Healthcare professionals’ organisational barriers to health information technologies—A literature review
Open accessAbstract
Objectives This literature review identifies and categorises, from an organisational management perspective, barriers to the use of HIT or ICT for health. Based on the review, it offers policy interventions.Methods This systematic literature review was carried out during December 2009 and January 2010. Additional on-going reviews of updates through automated system alerts took place up until this paper was submitted. A total of thirty-one sources were searched including nine software platforms/databases, fifteen specialised websites/targeted databases, Google Scholar, ISI Science Citation Index and five journals hand-searched.Results The study covers seventy-nine articles on organisational barriers to ICT adoption by healthcare professionals. These are categorised under five main headings - (I) Structure of healthcare organisations; (II) Tasks; (III) People policies; (IV) Incentives; and (V) Information and decision processes. A total of ten subcategories are also identified. By adopting an organisational management approach, some recommendations to remove organisational management barriers are made.Conclusions Despite their apparent promise, health information technologies (HIT) have proved difficult to implement. This systematic review reveals the implementation barriers associated to organisational management and their interrelations. Several important future directions in the field are also suggested: (1) there is a need for further research providing evidence of HIT cost-effectiveness as well as the development of optimal HIT applications; (2) more information is needed regarding organisational change, incentives, liability issues, end-users HIT competences and skills, structure and work process issues involved in realising the benefits from HIT. Future policy interventions should consider the five dimensions identified when addressing the impact of HIT in healthcare organisational systems, and how the impact of an intervention aimed at a particular dimension would interrelate with others.
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Management support is important for implementation success.
“Management support is also important for implementation success [25, 37, 50, 54].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [37]
The availability, or lack thereof, of time to learn new e-health systems, implement them, and train staff to use them was reported by several studies as a resource factor important for implementation.
“The availability, or lack thereof, of time to learn new e-health systems, implement them [25, 37, 53] and train staff to use them [49] was reported by several studies as a resource factor important for implementation.”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [37]
Negative perceptions included beliefs that electronic systems would disrupt care delivery, doubts that systems can improve patient care/clinical outcomes/quality of medical practices, distrust in systems, and general staff resistance to change.
“Negative perceptions included beliefs that electronic systems would disrupt the delivery of care [49]; doubts that these systems can improve patient care, clinical outcomes or improve the quality of medical practices [43]; and distrust in the systems [37] as well as a more general staff resistance to change [28, 32, 39, 41, 49, 51–53].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [37]
Training and financial incentives were cited as strategies to overcome skill-related barriers.
“Training [25, 37, 43] and financial incentives [37] were cited as strategies to overcome skill-related barriers.”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [37]
Multiple organisational barriers to IT projects in health have been noted, covering structures, policies, incentives, training, changes to work processes, and work culture issues.
“On a cautionary note, multiple organisational barriers to IT projects in health have been noted [29], covering structures, policies, incentives, training, changes to work processes, and work culture issues.”
From Transitioning a home telehealth project into a sustainable, large-scale service: a qualitative study (2016) · cites this paper as [29]
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References 103 · Cited by 358
- Authors
- Lluch, M.
- Affiliations
- European Commission (BE)
- Corresponding author
- Lluch, Maria
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 80
- Issue
- 12
- Pages
- 849-862
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2016915416
- Cited by
- 358
- References
- 103
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 22 · 2023: 24 · 2022: 21 · 2021: 20 · 2020: 31 · 2019: 26 · 2018: 30 · 2017: 26 · 2016: 38 · 2015: 34 · 2014: 24 · 2013: 28 · 2012: 7
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion, cc-by-nc-nd)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
- Joint Research Centre (European Commission) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- health information technology, organizational barriers, ICT adoption, healthcare workers, organizational management, incentives, organizational change, health policy interventions
- MeSH terms
- Computer Communication Networks, Health Personnel, Humans, Medical Informatics, Professional Practice, Decision Support Systems, Clinical
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