Abstract: Instruments of determined level of self-efficacy may be chosen dynamically for customized patient engagement, e.g., based on a patient's latent adherence trait estimated from lifestyle and other clinical data. Customization points in care plans may be identified, e.g., by monitoring an accumulative change in the patient's health literacy level. Clinical decision support at the point of care may be provided by adjusting patient engagement strategies and allocating resources accordingly.

Abstract: Instruments of determined level of self-efficacy may be chosen dynamically for customized patient engagement, e.g., based on a patient's latent adherence trait estimated from lifestyle and other clinical data. Customization points in care plans may be identified, e.g., by monitoring an accumulative change in the patient's health literacy level. Clinical decision support at the point of care may be provided by adjusting patient engagement strategies and allocating resources accordingly.

Abstract: A method and system for tracking eye recovery. The method includes: receiving eye data from an eyewear, wherein the eye data includes images acquired by an image capturing device in the eyewear; analyzing the eye data to determine an eye recovery status, wherein the analyzing is carried out by comparing the eye data to an initial set of eye conditions; and providing a notification of the eye recovery status.

Abstract: A method and system for tracking eye recovery. The method includes: receiving eye data from an eyewear, wherein the eye data includes images acquired by an image capturing device in the eyewear; analyzing the eye data to determine an eye recovery status, wherein the analyzing is carried out by comparing the eye data to an initial set of eye conditions; and providing a notification of the eye recovery status.

Abstract: A method and system for tracking eye recovery. The method includes: receiving eye data from an eyewear, wherein the eye data includes images acquired by an image capturing device in the eyewear; analyzing the eye data to determine an eye recovery status, wherein the analyzing is carried out by comparing the eye data to an initial set of eye conditions; and providing a notification of the eye recovery status.

Abstract: Instruments of determined level of self-efficacy may be chosen dynamically for customized patient engagement, e.g., based on a patient's latent adherence trait estimated from lifestyle and other clinical data. Customization points in care plans may be identified, e.g., by monitoring an accumulative change in the patient's health literacy level. Clinical decision support at the point of care may be provided by adjusting patient engagement strategies and allocating resources accordingly.

Abstract: Instruments of determined level of self-efficacy may be chosen dynamically for customized patient engagement, e.g., based on a patient's latent adherence trait estimated from lifestyle and other clinical data. Customization points in care plans may be identified, e.g., by monitoring an accumulative change in the patient's health literacy level. Clinical decision support at the point of care may be provided by adjusting patient engagement strategies and allocating resources accordingly.

Abstract: Methods and apparatus are provided for using monitoring intent to match business processes or monitoring templates. One or more business processes and monitoring templates are identified by obtaining at least one business process or monitoring template, wherein at least one of the obtained business process or monitoring template has an associated monitoring intent comprising one or more monitoring keywords; obtaining a user-specified monitoring intent from the user, the user-specified monitoring intent comprising one or more search keywords; assigning a score to at least one of the obtained business process or monitoring template, wherein the score is based on a matching of one or more of the monitoring keywords from the associated monitoring intent with the search keywords of the user-specified monitoring intent; and identifying the one or more of the plurality of business processes and the plurality of monitoring templates based on the assigned score.

Abstract: Techniques for generating and executing a performance-aware enterprise component (PAEC) are provided.

Abstract: A method, system, and/or computer program product automatically abstracts and selects an optimal set of variance-related features that are indicative of an individual outcome and personalized plan selection in health care. An abstracted set of candidate variance-related patient features, which comprise temporally heteroskedastic features, is generated. Each patient feature from the abstracted set of candidate variance-related patient features is optimized by identifying a time period in which variances and heteroskedasticity of each patient feature are maximized, where the optimizing creates an optimal abstracted set of variance-related patient features from the time period in which the variances and heteroskedasticity of each patient feature are maximized. The optimal abstracted set of variance-related patient features is then used for a current patient to predict a particular outcome and/or to create a personalized health care treatment plan.

Abstract: A method and system for tracking eye recovery. The method includes: receiving eye data from an eyewear, wherein the eye data includes images acquired by an image capturing device in the eyewear; analyzing the eye data to determine an eye recovery status, wherein the analyzing is carried out by comparing the eye data to an initial set of eye conditions; and providing a notification of the eye recovery status.

Abstract: A method, system and computer program for recommending reestablishment of discontinued productive habits. An example method includes recording behaviors over time in pursuit of an identified goal, measuring progress towards an identified goal over time, identifying one or more periods of time where positive progress toward the identified goal resulted, identifying one or more periods of time where negative progress toward an identified goal resulted, identifying, by an electronic computer processor, differences in the behaviors between the periods of time where the positive progress resulted and the periods of time where the negative progress resulted, and recommending behavior changes based on the identified differences of the behaviors.

Abstract: A method and a system for personal visualization of health conditions.

Abstract: A method of providing personalized compliance feedback includes detecting user movement data using at least one data sensor, parsing the detected user movement data into segments indicative of potential activity, wherein each segment comprises event motion data occurring during a corresponding time interval, identifying at least one recognized activity from the parsed user movement data, generating feedback based on the at least one recognized activity, and outputting the generated feedback.

Abstract: A method of providing personalized compliance feedback includes detecting user movement data using at least one data sensor, parsing the detected user movement data into segments indicative of potential activity, wherein each segment comprises event motion data occurring during a corresponding time interval, identifying at least one recognized activity from the parsed user movement data, generating feedback based on the at least one recognized activity, and outputting the generated feedback.

Abstract: A method for providing a health visualization model includes receiving user data comprising characteristics corresponding to a user, and adherence data comprising adherence history corresponding to the user, determining a relationship between an adherence level of the user and an expected health outcome based on the user data and the adherence data, generating the health vise alization model based on the determined relationship, and outputting the health visualization model.

Abstract: A method for providing a health visualization model includes receiving user data comprising characteristics corresponding to a user, and adherence data comprising adherence history corresponding to the user, determining a relationship between an adherence level of the user and an expected health outcome based on the user data and the adherence data, generating the health visualization model based on the determined relationship, and outputting the health visualization model.

Abstract: A method and system of teaming via a social network service for activity coaching include creating a stage model that comprises a first and second stages, wherein a value of a performing parameter for use in the first stage is less than a value of the performing parameter for use in the second stage; receiving initial activity data of users at social network service; determining users involved in the first stage according to initial activity data; teaming the users involved in the first stage; communicating to users via social network service the value of the performing parameter for use in the second stage; setting a team goal to achieve the value; waiting for feedback from the users; determining whether the team goal is achieved; moving the users in the same team to the second stage; and providing rewards to the users, if the determination is affirmative.

Abstract: Techniques for dispatching one or more services requests to one or more agents are provided. The techniques include obtaining one or more attributes of each service request, obtaining one or more attributes of each agent, obtaining feedback from each of one or more agent queues, and using the one or more attributes of each service request, the one or more attributes of each agent and the feedback from each of the one or more agent queues to determine one or more suitable agents to receive a dispatch for each of the one or more service requests. Techniques are also provided for generating a database of one or more attributes of one or more service requests and one or more attributes of one or more agents.

Abstract: Techniques for providing one or more user-centric wellness decision support services are provided. The techniques include providing an interface that facilitates selection of a risk assessment model of interest for a user and an action plan to trigger one or more follow-up action items, applying the selected model to assess the user's wellness risk level based on one or more user wellness records, and applying the selected action plan to trigger one or more relevant disease management and lifestyle interventions.