The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index; none of the 48 sources its claims cite is checked for support yet.
EHR Safety: The Way Forward to Safe and Effective Systems
Open accessAbstract
Diverse stakeholders--clinicians, researchers, business leaders, policy makers, and the public--have good reason to believe that the effective use of electronic health care records (EHRs) is essential to meaningful advances in health care quality and patient safety. However, several reports have documented the potential of EHRs to contribute to health care system flaws and patient harm. As organizations (including small hospitals and physician practices) with limited resources for care-process transformation, human-factors engineering, software safety, and project management begin to use EHRs, the chance of EHR-associated harm may increase. The authors propose a coordinated set of steps to advance the practice and theory of safe EHR design, implementation, and continuous improvement. These include setting EHR implementation in the context of health care process improvement, building safety into the specification and design of EHRs, safety testing and reporting, and rapid communication of EHR-related safety flaws and incidents.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
23 Not checked yet · 2 Own interpretation · 1 No basis given
In the paper
“In those organizations, including those of the authors, clinicians regard easy access to test results, clinician observations, clinical-decision support, and e-messaging as vital to care quality and patient safety.”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [1] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“The third study, conducted in a subpopulation of a children's hospital, documented a doubling of mortality (from 2.8% to 6.6%) after CPOE implementation.23”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [23] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“The identification of EHR-related flaws increases markedly with every new software deployment (both original implementations and upgrades).22,42”
§ EHR Safety: The Way Forward to Safe and Effective Systems > Prevent and Manage EHR-related Incidents
What the sources say
- Not checked yetcites [22] source
- Not checked yetcites [42]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“The fourth study, conducted in the same hospital, showed no significant change in mortality.24”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [24] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Although the first two studies have been widely cited as showing CPOE benefits, neither showed improvements in patient outcomes.20 -22”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Complicating matters, the health care literature documents the potential of EHRs to contribute to safety incidents and patient harm.1,23,30 -33”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR-related Safety Flaws
What the sources say
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Although some measures of error showed improvement, overall safety and effectiveness have been addressed in only five studies.[21][22][23][24][25]”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Assessing the overall safety and effectiveness of EHR use is made difficult by the limited research literature.”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“Published reports of CPOE-related errors have provided initial, high-level typologies of safety incidents.30,44,45”
§ EHR Safety: The Way Forward to Safe and Effective Systems > Communicate Safety Flaws and Incidents
What the sources say
- Not checked yetcites [30] source
- Not checked yetcites [44]
- Not checked yetcites [45]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Because of this extensive customization (a type of overfitting), reports of EHR-related effectiveness from these organizationsalthough important as efficacy studies-may not be generalizable to the less customized EHRs and EHR implementations that most organizations will use.”
§ EHR Safety: The Way Forward to Safe and Effective Systems > Introduction
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: The decades-long iterative development of early EHRs improved the fit between the software and the organization, users, and care processes.
- Rests on an assumption: In the first organizations to use EHRs, software designers knew the organization, the users, and the care processes the EHR was meant to support.
- It may state two separate claims as one. 6
- Probably not a substantial claim. 2
None of the sources cited for this claim have been checked yet.
In the paper
“Because EHRs are particularly complex technology innovations-affecting workflows, communications, job definitions, working conditions, and job security-demonstrat-ing and improving their safety is critically important.[5][6][7][8][9][10]”
§ EHR Safety: The Way Forward to Safe and Effective Systems > Introduction
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The fifth study found that only thirty-one percent of physicians and fifty-six percent of nurses believed that the EHR contributed to improvement of care overall.25”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [25] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This approach will reinforce the fact that safe and effective use of an EHR requires new organizational policies, processes, work systems, job descriptions, and education.38,39”
§ EHR Safety: The Way Forward to Safe and Effective Systems > Use EHRs as Tools for Health Care Process Improvement
What the sources say
- Not checked yetcites [38]
- Not checked yetcites [39]
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“In fact, the second study reported an increase in medication errors and adverse drug events, which was reversed after an improvement in the CPOE interface.22”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [22] source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“A more recent systematic review of health care information technology (largely EHRs) by Chaudhry et al. concluded that in most health care settings, it may be difficult “to determine what benefits to expect from health information technology use and how best to implement the system in order to maximize the value derived.”27”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [27] source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The few available studies have largely been conducted by the developers of the EHRs and have focused on the effect of order entry (CPOE) systems on a limited number of error types.[17][18][19][20]”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“A systematic review of outpatient CPOE systems found only four studies that addressed safety and concluded, “the relatively small number of evaluation studies published to date do not provide adequate evidence that CPOE systems enhance safety and reduce cost in the outpatient settings.”28”
§ EHR Safety: The Way Forward to Safe and Effective Systems > EHR Safety and Effectiveness
What the sources say
- Not checked yetcites [28] source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The paper relies on this without support.
Widespread EHR adoption is necessary to achieve many American health care goals, including better care quality and patient safety.
“There is a growing consensus that widespread adoption of electronic health care records (EHRs) is essential to achieving many American health care goals, including improved care quality and patient safety”
The paper relies on this without support.
The benefits of well-managed EHRs are probably substantial.
“Although the benefits of well-managed EHRs may seem obvious and are likely substantial”
The paper relies on this without support.
Few EHR risk-management strategies have been published.
“Few EHR risk-management strategies have been published.”
The paper relies on this without support.
No published research identifies a comprehensive set of effective risk-reduction activities.
“In the absence of published research that identifies a comprehensive set of effective risk-reduction activities”
The paper relies on this without support.
Most EHR-related safety flaws are found and fixed before they cause a safety incident.
“Most of these flaws are identified and mitigated before a safety incident occurs.”
The paper relies on this without support.
A small fraction (anecdotally less than 0.1%) of flaws are discovered only after they contribute to an incident.
“A small number (anecdotally, Ͻ0.1%) are discovered after they contribute to an incident (for example, a medication administration error).”
The paper relies on this without support.
Smaller hospitals and most physician practices likely lack the resources to mount such an initiative.
“Smaller hospitals and most physician practices are unlikely to have the resources to mount such an initiative.”
The paper relies on this without support.
The decades-long iterative development of early EHRs improved the fit between the software and the organization, users, and care processes.
“The decades-long, iterative development process that these early EHRs went through improved the fit between the software and the organization, the users, and the care processes.”
The paper relies on this without support.
In the first organizations to use EHRs, software designers knew the organization, the users, and the care processes the EHR was meant to support.
“In the first organizations to use EHRs, software designers knew the organization, the EHR's users, and the specific care processes the EHR was meant to support.”
The paper relies on this without support.
Changing a complex EHR after development or implementation is extremely difficult, error-prone, and expensive.
“Changing a software system as complex as an EHR after it has been developed (or implemented) is enormously difficult, error-prone, and expensive.”
The paper relies on this without support.
Local EHR implementation and continuous-improvement teams make many decisions that can create system-safety flaws.
“Local EHR implementation and continuous-improvement teams make many decisions-regarding organizational policies, work processes, and software configurations-that have the potential to create system-safety flaws.”
The paper relies on this without support.
Some EHR flaws originate in the vendor's software creation process, while others come from the customer or from interactions between the EHR and other systems; the distinction is often hard to make.
“Some of these flaws will turn out to be related to the vendor's software creation process; others will have been introduced by the customer or by interactions between the EHR and other health care systems.Often, this distinction will be difficult to make.”
The paper relies on this without support.
A well-designed taxonomy of EHR-related system safety flaws and safety incidents has not yet been developed.
“The clearinghouse should be based on a well-designed taxonomy of EHR-related system safety flaws and safety incidents, which has yet to be developed.”
The paper relies on this without support.
Knowledge about how to develop, implement, and continuously improve EHRs for patient safety is currently limited and inaccessible to most health care organizations.
“Knowledge of how to develop, implement, and continuously improve EHRs for patient safety is currently limited and not accessible to most health care organizations.”
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?
In the citing paper
“However, existing classifications, including AIMS and the ICPS, 18 fall short with respect to computer-related incidents as this source of risk has yet to be systematically examined.20”
From An analysis of computer-related patient safety incidents to inform the development of a classification (2010) · cites this paper as [20]
In the citing paper
“Indeed, incident reporting to facilitate rapid communication of safety flaws and critical events arising from computer use is one of seven steps which have been proposed to improve the safety of healthcare IT. 20”
From An analysis of computer-related patient safety incidents to inform the development of a classification (2010) · cites this paper as [20]
Citations
Cites
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations
GREENHALGH, T., ROBERT, G., MACFARLANE, F., BATE, P., & KYRIAKIDOU, O. (2004) · The Milbank Quarterly · doi:10.1111/j.0887-378x.2004.00325.x · Cited by 7,448
Wall, A. (2000) · British Journal of Healthcare Management · doi:10.12968/bjhc.2000.6.9.19311 · Cited by 5,912
A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.844354 · Cited by 4,195
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159
Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., & Haynes, R. B. (2005) · JAMA · doi:10.1001/jama.293.10.1223 · Cited by 2,936
Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors
Koppel, R. (2005) · JAMA · doi:10.1001/jama.293.10.1197 · Cited by 2,126
Bates, D. W. (1998) · JAMA · doi:10.1001/jama.280.15.1311 · Cited by 2,107
Handbook of Human-Computer Interaction
(1988) · Elsevier eBooks · doi:10.1016/c2009-0-12113-x · Cited by 2,058
Work system design for patient safety: the SEIPS model
Carayon, P., Schoofs Hundt, A., Karsh, B.-T., Gurses, A. P., Alvarado, C. J., Smith, M., & Flatley Brennan, P. (2006) · Quality in Health Care · doi:10.1136/qshc.2005.015842 · Cited by 1,795
Self-citation
Research works printed but not linked: 1
- 2006, Annals of Internal Medicine, 144, E-12
Cited by
Sorted by citations
Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., & Zhang, J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001458 · Cited by 618
Health IT and Patient Safety: Building Safer Systems for Better Care
Chou, D. (2012) · JAMA · doi:10.1001/jama.308.21.2282-a · Cited by 496
(2013) · Europe PMC (PubMed Central) · Cited by 396
Frequency and Types of Patient-Reported Errors in Electronic Health Record Ambulatory Care Notes
Bell, S. K., Delbanco, T., Elmore, J. G., Fitzgerald, P., Fossa, A. J., Harcourt, K., Leveille, S. G., Payne, T. H., Stametz, R. A., Walker, J., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.5867 · Cited by 242
Self-citationUsing FDA reports to inform a classification for health information technology safety problems
Magrabi, F., Ong, M.-S., Runciman, W., & Coiera, E. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000369 · Cited by 193
Primary Care Physicians’ Use of an Electronic Medical Record System: A Cognitive Task Analysis
Shachak, A., Hadas-Dayagi, M., Ziv, A., & Reis, S. (2009) · Journal of General Internal Medicine · doi:10.1007/s11606-008-0892-6 · Cited by 188
Singh, H., & Sittig, D. F. (2016) · BMJ Quality & Safety · doi:10.1136/bmjqs-2015-004486 · Cited by 167
Holden, R. J. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.12.003 · Cited by 168
Defining Health Information Technology–Related Errors
Sittig, D. F. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.327 · Cited by 167
Magrabi, F., Ong, M.-S., Runciman, W., & Coiera, E. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2009.002444 · Cited by 162
Holden, R. J. (2010) · Cognition Technology & Work · doi:10.1007/s10111-010-0141-8 · Cited by 134
Thomas Craig, K. J., Willis, V. C., Gruen, D., Rhee, K., & Jackson, G. P. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa301 · Cited by 123
ICU nurses' acceptance of electronic health records
Carayon, P., Cartmill, R. S., Blosky, M. A., Brown, R., Hackenberg, M., Hoonakker, P., Hundt, A. S., Norfolk, E. R., Wetterneck, T. B., & Walker, J. M. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2010-000018 · Cited by 122
Self-citationFactors contributing to an increase in duplicate medication order errors after CPOE implementation
Wetterneck, T. B., Walker, J. M., Blosky, M. A., Cartmill, R. S., Hoonakker, P., Johnson, M., Norfolk, E. R., & Carayon, P. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000255 · Cited by 113
Self-citationMagrabi, F., Baker, M., Sinha, I., Ong, M.-S., Harrison, S., Kidd, M. R., Runciman, W. B., & Coiera, E. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.12.003 · Cited by 100
Horsky, J., McColgan, K., Pang, J. E., Melnikas, A., Linder, J. A., Schnipper, J. L., & Blackford Middleton, A. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2010.05.010 · Cited by 76
Safe Electronic Health Record Use Requires a Comprehensive Monitoring and Evaluation Framework
Sittig, D. F. (2010) · JAMA · doi:10.1001/jama.2010.61 · Cited by 76
A comparative review of patient safety initiatives for national health information technology
Magrabi, F., Aarts, J., Nøhr, C. G., Baker, M., Harrison, S., Sylvia Pelayo, A., Talmon, J. L., Sittig, D. F., & Coiera, E. W. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.11.014 · Cited by 74
Kushniruk, A. W., Bates, D. W., Bainbridge, M., Househ, M. S., & Borycki, E. M. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.12.006 · Cited by 78
Saleem, J. J., Russ, A. L., Sanderson, P., Johnson, T. R., Zhang, J., & Sittig, D. F. (2009) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638638 · Cited by 72
Sittig, D. F., Ash, J. S., & Singh, H. (2014) · PubMed · Cited by 74
Automated knowledge acquisition from clinical narrative reports.
