COLLABORATIVE HEALTHCARE

• US 20140303988A1
• Filed: 08/28/2013
• Published: 10/09/2014
• Est. Priority Date: 04/09/2013
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Mullan, Pramila, Ruderman, Brad H., Maneri, Erin, Tsing, Alice, Kavathekar, Jitendra, Wan, Dadong
• Granted Patent: US 10,902,950 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• 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 50/20 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

According to an example, collaborative healthcare may include retrieving healthcare data for a patient from at least one data source, and generating a plurality of distinct healthcare programs for the patient based on the healthcare data. Collaborative healthcare may further include reconciling the plurality of distinct healthcare programs to generate a universal patient healthcare plan for the patient. The universal patient healthcare plan may include a universal view of the overall healthcare for the patient and healthcare provider-specific views for the patient. The reconciling may include detecting conflicts for predetermined components of the healthcare programs, and in response to the detection of the conflicts, eliminating errors related to the detected conflicts.

Claims

1. A method for collaborative healthcare, the method comprising:

retrieving healthcare data for a patient from at least one data source;

generating a plurality of distinct healthcare programs for the patient based on the healthcare data; and

reconciling, by a processor, the plurality of distinct healthcare programs to generate a universal patient healthcare plan for the patient, wherein the universal patient healthcare plan includes a universal view of the overall healthcare for the patient and healthcare provider-specific views for the patient, and wherein the reconciling comprises;

detecting conflicts for predetermined components of the healthcare programs; and

in response to the detection of the conflicts, eliminating errors related to the detected conflicts.

2. The method according to claim 1, wherein detecting conflicts for predetermined components of the healthcare programs further comprises:

detecting conflicts for patient vitals, patient medications, patient lifestyle, patient appointments, and business rule components of the healthcare programs.

3. The method according to claim 1, wherein the reconciling further comprises:

determining patient preferences related to the predetermined components; and

recommending changes to the healthcare programs based on the patient preferences and the detection of conflicts.

4. The method according to claim 3, wherein recommending changes to the healthcare programs based on the patient preferences and the detection of conflicts further comprises:

recommending changes to the healthcare programs based on social network website data related to behavior of the patient.

5. The method according to claim 1, wherein the reconciling further comprises:

providing real-time connection for healthcare providers associated with the healthcare programs to resolve errors related to the detected conflicts.

6. The method according to claim 1, further comprising:

monitoring the universal patient healthcare plan to detect a health event related to the patient; and

in response to the detection of the health event, generating at least one of;

an alert to the patient related to the health event,

a workflow change related to a treatment of the patient,

a recommendation to a healthcare provider related to the health event, and

an incentive to the patient related to the health event to facilitate the treatment of the patient.

7. The method according to claim 1, further comprising:

monitoring the universal patient healthcare plan to detect a health event related to the patient; and

in response to the detection of the health event, scheduling an appointment with a healthcare provider based on the health event.

8. The method according to claim 1, further comprising:

displaying changes in a plurality of patient health care aspects on a single display for a predetermined duration for the universal patient healthcare plan for the patient.

9. The method according to claim 1, wherein generating the plurality of distinct healthcare programs for the patient based on the healthcare data further comprises:

generating a diabetes risk healthcare program for the patient based on the healthcare data; and

determining a diabetes risk score for the diabetes risk healthcare program.

10. The method according to claim 9, wherein determining the diabetes risk score for the diabetes risk healthcare program further comprises:

determining a base diabetes score, a patient vitals component, a patient behavioral component, a hospital visit component, and an unfilled medications component for the diabetes risk score.

11. The method according to claim 10, wherein determining the base diabetes score further comprises:

adjusting a base diabetes score for a healthy patient based on a body mass index (BMI) for the patient.

12. The method according to claim 10, wherein determining the patient vitals component further comprises:

determining cholesterol, blood glucose, and blood pressure sub-components of the patient vitals component, wherein the cholesterol sub-component includes high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglyceride cholesterol, wherein the blood glucose sub-component includes blood glucose readings, missed blood glucose measurements, and out of bounds blood glucose readings, and wherein the blood pressure sub-component includes blood pressure readings, missed vitals, and out of bounds blood pressure readings.

13. The method according to claim 12, further comprising:

generating a first alert based on a number of consecutive blood glucose sub-component out of bounds readings or blood pressure sub-component out of bounds readings being greater than a predetermined threshold; and

generating a second alert based on the number of consecutive blood glucose sub-component out of bounds readings or blood pressure sub-component out of bounds readings being less than the predetermined threshold.

14. The method according to claim 10, wherein determining the patient behavioral component further comprises:

determining the patient behavioral component based on missed medications, cancelled appointments, missed appointments, and caloric changes for the patient.

15. The method according to claim 10, wherein determining the hospital visit component further comprises:

determining the hospital visit component based on emergency hospital visits and inpatient hospital visits for the patient.

16. The method according to claim 10, wherein determining the unfilled medications component further comprises:

determining the unfilled medications component based on unfilled prescriptions for a predetermined time period for the universal patient healthcare plan for the patient.

17. A collaborative healthcare system comprising:

a memory storing machine readable instructions to;

receive a plurality of distinct healthcare programs for a patient; and

reconcile the plurality of distinct healthcare programs to generate a universal patient healthcare plan for the patient, wherein the universal patient healthcare plan includes a universal view of the overall healthcare for the patient and healthcare provider-specific views for the patient, and wherein to reconcile, the machine readable instructions are further to;

detect conflicts for predetermined components of the healthcare programs; and

in response to the detection of the conflicts, eliminate errors related to the detected conflicts; and

a processor to implement the machine readable instructions.

18. The collaborative healthcare system according to claim 17, wherein to detect conflicts for predetermined components of the healthcare programs, the machine readable instructions are further to:

detect conflicts for patient vitals, patient medications, patient lifestyle, patient appointments, and business rule components of the healthcare programs.

19. The collaborative healthcare system according to claim 17, wherein to reconcile, the machine readable instructions are further to:

determine patient preferences related to the predetermined components; and

recommend changes to the healthcare programs based on the patient preferences and the detection of conflicts.

20. A non-transitory computer readable medium having stored thereon a computer executable program to provide collaborative healthcare, the computer executable program when executed causes a computer system to:

receive a plurality of distinct healthcare programs for a patient; and

reconcile, by a processor, the plurality of distinct healthcare programs to generate a universal patient healthcare plan for the patient, wherein the universal patient healthcare plan includes a universal view of the overall healthcare for the patient and healthcare provider-specific views for the patient, and wherein to reconcile, the machine readable instructions are further to;

detect conflicts for predetermined components of the healthcare programs; and

in response to the detection of the conflicts, eliminate errors related to the detected conflicts.