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DOI: 10.1055/s-0044-1800744
Human Factors and Organizational Issues in Health Informatics: Review of Recent Developments and Advances

Summary
Objective: In this paper we focus on a review of key articles published in the past two years (2022 and 2023) in the areas of human factors and organizational issues in health informatics.
Methods: We reviewed manuscripts that were published in primary human factors, human factors engineering and health informatics journals. This involved conducting a series of searches using PubMed, Web of Science, and Google Scholar for articles related to human factors in healthcare published in 2022 and 2023.
Results: The range of applications that have been designed and analyzed using human factors approaches has been rapidly expanding, including increased number of articles around topics such as the following: AI in healthcare, patient-centered design, usability of mHealth, organizational issues, and work around ensuring system safety. This includes study of applications designed for use by both patients and health providers applying both qualitative and quantitative approaches to user requirements, user-centered system design and human factors analysis and evaluation.
Conclusion: The importance of human factors is becoming recognized as new forms of health technology appear. A multi-level perspective on human factors, that considers human factors at multiple levels, from the individual user to the complex social and organizational context, was described to consider the range and diversity of human factors approaches in healthcare. Such an approach will be needed to drive the design and evaluation of useful and usable healthcare information technologies.
Publication History
Article published online:
08 April 2025
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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References
- 1 Bailey CR, Shorrock S, Fong K. Human factors and ergonomics. MA Healthcare London;
2023. p. 1-4. doi:10.12968/hmed.2023.0142.
- 2 Keebler JR RM, Sittig DF, Thomas E, Salas E. Human Factors and Ergonomics in Healthcare:
Industry Demands and a Path Forward. Hum Factors. 2022;64(1):250-8.doi:10.1177/00187208211073623
- 3 Kushniruk AW, Borycki EM. Human factors in healthcare IT: Management considerations
and trends. Healthcare Management Forum. 2023;36(2):72-8. doi:10.1177/08404704221139219
- 4 Sujan M PR, Salmon P. Eight human factors and ergonomics principles for healthcare
artificial intelligence. BMJ Health & Care Informatics. 2022;29(1) 9:e100516. doi:10.1136/bmjhci-2021-100516
- 5 Saab MM MM, O'Mahony B, Cooke E, Hegarty J, Murphy D, Walshe N, Noonan B. Virtual
Reality Simulation in Nursing and Midwifery Education: A Usability Study. Comput Inform
Nurs. 2023;41(10):815-24. doi:10.1097/CIN.0000000000001010
- 6 Verkuyl M TK, Job T, O'Keefe-McCarthy S, Atthill S, Goldsworthy S, Atack L. An educator's
toolkit for virtual simulation: A usability study. Nurse Educ Today. 2022;119:105600.
doi.org/10.1016/j.nedt.2022.105600
- 7 Currie H, Harvey A, Bond R, Magee J, Finlay D. Remote synchronous usability testing
of public access defibrillators during social distancing in a pandemic. Scientific
Reports. 2022;12(1):14575. doi:10.1038/s41598-022-18873-7
- 8 Ossowska A KA, Świetlik D. Artificial Intelligence in Dentistry-Narrative Review.
Int J Environ Res Public Health. 2022;19(6):3449. doi:10.3390/ijerph19063449
- 9 You Y LX, Pan Y, Zheng H, Vera J, Liu S, Deng S, Zhang L. Artificial intelligence
in cancer target identification and drug discovery. Signal Transduct Target Ther.
2022;7(1):156. doi:10.1038/s41392-022-00994-0
- 10 Yousif M vDP, Laurinavicius A, Rimm D, van der Laak J, Madabhushi A, Schnitt S, Pantanowitz
L. Artificial intelligence applied to breast pathology. Virchows Arch. 2022;480(1):191-209.
doi:10.1007/s00428-021-03213-3
- 11 Shortliffe EH SM, Patel VL. Framework for the Evaluation of Clinical AI Systems.
Intelligent Systems in Medicine and Health: The Role of AI: Cham: Springer International
Publishing; 2022. p. 479-503. doi:10.1007/978-3-031-09108-7_17
- 12 Scott P KC, Zhu X, Nøhr C, Ammenwerth E, Kukhareva P, Peute L, Marcilly R. One Health:
Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives.
Yearbook of medical informatics. 2023;32(01):076-83. doi:10.1055/s-0043-1768729
- 13 Kuziemsky C. The Role of Human and Organizational Factors in the Pursuit of One Digital
Health. Yearb Med Inform. 2023;32(1):201-9. doi:10.1055/s-0043-1768724
- 14 Carayon P, Hundt AS, Karsh B, Gurses AP, Alvarado C, Smith M, et al. Work system
design for patient safety: the SEIPS model. BMJ Quality & Safety. 2006;15(suppl 1):i50-i8.
doi:10.1136/qshc.2005.015842
- 15 Jakob R HS, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch
T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable
Diseases: Systematic Review. J Med Internet Res. 2022;24(5):e35371. doi:10.2196/35371
- 16 Deniz-Garcia A, Fabelo H, Rodriguez-Almeida AJ, Zamora-Zamorano G, Castro-Fernandez
M, Alberiche Ruano MdP, et al. Quality, usability, and effectiveness of mHealth apps
and the role of artificial intelligence: current scenario and challenges. Journal
of Medical Internet Research. 2023;25:e44030. doi:10.2196/44030
- 17 Zoellner J RA, Porter K, Frederick C, Hilgart M, Ritterband L. Development of a Digital
Behavioral Intervention to Reduce the Consumption of Sugar-Sweetened Beverages Among
Rural Appalachian Adults: Multiphased, Human-Centered Design Approach. JMIR Human
Factors. 2023;10:e41262. doi:10.2196/41262
- 18 Nyberg A SA, Lundell S, Marklund S, Tistad M, Wadell K. Experiences of Using an Electronic
Health Tool Among Health Care Professionals Involved in Chronic Obstructive Pulmonary
Disease Management: Qualitative Analysis. JMIR Human Factors. 2023;10:e43269. doi:10.2196/43269
- 19 van der Meijden SL dHA, Thoral PJ, Steyerberg EW, Kant IM, Cinà G, Arbous MS. Intensive
Care Unit Physicians' Perspectives on Artificial Intelligence–Based Clinical Decision
Support Tools: Preimplementation Survey Study. JMIR human factors. 2023; 5;10:e39114.
doi:10.2196/39114
- 20 Lääveri T VJ. Physicians' Perspectives on EHR Usability: Results from Four Large
Cross-Sectional Surveys from 2010 to 2021. Stud Health Technol Inform. 2023;304:16-20.
doi:10.3233/SHTI230360
- 21 Borycki EM, Kushniruk AW, editors. Health technology, quality and safety in a learning
health system. Healthcare management forum; 2023: SAGE Publications Sage CA: Los Angeles,
CA. doi:10.1177/08404704221139383
- 22 Sittig DF YE, Singh H. Five Strategies for a Safer EHR Modernization Journey. J Gen
Intern Med. 2023;38(Suppl 4):940-2. doi:10.1007/s11606-023-08331-z
- 23 Ramer S. Site-ation pearl growing: methods and librarianship history and theory.
J Med Libr Assoc. 2005;93(3):397-400.
- 24 Gilbert RM. Reimagining digital healthcare with a patient-centric approach: the role
of user experience (UX) research. Frontiers in Digital Health. 2022;4:899976. doi:10.3389/fdgth.2022.899976
- 25 Ammenwerth E, Wilk S, Huang Z. Personalization in mHealth: Innovative informatics
methods to improve patient experience and health outcome. Elsevier; 2023. p. 104523.
doi:10.1016/j.jbi.2023.104523
- 26 Kayser L KA, Duminski E, Jakobsen S, Terp R, Dansholm S, Roeder M, From G. Health
Professionals' eHealth Literacy and System Experience Before and 3 Months After the
Implementation of an Electronic Health Record System: Longitudinal Study. JMIR Hum
Factors. 2022;9(2):e29780. doi:10.2196/29780
- 27 Cheng L SY. Using Clinical Data Visualizations in Electronic Health Record User Interfaces
to Enhance Medical Student Diagnostic Reasoning: Randomized Experiment. JMIR Hum Factors.
2023;10:e38941. doi:10.2196/38941
- 28 Dixit RA, Boxley CL, Samuel S, Mohan V, Ratwani RM, Gold JA. Electronic health record
use issues and diagnostic error: a scoping review and framework. Journal of patient
safety. 2023;19(1):e25-e30. doi:10.1097/PTS.0000000000001081
- 29 Hägglund M, Scandurra I. Usability of the Swedish accessible electronic health record:
qualitative survey study. JMIR human factors. 2022;9(2):e37192. doi:10.2196/37192
- 30 Awad S, Amon K, Baillie A, Loveday T, Baysari MT. Human factors and safety analysis
methods used in the design and redesign of electronic medication management systems:
A systematic review. International Journal of Medical Informatics. 2023;172:105017.
doi:10.1016/j.ijmedinf.2023.105017
- 31 Lomax S SJ, Catchpole K. Implementing human factors in anaesthesia. Anaesthesia.
2023;78(7):916-7. doi:10.1111/anae.16006
- 32 Gaughan MR, Kwon M, Park E, Jungquist C. Nurses' experience and perception of technology
use in practice: a qualitative study using an extended technology acceptance model.
CIN: Computers, Informatics, Nursing. 2022;40(7):478-86. doi:10.1097/CIN.0000000000000850
- 33 Baratta LR, Harford D, Sinsky CA, Kannampallil T, Lou SS. Characterizing the Patterns
of Electronic Health Record–Integrated Secure Messaging Use: Cross-Sectional Study.
Journal of medical Internet research. 2023;25:e48583. doi:10.2196/48583
- 34 Rouleau G RC, Ivers N, Desveaux L. Characterizing the gaps between best-practice
implementation strategies and real-world implementation: qualitative study among family
physicians who engaged with audit and feedback reports. JMIR Human Factors. 2023;10(1):e38736.
doi:10.2196/38736
- 35 Ogunsanya ME SM, Bamidele OO, Ezenwankwo EF, Clifton S, Ton C, Knight JM, Odedina
FT, Greer JA, Dwyer K, Kendzor DE. Mobile health (mHealth) interventions in prostate
cancer survivorship: a scoping review. J Cancer Surviv. 2023;17(3):557-68. doi:10.1007/s11764-022-01328-3
- 36 Engelsma T, Jaspers M, Peute L. Enhancing Inclusive mHealth Design for People Living
with Dementia: Examples from Literature. Caring is Sharing–Exploiting the Value in
Data for Health and Innovation. 2023:646-50. doi:10.3233/SHTI230228
- 37 Addotey-Delove M, Scott RE, Mars M. Healthcare workers' perspectives of mHealth adoption
factors in the developing world: scoping review. International Journal of Environmental
Research and Public Health. 2023;20(2):1244. doi:10.3390/ijerph20021244
- 38 Bounds DT, Stiles-Shields C, Schueller SM, Odgers CL, Karnik NS. Ethical considerations
for developing pediatric mhealth interventions for teens with socially complex needs.
Journal of Child and Adolescent Psychiatric Nursing. 2023;36(1):7-16. doi:10.1111/jcap.12396
- 39 Siebert JN GL, Sauvage M, Bloudeau L, Suppan L, Rodieux F, Haddad K, Hugon F, Gervaix
A, Lovis C, Combescure C, Manzano S, Ehrler F, Group PT, Group PP. Usability Testing
and Technology Acceptance of an mHealth App at the Point of Care During Simulated
Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within
2 Multicenter Randomized Controlled Trials. JMIR Hum Factors. 2022;9(1):e35399. doi:10.2196/35399
- 40 Liu D LQ, Han S. Using Extended Technology Acceptance Model to Assess the Adopt Intention
of a Proposed IoT-Based Health Management Tool. Sensors (Basel). 2022;22(16):6092.
doi:10.3390/s22166092
- 41 Kulkarni PA SH. Artificial Intelligence in Clinical Diagnosis: Opportunities, Challenges,
and Hype. JAMA. 2023;330(4):317-8. doi:10.1001/jama.2023.11440
- 42 Ismatullaev UVU, Kim S-H. Review of the factors affecting acceptance of AI-infused
systems. Human Factors. 2024;66(1):126-44. doi:10.1177/00187208211064707
- 43 Nov O SN, Mann D. Putting ChatGPT's medical advice to the (Turing) test: survey study.
