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Main topics to be covered in this Minitrack include development of algorithms and tools aimed to solve the vast spectrum of challenging information technology (IT) and computing problems appearing in the areas of Translational Research that utilizes 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, machine learning, etc.), effective use of novel computational approaches (such as computer clusters and grid computing), as well as utilization of advanced Information Technology technique (such as ontology, data warehousing, integration of information, etc.).

Technical Area: Bioinformatics and Biocomputing. Topics will include but not limited to the following:

Ø Annotation Tools

Ø Clustering Algorithms

Ø Analysis of microarray data

Ø Identification of Biomarkers

Ø Data Mining Techniques in Bioinformatics

Ø Gene Prediction Techniques

Ø Genome Assembly and Interpretation

Ø Integrating of Heterogeneous Databases

Ø Prediction of RNA and Protein Structure

Ø Searching and Pattern Recognition in Biological and Clinical Databases

Ø Statistical Models and Techniques

Ø Visualization Tools

Hesham H. Ali (primary contact)

Department of Computer Science

College of Information Science and Technology

University of Nebraska at Omaha

Omaha NE 68182

Tel: (402) 554-3623

Fax: (402) 5540-3284

Email: hesham@unomaha.edu

Simon Sherman

Director, Nebraska Informatics Center for the Life Sciences

Professor, Eppley Cancer Institute, UNMC

986805 Nebraska Medical Center

Omaha NE 68198-6805

Tel: (402) 559-4497

Fax: (402) 559-4651

E-mail: ssherm@unmc.edu

Consumer Health Informatics

This Minitrack embraces research addressing aspects of consumer health informatics and consumer-centric technologies where the health care consumer takes an active role understanding, deciding about and/or managing their health; doctor-patient communication; clinical guideline and protocol support; monitoring and prevention of adverse events; personal health records (especially, security and privacy, access control rights, and operability across health applications and consumer segments) . Consumer participation may take place at various points in the care process: prevention, diagnosis, treatment, monitoring, and/or maintenance using health information on the internet, special tools and devices, or other forms of information systems. Research projects appropriate for this track encompass development, design, testing, use, process, dissemination, costs, and/or impact studies of consumer health informatics and consumer-centric technologies. We welcome submissions from researchers in multiple domains including information systems, public health, design science, nursing, communications, and medicine.

Cynthia LeRouge (primary contact)

Decision Sciences/ MIS Department

St. Louis University, DS 467

3674 Lindell Avenue

St. Louis MO 63108

Tel: (314) 977-3852

Fax: (314) 977-1483

Email: lerougec@slu.edu

Gordana Culjak

Department of Information Systems

Faculty of Information Technology

University of Technology, Sydney

City Campus

1 Broadway NSW 2007

AUSTRALIA

Tel: +61 2 9514 1833

Fax: +61 2 9514 4492

Email: gordana@it.uts.edu.au

Thomas A. Horan

School of Information Systems and Technology

Claremont Graduate University

130 East Ninth Street

Claremont CA 91711-6190

Tel: (909) 607-9302

Fax: (909) 621-8564

Email: Tom.Horan@cgu.edu

HCI Issues in Health Care IT

In order to comply with changing regulations and to improve support for office staff, clinicians, and patients, health care organizations worldwide are currently undertaking massive transformations and additions to their IT infrastructure. History suggests that the success of the health care applications that emerge from this process will depend to a large degree on the ability of people to use them effectively and efficiently. Human-computer interaction (HCI) research can provide valuable guidance to improve the operability of health care IT. Thus, potential exists for HCI researchers to apply existing knowledge to improve health care IT as well as to formulate new theories and practices specific to the health care context. This Minitrack provides a focused outlet at HICSS for HCI researchers in health care domains to share and discuss the results of their work.

Research is welcomed on any HCI topic relating to health care IT. Expanded information is available at: http://www.sba.uwm.edu/RISH/HICSS-HCIinHC.htm

Ann Fruhling (primary contact)

College of Information Science & Technology

Peter Kiewit Institute

University of Nebraska at Omaha

1110 S. 67^th Street

Omaha NE 68182-0500

Tel: (402) 554-4968

Fax: (402) 554-3284

Email: afruhling@mail.unomaha.edu

E. Vance Wilson

School of Business Administration

University of Wisconsin-Milwaukee

P.O. Box 742

Milwaukee WI 53201

Tel: (414) 229-2519

Fax: (414) 229-5559

Email: vancewilson@gmail.com

Nina McGarry

Assistant Professor, Information Systems

School of Business
Marymount University

1000 North Glebe Road

Ballston 313

Arlington VA 22207

Tel: (703) 284-5942

Fax: (703) 527-3830

Email: nmcgarry@marymount.edu

Interoperability and Standards in Health Care IT

This Minitrack addresses the limited ability of current health IT applications to exchange information with semantic meaning. Network economics argue that the value of Electronic Health Records (EHR) grows with the number of applications that can share electronic information. Existing and emerging standards such as ICD-9/10, LOINC, SNOMED and HL7v2.x/v3 do not meet traditional definitions of standards that promote interoperability because independent vendors seem unable or unwilling to achieve interoperability. The U.S. government has sponsored the health care Information Technology Standards Panel to harmonize existing standards. The initial goal is to determine a Minimal Data Set (MDS) of medical information and discover the overlaps and gaps of these existing standards. T

We seek papers relating to design science, implementation, case studies, economic arguments for interoperability, and the theory of creating scalable infrastructure to seamlessly exchange semantically defined medical information between heterogeneous applications.

