International Business Machines Corporation

Sreeram Ramakrishnan

Pei-Yun S Hsueh

Xinxin Zhu

Hung-Yang Chang

Lih-Guong Jang

Yi-Chang Molly Wang

Nien-Chu Wu

Tian J Chao

Vincent Y Deng

Joe Lu

Florian Pinel

Shao Chun Li

Zon-Yin Shae

Hani Talal Jamjoom

Pankaj Dhoolia

Milton H Hernandez

Nikolaos Anerousis

Debanjan Saha

Aliza Rivka Heching

Santhosh Babu Kumaran

Abhijit Bose

Fenno F Heath, Iii

Hoda Parvin

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.

Dynamic and accretive composition of patient engagement instruments for personalized plan generation

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.

Tracking eye recovery

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. The business processes and monitoring templates each have a plurality of keywords and a weighted score is optionally assigned to each of the plurality of keywords. The assigned score is based, for example, on a weighted score of matching keywords. A ranked list is optionally generated.

Method and apparatus for using monitoring intent to match business processes or monitoring templates

Techniques for generating and executing a performance-aware enterprise component (PAEC) are provided. The techniques include creating a performance-aware enterprise component definition, wherein an enterprise component is a component with defined behavior and data models that represent an enterprise capability and provide a service to a client through a defined interface, and wherein the definition comprises an extensible markup language file comprising process component lifecycle information, one or more data items to be used in the component lifecycle, and one or more performance metrics, and executing the performance-aware enterprise component, wherein executing the performance-aware enterprise component comprises reading the performance-aware enterprise component definition and one or more relationships with the one or more data items, and operating the component lifecycle, wherein operating the component lifecycle comprises using the one or more performance metrics within the component lifecycle to enable one or more localized changes to be made within the enterprise component.

Performance-aware enterprise components

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.

Method for dispatching service requests

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Yorktown Heights, NY, United States of America

Sreeram Ramakrishnan