JMIR Medical Education. 2023;9:e46939. doi:10.2196/46939
- 44 D'Angelo T, Caudo D, Blandino A, Albrecht MH, Vogl TJ, Gruenewald LD, et al. Artificial
intelligence, machine learning and deep learning in musculoskeletal imaging: current
applications. Journal of Clinical Ultrasound. 2022;50(9):1414-31. doi:10.1002/jcu.23321
- 45 Yoo HJ KJ, Kim S, Jang SM, Lee H. Development and usability evaluation of a bedside
robot system for inpatients. Technol Health Care. 2022;30(2):337-50. doi:10.3233/THC-212901
- 46 Rogers WA KT, Bayles MA. Maximizing the Benefits of Participatory Design for Human-Robot
Interaction Research With Older Adults. Hum Factors. 2022;64(3):441-50. doi:10.1177/00187208211037465
- 47 Ragno L BA, Vannetti F, Amici C, Cusano N. Application of Social Robots in Healthcare:
Review on Characteristics, Requirements, Technical Solutions. Sensors (Basel). 2023;23(15):6820.
doi:10.3390/s23156820
- 48 Almasi S, Bahaadinbeigy K, Ahmadi H, Sohrabei S, Rabiei R. Usability evaluation of
dashboards: A systematic literature review of tools. BioMed Research International.
2023;2023(1):9990933. doi:10.1155/2023/9990933
- 49 Tabone W dWJ. Using ChatGPT for human-computer interaction research: a primer. R
Soc Open Sci. 2023;10(9):231053. doi:10.1098/rsos.231053
- 50 Menon D SK. “Chatting with ChatGPT”: Analyzing the factors influencing users' intention
to Use the Open AI's ChatGPT using the UTAUT model. Heliyon. 2023;9(11):e20962. doi:10.1016/j.heliyon.2023.e20962
- 51 Kamińska D ZG, Laska-Leśniewicz A. Usability Testing of Virtual Reality Applications-The
Pilot Study. Sensors (Basel). 2022;22(4):1342. doi:10.3390/s22041342
- 52 Fussell SG, Truong D. Using virtual reality for dynamic learning: an extended technology
acceptance model. Virtual Reality. 2022;26(1):249-67. doi:10.1007/s10055-021-00554-x
- 53 Rodrigues P EA, Botelho J, Machado V, Zagalo C, Zorzal ER, Mendes JJ, Lopes DS. Usability,
acceptance, and educational usefulness study of a new haptic operative dentistry virtual
reality simulator. Comput Methods Programs Biomed. 2022; 2021: 106831. doi:10.1016/j.cmpb.2022.106831
- 54 Colombo V, Aliverti A, Sacco M. Virtual reality for COPD rehabilitation: a technological
perspective. Pulmonology. 2022;28(2):119-33. doi:10.1016/j.pulmoe.2020.11.010
- 55 Bui DT, Barnett T, Hoang H, Chinthammit W. Usability of augmented reality technology
in tele-mentorship for managing clinical scenarios—A study protocol. Plos One. 2022;17(3):e0266255.
doi:10.1371/journal.pone.0266255
- 56 Shen J KC, Samora J, Leonard J, Li R, Shi J, Yeates KO, Xiang H, Taylor HG. Usability
and validity of a virtual reality cognitive assessment tool for pediatric traumatic
brain injury. Rehabil Psychol. 2022;67(4):587-96. doi:10.1037/rep0000464
- 57 Johansen SK KA, Haseli K, Stenmo VH, Thomsen JL, Rathleff MS. Exploring user visions
for modeling mHealth apps toward supporting patient-parent-clinician collaboration
and shared decision-making when treating adolescent knee pain in general practice:
workshop study. JMIR Human Factors. 2023;10(1):e44462. doi:10.2196/44462
- 58 Davat A, Martin-Juchat F. Patients' information needs related to a monitoring implant
for heart failure: co-designed study based on affect stories. JMIR Human Factors.
2023;10:e38096. doi:10.2196/38096
- 59 Stringer E LJ, Livergant J, Kushniruk AW. Decision Aids for Patients With Head and
Neck Cancer: Qualitative Elicitation of Design Recommendations From Patient End Users.
JMIR Human Factors. 2023;10:e43551. doi:10.2196/43551
- 60 Kim JC SS, Åhlund C. Acceptability of a Health Care App With 3 User Interfaces for
Older Adults and Their Caregivers: Design and Evaluation Study. JMIR Human Factors.
