BDAH 2014 - 2nd International Conference on Big Data and Analytics in Healthcare

2nd International Conference on Big Data and Analytics in Healthcare, July 22-24, Singapore
Conference website: http://www.bdah.org
PROGRAM INVITATION
Big data analytics is already making large impacts in finance, manufacturing, retail, and social networks. Healthcare, too, is beginning to experience a data tsunami due to the rapid adoption of information systems generating huge volumes of primary and secondary data. To stay competitive and effective, healthcare organizations should prepare to brace themselves for the oncoming data deluge.
The International Conference on Big Data and Analytics in Healthcare (BDAH 2014) provides a leading forum for researchers, healthcare administrators, care-providers, and policy makers to disseminate and share cutting-edge research and practice and gain insights into the challenges, opportunities, novel strategies, and analytic tools and techniques for dealing with big data in healthcare.
IMPORTANT DATES
Submissions Open: Tuesday, October 8, 2013
Workshop Proposal Submission Deadline: January 31, 2014 (11:59 PM Singapore time)
Paper Submission Deadline: February 14, 2014 (11:59 PM Singapore time)
Notification to authors: Monday, April 14, 2014
Early Registration ends: Monday, June 2, 2014
CONFERENCE CO-CHAIRS
Hock-Hai Teo, National University of Singapore
Danny Poo, National University of Singapore
ADVISORY PANEL
K.C. Lun, National University of Singapore
Bill Hersh, Oregon Health & Science University
David Rosenblum, National University of Singapore
Ritu Agarwal, University of Maryland
PROGRAM CO-CHAIRS
Atreyi Kankanhalli, National University of Singapore
Jungpil Hahn, National University of Singapore
Sharon Tan, National University of Singapore
Gordan Gao, University of Maryland
LOCAL ARRANGEMENTS & PUBLICITY
Khim-Yong Goh, National University of Singapore
Cheng-Suang Heng, National University of Singapore
Ke-Wei Huang, National University of Singapore
Tuan-Quang Phan, National University of Singapore
SUBMISSION TYPES
The BDAH 2014 Program Committee invites submissions of completed papers, poster papers, abstract presentations, and pre-conference workshop proposals that advance knowledge of healthcare data analytics. More details about the submission types and formats can be found at the conference website (http://www.bdah.org/submissions.html). Submissions will be accepted through EasyChair (https://www.easychair.org/?conf=bdah2014).
Completed papers are full-length papers of completed research or practice projects. Accepted completed papers will be presented at BDAH 2014 and published in the BDAH 2014 proceedings. See list below for potential topics of interest.
Poster papers are the preferred format for presenting preliminary results or results of small scale studies, illustrating and discussing innovative systems and services, describing experimental and in-practice projects and programs, reporting experiences with educational programs, and other dimensions of healthcare data analytics. Accepted papers will be presented as posters at BDAH 2014 and published in the BDAH 2014 proceedings. See list below for potential topics of interest.
Abstract papers format allows for the presentation of research or practice for which the author wishes to reserve publication rights for future consideration. Accepted abstract papers will be presented at BDAH 2014 but only the abstract will be published in the proceedings. See list below for potential topics of interest.
Pre-conference Workshop Proposal Half-day and full-day workshops are dedicated to special topics that are of interest to the conference audience. Half-day workshops include three hours of instruction; full-day workshops include six hours of instruction. The conference seeks a balance between workshops that address essential theory and principles, with those that address practical applications, current issues, and emerging trends and developments. All instructors should be available to conduct their workshop on Tuesday July 22.
SAMPLE TOPICS
We welcome empirical, technical, conceptual, or practice papers in relevant areas including but not limited to the following topics:
Techniques for Big Data Analytics in Healthcare
* Knowledge discovery (e.g., text/data mining) by integrating data across care settings and EHR applications (e.g., results review, medication administration, disease progression, and image management)
* Developing and refining EHR data standards to improve analytical insights
* Visualization of big health/healthcare data for sense-making and prediction
* Assuring information system security and personal privacy
* Identifying, representing, and modeling biological structures
* Statistical analyses of large health/healthcare datasets
* Predictive analytics for identifying health risks
* Deriving data insights from mobile health, web 2.0, social media (e.g., online health communities) and wearable computing technologies
* Linking biomedical knowledge from diverse primary sources (e.g., automated indexing, classification)
* Empirical research involving big data and/or data analytics
Applications of Big Data Analytics in Healthcare
* Health services perspectives
* Data-driven optimal planning and scheduling
* Using analytics to improve healthcare outcomes (patient safety, medical error reduction etc.)
* Developing data-driven systems that better support patient-provider interaction
* Improving healthcare workflow and process efficiency
* Supporting practice at a distance (telehealth)
* Clinical perspectives
* Bioinformatics
* Personalized medicine
* Developing systems to support and improve diagnostic accuracy
* Clinical decision support systems
* Providing just-in-time access to the biomedical literature & other health information
* Translational research integration ? integrating biological knowledge to clinical care
* Public health perspectives
* Improving government and community policy relevant to health quality
* Detecting disease outbreaks & biological threats
* Monitoring and managing population health
* Delivering health information and knowledge to the public
* Consumer health perspectives
* Personal health records
* Self-care systems
* Social media
* Internet health
PROGRAM COMMITTEE
Abhay Mishra, Georgia State University
Alex Cook, National University of Singapore
Andrew Burton Jones, University of Queensland
Angsana Techatassanasoontorn, Auckland University of Technology
Bee-Hoon Heng, National Healthcare Group
Cath Oh, Georgia State University
Catherine Tucker, Massachusetts Institute of Technology
Christopher Harle, University of Florida
Chuen-Seng Tan, National University of Singapore
Corey Angst, University of Notre Dame
Dan Wu, Khoo Teck Phuat Hospital
Doug McNair, Cerner Math
Ela Klecun, London School of Economics
Indranil Bardhan, University of Texas Dallas
Jie-Mein Goh, IE Business School
Jin Xin, National University Hospital
Juhee Kwon, City University of Hong Kong
Kiok-Liang Teow, National Healthcare Group
Michelle Cheong, Singapore Management University
Rajiv Kohli, College of William & Mary
Rema Padman, Carnegie Mellon University
Seung-Hyun Kim, National University of Singapore
Sundaram Suresh, Nanyang Technological University
Tuan-Quang Phan, National University of Singapore
Tze-Yun Leong, National University of Singapore
Wai-Leng Chow, Eastern Alliance
Wynne Hsu, National University of Singapore
Yanika Kowitlawakul, National University of Singapore
Yin-Leng Theng, Nanyang Technological University
Yu Tong, City University of Hong Kong