Wang, X., Chused, A. E., Elhadad, N., Friedman, C., & Markatou, M. (2008) · PubMed Central · Cited by 68
Goekcimen, K., Schwendimann, R., Pfeiffer, Y., Mohr, G., Jaeger, C., & Mueller, S. M. (2022) · Journal of Patient Safety · doi:10.1097/pts.0000000000001072 · Cited by 81
Electronic Health Records and Improved Patient Care: Opportunities for Applied Psychology
Ratwani, R. M. (2017) · Current Directions in Psychological Science · doi:10.1177/0963721417700691 · Cited by 70
Mozaffar, H., Cresswell, K. M., Williams, R., Bates, D. W., & Sheikh, A. (2017) · BMJ Quality & Safety · doi:10.1136/bmjqs-2016-005879 · Cited by 62
Collins, S. A., & Vawdrey, D. K. (2012) · Applied Nursing Research · doi:10.1016/j.apnr.2011.06.002 · Cited by 50
Martin, G., Ghafur, S., Cingolani, I., Symons, J., King, D., Arora, S., & Darzi, A. W. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30057-3 · Cited by 51
Screening Electronic Health Record–Related Patient Safety Reports Using Machine Learning
Marella, W. M., Sparnon, E., & Finley, E. (2014) · Journal of Patient Safety · doi:10.1097/pts.0000000000000104 · Cited by 50
Bowles, K. H., Adelsberger, M. C., Chittams, J. L., Liao, C., & SOCKOLOW, P. S. (2014) · Applied Clinical Informatics · doi:10.4338/aci-2013-12-ra-0106 · Cited by 45
Magrabi, F., Ong, M.-S., Runciman, W. B., & Coiera, E. W. (2011) · PubMed Central · Cited by 48
EHR‐related medication errors in two ICUs
Carayon, P., Du, S., Brown, R., Cartmill, R. S., Johnson, M., & Wetterneck, T. B. (2017) · Journal of Healthcare Risk Management · doi:10.1002/jhrm.21259 · Cited by 43
Self-citationRuss, A. L., Saleem, J. J., Justice, C. F., Woodward-Hagg, H., Woodbridge, P. A., & Doebbeling, B. N. (2010) · Health Informatics Journal · doi:10.1177/1460458210365981 · Cited by 44
Creating an Oversight Infrastructure for Electronic Health Record–Related Patient Safety Hazards
Singh, H., Classen, D. C., & Sittig, D. F. (2011) · Journal of Patient Safety · doi:10.1097/pts.0b013e31823d8df0 · Cited by 48
Understanding e-government research
Muñoz, L. A., & Bolívar, M. P. R. (2015) · Internet Research · doi:10.1108/intr-12-2013-0259 · Cited by 40
Impact of Heath Information Technology on the Quality of Patient Care.
Hessels, A., Flynn, L. T., Cimiotti, J. P., Henry, S. B., & Gershon, R. (2015) · PubMed · Cited by 33
Jeskey, M., Card, E., Nelson, D., Mercaldo, N. D., Sanders, N. W., Higgins, M. S., Shi, Y., Michaels, D. R., & Miller, A. (2011) · Journal of Nursing Management · doi:10.1111/j.1365-2834.2011.01295.x · Cited by 31
Effects of Electronic Health Information Technology Implementation on Nursing Home Resident Outcomes
Pillemer, K. A., Meador, R., Teresi, J. A., Chen, E. K., Henderson, C., Lachs, M. S., Boratgis, G. D., Silver, S. A., & Eimicke, J. P. (2011) · Journal of Aging and Health · doi:10.1177/0898264311408899 · Cited by 31
Comparing usability testing outcomes and functions of six electronic nursing record systems
Cho, I., Kim, E., Choi, W. H., & Staggers, N. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.01.007 · Cited by 31
Borycki, E. M., Carayon, P., Jaspers, M., Sylvia Pelayo, A., & Beuscart-Zéphir, M.-C. (2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638835 · Cited by 32
Self-citationHealth Information Technologies: Which Nursing Homes Adopted Them?
Zhang, N., Lu, S. F., Xu, B., Wu, B., Rodríguez-Monguió, R., & Gurwitz, J. H. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.02.028 · Cited by 31
Sepehri, K., Holsti, L., Niasati, S., Chan, V., & MacLean, K. E. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581459 · Cited by 27
Rights and responsibilities of users of electronic health records
Sittig, D. F., & Singh, H. (2012) · Canadian Medical Association Journal · doi:10.1503/cmaj.111599 · Cited by 30
Effect of an electronic medication administration record application on patient safety
Oliveros, N. V., Gramage, T., Menéndez-Conde, C. P., et al. (2017) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12753 · Cited by 27
Resilient practices in maintaining safety of health information technologies
Smith, M. W., Ash, J. S., Sittig, D. F., & Singh, H. (2014) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343414534242 · Cited by 26
“Vast numbers of the facilities now adopting HIT lack experience with and/or resources for safety assessment and management of HIT systems (Walker et al., 2008).”
BackgroundInfluentialDecision Support and Patient Safety
Plebani, M., Aita, A., Padoan, A., & Sciacovelli, L. (2019) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2019.01.003 · Cited by 26
The Effects of Information Technology on Perioperative Nursing
Sweeney, P. (2010) · AORN Journal · doi:10.1016/j.aorn.2010.02.016 · Cited by 25
Martin, P. M., & Sbaffi, L. (2019) · Health Informatics Journal · doi:10.1177/1460458219895184 · Cited by 24
Meaningful Use and Certification of Health Information Technology: What about Safety?
Hoffman, S., & Podgurski, A. (2011) · The Journal of Law Medicine & Ethics · doi:10.1111/j.1748-720x.2011.00572.x · Cited by 21
Horsky, J., & Ramelson, H. Z. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.10.004 · Cited by 21
HIPAA Privacy Rule compliance: An interpretive study using Norman’s action theory
Liginlal, D., Sim, I., Khansa, L., & Fearn, P. (2011) · Computers & Security · doi:10.1016/j.cose.2011.12.002 · Cited by 18
Development of Mobile Electronic Health Records Application in a Secondary General Hospital in Korea
Choi, W., Park, M. A., Hong, E. S., et al. (2013) · Healthcare Informatics Research · doi:10.4258/hir.2013.19.4.307 · Cited by 20
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
Thayer, J. G., Miller, J. M., Fiks, A. G., Tague, L., & Grundmeier, R. W. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1683985 · Cited by 14
Health IT for Patient Safety and Improving the Safety of Health IT
