The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
Open accessAbstract
BACKGROUND: Conceptual models have been developed to address challenges inherent in studying health information technology (HIT). METHOD: This manuscript introduces an eight-dimensional model specifically designed to address the sociotechnical challenges involved in design, development, implementation, use and evaluation of HIT within complex adaptive healthcare systems. DISCUSSION: The eight dimensions are not independent, sequential or hierarchical, but rather are interdependent and inter-related concepts similar to compositions of other complex adaptive systems. Hardware and software computing infrastructure refers to equipment and software used to power, support and operate clinical applications and devices. Clinical content refers to textual or numeric data and images that constitute the 'language' of clinical applications. The human--computer interface includes all aspects of the computer that users can see, touch or hear as they interact with it. People refers to everyone who interacts in some way with the system, from developer to end user, including potential patient-users. Workflow and communication are the processes or steps involved in ensuring that patient care tasks are carried out effectively. Two additional dimensions of the model are internal organisational features (eg, policies, procedures and culture) and external rules and regulations, both of which may facilitate or constrain many aspects of the preceding dimensions. The final dimension is measurement and monitoring, which refers to the process of measuring and evaluating both intended and unintended consequences of HIT implementation and use. We illustrate how our model has been successfully applied in real-world complex adaptive settings to understand and improve HIT applications at various stages of development and implementation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Digitisation redistributes responsibility across human and technical actors.”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Digital systems frequently mediate clinical work in ways that reduce direct visibility of system state and process integrity.”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This diffusion complicates accountability and can create gaps in oversight, particularly when responsibilities for monitoring, escalation, and remediation are not clearly defined (13).”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Decisions about information accuracy, timing, and relevance are increasingly mediated by algorithms, system configurations, and interoperability rules that are often opaque to end users (1, 13).”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The interest in trialing ambient AI scribes in the ICU was tempered by concerns about the sociotechnical implications of voice-based AI in team-based, high-risk environments, highlighting the need for careful, context-sensitive implementation [27].”
From Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study (2026) · cites this paper as [27]
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The interview guide was previously developed based on sociotechnical theory and will explore the following key constructs (Table 3): perceptions of usefulness, resource needs and constraints, barriers and facilitators to implementation, culture of safety, and adaptations [13,23].”
From Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool (2023) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A coding framework rooted in the 8 dimensions of sociotechnical theory has been developed along the following codes: hardware and software, clinical content, human-computer interface, people, workflow and communication, internal organizational features, and external rules and regulations [13].”
From Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool (2023) · cites this paper as [13]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Existing approaches, including sociotechnical models and safety frameworks, have provided important insights into the role of system interactions and organisational context (13, 16, 17, 28, 48).”
From Why digital health fails silently: a sociotechnical theory of health information technology–related risk (2026) · cites this paper as [13]
The cited source says what the claim attributes to it.
In the citing paper
“This study is informed by sociotechnical theory, which offers a paradigm for studying health information technology innovations [13].”
From Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool (2023) · cites this paper as [13]
The cited source says what the claim attributes to it.
In the citing paper
“This convergent mixed method approach will allow us to quantify the feasibility and acceptability of the ICU-PAUSE tool while also qualitatively assessing user experiences with the tool using the established implementation frameworks of CFIR and sociotechnical theory [13,14,17].”
From Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool (2023) · cites this paper as [13]
The cited source says what the claim attributes to it.
In the citing paper
“We recognize that user interaction, the EHR interface, institutional workflows, and regulatory policies are all dynamic and interdependent.”
From Improving Communication in Intensive Care Unit to Ward Transitions: Protocol for Multisite National Implementation of the ICU-PAUSE Handoff Tool (2023) · cites this paper as [13]
In the citing paper
“Detecting and preventing EHR-related safety concerns is challenging because concerns are often multifaceted, involving not only potentially unsafe technological features of the EHR but also EHR user behaviors, organizational characteristics, and rules and regulations that guide EHR-related activities.”
From An analysis of electronic health record-related patient safety concerns (2014) · cites this paper as [24]
In the citing paper
“For instance, we previously developed a sociotechnical model that proposes eight interdependent dimensions that are essential to understand EHR-related safety (table 1; Sittig and Singh model).24 34”
From An analysis of electronic health record-related patient safety concerns (2014) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Hutchins, E. (1995) · doi:10.7551/mitpress/1881.001.0001 · Cited by 10,801
Human error: models and management
Reason, J. (2000) · BMJ · doi:10.1136/bmj.320.7237.768 · Cited by 5,665
Designing the user interface: Strategies for effective human-computer interaction
(1993) · Applied Ergonomics · doi:10.1016/0003-6870(93)90471-k · Cited by 5,592
The Psychology of Everyday Things
Massaro, D. W., & Norman, D. A. (1990) · The American Journal of Psychology · doi:10.2307/1423268 · Cited by 3,484
Risk management in a dynamic society: a modelling problem
Rasmussen, J. (1997) · Safety Science · doi:10.1016/s0925-7535(97)00052-0 · Cited by 2,994
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Diffusion of Innovations, 5th Edition
Rogers, E. M., Simon, 。., & Schuster (2003) · Cited by 2,049
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 · cited 1×
“Third, Carayon's Systems Engineering Initiative for Patient Safety model”
Research works printed but not linked: 1
- [36]Sittig DF Wright A Simonaitis L Carpenter JD Allen GO Doebbeling BN Sirajuddin AM Ash JS Middleton B The state of the art in clinical knowledge management: an inventory of tools and techniques Int J Med Inform 2010 Jan 79 1 44 57 19828364 PMC2895508
Cited by
Sorted by citations
Items 501–600 of 892
Recommender Systems in Healthcare: A Socio-Technical Systems Approach
Kwiatkowska, M. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-66450-3_2 · Cited by 3
Tung, T., DeLaurentis, P.-C. C., Sinner, J. A., Scanlon, M. C., & Yih, Y. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01784-x · Cited by 3
Haas, C. B., Ralston, J. D., Fullerton, S. M., Scrol, A., & Henrikson, N. B. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.886650 · Cited by 3
Fong, A., Bonk, C., Vasilchenko, V., De, S., Kovich, D., & Wyeth, J. (2022) · Frontiers in Drug Safety and Regulation · doi:10.3389/fdsfr.2022.1021068 · Cited by 3
Investigating the influence of artificial intelligence on quality management in healthcare centers
Aljarallah, N. A. (2023) · F1000Research · doi:10.12688/f1000research.128739.1 · Cited by 3
Lentz, T. A., Stephens, B. F., Abtahi, A. M., Schwarz, J. P., Schoenfeld, A. J., Rhoten, B. A., Block, S., O'Brien, A. T., & Archer, K. R. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02234-z · Cited by 4
Wankhede, D. S., Mishra, V., Karnik, M. P., Kekane, A., & Shukla, A. (2023) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat59970.2023.10353516 · Cited by 5
Recsky, C., Rush, K. L., MacPhee, M., Stowe, M., Blackburn, L., Muniak, A., & Currie, L. M. (2024) · JMIR Formative Research · doi:10.2196/53302 · Cited by 7
A Comprehensive Review of Affordance Theory in Enhancing Digital Health Solutions
Liu, Z., & Choi, A. Y. (2024) · Technium Romanian Journal of Applied Sciences and Technology · doi:10.47577/technium.v19i.10653 · Cited by 3
Dougherty, K., Gebremariam, A., Biza, H., Belew, M. L., Benda, N. C., Tesfaye, Y. A., Cranmer, J. N., & Henry, S. B. (2024) · JMIR Formative Research · doi:10.2196/59690 · Cited by 3
