What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation
Open accessAbstract
BACKGROUND: Advanced Computerized Decision Support Systems (CDSSs) assist clinicians in their decision-making process, generating recommendations based on up-to-date scientific evidence. Although this technology has the potential to improve the quality of patient care, its mere provision does not guarantee uptake: even where CDSSs are available, clinicians often fail to adopt their recommendations. This study examines the barriers and facilitators to the uptake of an evidence-based CDSS as perceived by diverse health professionals in hospitals at different stages of CDSS adoption. METHODS: Qualitative study conducted as part of a series of randomized controlled trials of CDSSs. The sample includes two hospitals using a CDSS and two hospitals that aim to adopt a CDSS in the future. We interviewed physicians, nurses, information technology staff, and members of the boards of directors (n = 30). We used a constant comparative approach to develop a framework for guiding implementation. RESULTS: We identified six clusters of experiences of, and attitudes towards CDSSs, which we label as "positions." The six positions represent a gradient of acquisition of control over CDSSs (from low to high) and are characterized by different types of barriers to CDSS uptake. The most severe barriers (prevalent in the first positions) include clinicians' perception that the CDSSs may reduce their professional autonomy or may be used against them in the event of medical-legal controversies. Moving towards the last positions, these barriers are substituted by technical and usability problems related to the technology interface. When all barriers are overcome, CDSSs are perceived as a working tool at the service of its users, integrating clinicians' reasoning and fostering organizational learning. CONCLUSIONS: Barriers and facilitators to the use of CDSSs are dynamic and may exist prior to their introduction in clinical contexts; providing a static list of obstacles and facilitators, irrespective of the specific implementation phase and context, may not be sufficient or useful to facilitate uptake. Factors such as clinicians' attitudes towards scientific evidences and guidelines, the quality of inter-disciplinary relationships, and an organizational ethos of transparency and accountability need to be considered when exploring the readiness of a hospital to adopt CDSSs.
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The phenomenon of misplaced trust and loss of agency has been less studied for domain experts, who may be more confident in their own abilities and more skeptical of automation.
“However, this phenomenon has been less studied for domain experts, who may be more confdent in their own abilities and more skeptical of automation[26].”
From Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative (2021) · cites this paper as [26]
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
(1999) · Cited by 28,356 · see citing works
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789 · see citing works
Communities of Practice: Learning, Meaning, and Identity
Wenger, E. (1998) · doi:10.1017/cbo9780511803932 · Cited by 23,500 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
(2006) · Cited by 18,730 · see citing works
Developing and evaluating complex interventions: the new Medical Research Council guidance
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth, I., & Petticrew, M. (2008) · BMJ · doi:10.1136/bmj.a1655 · Cited by 10,995 · see citing works
(1993) · Cited by 9,879 · see citing works
The Discovery of Grounded Theory
Glaser, B. G., & Strauss, A. L. (2017) · Routledge eBooks · doi:10.4324/9780203793206-1 · Cited by 8,342 · see citing works
Constructing grounded theory. A practical guide through qualitative analysis
Brink, E., Dellve, L., Hallberg, U. E., Abrahamsson, K. H., Klingberg, G., & Wentz, K. (2006) · International Journal of Qualitative Studies on Health and Well-Being · doi:10.3402/qhw.v1i3.4932 · Cited by 6,909 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
(1993) · Elsevier eBooks · doi:10.1016/c2009-0-21512-1 · Cited by 5,533 · see citing works
Making sense of implementation theories, models and frameworks
Nilsen, P. (2015) · Implementation Science · doi:10.1186/s13012-015-0242-0 · Cited by 4,447 · see citing works
