Cited by 269Electronic Health Records SystemsInformation Systems Theories and ImplementationTechnology and Human Factors in Education and Health

The DOI matches its Crossref record; 18 of the 19 references it cites were found in a registry or an index.

Categorizing the unintended sociotechnical consequences of computerized provider order entry

Ash, Joan S., Sittig, Dean F., Dykstra, Richard H., Guappone, Kenneth, Carpenter, James D., Seshadri, Veena·2007·International Journal of Medical Informatics

DOI 10.1016/j.ijmedinf.2006.05.017

Open this paper in CoChat — free account

Abstract

Objective To describe the kinds of unintended consequences related to the implementation of computerized provider order entry (CPOE) in the outpatient setting.Design Ethnographic and interview data were collected by an interdisciplinary team over a 7 month period at four clinics.Measurements Instances of unintended consequences were categorized using an expanded Diffusion of Innovations theory framework.Results The framework was clarified and expanded. There are both desirable and undesirable unintended consequences, and they can be either direct or indirect, but there are also many consequences that are not clearly either desirable or undesirable or may even be both, depending on one's perspective. The undesirable consequences include error and security concerns and issues related to alerts, workflow, ergonomics, interpersonal relations, and reimplementations.Conclusion Consequences of implementing and reimplementing clinical systems are complex. The expanded Diffusion of Innovations theory framework is a useful tool for analyzing such consequences.

Integrity signals

Registry

Crossref · 10.1016/j.ijmedinf.2006.05.017

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Diffusion of Innovations 1
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
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
Qualitative Data Analysis
(2008) · Springer eBooks · doi:10.1007/978-0-387-77282-0_6 · Cited by 17,411
To Err Is Human
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,367
Book Review
Wall, A. (2000) · British Journal of Healthcare Management · doi:10.12968/bjhc.2000.6.9.19311 · Cited by 5,912
Qualitative data analysis (2nd ed)
Morse, J. M. (1996) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(96)00056-6 · Cited by 5,613
Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
Self-citation
Relationship between medication errors and adverse drug events
Bates, D. W., Boyle, D. L., Vliet, M. B. V., Schneider, J., & Leape, L. (1995) · Journal of General Internal Medicine · doi:10.1007/bf02600255 · Cited by 981 · cited 2×
“growing worldwide interest because there is some evidence that it increases medical safety by reducing medical errors [3–8].”
Background
Qualitative data analysis
Denault, J.-F. (2018) · The business & management collection. · doi:10.69645/rcxl3480 · Cited by 560
Effects of Computerized Physician Order Entry on Prescribing Practices
Teich, J. M., Merchia, P., Schmiz, J. L., Kuperman, G. J., Spurr, C. D., & Bates, D. W. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.18.2741 · Cited by 475

Flagged first, then by citations

Show all 19 references

1 of the 19 references couldn’t be matched to a known paper.

Sorted by citations

Items 101–200 of 269

Toward an Integrated Simulation Approach for Predicting and Preventing Technology-Induced Errors in Healthcare: Implications for Healthcare Decision-Makers
Borycki, E. M., Kushniruk, A. W., Keay, E., Nicoll, J. A. R., Anderson, J. G., & Anderson, M. (2009) · Healthcare Quarterly · doi:10.12927/hcq.2009.20974 · Cited by 31
Computerized provider order entry–related medication errors among hospitalized patients: An integrative review
Elshayib, M., & Pawola, L. M. (2020) · Health Informatics Journal · doi:10.1177/1460458220941750 · Cited by 33
Opportunités d’erreurs médicamenteuses et interventions pharmaceutiques dans le cadre de la prescription informatisée : revue des données publiées par les pharmaciens hospitaliers français
Charpiat, B., Bedouch, P., Conort, O., Rose, F.-X., Juste, M., Roubille, R., & Allenet, B. (2012) · Annales Pharmaceutiques Françaises · doi:10.1016/j.pharma.2012.02.002 · Cited by 31
Identifying and eliminating inefficiencies in information system usage: A lean perspective
Blijleven, V., Koelemeijer, K., & Jaspers, M. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.08.005 · Cited by 32
Review of Social and Organizational Issues in Health Information Technology
Kuziemsky, C. E. (2015) · Healthcare Informatics Research · doi:10.4258/hir.2015.21.3.152 · Cited by 33
Student, parent, and teacher perceptions towards digital educational games: How they differ and influence each other
Xie, J., Wang, M., Hooshyar, D., & |, |. (2021) · Knowledge Management & E-Learning An International Journal · doi:10.34105/j.kmel.2021.13.008 · Cited by 40
Assessing the anticipated consequences of Computer-based Provider Order Entry at three community hospitals using an open-ended, semi-structured survey instrument
Sittig, D. F., Ash, J. S., Guappone, K. P., Campbell, E. M., & Dykstra, R. H. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.08.005 · Cited by 30
Self-citation
Evidence Based Health Informatics: 10 Years of Efforts to Promote the Principle
Ammenwerth, E., Beuscart-Zéphir, M.-C., Brender, J., Hyppönen, H., Melia, S., Nykänen, P., Talmon, J. L., de Keizer, N. F., & Rigby, M. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638830 · Cited by 29
Understanding Unintended Consequences and Health Information Technology
Randell, R., Borycki, E. M., & Kuziemsky, C. E. (2016) · Yearbook of Medical Informatics · doi:10.15265/iy-2016-027 · Cited by 29
Digital health and patient safety: Technology is not a magic wand
Sujan, M. A., Scott, P., & Cresswell, K. M. (2019) · Health Informatics Journal · doi:10.1177/1460458219876183 · Cited by 35
A framework for ensuring a balanced accounting of the impact of antimicrobial stewardship interventions
Toma, M., Davey, P. G., Marwick, C., & Guthrie, B. (2017) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkx312 · Cited by 28
SEWA: A framework for sociotechnical analysis of electronic health record system workarounds
Blijleven, V., Koelemeijer, K., & Jaspers, M. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.02.012 · Cited by 31
Effects of CPOE-based medication ordering on outcomes: an overview of systematic reviews
Abraham, J., Kitsiou, S., Meng, A., Burton, S., Vatani, H., & Kannampallil, T. (2020) · BMJ Quality & Safety · doi:10.1136/bmjqs-2019-010436 · Cited by 31
Empowering Patients: Making Health Information and Systems Safer for Patients and the Public
Househ, F. M. S., Kushniruk, A. W., Nøhr, C., Takeda, H., & Borycki, E. M. (2012) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1639431 · Cited by 26
Electronic Medical Record Availability and Primary Care Depression Treatment
Harman, J. S., ROST, K. M., Harle, C. A., & Cook, R. L. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-012-2001-0 · Cited by 27
Methods for Addressing Technology-induced Errors: The Current State
Dexheimer, J. W., Cossio, C. H. L., Gong, Y., Jensen, S., Kaipio, J., Kennebeck, S., Kirkendall, E. S., Kushniruk, A. W., Kuziemsky, C. E., Marcilly, R., et al. (2016) · Yearbook of Medical Informatics · doi:10.15265/iy-2016-029 · Cited by 26
The unintended consequences of combining equity measures with performance-based financing in Burkina Faso
Turcotte‐Tremblay, A., Allegri, M. D., Gali-Gali, I. A., & Ridde, V. (2018) · International Journal for Equity in Health · doi:10.1186/s12939-018-0780-6 · Cited by 30
Comparison of Manual versus Automated Data Collection Method for an Evidence-Based Nursing Practice Study
Jordan, T. R., Welle, T. M., & Byrne, M. D. (2013) · Applied Clinical Informatics · doi:10.4338/aci-2012-09-ra-0037 · Cited by 26
Memorandum on the Use of Information Technology to Improve Medication Safety
Aly, A.-F., Bürkle, T., Christ, P., Dormann, H., Friesdorf, W., Haas, C., Haefeli, W. E., Jeske, M., Kaltschmidt, J., Menges, K., et al. (2014) · Methods of Information in Medicine · doi:10.3414/me14-01-0040 · Cited by 25
An Evaluation of Understandability of Patient Journey Models in Mental Health
Percival, J., & McGregor, C. (2016) · JMIR Human Factors · doi:10.2196/humanfactors.5640 · Cited by 26
Improving Evaluation to Address the Unintended Consequences of Health Information Technology
Ammenwerth, E., Hyppönen, H., de Keizer, N. F., Nykänen, P., Rigby, M., Scott, P., Talmon, J. L., Georgiou, A., & Magrabi, F. (2016) · Yearbook of Medical Informatics · doi:10.15265/iy-2016-013 · Cited by 22
The Impact of Electronic Prescribing on the Professionalization of Community Pharmacists: A Qualitative Study of Pharmacists’ Perception
Motulsky, A., Winslade, N. E., Tamblyn, R. M., & Sicotte, C. (2008) · Journal of Pharmacy & Pharmaceutical Sciences · doi:10.18433/j3x59g · Cited by 24
Adoption of Electronic Health Records
Fraser, R., McClay, J. C., Woelfl, N. N., Thompson, C. B., Cambell, J., Windle, J. R., & Grabenbauer, L. A. (2011) · Applied Clinical Informatics · doi:10.4338/aci-2011-01-ra-0003 · Cited by 24
Increased appropriateness of customized alert acknowledgement reasons for overridden medication alerts in a computerized provider order entry system
Dekarske, B., Zimmerman, C. R., Chang, R., Grant, P., & Chaffee, B. W. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.09.001 · Cited by 24
Health Information Technology and Victory
Wears, R. L. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2014.08.024 · Cited by 23
Medication prescribing errors: a pre- and post-computerized physician order entry retrospective study
Rouayroux, N., Calmels, V., Bachelet, B., Sallerin, B. A.-M., & Divol, E. (2018) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-018-0747-0 · Cited by 23
Health information technology usability evaluation: methods, models, and measures
Yen, P. (n.d.) · ProQuest Demo Repository · Cited by 24
Junior doctors’ prescribing work after-hours and the impact of computerized decision support
Jaensch, S. L., Baysari, M. T., Day, R. O., & Westbrook, J. I. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.06.014 · Cited by 22
Ethical and Legal Issues in the Use of Health Information Technology to Improve Patient Safety
Berner, E. S. (2008) · HEC Forum · doi:10.1007/s10730-008-9074-5 · Cited by 22
Sociotechnical Challenges of Developing an Interoperable Personal Health Record
Longhurst, C., Slayton, R. M., Das, A. K., & Gaskin, G. (2011) · Applied Clinical Informatics · doi:10.4338/aci-2011-06-ra-0035 · Cited by 20
Participatory design for computerization of clinical practice guidelines
Lyng, K. M., & Pedersen, B. S. (2011) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2011.05.005 · Cited by 21
Building Usability Knowledge for Health Information Technology: A Usability-Oriented Analysis of Incident Reports
Marcilly, R., Schiro, J., Beuscart-Zéphir, M. C., & Magrabi, F. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1691841 · Cited by 20
A systematic analysis of the optimization of computerized physician order entry and clinical decision support systems: A qualitative study in English hospitals
Wiegel, V., King, A., Mozaffar, H., Cresswell, K. M., Williams, R., & Sheik, A. (2019) · Health Informatics Journal · doi:10.1177/1460458219868650 · Cited by 21
The relationship between computerized physician order entry and pediatric adverse drug events: a nested matched case‐control study
Yu, F., Salas, M., Kim, Y. I., & Menachemi, N. (2009) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1777 · Cited by 20
Socio-technical considerations in epilepsy electronic patient record implementation
Quaid, L. M., Breen, P., Grimson, J. B., Normand, C. E. M., Dunne, M., Delanty, N., Kalra, D., & Fitzsimons, M. B. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.01.013 · Cited by 20
Comprehensive process model of clinical information interaction in primary care: results of a “best-fit” framework synthesis
Veinot, T. C., Senteio, C. R., Hanauer, D. A., & Lowery, J. C. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx085 · Cited by 19
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies
Pang, R. Y., Santy, S., Just, R., & Reinecke, K. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642054 · Cited by 19
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?
Starren, J. B., Tierney, W. M., Williams, M. S., Tang, P. C., Weir, C. R., Koppel, R., Payne, P., Hripcsak, G. M., & Detmer, D. E. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa320 · Cited by 19
Using electronic health record systems in diabetes care
Veinot, T. C., Zheng, K., Lowery, J. C., Souden, M., & Keith, R. E. (2010) · International Health Informatics Symposium · doi:10.1145/1882992.1883026 · Cited by 19
The Effect of a Novel Housestaff Quality Council on Quality and Patient Safety
Fleischut, P. M., Faggiani, S. L., Evans, A. S., Brenner, S. K., Liebowitz, R. S., Forese, L. L., Kerr, G. E., & Lazar, E. J. (2012) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(12)38041-0 · Cited by 18
Medication errors related to computerized provider order entry systems in hospitals and how they change over time: A narrative review
Kinlay, M., Zheng, W. Y., Burke, R. A., Juraskova, I., Moles, R. J., & Baysari, M. T. (2020) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2020.12.004 · Cited by 18
Overcoming challenges to achieving meaningful use: insights from hospitals that successfully received Centers for Medicare and Medicaid Services payments in 2011
Harle, C. A., Huerta, T. R., Ford, E. W., Diana, M. L., & Menachemi, N. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001142 · Cited by 19
The Long and Winding Road: An Independent Evaluation of the Implementation and Adoption of the National Health Service Care Records Service (NHS CRS) in Secondary Care in England
Cresswell, K. M., Ali, M., Avery, A. J., Barber, N., Cornford, T., Crowe, S., Fernando, B., Jacklin, A., Jani, Y. H., Klecuń, E., et al. (2011) · Figshare · Cited by 18
Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke
Ballard, D. W., Kim, A. S., Huang, J., Park, D., Kene, M. V., Chettipally, U. K., Iskin, H. R., Hsu, J., Vinson, D. R., Mark, D. G., et al. (2015) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2015.07.018 · Cited by 17
Knowledge Translation and Barriers to Imaging Optimization in the Emergency Department: A Research Agenda
Probst, M. A., Dayan, P. S., Raja, A. S., Slovis, B. H., Yadav, K., Lam, S. H. F., Shapiro, J. S., Farris, C. A., Babcock, C. I., Griffey, R. T., et al. (2015) · Academic Emergency Medicine · doi:10.1111/acem.12830 · Cited by 17
A Quality Improvement Initiative to Decrease the Rate of Solitary Blood Cultures in the Emergency Department
Choi, J. M., Ensafi, S., Chartier, L. B., & Praet, O. V. (2017) · Academic Emergency Medicine · doi:10.1111/acem.13161 · Cited by 17
Understanding CancelRx: Results of End-to-End Functional Testing, Proactive Risk Assessment, and Pilot Implementation
Pitts, S. I., Barasch, N., Maslen, A., Thomas, B. A., Dorissaint, L. P., Decker, K. G., Kazi, S., Yang, Y., & Chen, A. R. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1688698 · Cited by 17
Quantifying Electronic Health Record Data: A Potential Risk for Cognitive Overload
Gal, D. B., Han, B. S., Longhurst, C., Scheinker, D., & Shin, A. Y. (2021) · Hospital Pediatrics · doi:10.1542/hpeds.2020-002402 · Cited by 16
Does e-pain plan improve management of sickle cell disease associated vaso-occlusive pain crisis? A mixed methods evaluation
Kato-Lin, Y.-C., Krishnamurti, L., Padman, R., & Seltman, H. J. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.08.003 · Cited by 16
The impacts of second generation e-prescribing usability on community pharmacists outcomes
Peikari, H. R., Shah, M. H., Zakaria, M. S., Yasin, N. M., & Elhissi, A. M. A. (2014) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2014.08.011 · Cited by 16
Evaluation of a Korean version of a tool for assessing the incorporation of human factors into a medication-related decision support system: the I-MeDeSA
Cho, I., Han, H., Phansalkar, S., Bates, D. W., & Lee, J. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2014-01-ra-0005 · Cited by 16
Digitizing Cinemas – Comprehensive Intended and Unintended Consequences for Diversity
Gran, A.-B., & Gaustad, T. (2022) · The Journal of Arts Management Law and Society · doi:10.1080/10632921.2021.2018374 · Cited by 15
How do unintended consequences emerge from EHR implementation? An affordance perspective
Trocin, C., Lee, G., Bernardi, R., & Sarker, S. (2024) · Information Systems Journal · doi:10.1111/isj.12526 · Cited by 15
Exploring Workarounds Related to Electronic Health Record System Usage: A Study Protocol
Blijleven, V., Koelemeijer, K., & Jaspers, M. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6766 · Cited by 16
Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective
Salahuddin, L. B., Ismail, Z., Ikram, R. R. R., Hashim, U. R., Idris, A., Ismail, N. H., Hassan, N. H., & Rahim, F. A. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1597164 · Cited by 14
On-the-job training of health professionals for electronic health record and electronic medical record use: A scoping review
Younge, V. L., Borycki, E. M., & Kushniruk, A. W. (2015) · Knowledge Management & E-Learning An International Journal · doi:10.34105/j.kmel.2015.07.029 · Cited by 15
Healthcare practitioner behaviours that influence unsafe use of hospital information systems
Salahuddin, L. B., Ismail, Z., Hashim, U. R., Ismail, N. H., Ikram, R. R. R., Rahim, F. A., & Hassan, N. H. (2019) · Health Informatics Journal · doi:10.1177/1460458219833090 · Cited by 15
STAT-HI: A Socio-Technical Assessment Tool for Health Informatics Implementations
Scott, P., & Briggs, J. S. (2010) · The Open Medical Informatics Journal · doi:10.2174/1874431101004010214 · Cited by 14
Health Care Information Technology
Liebovitz, D. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.79 · Cited by 14
interventions to improve antibiotic prescribing practices for hospital inpatients (updated protocol)
Davey, P. G., Peden, C., Brown, E. M., Charani, E., Michie, S., Ramsay, C. R., & Marwick, C. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011236 · Cited by 14
Retracted
Unintended consequences of pharmacy information systems: A case study
Rohani, N., & Yusof, M. M. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104958 · Cited by 13
Understanding college students' opinions on a smoking policy
Cho, Y., & DeVaney, S. A. (2010) · International Journal of Consumer Studies · doi:10.1111/j.1470-6431.2010.00878.x · Cited by 13
The Effects of Electronic Prescribing by Community-Based Providers on Ambulatory Medication Safety
Abramson, E. L., Pfoh, E. R., Barrón, Y., Quaresimo, J., & Kaushal, R. (2013) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(13)39070-9 · Cited by 13
Forcing Functions: The Need for Restraint
Bisantz, A. M., & Wears, R. L. (2009) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2008.07.019 · Cited by 12
Quality
Coleman, N. E., & Pon, S. (2013) · Critical Care Clinics · doi:10.1016/j.ccc.2012.11.002 · Cited by 12
Electronic prescribing system design priorities for antimicrobial stewardship: a cross-sectional survey of 142 UK infection specialists
Hand, K. S. P., Cumming, D. V. E., Hopkins, S., Ewings, S. M., Fox, A., Theminimulle, S., Porter, R. J., Parker, N., Munns, J., Sheikh, A., et al. (2016) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkw524 · Cited by 12
Designing Computerized Provider Order Entry Software in Iran
Khammarnia, M., Sharifian, R., Zand, F., & Keshtkaran, A. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000250 · Cited by 11
Description of Inpatient Medication Management Using Cognitive Work Analysis
Pingenot, A., Shanteau, J., & SENGSTACKE, L. D. N. (2009) · CIN Computers Informatics Nursing · doi:10.1097/ncn.0b013e3181bcad2f · Cited by 11
Continuous Technology Implementation and Sustainability of Sociotechnical Change: A Case Study of Advanced Intravenous Infusion Pump Technology Implementation in a Hospital
Carayon, P., Wetterneck, T. B., Hundt, A. S., Rough, S. S., & Schroeder, M. E. (2008) · Contributions to management science · doi:10.1007/978-3-7908-2046-1_9 · Cited by 11
The Workflow of Computerized Medication Ordering in Primary Care is Not Prescriptive
Russ, A. L., Saleem, J. J., McManus, M. S., Frankel, R. M., & Zillich, A. J. (2010) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193121005401207 · Cited by 10
State of the evidence on simulation-based electronic health records training: A scoping review
Nuamah, J. K., Adapa, K., & Mazur, L. M. (2022) · Health Informatics Journal · doi:10.1177/14604582221113439 · Cited by 12
The Natural Hospital Environment: A Socio-Technical-Material perspective
Fernando, J., & Dawson, L. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.10.008 · Cited by 9
Development of an Instrument to Measure the Unintended Consequences of EHRs
Carrington, J. M., Gephart, S. M., Verran, J. A., & Finley, B. A. (2015) · Western Journal of Nursing Research · doi:10.1177/0193945915576083 · Cited by 11
INTENDED AND UNINTENDED CONSEQUENCES OF INNOVATION ADOPTION: OPEN GOVERNMENT DATA ADOPTION BY THE FEDERAL DISTRICT OF BRAZIL
de Oliveira, L. F., & dos Santos, C. D. (2019) · REAd Revista Eletrônica de Administração (Porto Alegre) · doi:10.1590/1413-2311.214.80559 · Cited by 10
Electronic health records (EHR) simulation-based training: a scoping review protocol
Nuamah, J. K., Adapa, K., & Mazur, L. M. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-036884 · Cited by 10
Examination of Nursing Data Elements From Evidence-Based Recommendations for Clinical Decision Support
Byrne, M. D., & Lang, N. M. (2013) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000013 · Cited by 10
Investigating health information systems-induced errors
Yusof, M. M., & Sahroni, M. N. (2018) · International Journal of Health Care Quality Assurance · doi:10.1108/ijhcqa-07-2017-0125 · Cited by 11
A SYSTEMATIC LITERATURE REVIEW ON SAFE HEALTH INFORMATION TECHNOLOGY USE BEHAVIOUR
Salahuddin, L. B., Ismail, Z., & Abidin, W. Z. (2016) · Jurnal Teknologi · doi:10.11113/jt.v78.8225 · Cited by 9
Understanding indirect system use of junior employees in the context of healthcare
