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EHRW 2015 - 2015 Electronic Health Record: implementation, data mining, security and user acceptance

Date2015-11-09 - 2015-11-12

Deadline2015-09-01

VenueWashington D.C, USA - United States USA - United States

Keywords

Websitehttps://www.ehu.eus/ccwintco/index.php?t...

Topics/Call fo Papers

The Electronic Health Record (EHR) is the basic object for introduction of innovation in the health care services and related industrial fields. It offers a great deal of opportunities for research and development, posing many questions about data ownership, security and privacy, and effective gains in efficiency and care quality. In this regard, the number of EHR related scientific works and publications has grown exponentially in the last couple of years, proving the impact that EHR implementation is having across the planet. It can be said that EHR empowers quality control and traceability of processes and clinical decisions so that healthcare systems become more controllable. This workshop aims to cover a variety of the central topics, such as those in the following (non-exhaustive) list:
System implementation for the filling, query and process of EHRs, including innovative interfaces with users (mobile, tactil, tablet) and medical devices.
Data mining algorithms over EHR collections,
Country specific issues related to EHR implementation, aceptance and use,
Available public domain EHR data for research
Open source solutions to EHR management and mining
Positive and negative impact of EHR implementation
User acceptance: physician, patients, general public, and bioengineering/pharmaceutical companies.
Security, privacy systems and issues. Country specific legal issues.
Text mining and natural language processing for automated analysis of EHR.
Studies performed on available (private/general public) EHR datasets
This workshop, to be held in conjunction with |IEEE BIBM 2015, aims to provide a forum to exchange ideas and discuss the latest research developments across broad aspects of EHR health impact assessment . The workshop welcomes high-quality papers (theoretical, empirical, or computational) from any aspect of EHR research, included the ones listed above.

Last modified: 2015-05-31 10:48:29