| Literature DB >> 23258314 |
E Charani1, Y Kyratsis, W Lawson, H Wickens, E T Brannigan, L S P Moore, A H Holmes.
Abstract
OBJECTIVES: Smartphone usage amongst clinicians is widespread. Yet smartphones are not widely used for the dissemination of policy or as clinical decision support systems. We report here on the development, adoption and implementation process of the Imperial Antimicrobial Prescribing Application across five teaching hospitals in London.Entities:
Mesh:
Substances:
Year: 2012 PMID: 23258314 PMCID: PMC3594497 DOI: 10.1093/jac/dks492
Source DB: PubMed Journal: J Antimicrob Chemother ISSN: 0305-7453 Impact factor: 5.790
Figure 1.Snapshots of the final IAPP product. Further colour examples of the app are available from www1.imperial.ac.uk/medicine/about/institutes/cipm/centre_outputs/antimicrobialstewardship.
Figure 2.Monthly adoption rate of the application by staff over a 12 month period.
Figure 3.Using smartphone technology to track the use of policy in real time over its first month of release.
Barriers to adopting smartphone technology to access an antimicrobial decision support tool
| Organizational barriers | Individual barriers | Unintended consequences of not addressing barriers |
|---|---|---|
| the requirement for web-based applications to enable automatic update of data and information | individual end-user's need for prompts to update native applications—provision of choice to end-users may not be appropriate | application users may choose not to update native applications and not have access to up-to-date policy to inform the choices they make for patients |
| organizational commitment to providing mobile health (‘mHealth’) technology across all available platforms, e.g. iPhone, Android, BlackBerry, electronic tablets | knowledge of the mobile technology being used and how to update software and upload applications correctly | risk of compromising standardization in access to and use of organizational policies |
| the organizational culture and policy on the use of mobile devices at work | patient and staff preferences and beliefs and attitudes about using mobile devices in clinical settings | potential for poor uptake of the technology and misinformed beliefs about the purpose of using personal devices during healthcare staff and patient consultations |