CLIAMS:We claim:
1. A method for determining discharge readiness condition of a patient, the method comprising:
receiving, by a computing unit, at least one of one or more physiological data from plurality of sensors placed on the patient and one or more non-physiological data from a mobile device associated to the patient;
assigning a first weighted ratio to each of the physiological data received from the plurality of sensors and the non-physiological data received from the mobile device to generate a weighted physiological data and a weighted non-physiological data;
generating a recovery score using the weighted physiological data and the weighted non-physiological data; and
determining the discharge readiness condition of the patient when the recovery score exceeds a reference recovery score, wherein the reference recovery score is generated using a weighted personal reference score of the patient and a weighted Electronic Medical Record (EMR) reference score.
2. The method as claimed in claim 1, wherein the physiological data is at least one of body temperature data, blood pressure data, activity data, electrocardiography (ECG) data and respiratory data and the non-physiological data is at least one of medicine intake data, food intake data and discomfort level data.

3. The method as claimed in claim 1, wherein the sensors are at least one of a motion sensor, emotion sensor, physiological sensor and activity sensor.

4. The method as claimed in claim 1 further comprising displaying the recovery score on a display unit associated to the computing unit.

5. The method as claimed in claim 1, wherein the weighted EMR reference score is retrieved from an EMR database associated to the computing unit.
6. The method as claimed in claim 1, wherein the weighted EMR reference score is determined by assigning a second weighted ratio to an EMR reference score stored in the EMR database.

7. The method as claimed in claim 1, wherein the weighted personal reference score of the patient is determined by assigning a third weighted ratio to each of the the physiological data and the non-physiological data recorded during normal health condition of the patient using one of one or more sensors placed on the patient and one or more previous health reports of the patient.

8. The method as claimed in claim 1 further comprising providing suggestions to the patient based on the recovery score.

9. A computing unit for determining discharge condition of a patient, comprising:
at least one processor; and
a memory storing instructions executable by the at least one processor, wherein the instructions configure the at least one processor to:
receive at least one of one or more physiological data from plurality of sensors placed on the patient and one or more non-physiological data from a mobile device associated to the patient;
assign a first weighted ratio to each of the physiological data received from the plurality of sensors and the non-physiological data received from the mobile device to generate a weighted physiological data and a weighted non-physiological data;
generate a recovery score using the weighted physiological data and the weighted non-physiological data; and
determine the discharge readiness condition of the patient when the recovery score exceeds a reference recovery score, wherein the reference recovery score is generated using a weighted personal reference score of the patient and a weighted Electronic Medical Record (EMR) reference score.
10. The computing unit as claimed in claim 9, wherein the sensors are at least one of a motion sensor, emotion sensor, physiological sensor and activity sensor.

11. The computing unit as claimed in claim 9, wherein the instructions further configure the at least one processor to display the recovery score on a display unit associated to the computing unit.

12. The computing unit as claimed in claim 9, wherein the instructions further configure the at least one processor to determine the weighted EMR reference score by assigning a second weighted ratio to an EMR reference score.

13. The computing unit as claimed in claim 9, wherein the instructions further configure the at least one processor to determine the weighted personal reference score of the patient by assigning a third weighted ratio to each of the physiological data and the non-physiological data recorded during normal health condition of the patient using one of one or more sensors placed on the patient and one or more previous health reports of the patient.

14. The computing unit as claimed in claim 9, wherein the instructions further configure the at least one processor to provide suggestions to the patient based on the recovery score.

15. The computing unit as claimed in claim 9, wherein the physiological data is at least one of body temperature data, blood pressure data, activity data, electrocardiography (ECG) data and respiratory data and the one or more non-physiological data is at least one of medicine intake data, food intake data and discomfort level data.

16. A non-transitory computer readable medium including operations stored thereon that when processed by at least one processing unit cause a system to perform the acts of:
receiving at least one of one or more physiological data from plurality of sensors placed on the patient and one or more non-physiological data from a mobile device associated to the patient;
assigning a first weighted ratio to each of the physiological data received from the plurality of sensors and the one or more non-physiological data received from the mobile device to generate a weighted physiological data and a weighted non-physiological data;
generating a recovery score using the weighted physiological data and the weighted non-physiological data; and
determining the discharge readiness condition of the patient when the recovery score exceeds a reference recovery score, wherein the reference recovery score is generated using a weighted personal reference score of the patient and a weighted Electronic Medical Record (EMR) reference score.
Dated this 25th day of April, 2014
MADHUSUDAN S.T
OF K & S PARTNERS
AGENT FOR THE APPLICANT
,TagSPECI:TECHNICAL FIELD
The present disclosure relates to monitoring health condition of a patient. In particular, the present disclosure relates to a method of determining discharge readiness condition for a patient based on the health condition.