Magrabi, F., Mei-Sing, O., & Coiera, E. W. (2016) · Studies in health technology and informatics · doi:10.3233/978-1-61499-635-4-25 · Cited by 16
Lau, A. Y. S., Tsafnat, G., Sintchenko, V., Magrabi, F., & Coiera, E. W. (2009) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638644 · Cited by 13
Kargul, G. J., Wright, S. M., Knight, A. M., McNichol, M., & RIGGIO, J. M. (2012) · American Journal of Medical Quality · doi:10.1177/1062860612445307 · Cited by 13
Pfeiffer, Y., Zimmermann, C., & Schwappach, D. L. B. (2020) · Journal of Patient Safety · doi:10.1097/pts.0000000000000640 · Cited by 12
Moving towards efficient, safe, and meaningful healthcare: issues for automation
Falan, S., & Han, B. T. (2011) · International Journal of Electronic Healthcare · doi:10.1504/ijeh.2011.039060 · Cited by 11
Kennedy, B. P., Kerns, E. K., Chan, Y., Chaparro, B. S., & Fouquet, S. D. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1681073 · Cited by 9
Liu, T., Liang, L., Che, C., Liu, Y., & Jin, B. (2025) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2025.104826 · Cited by 11
Inter-structure and intra-semantics graph contrastive learning for disease prediction
Kang, Y., Zheng, J., Yang, M., & An, N. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112059 · Cited by 9
Sujan, M. A. (2018) · BMJ Health & Care Informatics · doi:10.14236/jhi.v25i1.952 · Cited by 8
Wang, T., Wang, Y., & Moczygemba, J. (2014) · The Health Care Manager · doi:10.1097/01.hcm.0000440624.85255.8e · Cited by 8
(2010) · doi:10.1056/nejmc1010028 · Cited by 8
Decision support and patient safety: the time has come
Hasley, S. K. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2010.10.901 · Cited by 7
A continuous usability evaluation of an electronic medication administration record application
Oliveros, N. V., Gramage, T., Menéndez-Conde, C. P., Álvarez‐Díaz, A. M., Martín‐Aragón, S., Vicedo, T. B., & Silveira, E. D. (2017) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12808 · Cited by 7
Yuan, M., Powell, G. A., Lavigne, M., Okhmatovskaia, A., & Buckeridge, D. L. (2017) · PubMed Central · Cited by 7
Pruitt, Z. M., Howe, J. L., Bocknek, L. S., Milicia, A. P., Spaar, P. A., Krevat, S. A., & Ratwani, R. M. (2023) · Patient Safety · doi:10.33940/001c.77769 · Cited by 6
Defining Health Information Technology-Related Errors
Singh, H. (2013) · Apple Academic Press eBooks · doi:10.1201/b16306-6 · Cited by 6
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
Ergonomics in Healthcare and Patient Safety
(2014) · Journal of Ergonomics · doi:10.4172/2165-7556.1000e126 · Cited by 5
Taylor, L., Wood, S. D., & Chapman, R. J. (2012) · doi:10.1518/hcs-2012.945289401.001 · Cited by 5
Integration of multiple health information systems for quality improvement of radiologic care
Wang, K., Zwart, C. M., Wellnitz, C. V., et al. (2017) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2017.1329241 · Cited by 5
Varying rates of patient identity verification when using computerized provider order entry
Fortman, E., Hettinger, A. Z., Howe, J. L., Fong, A., Pruitt, Z. M., Miller, K. M., & Ratwani, R. M. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa047 · Cited by 5
Healthcare Workers' Perceptions of Information in the Electronic Health Record
Russ, A. L., Saleem, J. J., Justice, C. F., Woodward-Hagg, H., Woodbridge, P. A., & Doebbeling, B. N. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905301101 · Cited by 6
AlHussainan, A., & Alhuwail, D. (2025) · JMIR Medical Informatics · doi:10.2196/70782 · Cited by 4
Privacy Issues with the Electronic Medical Record
Aselton, P., & Affenito, S. G. (2014) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · Cited by 4
Integrating People, Process, and Technology in Lean Healthcare.