Organizational Justice: Yesterday, Today, and Tomorrow
Greenberg, J. (1990) · Journal of Management · doi:10.1177/014920639001600208 · Cited by 3,666 · see citing works
Technological frames: making sense of information technology in organizations
Orlikowski, W. J., & Gash, D. C. (1994) · ACM Transactions on Information Systems · doi:10.1145/196734.196745 · Cited by 1,736 · see citing works
Development of a theory of implementation and integration: Normalization Process Theory
May, C. R., Mair, F., Finch, T., MacFarlane, A., Dowrick, C., Treweek, S., Rapley, T., Ballini, L., Ong, B. N., Rogers, A., et al. (2009) · Implementation Science · doi:10.1186/1748-5908-4-29 · Cited by 1,409 · cited 2× · see citing works
“Sociology, Anthropology, Social Psychology, Philosophy Normalization Process Theory [56], Technological sense-making [57, 58], Sociotechnical Systems [59], Actor Network Theory [60], Communities of Practice [46] Technology adoption and spread is conceived as a social practice , constantly produced and re-produced thro…”
Successes and Failures in the Implementation of Evidence-Based Guidelines for Clinical Practice
Grol, R. (2001) · Medical Care · doi:10.1097/00005650-200108002-00003 · Cited by 1,233 · see citing works
Effect of Clinical Decision-Support Systems: A Systematic Review
Bright, T. J., Wong, A., Dhurjati, R., Bristow, E., Bastian, L., Coeytaux, R. R., Samsa, G., Hasselblad, V., Williams, J. W., Musty, M. D., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-1-201207030-00450 · Cited by 1,200 · see citing works
May, C., Finch, T., Mair, F., Ballini, L., Dowrick, C., Eccles, M., Gask, L., MacFarlane, A., Murray, E., Rapley, T., et al. (2007) · BMC Health Services Research · doi:10.1186/1472-6963-7-148 · Cited by 768 · see citing works
The GOMS family of user interface analysis techniques: comparison and contrast
John, B. E., & Kieras, D. E. (1996) · ACM Transactions on Computer-Human Interaction · doi:10.1145/235833.236054 · Cited by 687 · see citing works
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture
Vance, A., Elie-Dit-Cosaque, C., & Straub, D. W. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240403 · Cited by 599 · see citing works
Technology as equivoque: Sensemaking in new technologies.
Weick, K. E. (1990) · Cited by 528 · see citing works
Jaspers, M. W. M., Smeulers, M., Vermeulen, H., & Peute, L. W. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000094 · Cited by 525 · see citing works
Rationalizing Medical Work: Decision-Support Techniques and Medical Practices
Zussman, R., & Berg, M. (1998) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2654540 · Cited by 461 · see citing works
Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., Nieuwlaat, R., Souza, N. M., Beyene, J., Spall, H. G. C. V., et al. (2013) · BMJ · doi:10.1136/bmj.f657 · Cited by 458 · see citing works
Beyond usability: Designing effective technology implementation systems to promote patient safety
Karsh, B.-T. (2004) · Quality and Safety in Health Care · doi:10.1136/qshc.2004.010322 · Cited by 414 · see citing works
The practice of medical technology
Timmermans, S., & Berg, M. (2003) · Sociology of Health & Illness · doi:10.1111/1467-9566.00342 · Cited by 405 · see citing works
Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory
Greenhalgh, T., & Stones, R. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2009.12.034 · Cited by 371 · see citing works
Cresswell, K. M., Bates, D. W., & Sheikh, A. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-001684 · Cited by 366 · see citing works
Moja, L., Kwag, K. H., Lytras, T., Bertizzolo, L., Brandt, L., Pecoraro, V. L., Rigon, G., Vaona, A., Ruggiero, F. M., Mangia, M., et al. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.302164 · Cited by 341 · see citing works
Self-citationComputerized clinical decision support for prescribing: provision does not guarantee uptake
Moxey, A., Robertson, J., Newby, D., Hains, I., Williamson, M., & Pearson, S.-A. (2010) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3170 · Cited by 305 · see citing works
Why is it difficult to implement e-health initiatives? A qualitative study
Murray, E., Burns, J., May, C., Finch, T., O'Donnell, C., Wallace, P., & Mair, F. (2011) · Implementation Science · doi:10.1186/1748-5908-6-6 · Cited by 270 · see citing works
A Clinical Decision Support System for Prevention of Venous Thromboembolism
Durieux, P., Nizard, R., Ravaud, P., Mounier, N., & Lepage, É. (2000) · JAMA · doi:10.1001/jama.283.21.2816 · Cited by 239 · see citing works
Resisting Evidence: The Study of Evidence-Based Medicine as a Contemporary Social Movement
Pope, C. J. (2003) · Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · doi:10.1177/1363459303007003002 · Cited by 222 · see citing works
The work to make telemedicine work: A social and articulative view
Nicolini, D. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.11.001 · Cited by 214 · see citing works
Kukafka, R., Johnson, S. B., Linfante, A., & Allegrante, J. P. (2003) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2003.09.002 · Cited by 206 · see citing works
Human factors engineering and patient safety
Gosbee, J. W. (2002) · BMJ Quality & Safety · doi:10.1136/qhc.11.4.352 · Cited by 196 · see citing works
Souza, N. M., Sebaldt, R. J., Mackay, J. A., Prorok, J. C., Weise-Kelly, L., Navarro, T., Wilczynski, N. L., Haynes, R. B., & the CCDSS Systematic Review Team (2011) · Implementation Science · doi:10.1186/1748-5908-6-87 · Cited by 178 · see citing works
Varonen, H., Kortteisto, T., Kaila, M., & for the EBMeDS Study Group (2008) · Family Practice · doi:10.1093/fampra/cmn020 · Cited by 137 · see citing works
Identifying barriers to the effective use of clinical reminders: Bootstrapping multiple methods
Patterson, E. S., Doebbeling, B. N., Fung, C. H., Militello, L. G., Anders, S. H., & Asch, S. M. (2004) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2004.11.015 · Cited by 136 · see citing works
Holden, R. J., & Karsh, B.-T. (2009) · Behaviour & Information Technology · doi:10.1080/01449290601138245 · Cited by 128 · see citing works
Ellen, M., Léon, G., Bouchard, G., Ouimet, M., Grimshaw, J., & Lavis, J. N. (2014) · Implementation Science · doi:10.1186/s13012-014-0179-8 · Cited by 124 · see citing works
Esmaeilzadeh, P., Sambasivan, M., Kumar, N., & Nezakati, H. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.03.007 · Cited by 121 · see citing works
Jelinek, M., Goodman, P. S., Sproull, L. S., Fulk, J. L., & Steinfield, C. W. (1991) · Academy of Management Review · doi:10.2307/258926 · Cited by 115 · see citing works
Bhandari, M., Montori, V. M., Devereaux, P. J., et al. (2003) · Academic Medicine · doi:10.1097/00001888-200311000-00022 · Cited by 112 · see citing works
Trivedi, M. H., Daly, E., Kern, J. K., Grannemann, B. D., Sunderajan, P., & Claassen, C. A. (2009) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-9-6 · Cited by 104 · see citing works
Kwag, K. H., González‐Lorenzo, M., Banzi, R., Bonovas, S., & Moja, L. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5234 · Cited by 104 · see citing works
Self-citationPope, C., Halford, S., Turnbull, J., Prichard, J., Calestani, M., & May, C. (2013) · BMC Health Services Research · doi:10.1186/1472-6963-13-111 · Cited by 101 · see citing works
A Review of Online Evidence-based Practice Point-of-Care Information Summary Providers
Banzi, R., Liberati, A., Moschetti, I., Tagliabue, L., & Moja, L. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1288 · Cited by 87 · see citing works
Self-citationMarasinghe, K. M. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-006539 · Cited by 87 · see citing works
Heselmans, A., Aertgeerts, B., Donceel, P., Geens, S., de Velde, S. V., & Ramaekers, D. (2012) · Journal of Medical Systems · doi:10.1007/s10916-012-9841-3 · Cited by 74 · see citing works
Borab, Z. M., Lanni, M. A., Tecce, M. G., et al. (2017) · JAMA Surgery · doi:10.1001/jamasurg.2017.0131 · Cited by 74 · see citing works
Lugtenberg, M., Weenink, J.-W., van der Weijden, T., Westert, G. P., & Kool, R. B. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0205-z · Cited by 70 · see citing works
Studying Scale-Up and Spread as Social Practice: Theoretical Introduction and Empirical Case Study
Shaw, J., Shaw, S. E., Wherton, J. P., Hughes, G., & Greenhalgh, T. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7482 · Cited by 67 · see citing works
Kortteisto, T., Komulainen, J., Mākelä, M., Kunnamo, I., & Kaila, M. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-349 · Cited by 65 · see citing works
Sociotechnical systems approach to healthcare quality and patient safety
Carayon, P. (2012) · Work · doi:10.3233/wor-2012-0091-3850 · Cited by 64 · see citing works