Xu, Y., Tong, Y., Liao, S. S., Zhou, G., & Yu, Y. (2018) · Information & Management · doi:10.1016/j.im.2018.03.005 · Cited by 9
The Challenges of Electronic Health Records and Diabetes Electronic Prescribing: Implications for Safety Net Care for Diverse Populations
Ratanawongsa, N., Chan, L. L. S., Fouts, M. M., & Murphy, E. J. (2017) · Journal of Diabetes Research · doi:10.1155/2017/8983237 · Cited by 9
Simulations to AssessMedication Administration Systems
Borycki, E. M., Kushniruk, A. W., Kuwata, S., & Watanabe, H. (2009) · IGI Global eBooks · doi:10.4018/978-1-60566-234-3.ch010 · Cited by 9
Managing the patient safety risks of bottom-up health information technology innovations: Recommendations for healthcare providers
Sujan, M. A. (2018) · BMJ Health & Care Informatics · doi:10.14236/jhi.v25i1.952 · Cited by 8
Recognizing nurse stakeholder dissonance as a critical determinant of patient safety in new healthcare information technologies
Samaras, E. A., Real, S. D., Curtis, A. M., & Meunier, T. S. (2012) · Work · doi:10.3233/wor-2012-0406-1904 · Cited by 8
Development and piloting of a software tool to facilitate proactive hazard and risk analysis of Health Information Technology
Habli, I., Jia, Y., White, S., Gabriel, G., Lawton, T., Sujan, M. A., & Tomsett, C. (2019) · Health Informatics Journal · doi:10.1177/1460458219852789 · Cited by 8
Health Information Technology–Related Loss of Central Surveillance Data in a Heart Intensive Care Unit: Multi-Framework Case Report
Jabin, M. S. R. (2026) · JMIR Human Factors · doi:10.2196/92560 · Cited by 7
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening
Stevens, E. R., Caverly, T. J., Butler, J. M., Kukhareva, P., Richardson, S. I., Mann, D. M., & Kawamoto, K. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104525 · Cited by 7
Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.
Longhurst, C., Palma, J. P., Grisim, L. M., Widen, E., Chan, M., & Sharek, P. J. (2013) · PubMed · Cited by 7
Interactive Sociotechnical Analysis
Harrison, M. I., & Koppel, R. (2010) · IGI Global eBooks · doi:10.4018/978-1-60566-030-1.ch003 · Cited by 7
Tensions associated with the use of electronic knowledge resources within clinical decision-making processes: A multiple case study
Mysore, N., Pluye, P., Grad, R. M., & Johnson‐Lafleur, J. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.09.004 · Cited by 6
Erreurs de préparation et d’administration de médicaments injectables dans un hôpital tunisien : étude prospective
Triki, E. Z., Belmabrouk, R., Keskes, H., & Sfar, S. (2011) · Le Pharmacien Hospitalier et Clinicien · doi:10.1016/j.phclin.2011.05.022 · Cited by 6
Computerized provider-order entry: challenges, achievements, and opportunities
Johnson, K. B. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000579 · Cited by 6
Development and Field Testing of a Self-Assessment Guide for Computer-Based Provider Order Entry
Vartian, C. V., Singh, H., Russo, E. M., & Sittig, D. F. (2014) · Journal of Healthcare Management · doi:10.1097/00115514-201409000-00007 · Cited by 6
Self-citation
Mapping the sociotechnical healthcare ecosystem: expanding the horizons of sociotechnical inquiry.
Brown, M., Shaw, N. T., & Mador, R. L. (2008) · PubMed · Cited by 6
Capturing Information Needs of Care Providers to Support Knowledge Sharing and Distributed Decision Making
Zach, L., An, Y., Dalrymple, P. W., & Rogers, M. L. (2012) · Applied Clinical Informatics · doi:10.4338/aci-2011-08-cr-0053 · Cited by 6
Impact of Information Technology on the Quality of Health Services
Dobrescu, R., & Purcărea, V. L. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-27449-7_23 · Cited by 6
Évaluation des bases de données médicamenteuses disponibles sur le marché français
Hacin, L., Mainar, A., & Edouard, B. (2013) · Annales Pharmaceutiques Françaises · doi:10.1016/j.pharma.2012.12.001 · Cited by 5
What can paper-based clinical information systems tell us about the design of computerized clinical information systems (CIS) in the ICU?
Miller, A., Pilcher, D. V., Mercaldo, N. D., Leong, T., Scheinkestel, C. D., & Schildcrout, J. S. (2010) · Australian Critical Care · doi:10.1016/j.aucc.2010.02.001 · Cited by 5
Effects of Electronic Medical Record Display on Provider Ordering Behavior: Leveraging the EMR to Improve Quality and Costs
Schnaus, M. J., Michalik, M., & Skarda, P. K. (2017) · The American Journal of Medicine · doi:10.1016/j.amjmed.2017.08.019 · Cited by 5
Path of least resistance: how computerised provider order entry can lead to (and reduce) wasteful practices
Choi, J. M., & Atlin, C. R. (2018) · BMJ Open Quality · doi:10.1136/bmjoq-2018-000345 · Cited by 5
Usability Problems and Obstacles to Addressing Them in Health Information Software Implementations
Li, M. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-19115-3_20 · Cited by 5