2023;10(1):e42145. doi:10.2196/42145
- 61 Denecke K, May R, Borycki EM, Kushniruk AW. Digital health as an enabler for hospital@
home: A rising trend or just a vision? Frontiers in Public Health. 2023;11:1137798.
doi:10.3389/fpubh.2023.1137798
- 62 Kekkonen M KE, Laitinen J, Oinas-Kukkonen H. Factors Reducing the Use of a Persuasive
mHealth App and How to Mitigate Them: Thematic Analysis. JMIR Human Factors. 2023;
10:e40579. doi:10.2196/40579
- 63 Lundstedt R PJ, Håkansson C, Frennert S, Wallergård M. Designing virtual natural
environments for older adults: think-aloud study. JMIR Human Factors. 2023;10(1):e40932.
doi:10.2196/40932
- 64 Kumar S V-CA, Melchinger H, O'Connor KD, Psotka M, Desai NR, Ahmad T, Wilson FP.
Wearables in Cardiovascular Disease. J Cardiovasc Transl Res. 2023;16(3):557-68. doi:10.1007/s12265-022-10314-0
- 65 Lee MA SM, Bessette H, Roberts Davis M, Tyner TE, Reid A. Use of wearables for monitoring
cardiometabolic health: A systematic review. Int J Med Inform. 2023;179:105218. doi:10.1016/j.ijmedinf.2023.105218
- 66 González Ramírez ML, García Vázquez JP, Rodríguez MD, Padilla-López LA, Galindo-Aldana
GM, Cuevas-González D, editors. Wearables for Stress Management: A Scoping Review.
Healthcare; 2023: MDPI. doi:10.3390/healthcare11172369
- 67 Monkman H GJ, MacDonald L, Lesselroth B. Consumers' Needs for Laboratory Results
Portals: Questionnaire Study. JMIR Human Factors. 2023;10:e42843. doi:10.2196/42843
- 68 Poot CC ME, Fokkema M, Chavannes NH, Osborne RH, Kayser L. Translation, cultural
adaptation and validity assessment of the Dutch version of the eHealth Literacy Questionnaire:
a mixed-method approach. BMC Public Health. 2023;23(1):1006. doi:10.1186/s12889-023-15869-4
- 69 Chen J, Wang T, Fang Z, Wang H. Research on elderly users' intentions to accept wearable
devices based on the improved UTAUT model. Frontiers in Public Health. 2023;10:1035398.
doi:10.3389/fpubh.2022.1035398.
- 70 Deshpande N AV, Vollbrecht H, Meltzer DO, Press V. eHealth literacy and patient portal
use and attitudes: cross-sectional observational study. JMIR Human Factors. 2023;10:e40105.
- 71 Borycki EM, Kushniruk AW, Oluka H, Minshall S, Cato K, Senathirajah Y, et al. Modelling
information needs and sources in a COVID-19 designated hospital. Caring is Sharing–Exploiting
the Value in Data for Health and Innovation: IOS Press; 2023. p. 881-5. doi:10.3233/SHTI230294
- 72 Kaufman DR SY, Cato K, Kushniruk A, Borycki E, Minshal S, Roblin P, Daniel P. Navigating
Infection Control Processes in a COVID-19 Only Safety-Net Hospital at the Height of
the Pandemic. Stud Health Technol Inform. 2023;304:67-71. doi:10.3233/SHTI230371
- 73 Senathirajah Y KD, Borycki E, Kushniruk A, Cato K. Comparing Responses to COVID-19
Across Institutions: Conceptualization of an Emergency Response Maturity Model. Stud
Health Technol Inform. 2023;302:907-8. doi:10.3233/SHTI230304
- 74 Thiveaud D OD, Ollé F, Camus D, Josseran A, Degon PF, Ferracci C, Fraysse JL, Germe
AF, Grumblat A, Guido-Morin P, Jarraya B, Joly AS, Lanier C, Pelayo S, Racle G, Teyssie
M. Why and how can we improve patient and caregiver information for the proper use
of their medical devices throughout the care pathway? Therapie. 2023;78(1):53-65.
doi:10.1016/j.therap.2022.11.002
- 75 Wark K CK, Wolter E, Avey JP. Engaging stakeholders in integrating social determinants
of health into electronic health records: a scoping review. Int J Circumpolar Health.
2021;80(1):1943983. doi:10.1080/22423982.2021.1943983
- 76 Viitanen J TM, Tynkkynen E, Lääveri T. Usability of information systems: Experiences
of outpatient physicians, outpatient nurses, and open care social welfare professionals
from three large cross-sectional surveys in Finland. Int J Med Inform. 2022;165:104836.
doi:10.1016/j.ijmedinf.2022.104836.
- 77 Marcilly R CJ, Robert L, Pelayo S, Beuscart JB, Rousselière C, Décaudin B. Improving
the usability and usefulness of computerized decision support systems for medication
review by clinical pharmacists: A convergent, parallel evaluation. Research in Social
and Administrative Pharmacy. 2023;19(1):144-54. doi:10.1016/j.sapharm.2022.08.012
- 78 Hietbrink EA, Middelweerd A, van Empelen P, Preuhs K, Konijnendijk AA, Nijeweme-d'Hollosy
WO, et al. A digital lifestyle coach (E-Supporter 1.0) to support people with type
2 diabetes: participatory development study. JMIR human factors. 2023;10(1):e40017.
doi:10.2196/40017
- 79 Wegener EK BJ, Whitmore C, Winters M, Kayser L. Involving Older People With Frailty
or Impairment in the Design Process of Digital Health Technologies to Enable Aging
in Place: Scoping Review. JMIR Hum Factors. 2023;10:e37785. doi:10.2196/37785
- 80 Jones EK HG, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton GB, Marquard J, Tignanelli
CJ. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support
Systems Improves User-Centered Design. Surgery. 2022;172(5):1537-48. doi:10.1016/j.surg.2022.05.037
- 81 Marcilly R ZW, Quindroit P, Pelayo S, Berdot S, Charpiat B, Corny J, Drouot S, Frery
P, Leguelinel-Blache G, Mondet L, Potier A, Robert L, Ferret L, Baysari M. Comparison
of the validity, perceived usefulness, and usability of I-MeDeSA and TEMAS, two tools
to evaluate alert system usability. Int J Med Inform. 2023;175:105091. doi:10.1016/j.ijmedinf.2023.105091
- 82 Li Y PH, Law AV, Baskys A, Roosan D. Gamification to Improve Medication Adherence:
A Mixed-method Usability Study for MedScrab. J Med Syst. 2023;47(1):108. doi:10.1007/s10916-023-02006-2
- 83 Sinabell I AE. Agile, Easily Applicable, and Useful eHealth Usability Evaluations:
Systematic Review and Expert-Validation. Appl Clin Inform. 2022;13(1):67-79. doi:10.1055/s-0041-1740919
- 84 Abukhadijah HJ, Turk-Adawi KI, Dewart N, Grace SL. Qualitative study measuring the
usability of the international cardiac rehabilitation registry. BMJ open. 2022;12(8):e064255.
doi:10.1136/bmjopen-2022-064255
- 85 Mason M CY, Rayo J, Gong Y, Harris M, Jiang Y. Technologies for Medication Adherence
Monitoring and Technology Assessment Criteria: Narrative Review. JMIR Mhealth Uhealth.
2022;10(3):e35157. doi:10.2196/35157
- 86 Foraker R, Phommasathit C, Clevenger K, Lee C, Boateng J, Shareef N, et al. Using
the sociotechnical model to conduct a focused usability assessment of a breast reconstruction
decision tool. BMC medical informatics and decision making. 2023;23(1):140. doi:10.1186/s12911-023-02236-x
- 87 Cheah W-H, Jusoh NM, Aung MMT, Ab Ghani A, Rebuan HMA. Mobile technology in medicine:
development and validation of an adapted system usability scale (SUS) questionnaire
and modified technology acceptance model (TAM) to evaluate user experience and acceptability
of a mobile application in MRI safety screening. Indian Journal of Radiology and Imaging.
2023;33(01):036-45. doi:10.1055/s-0042-1758198
- 88 Seinsche J dBE, Saibene E, Rizzo F, Carpinella I, Ferrarin M, Moza S, Ritter T, Giannouli
E. A Newly Developed Exergame-Based Telerehabilitation System for Older Adults: Usability
and Technology Acceptance Study. JMIR Hum Factors. 2023;10:e48845. doi:10.2196/48845
- 89 Mishra A B-EL, Gala P, Stachofsky J. Factors influencing actual usage of fitness
tracking devices: Empirical evidence from the UTAUT model. Health Mark Q. 2023;40(1):19-38.
doi:10.1080/07359683.2021.1994170
- 90 VanDeWiele MD HA, Evans MD, O'Connell MS, Flynn PM. Using the Unified Theory of Acceptance
and Use of Technology (UTAUT) to predict the behavioral intent of teledentistry utilization
amongst United States adults. J Telemed Telecare. 2023:1357633X231182405.
- 91 Chen Y-C, Cheng C, Osborne RH, Kayser L, Liu C-Y, Chang L-C. Validity testing and
cultural adaptation of the eHealth Literacy Questionnaire (eHLQ) among people with
chronic diseases in Taiwan: mixed methods study. Journal of Medical Internet Research.
2022;24(1):e32855. doi:10.2196/32855
- 92 Araújo I GA, Silva C. Portuguese Validation of the Unified Theory of Acceptance and
Use of Technology Scale (UTAUT) to a COVID-19 Mobile Application: A Pilot Study. Healthcare
(Basel). 2023;11(13). doi:10.3390/healthcare11131916
- 93 Stoumpos AI KF, Talias MA. Digital Transformation in Healthcare: Technology Acceptance
and Its Applications. Int J Environ Res Public Health. 2023;20(4). doi:10.3390/ijerph20043407
- 94 Hutchins E. The distributed cognition perspective on human interaction. Roots of
human sociality: Routledge; 2020. p. 375-98. doi:10.4324/9781003135517-19
- 95 Wilson E DM, Rao A, Torre D, Durning S, Anderson C, Goldhaber NH, Townsend W, Seifert
CM. A scoping review of distributed cognition in acute care clinical decision-making.
Diagnosis (Berl). 2022;10(2):68-88. doi:10.1515/dx-2022-0095
- 96 Boyle JG, Walters MR, Jamieson S, Durning SJ. Distributed cognition: Theoretical
insights and practical applications to health professions education: AMEE Guide No.
159. Medical Teacher. 2023;45(12):1323-33. doi:10.1080/0142159X.2023.2190479
- 97 Beales D, Ho YK, Lewin J, Loh BW-Q, Yusof AB, Grieve S, et al. Participatory design
of an infographic to help support the care of people living with complex regional
pain syndrome. British Journal of Pain. 2023;17(6):519-31. doi:10.1177/20494637231190587
- 98 Roper A SJ. Innovation through participatory design: Collaborative qualitative methods
in the development of speech-language pathology technology. Int J Speech Lang Pathol.
2022;24(5):527-32. doi:10.1080/17549507.2022.2050943
- 99 Lou SS LH, Warner BC, Harford D, Lu C, Kannampallil T. Predicting physician burnout
using clinical activity logs: model performance and lessons learned. Journal of biomedical
informatics. 2022;127:104015. doi:10.1016/j.jbi.2022.104015
- 100 Bartek B, Lou SS, Kannampallil T. Measuring the cognitive effort associated with
task switching in routine EHR-based tasks. Journal of Biomedical Informatics. 2023;141:104349.
doi:10.1016/j.jbi.2023.104349
- 101 Li-Wang J TA, Katta R. Cognitive Ergonomics: A Review of Interventions for Outpatient
Practice. Cureus. 2023;15(8):e44258. doi:10.7759/cureus.44258
- 102 Rego C ME. The Impact of Feedback Modalities and the Influence of Cognitive Load
on Interpersonal Communication in Nonclinical Settings: Experimental Study Design.
JMIR Hum Factors. 2023;10:e49675. doi:10.2196/49675.
- 103 Hallgren KA, Duncan MH, Iles-Shih MD, Cohn EB, McCabe CJ, Chang YM, et al. Feasibility,
engagement, and usability of a remote, smartphone-based contingency management program
as a treatment add-on for patients who use methamphetamine: Single-arm pilot study.
JMIR Formative Research. 2023;7(1):e47516. doi:10.2196/47516
- 104 Tukur M SG, AlShagathrh FM, Househ M, Agus M. Telehealth interventions during COVID-19
pandemic: a scoping review of applications, challenges, privacy and security issues.
