INFORMATION TECHNOLOGY

IN HEALTH CARE TRACK

University of Hawai‘i

2404 Maile Way, G204

Honolulu, Hawaii 96822

Phone: (808) 956-9789
Fax: (808) 956-9889

Consumer Health Informatics, Patient Safety and Quality of Practice (Jim Warren, Gordana Culjak, and Cynthia LeRouge)

Data and Knowledge Management in Health Care (Don Berndt, Santosh Krishna, and James Studnicki)

E-Health Governance Structures in Health Care (Ton Spil, Reima Suomi, Robert Stegwee, and Jarmo Tähkäpää)

International Healthcare (William Chismar and Paul Fontelo)

IS Adoption, Diffusion, Implementation, and Evaluation in Health Care (Ton Spil, Cynthia LeRouge , Ken Trimmer and Carla Wiggins)

Process Integration and Evolution (Jeff Sutherland and Willem-Jan van den Heuvel)

Consumer Health Informatics, Patient Safety and Quality of Practice

Health care information systems are expected to reduce medical errors, improve quality of patient care and safety. These systems are increasingly supporting evidence-based medicine and patient-centric technologies, including monitoring of patient outcomes and adverse events, as well as better informing and empowering consumers themselves to work for better outcomes. This minitrack embraces all aspects of consumer health informatics and consumer-centric technologies or studies aimed at improving patient safety and quality of care, including: supporting consumers taking an active role in understanding, deciding about and/or managing their health; doctor-patient communication; clinical guideline and protocol support; monitoring and prevention of adverse events; and electronic health records – especially, security and privacy, access control rights, and consumer ability to make entries into the health record (including home monitoring).

Jim Warren (Primary Contact)

Advanced Computing Research Centre

University of South Australia

Mawson Lakes SA 5095 AUSTRALIA

Phone: +61 8 8302 3446

Fax: +61 8 8302 3988

warren@cs.unisa.edu.au

Gordana Culjak

Department of Information Systems

Faculty of Information Technology

University of Technology, Sydney

City Campus

1 Broadway NSW 2007

Australia

Phone: +61 2 9514 1833

Fax: +61 2 9514 4492

gordana@it.uts.edu.au

Cynthia LeRouge

Decision Sciences/ MIS Department

St. Louis University

3674 Lindell Avenue

DS 467

St. Louis, MO 63108

Phone: (314) 977-3852

Fax: (314) 977-1483

lerougec@slu.edu

back to top

Data and Knowledge Management in Health Care

For this minitrack, we invite papers that address all aspects of the technologies, applications and practices related to data and knowledge management in health care, including database systems and data warehousing/mining technologies that contribute to health information management.

Specific topics of interest include, but are not restricted to, the following:

· Analysis, Design, and Development of Database Systems for Health Care Applications

· Data Modeling for Health Care Applications

· Distributed Health Care Information Infrastructures

· Data Standards for Health Care Applications

· Data Quality Issues

· Data Warehousing/Mining for Health Care Information

· Decision Support Systems for Health Care

· Health Care Knowledge Management

· Public Health Information Systems

· Health Surveillance Systems

· Geographical Information Systems for Health Care Applications

Donald J. Berndt (Primary Contact)
Information Systems & Decision Sciences

College of Business Administration

University of South Florida

4202 E. Fowler Ave., CIS 1040

Tampa, FL 33620-7800

(813) 974-6769/5524

dberndt@coba.usf.edu

coba.usf.edu/berndt

Santosh Krishna
School of Public Health
Saint Louis University
3545 Lafayette Avenue, Suite 300
St. Louis, MO 63104
Phone: (314) 977-8280

Fax: (314) 977-3234
krishnas@slu.edu

James Studnicki

Health Policy & Management

College of Public Health

University of South Florida

13201 Bruce B. Downs Blvd., MDC 56

Tampa, FL 33612

(813) 974-6653

jstudnic@hsc.usf.edu

back to top

E-Health Governance Structures in Health Care

Our minitrack focuses on the effect of ICT on the governance structures of health care. How does and should information and telecommunication technology affect them? Business process redesign is related to the issue, but governance structures are at a higher level both in importance and interest: business processes happen within the frames governance structures give. Governance structures are stable and slow to change.