Mark Gaynor (primary contact)

621A, School of Management

Boston University

595 Commonwealth Ave

Boston MA 02215

Tel: (617) 353-4159 or (617) 353-2523 (Dept)

Fax: (617) 353-5003

Email: mgaynor@bu.edu

Steve Moulton, M. D.

Pediatric Surgery, Dowling 2322
One Boston Medical Center Pl.
Boston MA 02118-2370

Tel: (617) 414-5131

Fax: (617) 414-3836

Email: moulton.steven@tchden.org

James Rawn

Division of Cardiac Surgery

Brigham and Women's Hospital

75 Francis St

Boston MA 02115

Tel: (617) 732-7678

Email: jrawn@partners.org

IT Adoption and Evaluation in Health Care

This Minitrack focuses on the role of adoption, implementation, diffusion, and evaluation factors and the interaction of these factors at various levels to health care system success. Papers may explore these issues for any form of health care technology (telemedicine, PACS, electronic medical records, PDA’s).

Topics may include but are not limited to:

Application of adoption, implementation, and diffusion theories, models, and constructs to the health care context
- Unified Technology Adaption & 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
IT Adoption at the individual, project, organizational, or system level
- Stakeholder analysis
- User characteristics
- Organizational or project structure and/or strategies
- Regional health care Initiatives
- Interaction among individual, organizational, project, and/or system level
- Role/impact of regulatory structures
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
IT Use
- 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
IT Evaluation
- Evidence-based support of emerging health care technologies
- Measures for evaluating health care technologies
- Level of IT capabilities
- Health IS success factors
- Feasibility Analysis
- Allied Health Professions

Ton Spil (primary contact)

Business Information Systems Department

Faculty of Business, Policy & Technology

University of Twente

P.O. Box 217

7500 AE Enschede

THE NETHERLANDS

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

Ken Trimmer
Computer Information Systems

College of Business

Idaho State University

Campus Box 8020

Pocatello ID 83209

Tel: (208) 282-3788

Fax: (208) 282-4367

Email: trimkenn@isu.edu

Cynthia LeRouge
Decision Sciences/ MIS Department

St. Louis University

3674 Lindell Avenue, DS 467

St. Louis MO 63108

Tel: (314) 977-3852

Fax: (314) 977-1483

Email: lerougec@slu.edu

Carla Wiggins

Department of health care Administration

Kasiska College of Health Professions

Idaho State University

Campus Box 8002

Pocatello ID 83209-8002

Tel: (208) 282-3586

Fax: (208) 282-4645

Email: wiggcarl@isu.edu

IT Applications in Health Care Environments

We invite papers that address IT applications in health care environments: from bespoke systems to commercial-off-the shelf (COTS) products, as applied to problems ranging from: data sharing in primary care, hospitals and public health domains to integrated systems for intelligent monitoring, ambient assisted and independent living.

Specific topics of interest include the following:

Integrating health care software systems:

· Heterogeneities, architectures and frameworks in health care systems: from technical and software integration to adaptations of health care work practices, work structures and procedures

· Complexities and challenges of sharing data and practices across health care systems: implications for electronic patient records, availability of data from primary and secondary care, building repositories for health care systems based on ambient intelligence and remote patient monitoring.

· Pervasive health care applications: context and preference modelling, integrating devices in ubiquitous health care environments, service oriented software solutions across heterogeneous health care systems.

· Intelligent health care systems: building ontologies for knowledge and data sharing, programmable pervasive spaces in health care ambient intelligence; personalisation and context awareness in intelligent health care environments.

Examples of integrated solutions in health care

· Communicating health-related data: from e-prescriptions, referral and discharge letters to integrated data for multimedia presentations and intercommunications between medical devices and health care systems.

· Shared databases for public health protection: accessibility, transparency and extraction of patient individual and aggregate data across primary care, clinical and public health care domains.

· Integrated software solutions for managing clinical trials and marketing authorisations in the pharmaceutical industry.

· The UK National Health Service (NHS) and its Local Implementation Strategy (LIS) programme, National Program for Information Technology (NPfIT), e-Government Interoperability Framework (e-GIF) initiative and similar.

Organisational and management mechanisms:

· Accessing and sharing heterogeneous health care databases for performance management and clinical governance.

· Sharing databases for simulation modelling, data mining, performance analysis and decision-making in health care.

health care COTS, freeware, shareware and OSS products’ identification, selection and their integration with health care systems.
Why health care IT applications are different

· health care systems organisational differences

· Commercial motives and patient survival

· Multiple and varied medical, administrative and regulatory procedures

· Patient configuration of health care services

Radmila Juric (primary contact)
Department of Information Systems and Computing
School of Informatics

University of Westminster
115 New Cavendish Street

London W1W 6UW

UNITED KINGDOM
Tel: +44 20 7911 5000 ext. 3591
Fax: +44 20 7911 5089
Email: juricr@wmin.ac.uk

Jasna Kuljis

School of Information Systems and Computing

Brunel University

Uxbridge, Middlesex UB8 3PH

UNITED KINGDOM
Tel: +44 (0)1895 266 015
Fax: +44 (0)1895 251 686
Email: Jasna.Kuljis@brunel.ac.uk

Patricia Oberndorf

Director, Dynamic Systems Program

Software Engineering Institute

Carnegie Melon University

4500 Fifth Avenue

Pittsburgh PA 15213-2612

Tel: (412) 268-6138

Fax: (412) 268-5758

Email: po@sei.cmu.edu

RETURN TO TRACKS Send questions or comments to: hicss@hawaii.edu