Yarahuan, J. K., Kandaswamy, S., Ray, E., Leroux, R., Liang, W. H., Orenstein, E. W., & Stokes, C. L. (2025) · Applied Clinical Informatics · doi:10.1055/a-2540-2349 · Cited by 3
Moore, C. (2018) · Springer eBooks · doi:10.1007/978-3-319-71812-5_34 · Cited by 4
Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
Chaudhry, A. P., Samudrala, S. K., López-Jiménez, F. A., Shellum, J. L., Nishimura, R. A., Chaudhry, R., Liu, H., & Arruda-Olson, A. M. (2019) · Mayo Clinic Proceedings Innovations Quality & Outcomes · doi:10.1016/j.mayocpiqo.2018.12.008 · Cited by 3
Rinke, M. L., Bundy, D. G., Lehmann, C. U., Heo, M., Adelman, J. S., Norton, A., & Singh, H. (2019) · Pediatric Quality and Safety · doi:10.1097/pq9.0000000000000218 · Cited by 3
Self-citationSosiaali- ja terveydenhuollon tietojärjestelmäkehittäjien kokemuksia yhteistyöstä käyttäjien kanssa
Rytkönen, J., Kinnunen, U., & Martikainen, S. (2022) · Finnish Journal of eHealth and eWelfare · doi:10.23996/fjhw.109908 · Cited by 3
Sittig, D. F., & Wright, A. (2022) · Applied Clinical Informatics · doi:10.1055/a-2018-9932 · Cited by 3
Self-citationCognitive Behavior and Clinical Workflows
Horsky, J. (2019) · Health informatics · doi:10.1007/978-3-030-16916-9_2 · Cited by 3
Toward Electronic Medical Record Alerts That Consume Less Physician Time—Reply
Singh, H., & Sittig, D. F. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.9317 · Cited by 3
Self-citationInformatics grand challenges in multi-institutional comparative effectiveness research
Sittig, D. F., & Hazlehurst, B. L. (2012) · Journal of Comparative Effectiveness Research · doi:10.2217/cer.12.48 · Cited by 3
Self-citationSepúlveda, M.-J. (2019) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000001572 · Cited by 3
Kapalo, K. A., Bonnell, J. A., & LaViola, J. J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60152-2_11 · Cited by 2
Shinn, E. H., Garden, A. S., Peterson, S. K., Leupi, D. J., Chen, M., Blau, R., Becerra, L. L., Rafeedi, T., Ramírez, J., Rodriquez, D., et al. (2023) · JMIR Cancer · doi:10.2196/47359 · Cited by 2
Williams, A. M., Davis, C. L., Bjoring, M. C., Blackstone, K., Barros, A. J., & Enfield, K. B. (2024) · ACI Open · doi:10.1055/s-0044-1782604 · Cited by 2
Periyasamy, M. (2025) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs65191.2025.10984664 · Cited by 2
Workplace affordances for learning in rural primary care
Sjöström, T., Svensson, A., Karlsson, M., & Sorbring, E. (2025) · Journal of Workplace Learning · doi:10.1108/jwl-03-2025-0071 · Cited by 3
Mazurenko, O., Apathy, N. C., Sanner, L. M., McCord, E., Adams, M. C. B., Hurley, R. W., Grout, R. W., Mamlin, B. W., Erazo, S. F., Blackburn, J. L., et al. (2025) · Applied Clinical Informatics · doi:10.1055/a-2639-4974 · Cited by 2
A nursing perspective on human-AI collaboration in personalized breast cancer care pathways
Zhang, J., Zhao, X., Tao, J.-H., & Su, D.-C. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1784401 · Cited by 2
Human AI trust modeling in cognitive systems via ensemble learning and advanced feature engineering
Ramamurthy, K., Gumber, S., Abdelfattah, W. M., Khan, N. A., Mushtaq, Z., & Siddique, I. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01255-7 · Cited by 19
Extending the Fundamental Theorem of Biomedical Informatics for the AI era
Payne, P., Chen, J. H., & Longhurst, C. (2026) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocag065 · Cited by 2
Ramos, F., dos Santos, A. M. P., Rocha, T., Petronilho, F. A. S., & Pereira, R. P. G. (2026) · Systems · doi:10.3390/systems14070764 · Cited by 3
Alqheedan, A., & Alzughaibi, S. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1882814 · Cited by 2
Zhao, Y., Miao, Y., Guo, R., Luo, Y., Wang, H., & Wu, Y. X. (2026) · Journal of Medical Internet Research · doi:10.2196/90046 · Cited by 2
Ontologies for Quantified Self: a Semantic Approach
Cena, F., Likavec, S., Rapp, A., Deplano, M., & Marcengo, A. (2014) · Institutional Research Information System University of Turin (University of Turin) · Cited by 2
Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8
Jamieson, T., Mamdani, M., & Etchells, E. E. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1693456 · Cited by 2
Giménez, C., Rabinovich, D., Colussi, G., Otero, C. M., Plazzotta, F., Benítez, S., & Luna, D. R. (2021) · Revista del Hospital Italiano de Buenos Aires · doi:10.51987/revhospitalbaires.v41i2.84 · Cited by 2
Sugihara, T., Kanehira, T., Suzuki, M., & Araki, K. (2021) · Informatics for Health and Social Care · doi:10.1080/17538157.2021.1966015 · Cited by 2
Siddiqui, S., Farr, E. M., Dusto, N., Chen, L., Kocherginsky, M., Skelton, F., Verduzco‐Gutierrez, M., & Lee, S. (2022) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2022.0030 · Cited by 2
Swirsky, E. S., Boyd, A. D., Gu, C., Burke, L., Doorenbos, A. Z., Ezenwa, M. O., Knisely, M. R., Leigh, J. W., Li, H., Mandernach, M. W., et al. (2023) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2023.101218 · Cited by 2
Penerapan Sistem Informasi Manajemen Rumah Sakit di RSUD Dr. Sam Ratulangi Tondano
Tangel, P. T., Manampiring, A. E., & Kapantow, N. H. (2023) · e-CliniC · doi:10.35790/ecl.v12i2.52755 · Cited by 2
Characterization of Safety Events Involving Technology in Primary and Community Care
Recsky, C., Stowe, M., Rush, K. L., MacPhee, M., Blackburn, L., Muniak, A., & Currie, L. M. (2023) · Applied Clinical Informatics · doi:10.1055/s-0043-1777454 · Cited by 2
The Accuracy Data of the Toddlers' Nutritional Status using the "PSG Balita" App
Sofyan, H., Usman, S., Usman, S., & Mudatsir (2024) · Journal of Liaquat University of Medical & Health Sciences · doi:10.22442/jlumhs.2024.01130 · Cited by 2
Transforming Clinical Workflows with Artificial Intelligence (AI)-Based Technologies
Fu, P. C. (2025) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-82971-0_3 · Cited by 2
Critical Limitations in Systematic Reviews of Large Language Models in Health Care
Weizman, Z. (2025) · Journal of Medical Internet Research · doi:10.2196/81769 · Cited by 2
Agrawal, A. (2016) · Springer eBooks · doi:10.1007/978-3-319-31123-4 · Cited by 2
First Do No Harm: An Overview of HIT and Patient Safety
Agrawal, A. (2016) · Springer eBooks · doi:10.1007/978-3-319-31123-4_1 · Cited by 2
Informing physicians using a situated decision support system: Disease management for the smart city
Saadé, R. G., Vahidov, R. M., Tsoukas, G. M., & Tsoukas, A. (2014) · Knowledge Management & E-Learning An International Journal · doi:10.34105/j.kmel.2014.06.032 · Cited by 2
Roehrer, E., Bjørnes, C. D., Cummings, E. A., & Nøhr, C. G. (2014) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2014.064245 · Cited by 2
Analysis of Medical Device Recalls Owing to Output Information from Software
Kitawaki, R., Umezu, M., Iwasaki, K., & Kasanuki, H. (2016) · doi:10.14982/rsmp.6.281 · Cited by 2
Upadhyay, S., Opoku-Agyeman, W., McCaughey, D., & Burke, D. E. (2017) · European Scientific Journal ESJ · doi:10.19044/esj.2017.v13n36p36 · Cited by 2
