IDENTIFYING POSSIBLE MEDICAL CONDITIONS OF A PATIENT

• US 20090062623A1
• Filed: 04/24/2008
• Published: 03/05/2009
• Est. Priority Date: 08/30/2007
• Status: Abandoned Application

• Current Assignee: Kimberly-Clark Worldwide Incorporated (Kimberly-Clark Corporation)
• Original Assignee: Kimberly-Clark Worldwide Incorporated (Kimberly-Clark Corporation)
• Inventors: Westra, Christopher S., Garvey, Michael Joseph, Cohen, Jason C.
• Application Number:
  US12/108,832
• Publication Number:
  US 20090062623A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

Assisting a health care provider in rapidly detecting a possible medical condition in a patient. In an embodiment, a handheld portable device programmed with software instructions is configured to interact with the patient to deduce a list of possible medical conditions. The deduced list of possible medical conditions is provided to a health care provider for diagnosis. Suggested treatment plans may also be provided based on the list of possible medical conditions.

Claims

1. A mobile computing apparatus for identifying one or more medical conditions possibly associated with a patient, said mobile computing apparatus comprising:

a display;

a user input interface;

a memory area for storing a plurality of questions related to a plurality of symptoms, said memory area further storing a correspondence between the plurality of symptoms and a plurality of medical conditions; and

a processor configured to execute computer-executable instructions for;

selecting a series of questions from the plurality of questions stored in the memory area;

presenting each of the selected questions to the patient in succession via the display;

receiving, via the user input interface, a response to each of the presented questions as the questions are presented, wherein the response corresponds to one or more of the symptoms stored in the memory area, and wherein each next question in the series is dynamically selected based on the response received from the patient to a previous question; and

determining, based on the correspondence between the plurality of symptoms and the plurality of medical conditions stored in the memory area, one or more of the medical conditions associated with the patient.

2. The mobile computing apparatus of claim 1, wherein the memory area further stores a medical history of the patient, and wherein each next question in the series is dynamically selected based on the response received from the patient to the previous questions and based on the medical history of the patient.

3. The mobile computing apparatus of claim 1, wherein the medical history comprises a list of previously prescribed medications, and wherein the processor is further configured to select the series of questions based on side effects associated with the previously prescribed medications.

4. The mobile computing apparatus of claim 1, wherein the processor is further configured to identify at least one medication or herbal supplement to treat the determined medical conditions.

5. The mobile computing apparatus of claim 1, wherein receiving the response from each of the presented questions comprises receiving a response from the user indicating uncertainty by the user, and wherein the processor is further configured to execute computer-executable instructions for selecting and presenting another series of questions to the user, said other series of questions relating to the uncertainty response.

6. The mobile computing apparatus of claim 1, wherein the processor is further configured to identify medical literature for further information regarding the determined medical conditions.

7. The mobile computing apparatus of claim 1, wherein the processor is further configured to display one or more of the following on the display:

advertisements, games, videos, and coupons.

8. The mobile computing apparatus of claim 1, wherein the plurality of questions stored in the memory area are grouped according to a medical topic associated therewith.

9. The mobile computing apparatus of claim 1, wherein the memory area corresponds to a memory card inserted into the mobile computing apparatus.

10. One or more computer-readable media having computer-executable components for aiding in the diagnosis of a patient, said components comprising:

a correspondence component including a decision tree, said decision tree defining a relationship between a plurality of questions and a plurality of medical conditions;

an interface component for receiving input from the patient;

a questionnaire component for dynamically selecting a series of the questions from the questionnaire component based on input received from the patient via the interface component;

an analysis component for identifying one or more of the medical conditions for the patient based on the decision tree in the correspondence component and on the input from the patient received via the interface component; and

a feedback component for receiving a diagnosis for the patient from a health care provider and comparing the received diagnosis with the medical conditions identified by the analysis component, wherein the feedback component adjusts the decision tree stored in the correspondence component based on the comparison.

11. The computer-readable media of claim 10, wherein the correspondence component comprises a plurality of the decision trees each corresponding to one of a plurality of health care providers, and wherein the feedback component adjusts the decision tree for each of the health care providers based on the diagnosis from the corresponding health care provider.

12. The computer-readable media of claim 10, wherein the correspondence component, the interface component, the questionnaire component, the analysis component, and the feedback component are associated with a web service and communicate with a mobile computing device associated with the patient.

13. The computer-readable media of claim 10, wherein the correspondence component, the interface component, the questionnaire component, the analysis component, and the feedback component are associated with one or more of the following:

a mobile computing device, a wireless device, a cellular telephone, and a personal digital assistant.

14. The computer-readable media of claim 10, further comprising one or more of the following:

means for defining the decision tree; and

means for dynamically selecting the series of questions based on input received from the patient.

15. The computer-readable media of claim 10, wherein the questionnaire component further selects questions based on interaction data associated with medications currently taken by the patient.

16. The computer-readable media of claim 10, wherein the feedback component provides the adjusted decision tree to a plurality of health care providers.

17. The computer-readable media of claim 10, further comprising a history component for storing the input received by the interface component and the diagnosis received by the feedback component, wherein the history component is specific to the patient.

18. A method comprising:

accessing a decision tree having nodes corresponding to questions, wherein each of the questions is conditionally linked to other questions within the decision tree, said decision tree having leaf nodes representing medical conditions;

applying the questions from the decision tree to the user;

traversing the decision tree based on responses received from the user to the applied questions to identify one or more of the leaf nodes;

determining the medical conditions associated with the identified leaf nodes;

identifying a plurality of questions within the decision tree that were not applied to the user;

applying one or more randomly selected questions from the identified plurality of questions to the user and traversing the decision tree based on responses to the applied randomly selected questions to identify additional medical conditions; and

providing the determined medical conditions and the additional medical conditions to a health care provider.

19. The method of claim 18, further comprising receiving data regarding vital statistics of the user, wherein traversing the decision tree comprising traversing the decision tree based in part on the received data.

20. The method of claim 18, wherein the decision tree corresponds to a type of illness.