Husby, B. (2012) · Deep Blue (University of Michigan) · Cited by 4
Altabbaa, G., Flemons, W. W., Ocampo, W., et al. (2024) · BMJ Open Quality · doi:10.1136/bmjoq-2023-002574 · Cited by 3
Evidence-based validation and improvement of electronic health record systems
Podgurski, A. (2010) · FSE/SDP Workshop on Future of Software Engineering Research (FoSER) · doi:10.1145/1882362.1882422 · Cited by 3
Sittig, D. F., Longhurst, C., Russo, E. M., & Singh, H. (2015) · Health informatics · doi:10.1007/978-3-319-20765-0_2 · Cited by 3
Interfacing and integrating digital technologies in the electronic health record
Egarhos, N. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00077-0 · Cited by 4
Heath, M. L., & Appan, R. (2014) · Journal of the Association for Information Systems · Cited by 3
Securing e-Healthcare Information
Shoniregun, C. A., Dube, K., & Mtenzi, F. J. (2010) · Advances in information security · doi:10.1007/978-0-387-84919-5_2 · Cited by 3
Efectividad de la evaluación de historias clínicas informatizadas en un hospital universitario
González, A. C., Durán, X. P., & Lozano-Rubí, R. (2017) · Revista de Calidad Asistencial · doi:10.1016/j.cali.2017.09.004 · Cited by 3
Malfunction Transparency in Clinical Decision Support Systems: A Classification Approach
Jones, R. W., Mateer, J. E., & Harrison, M. J. (2019) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2019.8834049 · Cited by 3
Beyond Electronic Health Record Adoption
Krawiec, C. (2019) · Methods of Information in Medicine · doi:10.1055/s-0040-1709148 · Cited by 2
Sutton, R. T., Dhillon-Chattha, P., Kumagai, J. K., et al. (2023) · Applied Clinical Informatics · doi:10.1055/s-0043-1771392 · Cited by 2
Alomair, R. A., & Pasha, S. A. (2024) · Open Access Public Health and Health Administration Review · doi:10.59644/oaphhar.2(2).97 · Cited by 2
Bozan, K., & Datta, P. M. (2016) · Healthcare delivery in the information age · doi:10.1007/978-3-319-25973-4_7 · Cited by 2
Impact of health information technology on delivery and quality of patient care
Hessels, A. (2014) · 42nd Biennial Convention (16 November - 20 November 2013) · doi:10.7282/t3f769t9 · Cited by 2
An Overview of HIT-Related Errors
Magrabi, F., Ong, M., & Coiera, E. W. (2016) · Springer eBooks · doi:10.1007/978-3-319-31123-4_2 · Cited by 2
Bozan, K. (2014) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 1
CancelRx case study: implications for clinic and community pharmacy work systems
Watterson, T. L., Stone, J. A., Kleinschmidt, P. C., & Chui, M. A. (2023) · BMC Health Services Research · doi:10.21203/rs.3.rs-2859918/v1 · Cited by 2
Quality, Safety, and the Electronic Medical Record
Smith, C. T., & Jackson, G. P. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7901-8_5 · Cited by 1
Avoiding Adverse Consequences of E-Health
O’Hanlon, S. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-2657-7.ch002 · Cited by 1
Health Information Technologies: Which Nursing Homes Adopted Them?Preprint
Zhang, N., Lu, S. F., Xu, B., et al. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2737195 · Cited by 1
Biomedical Data, Knowledge, and Systems in Context
Kalet, I. J. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416019-4.00006-8
Metadata
- Authors
- Walker, J. M., Carayon, P., Leveson, N., Paulus, R. A., Tooker, J., Chin, H., Bothe, A., & Stewart, W. F.
- Affiliations
- Geisinger Health System (US)
- University of Wisconsin System (US)
- Massachusetts Institute of Technology (US)
- American College of Physicians (US)
- Kaiser Permanente (US)
- Geisinger Medical Center (US)
- Corresponding author
- Walker, J. M.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-05-01
- Volume
- 15
- Issue
- 3
- Pages
- 272-277
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC2409999
- OpenAlex
- W30038292
- Semantic Scholar
- e79e16206458fd09a10c7cd9fb2a73a9d5dfa8f9
- Cited by
- 113
- References
- 52
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 7 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 10 · 2018: 1 · 2017: 8 · 2016: 6 · 2015: 8 · 2014: 11 · 2013: 8 · 2012: 7
- FWCI
- 24.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- electronic health records, patient safety, EHR design, EHR implementation, healthcare process improvement, human factors engineering, software safety, safety testing, safety reporting, incident communication, small hospitals, physician practice, quality of care
- MeSH terms
- Humans, Safety, Software, Medical Records Systems, Computerized, Medical Errors
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.
A language model drew the claims from the paper on 2026-10-07, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-07 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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