Thangeda, A. R., & Coleman, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58817-5_19 · Cited by 2
Hassan, M. U., Nawaz, H., & Faiz, A. U. H. (2021) · Humanities & Social Sciences Reviews · doi:10.18510/hssr.2021.9397 · Cited by 2
Risk assessment for health insurance using equation modeling and machine learning
Singh, A., & Ramkumar, K. R. (2021) · International Journal of Knowledge-based and Intelligent Engineering Systems · doi:10.3233/kes-210065 · Cited by 2
Friedman, C. P., Wyatt, J. C., & Ash, J. S. (2022) · Health informatics · doi:10.1007/978-3-030-86453-8_17 · Cited by 2
SHACL-Based Report Quality Evaluation for Health IT-Induced Medication Errors
Keuchel, D., Spicher, N., Wang, J., Völcker, M., Gong, Y., & Deserno, T. M. (2022) · Studies in health technology and informatics · doi:10.3233/shti220108 · Cited by 2
The Role of Human and Organizational Factors in the Pursuit of One Digital Health
Kuziemsky, C. E. (2023) · Yearbook of Medical Informatics · doi:10.1055/s-0043-1768724 · Cited by 2
Medical Informatics: A Systematic review on Health and Medical Information Systems
Nelson, S., & Dimililer, K. (2023) · Innovations in Intelligent Systems and Applications Conference (ASYU) · doi:10.1109/asyu58738.2023.10296681 · Cited by 2
Integrated Care: The Way Forward for Advanced Nurse Practitioners by Using Strategy Initiatives
Carney, M. (2024) · International Journal of Nursing and Health Care Research · doi:10.29011/2688-9501.101493 · Cited by 2
Human factor approaches to understand health information technology impacts on patient safety
Fong, A., Hettinger, A. Z., Miller, K., & Ratwani, R. M. (2019) · Clinical Engineering Handbook · doi:10.1016/b978-0-12-813467-2.00126-7 · Cited by 2
Douthit, B. J., Staes, C. J., Fiol, G. D., & Richesson, R. (2021) · JAMIA Open · doi:10.1093/jamiaopen/ooab031 · Cited by 2
Socio-Technical Systems on the Move
Occelli, S. (2015) · Advances in civil and industrial engineering book series · doi:10.4018/978-1-4666-8150-7.ch004 · Cited by 2
Is There Value in Medical Home Implementation Beyond the Electronic Health Record?
Reid, R. J., & Parchman, M. L. (2014) · Annals of Internal Medicine · doi:10.7326/m14-0863 · Cited by 2
Scott, P., Andrikopoulou, E., Nakkas, H., & Roderick, P. J. (2020) · medRxiv · doi:10.1101/2020.08.13.20174276 · Cited by 2
Frameworks for Evaluating the Impact of Safety Technology Use
Cho, I. (2023) · Healthcare Informatics Research · doi:10.4258/hir.2023.29.2.89 · Cited by 2
Advancing the Science of Electronic Health Record Transitions
Weiner, M., Rinne, S. T., Haggstrom, D. A., & Yano, E. M. (2023) · Journal of General Internal Medicine · doi:10.1007/s11606-023-08333-x · Cited by 2
The AI Moonshot: What We Need and What We Do Not
Rodríguez, J. E., & Lussier, Y. A. (2025) · The Annals of Family Medicine · doi:10.1370/afm.240602 · Cited by 2
Castro, G. M. (2014) · ProQuest Demo Repository · Cited by 2
Occelli, S., & Scelfo, B. (2020) · RePEc: Research Papers in Economics · doi:10.4018/ijepr.2020040103 · Cited by 1
Preparing for the Improving Medicare Post-Acute Care Transformation Act
SOCKOLOW, P. S., & Yang, Y. (2021) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000782 · Cited by 1
Or, C. K. (2019) · IGI Global eBooks · doi:10.4018/978-1-7998-1204-3.ch064 · Cited by 1
Electronic Health Record Usage in an Academic Orthopaedic Sports Medicine Practice
Como, C. J., Flanagan, M. R., Cong, T., Como, M., Hughes, J. D., Rabuck, S. J., Lesniak, B. P., & Lin, A. (2023) · Journal of Orthopaedic Experience & Innovation · doi:10.60118/001c.82078 · Cited by 1