Authors: Ash, J. S., Sittig, D. F., Dykstra, R. H., Guappone, K., Carpenter, J. D., & Seshadri, V.
Affiliations: Oregon Health & Science University (US)
Corresponding author: Ash, Joan S.
ORCID: Ash, Joan S.
Sittig, Dean F.
Venue: International Journal of Medical Informatics
Publisher: Elsevier BV
Published: 2007-06
Volume: 76
Pages: S21-S27
ISSN: 1386-5056 (ISSN-L)
DOI: 10.1016/j.ijmedinf.2006.05.017
OpenAlex: W2004091813
Cited by: 267
References: 19
Citations by year: 2026: 4 · 2025: 4 · 2024: 8 · 2023: 8 · 2022: 8 · 2021: 4 · 2020: 6 · 2019: 15 · 2018: 9 · 2017: 18 · 2016: 17 · 2015: 17 · 2014: 18 · 2013: 22 · 2012: 22
FWCI: 33.61
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Medical Informatics (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health
U.S. National Library of Medicine (LM06942)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords: computerized physician order entry, unintended consequences, diffusion of innovations, outpatient clinics, clinical workflow, clinical alerts, medical errors, patient safety, human factors, interpersonal relationships, health information technology
MeSH terms: Ambulatory Care, Diffusion of Innovation, Humans, Interviews as Topic, Oregon, Sociology, Medical, Interdisciplinary Communication, Medical Order Entry Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Categorizing the unintended sociotechnical consequences of computerized provider order entry

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks