Risk Assessment for Suicide and Treatment Based on Interaction with Virtual Clinician, Food Intake Tracking, and/or Satiety Determination

An apparatus, comprising:

• at least one processor;
• and
• a non-transitory computer readable medium communicatively coupled to the at least one processor, the non-transitory computer readable medium having stored thereon computer software comprising a set of instructions that, when executed by the at least one processor, causes the apparatus to:
• generate a virtual clinician capable of simulating facial expressions and body expressions;
• cause the generated virtual clinician to interact with a patient;
• analyze the interactions between the virtual clinician and the patient to determine likelihood of risk of suicide by the patient;
• and
• based on a determination that a likelihood of risk of suicide by the patient exceeds a first predetermined threshold value, send an alert message to one or more healthcare professionals regarding the likelihood of risk of suicide by the patient.

A system, comprising:

• a computing system, comprising:
• at least one first processor;
• and
• a first non-transitory computer readable medium communicatively coupled to the at least one first processor, the first non-transitory computer readable medium having stored thereon computer software comprising a first set of instructions that, when executed by the at least one first processor, causes the computing system to:
• generate a virtual clinician capable of simulating facial expressions and body expressions;
• cause the generated virtual clinician to interact with a patient;
• analyze the interactions between the virtual clinician and the patient to determine likelihood of risk of suicide by the patient;
• and
• based on a determination that a likelihood of risk of suicide by the patient exceeds a first predetermined threshold value, send an alert message to one or more healthcare professionals regarding the likelihood of risk of suicide by the patient.

A method, comprising:

• receiving, with a computing system, food intake and satiety data associated with the patient;
• analyzing, with the computing system, the food intake and satiety data associated with the patient to determine likelihood of risk of suicide by the patient;
• and
• based on a determination that a likelihood of risk of suicide by the patient exceeds a first predetermined threshold value, sending, with the computing system, an alert message to one or more healthcare professionals regarding the likelihood of risk of suicide by the patient.

A system, comprising:

• a scale that is used to measure weight of food on a food container during meals consumed by the patient, where the food is consumed out of the food container during the meals;
• and
• a user device associated with the user, and communicatively coupled to the scale, the user device comprising:
• at least one first processor;
• and
• a first non-transitory computer readable medium communicatively coupled to the at least one first processor, the first non-transitory computer readable medium having stored thereon computer software comprising a first set of instructions that, when executed by the at least one first processor, causes the user device to:
• receive food intake data associated with the patient from the scale, wherein the food intake and satiety data comprising at least one of information regarding amount of food consumed per meal, information regarding changes in amount of food consumed per meal, information regarding rate of food consumption, information regarding changes in rate of food consumption, information regarding eating patterns related to rate of food consumption, information regarding normal meal consumption characteristics for the patient, information regarding amount of deviation from normal meal consumption characteristics for the patient, or information regarding occurrence of any displaced behaviors during a meal;
• prompt the patient to enter self-reported feelings of satiety from the patient during meals and receive satiety data from the patient;
• and
• send food intake and satiety data associated with the patient to a computing system;
• the computing system, comprising:
• at least one second processor;
• and
• a second non-transitory computer readable medium communicatively coupled to the at least one second processor, the second non-transitory computer readable medium having stored thereon computer software comprising a second set of instructions that, when executed by the at least one second processor, causes the computing system to:
• receive the food intake and satiety data associated with the patient;
• analyze the food intake and satiety data associated with the patient to determine likelihood of risk of suicide by the patient;
• and
• based on a determination that a likelihood of risk of suicide by the patient exceeds a first predetermined threshold value, send an alert message to one or more healthcare professionals regarding the likelihood of risk of suicide by the patient.

A method, comprising:

• generating, with a computing system, a virtual clinician capable of simulating facial expressions and body expressions;
• causing, with the computing system and using a display device and an audio output device, the generated virtual clinician to interact with a patient, via at least one of participating in a conversation with the patient, asking the patient one or more questions, or answering one or more questions posed by the patient, wherein interactions between the virtual clinician and the patient are based at least in part on one or more of words, verbal expressions, statements, sentences, sentence responses, questions, or answers that are stored in a database;
• recording, with the computing system and to a datastore, interactions between the virtual clinician and the patient;
• prompting the patient, with the computing system and using the display device viewable by the patient and the audio output device, to select a facial expression among a range of facial expressions that represents current emotions of the patient;
• receiving, with the computing system, a first response from the patient, the first response comprising a selection of a facial expression that represents current emotions of the patient;
• prompting the patient, with the computing system and using the display device viewable by the patient and the audio output device, to select a body posture among a range of body postures that represents current emotions of the patient;
• receiving, with the computing system, a second response from the patient, the second response comprising a selection of a body posture that represents current emotions of the patient;
• prompting the patient, with the computing system and using the display device viewable by the patient and the audio output device, to select a statement regarding zest for life among a range of statements regarding zest for life that represents current thoughts of the patient regarding life and death;
• receiving, with the computing system, a third response from the patient, the third response comprising a selection of a statement regarding zest for life that represents current thoughts of the patient regarding life and death;
• receiving, with the computing system, food intake and satiety data associated with the patient, the food intake and satiety data comprising at least one of information regarding amount of food consumed per meal, information regarding changes in amount of food consumed per meal, information regarding rate of food consumption, information regarding changes in rate of food consumption, information regarding eating patterns related to rate of food consumption, information regarding normal meal consumption characteristics for the patient, information regarding amount of deviation from normal meal consumption characteristics for the patient, information regarding occurrence of any displaced behaviors during a meal, or information regarding self-reported feelings of satiety from the patient corresponding to individual meals;
• analyzing, with the computing system, at least one of the recorded interactions between the virtual clinician and the patient, the received first response, the received second response, the received third response, or the received food intake and satiety data associated with the patient, to determine likelihood of risk of suicide by the patient;
• based on a determination that a likelihood of risk of suicide by the patient exceeds a first predetermined threshold value, sending, with the computing system, a message to one or more healthcare professionals regarding the likelihood of risk of suicide by the patient;
• and
• based on a determination that a likelihood of risk of suicide by the patient is below the first predetermined threshold value but exceeds a second predetermined threshold value, sending, with the computing system, suggestions to the patient to change eating behavior of the patient toward at least one of eating rates, food amounts, and mealtime durations that correspond to levels designed to stimulate physiological responses that evoke positive feelings for the patient.