Personalization or individualization of care is essential to the behavioral modifications and lifestyle changes that result in patient wellness (for good health or chronic disease management). The implementation of effective personalized care is hampered by the lack of reliable means to collect and process real-time data on individual contexts (preferences, constraints) and on adherence to care protocols and mechanisms to provide timely, customized cognitive coaching that is structured, consistent and informative to users.
The advent of personal embedded biosensors is creating an accumulation of patient-generated data from numerous “touch points” (data interfaces and exchanges between patient and healthcare services before, during and after traditional clinical encounters). A major technical challenge is the establishment of a patient-centered infrastructure that can:
- Provide the customized, timely, evidence/knowledge-driven messaging based on data from multiple touch points for continuous feedback to individual patients
Support this functionality within an information infrastructure of multiple service providers to provide access to unified views of patients’ data across touch points and time for multiple users (patients, providers, administrators, researchers)
We propose the implementation of a cloud-based platform to support the analytics and other services to implement this infrastructure. From an IT perspective, we explore
- Modeling of patient contexts (preferences, behaviors) within a risk-based framework
Calibration of individualized, evidence-based recommendations based on patient-generated data
Deployment of analytics functionalities within the platform model
By: Pei-Yun Sabrina Hsueh, Henry Chang, Sreeram Ramakrishnan
Published in: RC25540 in 2015
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .