Title |
An interdisciplinary team communication framework and its application to healthcare 'e-teams' systems design
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2009
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DOI | 10.1186/1472-6947-9-43 |
Pubmed ID | |
Authors |
Craig E Kuziemsky, Elizabeth M Borycki, Mary Ellen Purkis, Fraser Black, Michael Boyle, Denise Cloutier-Fisher, Lee Ann Fox, Patricia MacKenzie, Ann Syme, Coby Tschanz, Wendy Wainwright, Helen Wong, Interprofessional Practices Team (alphabetically) |
Abstract |
There are few studies that examine the processes that interdisciplinary teams engage in and how we can design health information systems (HIS) to support those team processes. This was an exploratory study with two purposes: (1) To develop a framework for interdisciplinary team communication based on structures, processes and outcomes that were identified as having occurred during weekly team meetings. (2) To use the framework to guide 'e-teams' HIS design to support interdisciplinary team meeting communication. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Canada | 2 | 1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Sweden | 1 | <1% |
Argentina | 1 | <1% |
New Zealand | 1 | <1% |
Unknown | 163 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 38 | 22% |
Researcher | 21 | 12% |
Student > Ph. D. Student | 21 | 12% |
Student > Bachelor | 20 | 11% |
Student > Doctoral Student | 10 | 6% |
Other | 40 | 23% |
Unknown | 24 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 21% |
Nursing and Health Professions | 34 | 20% |
Business, Management and Accounting | 17 | 10% |
Social Sciences | 16 | 9% |
Computer Science | 11 | 6% |
Other | 28 | 16% |
Unknown | 32 | 18% |