non-transitory computer-readable storage media of claim 16, wherein the first graphical user interface includes an interactive pie chart having a plurality of slice portions, the plurality of slice portions including:

a first slice portion corresponding to a baseline measurement status category, the first slice portion representing patients having measurements within the baseline measurement status category;

a second slice portion corresponding to a warning measurement status category, the second slice portion representing patients having measurements within the warning measurement status category; and

a third slice portion corresponding to a critical measurement status category, the third slice portion representing patients having measurements within the critical measurement status category.

20. The one or more non-transitory computer-readable storage media of claim 16 having computer-executable instructions embodied thereon, wherein, when executed by the at least one processor on the HM computing device, the computer-executable instructions further cause the at least one processor to:

generate instructions for displaying a second graphical user interface on a patient computer device associated with each of the plurality of patients, the second graphical user interface including;

a first input section for inputting patient measurements corresponding to weight;

a second input section for inputting patient measurements corresponding to blood pressure; and

a third input section for inputting patient measurements corresponding to pulse,

wherein each input section includes a status indicator configured to alert each of the plurality of patients as to whether the inputted patient measurements for a corresponding input section is within at least one of a baseline measurement status category, a warning measurement status category, and a critical measurement status category; and

transmit the generated instructions to each patient computer device to cause the second graphical user interface to be displayed on each corresponding patient computer device.