Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: An application offers personalized content, such as health care plans, health actions, and interactive games, to a user. Based on such health data provided by a user, the health management application may provide content, such as health information or health care plans, that is tailored to the current health status or condition of the user. In some instances, a user may request to participate in a particular health action or task. The health management application may recommend personalized tasks or actions for the user to complete to promote and improve health. Following partial or successful completion of a chosen health action, a user may earn points or rewards that may be redeemable for various prizes. A user may also earn points by completing an educational or informational task such as quizzes, questionnaires, or surveys. Points may also be earned by participating in or playing a game.

Abstract: An application offers personalized content, such as health care plans, health actions, and interactive games, to a user. Based on such health data provided by a user, the health management application may provide content, such as health information or health care plans, that is tailored to the current health status or condition of the user. In some instances, a user may request to participate in a particular health action or task. The health management application may recommend personalized tasks or actions for the user to complete to promote and improve health. Following partial or successful completion of a chosen health action, a user may earn points or rewards that may be redeemable for various prizes. A user may also earn points by completing an educational or informational task such as quizzes, questionnaires, or surveys. Points may also be earned by participating in or playing a game.

Abstract: A method for processing risk factors for a user is disclosed. The method may include receiving protocol data for creating a risk factor engine by an application stored and executed at a computing device. The risk factor engine may be stored in memory and executable by a processor to process a first set of stored user health data for a user. The protocol data may include a rule and one or more health attribute values. The rule and the one or more health attribute values may each include a computer programming expression editable by an administrator. The method may further include determining a user health score through execution of the risk factor engine by the processor and based on the user health data.

Abstract: Risk factor data can be processed by a risk factor coaching engine to determine health risk for a user. The risk factor coaching engine may be executed within a health coaching protocol to perform actions that provide a user with information, recommendations and alerts via other coaching engines, and appointments with health care professionals. The risk factor coaching engine may also predict attribute values for a user based on a time period and goals for user health data upon which the predicted attribute value is based.