Big Data 2013 Call For Abstracts - Health Informatics Society of Australia

CALL FOR ABSTRACTS

With the primary theme of "Big Data: addressing the challenges of the data deluge in health", Big Data 2013 will focus on research, industry, government and clinical practice, introducing clinicians, healthcare executives and managers both clinical and non-clinical, data and information professionals, health and bio informaticians, health policy makers, and academics to the exploding world of Big Data.

Big Data 2013 has two categories of submission:

1. Scientific Abstracts 2. Industry/Clinical Case Study Abstracts

Topics

Authors are encouraged to submit under the following Big Data 2013 topics and health informatics speciality areas:

1. Sources of big data (generation and collection)
- 1.1. Sensors and self-monitoring
- 1.2. Genomics, proteomics, metabolomics
- 1.3. Epigenomics
- 1.4. Biomedical images
- 1.5. Clinical data, electronic health records
- 1.6. Pharmacy data
- 1.7. Social media in healthcare
- 1.8. Environmental data

2. Methods and technologies to process big data
- 2.1. Broadband technologies and networks
- 2.2. Cloud-based solutions
- 2.3. Ontologies and meta-data
- 2.4. Algorithms and programming for big data
- 2.5. Image processing
- 2.6. Streaming data processing
- 2.7. Database solutions for big data
- 2.8. Data linkage and integration
- 2.9. Text mining, NLP
- 2.10. Data mining
- 2.11. Visualisation

3. Applications resulting from big data approaches
- 3.1. Clinical trials
- 3.2. Personalised and molecular medicine
- 3.3. Patient-centred care
- 3.4. Healthcare re-design
- 3.5. Improved quality and safety of care
- 3.6. Translational biomedical research
- 3.7. Population health
- 3.8. Clinical decision support
- 3.9. Pharmaceutical R&D

4. Challenges of big data
- 4.1. Big data governance
- 4.2. Privacy and security
- 4.3. Ownership and sharing. Open data solutions.
- 4.4. Education and training
- 4.5. Usability issues

Susan Harrison Chair, Big Data 2013 Program	Professor Fernando Martin-Sanchez Chair, Big Data 2013 Scientific Program
Dr William Rose Chair, Big Data 2013 Industry/Clincal Program	Mr David Wrede Chair, Big Data 2013 Industry/Clinical Program

Scientific Abstracts (long abstract, 2 pages, 1000 words):

Scientific submissions require a long abstract (1000 words) and should address research areas of contemporary interest aligned with the topics of interest for the conference.

The best abstracts will be presented in the conference scientific sessions. The most relevant and top-quality abstracts presented will be invited to produce a full paper and after review by scientific committee members will be recommended for publication at a special issue of the BMC Journal 'Health Information Science and Systems.'

Industry/Clinical Case Study Abstracts (600 word overview):

Industry/clinical case study submissions require a 600 word abstract describing what you would like to speak on. Presenting at Big Data 2013 is a fantastic way to partner with healthcare facilities, clinicians, vendors and researchers to present a compelling case for the value of 'on the shop floor' implementations and issues and to get feedback from your peers.