Bi-directional messaging in health care

• US 20060031101A1
• Filed: 06/30/2004
• Published: 02/09/2006
• Est. Priority Date: 06/30/2004
• Status: Abandoned Application

• Current Assignee: PAR3 Communications, Inc. (Microsoft Corporation), University Of The Sciences In Philadelphia (The)
• Original Assignee: PAR3 Communications, Inc. (Microsoft Corporation)
• Inventors: Ross, S. Michael
• Application Number:
  US10/879,357
• Publication Number:
  US 20060031101A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 70/60 relating to pathologies
• 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 method for patient bi-directional messaging to improve patient adherence to case management, is disclosed. The method extends the provider/patient communication beyond the provider premises. The method includes comparing source characteristics to target characteristics of both source and target patients, respectively thus updating questions posed to the target patients to promote a learning protocol. A PAR3 communication device communicates patient information from the provider to the patient and vice-versa. The bi-directional messaging system improves patient medication adherence, follow-up visits, hospitalization information, quality of life indicators, and a comprehension of educational content related to a particular medical condition.

Claims

1. A method for extending provider-patient communication beyond an office setting, comprising:

providing an events-driven patient database;

creating an application patient database from the events-driven patient database;

accessing the application patient database via a feedback oriented bi-directional messaging system to highlight a target patient;

communicating with the target patient via a communication medium using the bi-directional messaging system;

receiving feedback data from the target patient via the communication medium and conveying the feedback data to the application patient database; and

updating the application patient database using the feedback data received from the target patient.

2. The method of claim 1, wherein the events-driven patient database includes data from bipolar, depression, diabetes and asthma patients modules.

3. The method of claim 1, wherein the application patient database includes customized/personalized asthma patient data.

4. The method of claim 3, wherein said asthma patient data includes disclaimer information, previous reinforcement information, education information, reinforcement information, and reminders information.

5. The method of claim 1, wherein the bi-directional messaging system includes a PAR3 messaging system module.

6. The method of claim 1, wherein the bi-directional messaging system includes a patient specific algorithm tailored to the application database that controls information flowing on the communication medium to the target patient.

7. The method of claim 6, wherein the patient specific algorithm includes content related to asthma patients, further comprising:

contacting the target patient at least three times weekly, of five minutes duration, respectively;

providing an educational information module regarding asthma;

accessing an asthma condition status module;

providing a behavioral reminders module related to a treatment plan adherence module;

accessing the target patient name, gender, age, asthma drugs and self-reported information via an introduction/authentication module; and

conducting a monthly survey for six months of at least twenty minutes, but no more than thirty minutes duration to assess results of the patient specific algorithm.

8. The method of claim 6, wherein the patient specific algorithm includes content related to bipolar patients, further comprising;

contacting the target patient at least three times weekly of five minutes duration, respectively;

providing an educational information module regarding bipolar disorders;

aggregating a patient mood chart data module;

alerting a specific patient behaviors module;

accessing the target patient name, caregiver name and medication name via an introduction/authentication module;

accessing suicide screen, medication adherence, mood rating, mood severity and sleep rating modules to assay the bipolar disorder; and

summarizing content related to the bipolar patients via a conclusion module and conducting a monthly survey for six months to assess results of the bipolar patient specific algorithm.

9. The method of claim 6, wherein the patient specific algorithm includes content related to diabetes patients, further comprising:

contacting the target patient at least three times weekly of five minutes duration, respectively;

authenticating the target patient and accessing the target patient name, caregiver name and medication name via an introduction/authentication module;

accessing a previous reinforcement module for the feedback data;

accessing an education module for educating the target patient on diabetes data specific to the target patient;

accessing a reinforcement module to reinforce patient diabetes management and home blood glucose tests;

accessing a reminders module to remind the target patient to adhere to diabetes medication and regimentation; and

summarizing content related to the diabetes patient via a conclusion module and conducting a monthly survey for six months to assess results of the diabetes patient specific algorithm.

10. The method of claim 6, wherein the patient specific algorithm includes content related to patients experiencing depression, further comprising;

contacting the target patient at least three times weekly of five minutes duration, respectively;

authenticating the target patient and accessing the target patient'"'"'s history and medication via an introduction/authentication module;

accessing a previous reinforcement module for the feedback data;

accessing an education module for educating the target patient on depression and crisis management specific to the target patient;

accessing a reinforcement module to reinforce crisis management and medication adherence;

accessing a reminders module to remind the target patient to adhere to their as prescribed medications; and

summarizing content related to the target patient experiencing depression via a conclusion module and conducting a monthly survey for six months to assess results of the patient specific algorithm.

11. The method of claim 1, wherein the communication medium includes a land-line telephone.

12. The method of claim 1, wherein the communication medium includes a fax machine.

13. The method of claim 1, wherein the communication medium includes a cellular telephone.

14. The method of claim 1, wherein the communication medium includes a personal computer accessing a conventional web server.

15. The method of claim 1, wherein the communication medium includes a personal data assistant.

16. The method of claim 1, further comprising communicating with the target patient via the communication medium that includes a combination of a land-line telephone, a fax machine, a cellular telephone, a personal computer and a personal data assistant.

17. A method for extending provider-patient communication beyond an office setting, comprising:

providing an events-driven patient database;

creating an application patient database from the events-driven patient database;

accessing the application patient database via a PAR3 messaging system to highlight a target patient;

communicating with the target patient using a land-line telephone;

receiving feedback data from the target patient via the land-line telephone and conveying the feedback data to the application database via a conventional web-based computer; and

updating the application patient database using the feedback data.