The DOI matches its Crossref record; 83 of the 84 references it cites were found in a registry or an index.
A review and a framework of handheld computer adoption in healthcare
Abstract
Wide adoption of mobile computing technology can potentially improve information access, enhance workflow, and promote evidence-based practice to make informed and effective decisions at the point of care. Handheld computers or personal digital assistants (PDAs) offer portable and unobtrusive access to clinical data and relevant information at the point of care. This article reviews the literature on issues related to adoption of PDAs in health care and barriers to PDA adoption. Studies showed that PDAs were used widely in health care providers' practice, and the level of use is expected to rise rapidly. Most care providers found PDAs to be functional and useful in areas of documentation, medical reference, and access to patient data. Major barriers to adoption were identified as usability, security concerns, and lack of technical and organizational support. PDAs offer health care practitioners advantages to enhance their clinical practice. However, better designed PDA hardware and software applications, more institutional support, seamless integration of PDA technology with hospital information systems, and satisfactory security measures are necessary to increase acceptance and wide use of PDAs in healthcare.
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In the citing paper
“Competing priorities [42, 57, 59, 62, 63, 70, 82], lack of motivation [31, 39, 42, 57, 68, 81] and low awareness of the intervention [31, 35, 38, 39, 43, 44, 68, 75, 80, 81] were shown to impede implementation.”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [42]
In the citing paper
“patient values and preferences [3, 33] and concerns about clinician-patient relationships [42, 77] impeded implementation”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [42]
In the citing paper
“competencies, e.g. adequate training and good computer experience/skills were shown to facilitate implementation [16, 17, 31, 32, 34, 41, 42, 44, 54–58, 60, 67, 70, 77, 80, 81, 84–86].”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [42]
In the citing paper
“The costs of an intervention and whether practices could obtain a positive return on investment [51] and in particular the time invested [42, 51] were considered to be features that would promote implementation.”
From Achieving change in primary care—causes of the evidence to practice gap: systematic reviews of reviews (2015) · cites this paper as [42]
Citations
Cites
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754
Mellor, D. H. (1981) · Cited by 1,699
Improving Safety with Information Technology
Bates, D. W., & Gawande, A. A. (2003) · New England Journal of Medicine · doi:10.1056/nejmsa020847 · Cited by 1,544
Communication behaviours in a hospital setting: an observational study
Coiera, E. W., & Tombs, V. (1998) · BMJ · doi:10.1136/bmj.316.7132.673 · Cited by 488
Handheld Computing in Medicine
Fischer, S. E., Stewart, T. E., Mehta, S., Wax, R. S., & Lapinsky, S. E. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1180 · Cited by 318
Mobile information and communication tools in the hospital
Ammenwerth, E., Buchauer, A., Bludau, H.-B., & Haux, R. (2000) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00056-8 · Cited by 208
Doctors' experience with handheld computers in clinical practice: qualitative study
McAlearney, A. S., Schweikhart, S. B., & Medow, M. A. (2004) · BMJ · doi:10.1136/bmj.328.7449.1162 · Cited by 187
Information technology and medication safety: what is the benefit?
Kaushal, R. (2002) · BMJ Quality & Safety · doi:10.1136/qhc.11.3.261 · Cited by 154
Clinician Use of a Palmtop Drug Reference Guide
Rothschild, J. M. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1001 · Cited by 154
Leung, G. M., Johnston, J. M., Tin, K. Y. K., Wong, I. O. L., Ho, L.-M., Lam, W. W. T., & Lam, T.-H. (2003) · BMJ · doi:10.1136/bmj.327.7423.1090 · Cited by 130
Research works printed but not linked: 5
- Carroll, 2001, Proc. AMIA Symp.
- d’Hemecourt, 2001, Assistance in the palm of your hand, Healthc. Inform., 18, 102
- Rosenberg, 2001, Personal digital assistants: an asset to managing healthcare, J. Massachusetts Dent. Soc., 49, 32
- Rosenbloom, 2003, Medical error reduction and PDAs, Int. Pediatr., 18, 69
- Kiel, 2001, Using personal digital assistant to enhance outcomes, J. Healthc. Inf. Manage., 15, 237
Cited by
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Items 301–314 of 314
Jacbs, R. S. W., & BILLING., G. C. (2018)
Kheirinejad, S., Alorwu, A., Visuri, A., & Hosio, S. J. (2022) · doi:10.2196/preprints.38265
Adoption of Mobile Technology by Public Healthcare Doctors
Banderker, N., & Belle, J.-P. V. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-183-6.ch012
Exploring Physicians' Resistance to Using Mobile Devices
González, P. A., & Chan, Y. E. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3926-1.ch076
Technology Acceptance Models to Improve Adoption of Health Information Systems
Rashid, A. H. (2021) · Journal of Advanced Sciences and Engineering Technologies · doi:10.32441/jaset.01.01.03
Digital Mental Health Interventions for Children and Youth
Machado, A. S., Ferreira, B., Pereira, C. Y., Carrola, C., de Melo, B. B. V., & Campos, C. (2023) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-9251-2.ch002
Child Health Nurses' Acceptance and Use of a Novel Telehealth Platform
Goudswaard, L., Penny, R. A., Edmunds, J., & Arnautovska, U. (2024) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001116
Kamal, N. R., Thain, T., & Ho, K. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3495-5_17
What about us? Using qualitative methods to explore the library as workplace
Goodman, V. D. (2011) · Elsevier eBooks · doi:10.1016/b978-1-84334-644-9.50007-x
Data Filtering for Handheld Device Application
Balitanas, M. O. (2013)
Metadata
- Authors
- Lu, Y.-C., Xiao, Y., Sears, A., & Jacko, J. A.
- Affiliations
- University of Maryland, Baltimore (US)
- University of Maryland, Baltimore County (US)
- Georgia Institute of Technology (US)
- Corresponding author
- Xiao, Yan
- ORCID
- Xiao, Yan
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 74
- Issue
- 5
- Pages
- 409-422
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2016477529
- Cited by
- 315
- References
- 84
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 2 · 2020: 7 · 2019: 8 · 2018: 18 · 2017: 9 · 2016: 15 · 2015: 15 · 2014: 24 · 2013: 23 · 2012: 18
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- personal digital assistants, technology adoption, barriers to adoption, clinical documentation, patient data access, usability, data security, organizational support, hospital information system integration
- MeSH terms
- Attitude to Computers, Delivery of Health Care, Diffusion of Innovation, Health Personnel, United States, Access to Information, Computers, Handheld
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