Palakshappa, J. A., Hale, E. R., Brown, J., Kittel, C., Dressler, E. V. M., Rosenthal, G. E., Cutrona, S. L., Foley, K. L., Haines, E. R., & Houston, T. K. (2024) · Journal of Medical Internet Research · doi:10.2196/54008 · Cited by 1
Corwin, D. J., Godfrey, M., Arbogast, K. B., Zorc, J. J., Wiebe, D. J., Michel, J. J., Barnett, I., Stenger, K. M., Calandra, L. M., Cobb, J., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-082644 · Cited by 1
Long, Q., Mu, D., Siu, K. W. M., & Peissel, J. R. (2024) · Strategic Design Research Journal · doi:10.4013/sdrj.2023.161.12 · Cited by 1
Design of a clinical balance tool for fall risk assessments: A development and usability study
Garvin, J. H., Yazzie, V. M., Katsuyama, N. A., Rudloff, T., Worthen‐Chaudhari, L., & Chaudhari, A. M. W. (2025) · PLoS ONE · doi:10.1371/journal.pone.0302080 · Cited by 1
Savoy, A., Weaver, F. M., Patel, H., Taylor, A. C., Govier, D. J., & Hynes, D. M. (2025) · Journal of General Internal Medicine · doi:10.1007/s11606-025-09450-5 · Cited by 1
Cognitive Support for Decisions in the Context of Clinical Workflows
Horsky, J. (2025) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-82971-0_2 · Cited by 1
Michel, J. J., Karavite, D., White, D., Mudenge, N. U., Dawson-Hahn, E. E., & Yun, K. (2025) · Applied Clinical Informatics · doi:10.1055/a-2594-3633 · Cited by 1
PROVENZANO, A. M., Syed, F., Platt, J. E., Piatt, G., Ackerman, M. S., Büyüktür, A. G., & Klinkman, M. S. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12821-7 · Cited by 1
Improving Alarm Management Practices
Clodfelter, A. D. (2025) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001324 · Cited by 1
McCormack, J. L., Thomas, T. L., Barnes, C., Sanchez, V., Kenzie, E. S., Coury, J., Hatch, B., Weekley, T., Singh, M. A., & Davis, M. M. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf083 · Cited by 1
The risks of telehealth in radiation oncology: challenges and mitigation strategies
Stathakis, S., Papanikolaou, N., Ashford, J., Stephens, J., & LaRose, A. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1595975 · Cited by 1
Li, C., Stringer, M., Patil, V., Mcshinsky, R., Morreall, D. K., Yong, C. M., Rasmussen, K. M., Burningham, Z. R., Tamang, S. R., Menendez, C. S., et al. (2025) · JCO Clinical Cancer Informatics · doi:10.1200/cci-24-00263 · Cited by 1
Thayer, J. G., Jenssen, B. P., Fiks, A. G., Karavite, D., Ramachandran, J., Kelleher, S., Nekrasova, E., Drehmer, J. E., Nabi-Burza, E., Winickoff, J. P., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/75198 · Cited by 1
Bertrand, Y., Lachance, S., & Motulsky, A. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.106185 · Cited by 1
Rahim, S. H., Davoody, N., & Bonacina, S. (2025) · JMIR Human Factors · doi:10.2196/82691 · Cited by 1
AI Systems for Physicians: A Review from Socio-technical and Human-Computer Interaction Perspectives
Young, J. W., & Nah, F. F. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-13167-6_12 · Cited by 1
Choosing between virtual and in-person family physician care: a qualitative study
Ryan, B. L., Brown, J. B., Freeman, T. R., daSilva, M., Wilson, H., Ashcroft, R., & Terry, A. L. (2025) · Family Practice · doi:10.1093/fampra/cmaf108 · Cited by 1
Raghupathi, W. (2026) · Algorithms · doi:10.3390/a19010063 · Cited by 2
David-Olawade, A. C., Oguntola, B. O., Olawade, D. B., Bello, O. J., Olawuyi, O. F., & Wada, O. Z. (2026) · Intelligent Hospital · doi:10.1016/j.inhs.2026.100050 · Cited by 1