Development of a computerised decision aid for thrombolysis in acute stroke care
Flynn, D., Nesbitt, D. J., Ford, G. A., McMeekin, P. J., Rodgers, H., Price, C., Kray, C., & Thomson, R. G. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-014-0127-1 · Cited by 55 · see citing works
The Wiley‐Blackwell Handbook of the Psychology of Leadership, Change, and Organizational Development
Leonard, H. S., Lewis, R., Freedman, A. M., & Passmore, J. (2013) · Wiley eBooks · doi:10.1002/9781118326404 · Cited by 52 · see citing works
Power and influence in clinical effectiveness and evidence-based medicine
Lipman, T. (2000) · Family Practice · doi:10.1093/fampra/17.6.557 · Cited by 49 · see citing works
Computerized Decision Support for the Cardiovascular Clinician
Piazza, G., & Goldhaber, S. Z. (2009) · Circulation · doi:10.1161/circulationaha.109.884031 · Cited by 47 · see citing works
Moja, L., Liberati, E. G., Galuppo, L., Gorli, M., Maraldi, M., Nanni, O., Rigon, G., Ruggieri, P., Ruggiero, F. M., Scaratti, G., et al. (2014) · Implementation Science · doi:10.1186/s13012-014-0105-0 · Cited by 45 · see citing works
Self-citationThe Wiley-Blackwell Handbook of the Psychology of Leadership, Change, and Organizational Development
Leonard, H. S., Lewis, R., Freedman, A. M., et al. (2009) · Cited by 26 · see citing works
Moja, L., Friz, H. P., Capobussi, M., Kwag, K. H., Banzi, R., Ruggiero, F. M., González‐Lorenzo, M., Liberati, E. G., Mangia, M., Nyberg, P. M., et al. (2015) · Implementation Science · doi:10.1186/s13012-016-0455-x · Cited by 24 · see citing works
Self-citationMoja, L., Passardi, A., Capobussi, M., Banzi, R., Ruggiero, F. M., Kwag, K. H., Liberati, E. G., Mangia, M., Kunnamo, I., Cinquini, M., et al. (2016) · Implementation Science · doi:10.1186/s13012-016-0514-3 · Cited by 24 · see citing works
Self-citationTurnbull, J., Pope, C., Rowsell, A., Prichard, J., Halford, S., Jones, J., May, C., & Lattimer, V. (2014) · Health Services and Delivery Research · doi:10.3310/hsdr02030 · Cited by 22 · see citing works
Engaging Users to Design Positive Technologies for Patient Engagement: the Perfect Interaction Model
Triberti, S., & Riva, G. (2015) · doi:10.1515/9783110452440-006 · Cited by 19 · see citing works
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González-Gonzalo, C., Thee, E. F., Klaver, C. C. W., Lee, A. Y., Schlingemann, R. O., Tufail, A., Verbraak, F., & Sánchez, C. I. (2022) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2021.101034 · Cited by 103 · see citing works
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- Authors
- Liberati, E. G., Ruggiero, F., Galuppo, L., Gorli, M., González-Lorenzo, M., Maraldi, M., Ruggieri, P., Polo Friz, H., Scaratti, G., Kwag, K. H., Vespignani, R., & Moja, L.
- Affiliations
- University of Cambridge (GB)
- University of Milan (IT)
- Università Cattolica del Sacro Cuore (IT)
- University of Padua (IT)
- Ben-Gurion University of the Negev (IL)
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT)
- Corresponding author
- Liberati, Elisa G.
- ORCID
- Venue
- Implementation Science
- Published
- 2017-09-15
- Volume
- 12
- Issue
- 1
- Pages
- 113-113
- ISSN
- 1748-5908 (ISSN-L)
- PMC
- PMC5602839
- OpenAlex
- W2754437305
- Cited by
- 301
- References
- 67
- Citations by year
- 2026: 33 · 2025: 34 · 2024: 38 · 2023: 53 · 2022: 54 · 2021: 33 · 2020: 29 · 2019: 21 · 2018: 6
- FWCI
- 21.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Implementation Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubliCatt (Università Cattolica del Sacro Cuore) (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Aisberg (University of Bergamo) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- Apollo
- Apollo (cc-by)
- Funders
- Italian Ministry of Health (GR-2009-1606736)
- Regione Lombardia (D.R.G. IX/4340 26/10/2012)
- Wellcome Trust (WT097899)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- computerized decision support systems, technology adoption barriers, clinician attitudes, professional autonomy, medical liability, usability, implementation framework, evidence-based medicine, clinical decision-making, organizational learning, interdisciplinary connections, hospital implementation
- MeSH terms
- Health Plan Implementation, Hospitals, Humans, Decision Support Systems, Clinical, Qualitative Research
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