Areas of interest include but are not limited to:

ownership of patient data
role of government in adjusting governance structures
e-governance
networking patterns and options for health care
different interpretations of the patient-health care provider relationship
health care cluster definitions and analyses
the interplay between business processes and governance structures in health care
peer-to-peer computing applications in health care
effects of governance structures on health care personnel
e-communities and their dynamics in health care

Ton AM Spil (Primary Contact)
School of Business, Public Administration and Technology
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands
a.a.m.spil@utwente.nl

Reima Suomi (Primary Contact)
Professor of Information Systems Science
Turku School of Economics and Business Administration
Rehtorinpellonkatu 3
Fin-20500 Turku
Finland
Phone: +358 2 481 4409
Mobile +358 50 410 2282
Fax + 358 2 481 4451
reima.suomi@tukkk.fi

Jarmo Tähkäpää
Turku School of Economics and Business Administration
Information Systems Science
Rehtorinpellonkatu 3
FIN-20500 Turku
Finland
Phone: +358 2 481 4412
Mobile +358 400 644 556
Fax + 358 2 481 4451
jarmo.tahkapaa@tukkk.fi

Robert Stegwee
robert.stegwee@capgemini.com

back to top

International Healthcare

The goal of this minitrack is to provide a forum for discussing developments, progress and challenges faced by healthcare practitioners, researchers, information technology professionals, and policy makers in applying information technology to improve healthcare in international settings. We invite papers that address all aspects of policy analysis, technologies, and practices related to information technology support of healthcare at a national or international level.

Specific topics of interest include, but are not restricted to the following:

Healthcare in countries with developing economies
IT support for disaster relief
Public health informatics
Information infrastructure standards and development
Regional health information organizations
Partnerships between healthcare organizations, universities, donor agencies and governmental bodies
Policies and standards for electronic medical record systems
Access to information sources, medical journals and publications
International collaboration and networking
Delivery of medical education to healthcare workers in clinic settings and the community
Remote diagnosis and treatment
Data gathering and synchronization
Telemedicine and telehealth
Disease surveillance and epidemic response systems
The Internet and healthcare provider and consumer applications

William Chismar (Primary Contact)

University of Hawai’i at Manoa

College of Business Administration

2404 Maile Way, G204

Honolulu HI 96822

808-956-9789

chismar@hawaii.edu

Paul A. Fontelo

Office of High Performance Computing and Communications

B1N30 38A

National Library of Medicine

Bethesda, MD 20854

301-435-3265

fontelo@nlm.nih.gov

back to top

IS Adoption, Diffusion, Implementation, 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 healthcare system success. Papers may explore these issues for any form of healthcare technology (telemedicine, PACS, electronic patient records, PDA’s).

Topics include but are not limited to:

Application of adoption, implementation, and diffusion theories, models, and constructs to the health care context
- Technology acceptance model (TAM)
- Socio-technical system theory
- Social learning theory
- Delone & Mclean model
IT Adoption at the individual, project, organizational, or system level
- Stakeholder analysis
- User characteristics
- Organizational or project structure and/or strategies
- Interaction among individual, organizational, project, and/or system level
- Role/impact of regulatory structures
IT implementation
- Effective implementation strategies
- Health IT project management
IT diffusion
- Factors and models of continued use
- Emergence of standards and process controls
Risk Analysis
- Situational compatibility
- Constraint identification
- Contingency factors
IT evaluation
- Evidence-based support of emerging healthcare technologies
- Measures for evaluating healthcare technologies
- Level of IT capabilities
- Health IS success factors
- Feasibility Analysis

Ton AM Spil (Primary Contact)
School of Business, Public Administration and Technology
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands
a.a.m.spil@utwente.nl

Ken Trimmer

Computer Information Systems

College of Business

Idaho State University

Campus Box 8020

Pocatello, ID 83209

Phone: 208-282-3788

Fax: (208)282-4367

trimkenn@isu.edu

Cynthia LeRouge

Decision Sciences/ MIS Department

St. Louis University

3674 Lindell Avenue

DS 467

St. Louis, MO 63108

Phone: 1-314-977-3852

Fax: 1-314-977-1483

lerougec@slu.edu

Carla Wiggins

Department of Healthcare Administration

Kasiska College of Health Professions

Idaho State University
Address: Campus Box 8002
Pocatello, ID 83209-8002
Phone: (208) 282-3586
Fax: (208) 282-4645

wiggcarl@isu.edu

back to top

Process Integration and Evolution

Currently, there is a lack of methodologies, tools and applications concerning the integration, management and evolution of cross-organizational business processes in the context of healthcare, e.g., cross-hospital information systems, and healthcare regional “hubs”. It is the aim of this minitrack to attract research papers covering issues that help overcome this gap.

The minitrack is focused on business integration and evolution solutions in healthcare (e.g., between hospitals), as in this area there is a huge potential for application of emerging integration technologies and interesting problems and examples that can be identified.

Examples of relevant topics include, but are not restricted to:

Process integration with medical web-services
Service Oriented Architectures (SOA) allowing access to and sharing of patient data residing in multiple clinical repositories
RFID tracking of patients, staff, supplies, instruments, equipment – accumulating baseline data
Design patterns for successful integration of healthcare processes
Healthcare service integration bus and infrastructure
Evolution of healthcare processes; proactive change management
Healthcare integration hubs
Process analysis of patient flow bottlenecks and development of process improvements targets
Testing process improvements
Dynamic application generation: real time support for workflow engines to obtain information needed at any step of process
Case studies