Martínez-Gutiérrez, J., Somasundaram, K., Bernardes, C. M., Rafiq, M., Schrader, S., Jordan, S. J., Chima, S., Mendonca, L. D., Huckvale, K., Hunter, B., et al. (2026) · JMIR Formative Research · doi:10.2196/79209 · Cited by 1
Mathais, Q., Cungi, P., Lamblin, A., Dubourg, O., Bordes, J., & Boussen, S. (2026) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0000000000004973 · Cited by 3
Ruijs, N., Pluyter, J. R., Chen, L.-L., & Funk, M. (2026) · ACM Transactions on Computing for Healthcare · doi:10.1145/3803858 · Cited by 1
Kubota, K., Tsuda, S., & Kubota, A. (2026) · Applied Sciences · doi:10.3390/app16073383 · Cited by 1
From Concept to Practice: Lessons From the Balanced Nursing Teams Decision-Support System
Vleminckx, S., Bogaert, P. V., Keyser, W. D., & Haegdorens, F. (2026) · JMIR Nursing · doi:10.2196/92417 · Cited by 2
Aqtam, I. F., Shouli, M. M., & Alkorom, S. M. M. (2026) · Journal of Nursing Management · doi:10.1155/jonm/2678581 · Cited by 1
Brewster, R., Fuerch, J. H., & Litt, J. S. (2026) · Journal of Perinatology · doi:10.1038/s41372-026-02688-9 · Cited by 1
Dullabh, P., Zott, C., Gauthreaux, N. A., Aronoff, A., Sittig, D. F., & Boxwala, A. A. (2026) · Applied Clinical Informatics · doi:10.1055/a-2843-8762 · Cited by 1
Self-citationRachmani, E., Widiawati, E., Dewi, D. A., Shabbir, S. A. S. S. A., Chen, F.-Y., Kurniadi, A., Anjani, S., Rimawati, E., Yuantari, M. G. C., & Fahmi, A. (2026) · Frontiers in Health Services · doi:10.3389/frhs.2026.1827781 · Cited by 1
Afriyie, E. S., Bonney, R. A., Antwi, L. A.-B., Yeboah, M., & Mensah, K. A. (2026) · Health Informatics Journal · doi:10.1177/14604582261460299 · Cited by 1
Automated Waitlists for Ambulatory Appointment Scheduling: Multisite, Mixed Methods Evaluation
Woodcock, E. W., Profeta, C., & Siegel, M. (2026) · Journal of Medical Internet Research · doi:10.2196/90091 · Cited by 1
Metadata
- Authors
- Sittig, D. F., & Singh, H.
- Affiliations
- Memorial Hermann (US)
- Michael E. DeBakey VA Medical Center (US)
- Corresponding author
- Sittig, D. F.
- Venue
- Quality and Safety in Health Care
- Publisher
- BMJ
- Published
- 2010-10-01
- Volume
- 19
- Issue
- Suppl 3
- Pages
- i68-i74
- ISSN
- 1475-3898 (ISSN-L)
- 1475-3901
- PMC
- PMC3120130
- OpenAlex
- W2110034024
- Cited by
- 897
- References
- 64
- Citations by year
- 2026: 179 · 2025: 91 · 2024: 43 · 2023: 75 · 2022: 58 · 2021: 66 · 2020: 52 · 2019: 70 · 2018: 40 · 2017: 48 · 2016: 41 · 2015: 36 · 2014: 36 · 2013: 34 · 2012: 15
- FWCI
- 36.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- BMJ Quality & Safety (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Health Services Research and Development
- National Institutes of Health
- Agency for Healthcare Research and Quality (R18HS017820)
- VA National Center for Patient Safety
- National Cancer Institute (K23CA125585)
- U.S. National Library of Medicine (R01LM006942, R56LM006942)
- 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
- health information technology, socio-technical model, complex adaptive systems, health care system, clinical workflow, human-machine interaction, organizational culture, health policy and regulation, monitoring and measurement, unintended consequences
- MeSH terms
- Diffusion of Innovation, Health Services Research, Humans, Ergonomics, Medical Informatics, Models, Theoretical, Planning Techniques, Programming Languages, Software Design, User-Computer Interface, Organizational Culture, Organizational Policy, Workflow
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
