The focus of data analysis and data mining tools in biomedical research highlights the current state of research in the key biomedical research areas such as bioinformatics, medical informatics and biomedical imaging. Addressing security concerns in managing and accessing medical data, while facilitating the ability to integrate and correlated different biomedical databases remains the most outstanding problem in biomedical research. The amount of available biomedical data continues to grow in an exponential rate; however, the impact of utilizing such resources remains minimal. The development of innovative tools to integrate, analyze and mine such data sources is a key step towards achieving large impact levels.

Main topics to be covered in this minitrack include development of algorithms and tools aimed to solve the vast spectrum of challenging data utilization problems appearing in health care and in various areas related to biomedical research, particularly issues related to the ability to utilize heterogeneous Biological and Clinical databases. These developments include the use of advanced mathematical and statistical methods (such as graph theory, Bayesian networks, hidden Markov models and machine learning), as well as utilization of advanced IT techniques (such as ontology, data warehousing, integration of information).

Therefore, this minitrack has an IT focus with emphasis on database and data mining tools in biomedical research. We solicit research that addresses the issues of how to collect, manage and analyze heterogeneous databases. This will include clustering algorithms, classification techniques and the development of stochastic models for data integration and mining.

Topics may include but not limited to the following:

• Analysis of Microarray Data
• Bioinformatics Tools for Health Care
• Biomedical Imaging
• Biomedical Visualization Tools
• Clustering and Classification Algorithms
• Nature-inspired Algorithms in Biomedical Applications
• Temporal Analysis in Biomedical Applications
• Correlation Networks in Biomedical Research
• Data Mining Techniques in Biomedical Applications
• Heterogeneous Data Integration
• Identification of Biomarkers
• Information Security in Biomedical Applications
• Ontology and Database Integration
• Pattern Recognition and search tools in Biological and Clinical Databases
• Sequence Analysis Tools
• Statistical Models and Analysis in Biomedical Applications
• Tracking and monitoring tools in medical environments

Hesham H. Ali is a Professor of Computer Science and the Lee and Wilma Seaman Distinguished Dean of the College of Information Science and Technology (IS&T), at the University of Nebraska at Omaha (UNO). He is also the deputy director for computational sciences of the Nebraska Informatics Center for Life Center (NICLS), and the director of the UNO Bioinformatics Core Facility. He received his Ph.D. from the University of Nebraska-Lincoln in 1988, and his BS and MS from the University of Alexandria, in 1982 and 1985, respectively, all in Computer Science. He has published numerous articles in various IT areas including scheduling, distributed systems, wireless networks, and Bioinformatics. He has also published two books in scheduling and graph algorithms, and several book chapters in Bioinformatics. He is currently serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative (NRI) in the areas of wireless networks and Bioinformatics. He has been leading a Bioinformatics Research Group at UNO that focuses on developing innovative computational approaches to identify and classify biological organisms. The research group is developing a new assessment system for evaluating transcription factor binding sites tools, and a stochastic model for predicting biomarkers in cancer. He has also been leading two funded projects for developing secure wireless infrastructure and using wireless technologies to address tracking and monitoring problems in medical environments.

Kathryn Dempsey is a PhD student at the University of Nebraska Medical Center in the Bioinformatics Specialty track. She graduated in December 2007 with a B.S. in Bioinformatics from the University of Nebraska at Omaha (UNO), having completed just over two years of research under the supervision of the Nebraska INBRE program and UNO Bioinformatics Research Group. Kate has been honored with multiple Student Travel awards and most recently, a Best Poster award in October 2009 for original research investigating inner ear protein function with in-silico analysis.  She has co-authored several papers related to motif finding tools in Bioinformatics. She is currently working on a chapter related to advanced sequence analysis techniques. Her current research focuses on the use correlation networks to discover new relationships among various biological elements, particularly in the domain of aging research.

