A Conceptual Measurement Model for eHealth Readiness: a Team Based Perspective.
- Publication Type:
- Journal Article
- Citation:
- AMIA Annu Symp Proc, 2017, 2017, pp. 1382-1391
- Issue Date:
- 2017
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Phillips, J | |
dc.contributor.author | Poon, SK | |
dc.contributor.author | Yu, D | |
dc.contributor.author |
Lam, M |
|
dc.contributor.author | Hines, M | |
dc.contributor.author |
Brunner, M |
|
dc.contributor.author |
Power, E |
|
dc.contributor.author | Keep, M | |
dc.contributor.author | Shaw, T | |
dc.contributor.author | Togher, L | |
dc.date.accessioned | 2022-04-28T00:02:12Z | |
dc.date.available | 2022-04-28T00:02:12Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | AMIA Annu Symp Proc, 2017, 2017, pp. 1382-1391 | |
dc.identifier.issn | 1531-605X | |
dc.identifier.issn | 1942-597X | |
dc.identifier.uri | http://hdl.handle.net/10453/156719 | |
dc.description.abstract | Despite the shift towards collaborative healthcare and the increase in the use of eHealth technologies, there does not currently exist a model for the measurement of eHealth readiness in interdisciplinary healthcare teams. This research aims to address this gap in the literature through the development of a three phase methodology incorporating qualitative and quantitative methods. We propose a conceptual measurement model consisting of operationalized themes affecting readiness across four factors: (i) Organizational Capabilities, (ii) Team Capabilities, (iii) Patient Capabilities, and (iv) Technology Capabilities. The creation of this model will allow for the measurement of the readiness of interdisciplinary healthcare teams to use eHealth technologies to improve patient outcomes. | |
dc.format | Electronic-eCollection | |
dc.language | eng | |
dc.relation.ispartof | AMIA Annu Symp Proc | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject.mesh | Brain Injuries, Traumatic | |
dc.subject.mesh | Delivery of Health Care | |
dc.subject.mesh | Delphi Technique | |
dc.subject.mesh | Evaluation Studies as Topic | |
dc.subject.mesh | Focus Groups | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Models, Organizational | |
dc.subject.mesh | Organizational Innovation | |
dc.subject.mesh | Patient Care Team | |
dc.subject.mesh | Telemedicine | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Focus Groups | |
dc.subject.mesh | Telemedicine | |
dc.subject.mesh | Models, Organizational | |
dc.subject.mesh | Delphi Technique | |
dc.subject.mesh | Organizational Innovation | |
dc.subject.mesh | Delivery of Health Care | |
dc.subject.mesh | Patient Care Team | |
dc.subject.mesh | Evaluation Studies as Topic | |
dc.subject.mesh | Brain Injuries, Traumatic | |
dc.title | A Conceptual Measurement Model for eHealth Readiness: a Team Based Perspective. | |
dc.type | Journal Article | |
utslib.citation.volume | 2017 | |
utslib.location.activity | United States | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Public Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Graduate School of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Speech Pathology | |
utslib.copyright.status | open_access | * |
dc.date.updated | 2022-04-28T00:02:10Z | |
pubs.publication-status | Published online | |
pubs.volume | 2017 |
Abstract:
Despite the shift towards collaborative healthcare and the increase in the use of eHealth technologies, there does not currently exist a model for the measurement of eHealth readiness in interdisciplinary healthcare teams. This research aims to address this gap in the literature through the development of a three phase methodology incorporating qualitative and quantitative methods. We propose a conceptual measurement model consisting of operationalized themes affecting readiness across four factors: (i) Organizational Capabilities, (ii) Team Capabilities, (iii) Patient Capabilities, and (iv) Technology Capabilities. The creation of this model will allow for the measurement of the readiness of interdisciplinary healthcare teams to use eHealth technologies to improve patient outcomes.
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