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Progressive Personalization for Clinical Treatments Visualization Disclosure Number: IPCOM000243664D
Publication Date: 2015-Oct-08
Document File: 5 page(s) / 79K

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The Prior Art Database


Described is a method and system for progressive personalization for clinical treatments visualization.

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Progressive Personalization for Clinical Treatments Visualization

Disclosed is a method and system for progressive personalization for clinical treatments visualization. The system helps patients make complicated tradeoffs when selecting a treatment, and helps avoid the problem that a given treatment may be the right treatment at the wrong time. Making informed treatment decisions is a complicated process. In this process, a physician needs to consider multiple treatments' attributes, given each patient's medical record as a precondition. This is an ill-defined problem, which means there are no defined solutions. A physician needs to evaluate many possible solutions with his/her pre-knowledge and on-site judgment. However, with the innovation of evidence-based treatment recommending systems, physicians are able to input patients' records, and gather more and more subjective evidence-based treatment information in a shorter time. This innovation brings in new challenges for clinical decisions. A good clinical decision should be jointly decided by both the physician and the patient. With large information available in a shorter time, it is hard for physicians to deliver the interpretations and for patients to understand the outcomes associated with treatment options. Evaluating treatments is harder, given this point. Thus, modern health care innovations have been increasing their focus on simplifying this decision-making process through visualization.

    Meanwhile, many efforts have been devoted into making clinical decisions a personalized experience. The concept of personalization is important, because patients want to minimize the changes and inconvenience introduced to their lives. Patients prefer treatments that fit into a patient's current lifestyle and have more predictable outcomes. Thus, a system that helps patients compare treatments in a personalized manner is important to patients, and brings value to physicians and the health care industry. The disclosed system uses progressive personalization to depict clinical treatments and to facilitate patient's and physician's joint decision making. The system includes: a database that stores patient preferences and life events in a progressing timespan, correlates side effects to life events, utilizes visualizations to display information and selections in a form that incorporates time-line components and supports time-specified adjustment, an interactive framework to dynamically change the time parameter associated with the visualization. Depending on the characteristics of the life event across the projected regimen cycle, the most relevant or critical treatment details are contrasted to provide enough information for the joint decision making. The visualization includes adaptation and progressive comparison of preferences across a regimen cycle and a correlation of life event impacts based on incidence, tolerance, and associations of adverse effects. The system provides a timeli...