The minitrack is open to all methodologies including, but not limited to case study (business/information systems oriented), survey, experimental design, workflow and other forms of business process modeling, interview, content analysis, conceptual papers, and the various forms of quantitative analysis. In addition, we welcome innovative research focused on adoption, implementation, use, and evaluation in Healthcare. Work should be at a mature (data collected and some analysis performed), though not necessarily final stages. Completed, high quality research will receive special consideration.

• Unified Technology Adoption & Use Theory (UTAUT) and Technology acceptance model
• Socio-technical system theory
• Social learning theory
• Information Systems Success models
• Theory of Planned Behavior
• Organizing Vision and organizational adoption models
• Information Assurance constructs of confidentiality, integrity, and availability IT

• Stakeholder analysis
• User characteristics
• Organizational or project structure and/or strategies
• Regional Healthcare Initiatives
• Interaction among individual, organizational, project, and/or system level
• Role/impact of regulatory structures
• Information Assurance constructs of confidentiality, integrity, and availability
  IT Implementation

• Effective implementation strategies
• Electronic Medical Records
• Health IT project management
• Participation of professionals in e-health projects
• The influence of the local system
• Workflow analysis
• Information Assurance constructs of confidentiality, integrity, and availability

• Factors and models of continued use
• Human Computer Interaction
• Models to measure or predict Use of IT (USE IT)
• Emergence of standards and process controls
• E-Health
• Meaningful Use

• Evidence-based support of emerging healthcare technologies
• Measures for evaluating healthcare technologies
• Level of IT capabilities
• Health IS success factors
• Feasibility Analysis
• Allied Health Professions
• Business modeling and business cases
• Information Assurance constructs of confidentiality, integrity, and availability

SEND INQUIRIES TO:

University of Twente

Email: a.a.m.spil@utwente.nl

Idaho State University

Email: trimkenn@isu.edu

Saint Louis University

Email: lerougec@slu.edu

University of Wisconsin - Milwaukee

Email: wiggins@uwm.edu

We invite papers that address IT architectures and applications in healthcare environments, which range from the management, communication, social interactions and dissemination of data and information across healthcare systems, to pervasive healthcare settings and intelligent, ubiquitous healthcare environments. We would also like to receive papers from a spectrum of disciplines involved in the delivery of healthcare: through contemporary software technologies, smart healthcare solutions and environments based on social-intensive healthcare data.

Specific topics of interest may include:

1. Integrated solutions in healthcare:

• Heterogeneities, architectures and frameworks in healthcare systems.
• Complexities and challenges in sharing data and practices within and across healthcare systems: implications for electronic health records and the management of patient information; availability of clinical and demographic data from primary and secondary care; accessibility, and transparency of patient individual and aggregate data in/across various healthcare domains.
• Communicating heath-related data: exchange and integration of clinical documents, (from referral and discharge letters and laboratory transactions to results reporting and clinical summaries); disseminating data to healthcare professionals and professional caregivers, e-prescriptions; e-health, m-health.
• Healthcare software solutions based on COTS: freeware, shareware and OSS products identification, selection and their use in healthcare systems.

2. Pervasive healthcare applications:

• Pervasive healthcare applications: integrating devices in ubiquitous healthcare; service oriented software solutions across heterogeneous healthcare systems; context and preference modelling.
• Intelligent healthcare systems: ontologies for knowledge and data sharing in healthcare; programmable pervasive spaces in healthcare; personalisation and context awareness in intelligent healthcare environments.
• Examples of applications of pervasive healthcare: from supporting cognitive behavioural therapies and education of patients with special needs to remote and continuous patient physiological and psychological monitoring.
• Information and knowledge management in pervasive healthcare settings: from mobile and context aware communications, to scheduling, awareness and co-ordination systems and their impact on patient healthcare records.

3. Interactive Healthcare and Organisational/Management Mechanisms:

Submit inquiries to:
Radmila Juric (Primary Contact)
University of Westminster
Email: juricr@wmin.ac.uk

Jasna Kuljis
Brunel University
Email: Jasna.Kuljis@brunel.ac.uk

Patricia Oberndorf
Carnegie Melon University
Email: po@sei.cmu.edu