# US 2014/0195255 A1 · System And Method For Assessment Of Patient Health Using Patient Generated Data

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- Number: US 2014/0195255 A1
- Document ID: US20140195255A1
- Status: Published application
- Kind: A1
- Application number: 13/736,732
- Filed: 2013-01-08
- Published: 2014-07-10
- Earliest claimed: 2013-01-08
- Assignees: Robert Bosch GmbH; Robert Bosch Healthcare Systems, Inc.
- Applicants: Robert Bosch Healthcare Systems Inc.; Robert Bosch GmbH
- Inventors: Rajib Ghosh; Henning Hayn
- Web page: https://patentgrep.com/patent/US20140195255A1

## CPC

- G16H 80/00: ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
- G16H 20/60: relating to nutrition control, e.g. diets
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A method for evaluating a patient in telehealth treatment includes receiving non-medical data corresponding to a patient from a social network service through a data network, identifying a health characteristic of the patient in the non-medical data, generating a message including health advice associated with the identified health characteristic of the patient, and sending the message to an electronic device associated with the patient through the data network.

## Claims

### Claim 1

A method for assessment of a patient comprising:
receiving with a processor communicatively connected to a data network non-medical data corresponding to a patient from a social network service that is connected to the data network;
identifying with the processor a health characteristic of the patient in the non-medical data received from the social network service;
generating with the processor a message including health advice associated with the identified health characteristic of the patient; and
sending with the processor the message to an electronic device associated with the patient through the data network.

### Claim 2 (depends on 1)

The method of claim 1, the identification of the health characteristic further comprising:
identifying with the processor a location of the patient in the non-medical data received from the social network service.

### Claim 3 (depends on 2)

The method of claim 2, the generation of the message further comprising:
generating the message with health advice that includes a recommendation for a menu item to order in response to the identified location being a restaurant.

### Claim 4 (depends on 2)

The method of claim 2, the generation of the message further comprising:
generating the message with health advice that includes an alert that a restaurant does not serve food that complies with a diet for the patient in response to the identified location being the restaurant.

### Claim 5 (depends on 2)

The method of claim 2, the generation of the message further comprising:
generating the message with health advice that includes a location of a healthcare facility that is within a first predetermined distance of the location of the patient in response to the identified location of the patient being greater than a second predetermined distance from a predetermined location of a home of the patient.

### Claim 6 (depends on 1)

The method of claim 1, the identification of the health characteristic further comprising:
identifying with the processor an activity of the patient in the non-medical data received from the social network service.

### Claim 7 (depends on 6)

The method of claim 6, the generation of the message further comprising:
generating the message with health advice that includes a recommendation for performing the activity in a manner that complies with a diagnosed medical condition for the patient.

### Claim 8 (depends on 1)

The method of claim 1, the identification of the health characteristic further comprising:
identifying with the processor a mental state of the patient in the non-medical data received from the social network service.

### Claim 9 (depends on 8)

The method of claim 8, the identification of the mental state further comprising:
identifying with the processor a plurality of emoticons included in a plurality of postings made on the social network service by the patient; and
identifying the mental state of the patient with reference to identified emotional states that are associated with the plurality of emoticons.

### Claim 10 (depends on 8)

The method of claim 8, the identification of the mental state further comprising:
performing with the processor a sentiment analysis operation on the non-medical data received from the social network with reference to text data in a plurality of postings made on the social network service by the patient; and
identifying the mental state of the patient with reference to an average sentiment identified from the analysis of the text of the plurality of postings.

### Claim 11 (depends on 8)

The method of claim 8 further comprising:
generating with the processor an alert message in response to identifying a deterioration in the mental state of the patient; and
sending with the processor an alert message through the data network to an electronic device associated with a mental health professional who is treating the patient.

### Claim 12

A system for assessment of a patient comprising:
a memory configured to store:
account credentials for an account on a social network service that is associated with another account used by the patient on the social network service;
medical record data corresponding to the patient including data corresponding to at least one diagnosed medical condition for the patient; and
address information identifying at least one of an account associated with the patient in the social network and an address identifier for an electronic device associated with the patient; and
a processor operatively connected to the memory and to a data network, the processor being configured to:
access the social network service through the data network with the account credentials stored in the memory to receive non-medical data corresponding to the account associated with the patient from the social network service;
identify a health characteristic of the patient in the non-medical data received from the social network service;
retrieve one of the plurality of health advice messages from the memory;
generate a message that includes health advice retrieved from the associated with the identified health characteristic of the patient; and
send the message to an electronic device corresponding to the address information in the memory through the data network.

### Claim 13 (depends on 12)

The system of claim 12, the processor being further configured to:
send the message to the account associated with the patient on the social network service.

### Claim 14 (depends on 12)

The system of claim 12, the processor being further configured to:
send the message to a network address associated with a mobile electronic device associated with the patient.

### Claim 15 (depends on 12)

The system of claim 12, the processor being further configured to:
identify the health characteristic of the patient as a location of the patient in the non-medical data received from the social network service.

### Claim 16 (depends on 15)

The system of claim 15, the processor being further configured to:
identify that the location of the patient corresponds to a restaurant;
retrieve a menu of the restaurant from an online service provider through the data network;
identify an item in the menu with a nutrition content that is recommended for consumption by the patient with reference to the medical record data in the memory;
generate the message with health advice including a recommendation for a menu item to order in response to the identified location being a restaurant.

### Claim 17 (depends on 15)

The system of claim 15, the processor being further configured to:
identify that the location of the patient corresponds to a restaurant;
retrieve a menu of the restaurant from an online service provider through the data network;
identify that the menu includes no items that are recommended for consumption by the patient with reference to the medical record data in the memory;
generate the message with health advice including an alert that the restaurant does not serve food that complies with a diet for the patient.

### Claim 18 (depends on 15)

The system of claim 15, the processor being further configured to:
identify that the location of the patient is greater than a first predetermined distance from a predetermined location of a home of the patient;
identify a location of a healthcare facility that provides services for treatment of the at least one diagnosed condition for the patient, the healthcare facility being within a second predetermined distance from the location of the patient; and
generate the message with health advice including the location of the healthcare facility.

### Claim 19 (depends on 12)

The system of claim 12, the processor being further configured to:
identify the health characteristic of the patient as an activity of the patient in the non-medical data received from the social network service.

### Claim 20 (depends on 19)

The system of claim 19, the processor being further configured to:
generate the message with health advice including a recommendation for performing the activity in a manner that complies with the diagnosed medical condition for the patient with reference to the medical record data in the memory.

### Claim 21 (depends on 12)

The system of claim 12, the processor being further configured to:
identify the health characteristic of the patient as a mental state of the patient in the non-medical data received from the social network service.

### Claim 22 (depends on 21)

The system of claim 21, the processor being further configured to:
identify a plurality of emoticons included in a plurality of postings made on the social network service by the patient; and
identify the mental state of the patient with reference to a plurality of emotional states that are associated with the plurality of emoticons.

### Claim 23 (depends on 21)

The system of claim 21, the processor being further configured to:
perform a sentiment analysis operation on the non-medical data received from the social network including text data in a plurality of postings made on the social network service by the patient; and
identify the mental state of the patient with reference to an average sentiment identified in the text of the plurality of postings

### Claim 24 (depends on 23)

The system method of claim 23, the processor being further configured to:
generate an alert message in response to identifying a deterioration in the mental state of the patient; and
send the alert message to an electronic device associated with a mental health professional who is treating the patient.