Call for papers:

Special Issue on Patient-centered Personalized eHealth

User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI)

Extended abstract submission deadline: February 15, 2016

Paper submission deadline (for accepted abstracts): April 15, 2016

Special Issue Web site:  http://mis.hevra.haifa.ac.il/~morpeleg/umuai_personalized_eHealth.html

UMUAI Web site: http://www.umuai.org/

 

Scope of the Special Issue 

In recent years, patients want to be more involved in their health care. Clinicians acknowledge that involved and empowered patients take more responsibility for their health, which leads to better outcomes. With the advance of ICT, telemonitoring and decision support systems are now being targeted not only at care providers but also at patients.

While patients want to be more involved, they do not have the required medical knowledge. On the other hand, physicians have the knowledge, but not the time to adapt that knowledge to all their patients. Traditional clinical decision-support systems (DSS) are aimed at supporting healthcare professionals treat patients by matching clinical knowledge to data of concrete patients, in order to provide patient-specific recommendations to the health care professionals. The clinical knowledge of these traditional systems addresses the clinical condition of the patient but is rarely personalized to the non-clinical considerations of patients (e.g., level of family support, patient autonomy, level of education of the patient).  Recently, patient-centered clinical decision support systems have emerged, which envision an alternative scenario in which patients can become users of these systems in addition to care professional. The advice delivered to patients is different from the advice targeted toward physicians. While physicians need to receive support for choosing among treatment alternatives, patients need to receive reminders for performing measurements (e.g., of blood pressure), exercising, and taking medications in accordance to the medical requirements. These recommendations need to be personalized to patientsí preferences, such as their normal meal schedule, their level of education, etc. This user-patient duality implies that patient-centered DSSs have to deal with user (patient) modeling in order to personalize the care needs of the concrete patient-users. These systems relate to the patientís clinical parameters but also to patient preferences, psycho-social considerations, functioning and disabilities, or co-morbidities that are particular to each specific patient in order to provide a complete and personalized treatment.

In this special issue we will be focusing on Patient-centered clinical decision support systems and ubiquitous technologies that define user models supporting patient personalization.

 

Topics

 Topics could include but are not limited to the following topics:

∑       Personalized knowledge-based eHealth

∑       Health behavior theories and personalization

∑       Personalized training, coaching and education eHealth applications

∑       Personalized health communication between patients and care providers

∑       Patient model/ patient modeling

∑       Using data analysis technologies (machine learning, data mining, big data, semantic data, data science, etc.) to build personalized patient-centric models and predictive systems

∑       Ubiquitous and personalized eHealth Information Systems

∑       Patient-tailored decision-support

∑       Patient-centered systems (e.g., self-management)

∑       Managing continuity of care for patients spanning different organizations or care teams within an organization

Papers for this special issue should not target personalized medicine in terms of genetics/genomics. While telemonitoring could be an important aspect of personalized eHealth systems, papers need to have a focus on modeling patients/treatments using either knowledge-engineering or data analysis technologies.

Paper submission and reviewing process 

The prospective authors must first submit an extended abstract of no more than 4 single-spaced pages, formatted with 12-pt font and 1-inch margins, through easychair:

https://easychair.org/conferences/?conf=umuai-ehealth-16

by February 15, 2016. This abstract should be preceded by a completed UMUAI self-assessment form that can be found at http://www.umuai.org/self-assessment.html, preferably both in a single PDF file.

All submitted abstracts will receive an initial screening by the editors of the special issue. The authors of the abstracts will be notified about the results of the initial screening by February 25, 2016. Abstracts that do not pass this initial screening (i.e., the abstracts that are deemed not to have a reasonable chance of acceptance) will not be considered further.

Authors of abstracts that pass the initial screening will be invited to submit the full version of the paper by April 15, 2016. The formatting guidelines and submission instructions for full papers can be found at http://www.umuai.org/paper_submission.html. Papers should not exceed 40 pages in journal format. Each paper submission should note that it is intended for the Special Issue on Patient Centered Personalized eHealth and be submitted via email to the address mentioned in the submission instructions given above (submission@umuai.org). Full version papers will follow a second review process that will conclude with a final notification of acceptance or rejection.

 

The tentative timeline for the special issue is as follows:

February 15, 2016: Submission of extended abstracts (4 pages)

February 25, 2016: Notification regarding abstracts

April 15, 2016: Submission of full papers

July 1, 2016: First round review notifications

October 1, 2016: Revised papers due

November 7, 2016: Final notifications due

December 7, 2016: Camera-ready papers due

January 1, 2017: Publication of special issue Guest editors:

 

Guest editors: 

Mor Peleg, University of Haifa, Israel                  http://mis.hevra.haifa.ac.il/~morpeleg/           morpeleg@is.haifa.ac.il

Tsvi Kuflik, University of Haifa, Israel                  http://sites.hevra.haifa.ac.il/tsvikak/               tsvikak@is.haifa.ac.il

David Riano, Universitat Rovira i Virgili, Spain  †††† http://banzai-deim.urv.net/~riano                 david.riano@urv.net