EHR Workshop 2015
Electronic Health Record: implementation, data mining, security and user acceptance, EHRW2015
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.
- Deadlines
- Paper submission: September 1, 2015
- Paper acceptance: September 18, 2015
- Camera ready paper: October 2, 2015
- BIBM Conference: November 9-12, 2015
- Workshop date: to be decided
- Workshop chairs
- Manuel Graña, University of the Basque Country UPV/EHU (Spain) and Wroclaw University of Technology WrUT (Poland): manuel.grana@ehu.eus
- Michal Wozniak, Wroclaw University of Technology WrUT (Poland) (Poland) michal.wozniak@pwr.edu.pl
- Konrad Jackowski, Wroclaw University of Technology WrUT (Poland) konrad.jackowski@pwr.edu.pl
- Program committee ... (in progress)
- Tomasz Andrysiak - UTP University of Science and Technology, Poland (computer security, anomaly detection)
- Arshdeep Bahga, Georgia Institute of Technology, US (cloud implementation)
- Ofir Ben-Assuli, Ono Academic College, Israel (EHR in ED)
- Srinidhi Boray, USA, (invited, interest in IT)
- Andrej (Andy) Brodnik, Univ. of Ljubljana, Slovenia (pervasive computing, security)
- Robert Michael Cronin, Vanderbilt University, USA (patient engagement, patient portals)
- Boguslaw Cyganek, Wroclaw University of Technology, Poland
- Sudeb Das, Indian Statistical Institute, India (security, watermarking)
- Massimo Esposito, National Research Council of Italy – Institute for High Performance Computing and Networking (ICAR), Italy
- Pieter Van Gorp, Netherlands, (PHR app open platform)
- Aris Gkoulalas-Divanis, IBM Research - Ireland (privacy)
- Daniela Haluza, Austria (public health)
- David Hanauer, University of Michigan, US (data mining, de-identification)
- Xinyi Huang, Australia,
- Pi-Jung Hsieh, Chia Nan University of Pharmacy & Science
- Guang Jia, Louisiana State University, US
- Georgios Kalogridis, Toshiba Research Europe Limited,
- Michael Lesk, Rutgers University, US
- Jingquan Li, Texas A&M University, USA (tentative)
- Jianqiang Li, Beijing University of Technology, China (implementations)
- John Liagouris, ETH Zürich, Switzerland (privacy)
- Chang Liu, Digital Productivity Flagship, CSIRO, Australia (big data, cloud implementation)
- Lian Liu, University of Kentucky (privacy, data mining)
- Grigorios Loukides, Cardiff University, UK (privacy)
- José Manuel Machado, University of Minho, Portugal
- Allison B. McCoy, Tulane University, School of Public Health and Tropical Medicine, (information processing)
- Margreet B. Michel-Verkerke, Netherlands, (health policy)
- Laurie Novak, Vanderbilt University, USA (system development)
- Toan Ong, University of Colorado, USA (missing data in EHR)
- Dr. Giuseppe De Pietro, Head of High Performance and Networking Institute, ICAR CNR, Italy
- Nada Philip, Kingston University, UK, (implementation)
- Piotr Porwik - Silesian University, Poland (medical informatics, security, biometrics)
- Eider Sanchez, Vicomtech, Spain
- Alexandre J. T. Santos, University of Minho, Portugal
- Björn Schreiweis, University of Heidelberg, Germany
- Barry Robson, US/UK/Cayman islands, (would help in bioinformatics, proteomics, Q-UEL)
- S. Trent Rosenbloom, Vanderbilt University, US
- Carlos Toro, Vicomtech, Spain
- Truyen Tran, Deakin University, Australia
- Denis Trček, Univ. of Ljubljana, Slovenia (pervasive computing, security)
- Philipp Urbauer, University of Applied Sciences Technikum Wien, AUSTRIA (elearning4ehealth)
- Colin Walsh, Vanderbilt University Medical Center, US
- Huaqun Wang, Dalian Ocean University, China, (cloud secure retrieval)
- Adam Wright, Brigham and Women's Hospital, US (data mining, decision support)
- Chao-Tung Yang, Tunghai University, Taiwan R.O.C. (cloud implementation)