BMJ Health Care Inform. 2023;30(1):e100676. doi:10.1136/bmjhci-2022-100676
- 105 Shin HR US, Yoon HJ, Choi EY, Shin WC, Lee HY, Kim YS. Comprehensive Senior Technology
Acceptance Model of Daily Living Assistive Technology for Older Adults With Frailty:
Cross-sectional Study. J Med Internet Res. 2023;25:e41935.doi:10.2196/41935
- 106 Ong E FD, Kuliga S, Layton N, Liddle J. Creating a consumer-driven global community
of practice to support action within environmental design with people living with
dementia: assistive technology challenges and opportunities. Brain Impair. 2023;24(2):219-28.
doi:10.1017/BrImp.2023.4
- 107 Yousaf W UA, Shirazi SH, Fayaz M, Assam M, Khan JA, Rasheed A, Mehmood G. Telehealth
for COVID-19: A Conceptual Framework. J Healthc Eng. 2023:3679829. doi:10.1155/2023/3679829
- 108 MacPherson M. Immigrant, Refugee, and Indigenous Canadians' Experiences With Virtual
Health Care Services: Rapid Review. JMIR Human Factors. 2023;10:e47288. doi:10.2196/47288
- 109 Apathy NC, Dixit RA, Boxley CL, Adams KT, Booker E, Ratwani RM. Variations in physician
telemedicine provision. JAMA Network Open. 2023;6(7):e2321955-e. doi:10.1001/jamanetworkopen.2023.21955
- 110 Beheshti L, Kalankesh LR, Doshmangir L, Farahbakhsh M. Telehealth in primary health
care: a scoping review of the literature. Perspectives in health information management.
2022;19(1).
- 111 Tong Q WW, Zhang Y, Xiao J, Wang D. Survey on Hand-Based Haptic Interaction for Virtual
Reality. IEEE Trans Haptics. 2023;16(2):154-70. doi:10.1109/TOH.2023.3266199
- 112 Flores Ramones A, del-Rio-Guerra MS. Recent developments in haptic devices designed
for hearing-impaired people: A literature review. Sensors. 2023;23(6):2968. doi:10.3390/s23062968
- 113 van Wegen M HJ, Adelsberger R, Pastore-Wapp M, van Wegen EEH, Bohlhalter S, Nef T,
Krack P, Vanbellingen T. An Overview of Wearable Haptic Technologies and Their Performance
in Virtual Object Exploration. Sensors (Basel). 2023;23(3):1563. doi:10.3390/s23031563
- 114 Hambly P. Human factors and medication safety. anaesthesia. 2023;78(7). doi:10.1111/anae.16014
- 115 Marquard J. Human factors and organizational issues in health informatics: Innovations
and opportunities. Yearbook of medical informatics. 2021;30(01):091-9. doi:10.1055/s-0041-1726511
- 116 Institute of Medicine. To Err Is Human: Building a Safer Health System. Washington,
DC: National Academies Press; 2000.
- 117 Henriksen K, Dayton E, Keyes MA, Carayon P, Hughes R. Understanding adverse events:
a human factors framework. Patient safety and quality: An evidence-based handbook
for nurses. 2008.
- 118 Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Hughes G, Hinder S, et al. Beyond adoption:
a new framework for theorizing and evaluating nonadoption, abandonment, and challenges
to the scale-up, spread, and sustainability of health and care technologies. Journal
of medical Internet research. 2017;19(11):e8775. doi:10.2196/jmir.8775
- 119 Winter PD CT. Using the non-adoption, abandonment, scale-up, spread, and sustainability
(NASSS) framework to identify barriers and facilitators for the implementation of
digital twins in cardiovascular medicine. Sensors. 2023;23(14):6333. doi:10.3390/s23146333
- 120 Liverani M IP, Perel P, Khan M, Balabanova D, Wiseman V. Assessing the potential
of wearable health monitors for health system strengthening in low-and middle-income
countries: a prospective study of technology adoption in Cambodia. Health policy and
planning. 2022;37(8):943-51. doi:10.1093/heapol/czac019
- 121 Pat JJ PC, Steffens MG, Witte LP, Blanker MH. Development and feasibility of a telemedicine
tool for patients with recurrent urinary tract infection: myRUTIcoach. International
urogynecology journal. 2023;34(11):2817-25. doi:10.1007/s00192-023-05634-x
- 122 Carayon P. Handbook of human factors and ergonomics in health care and patient safety:
CRC press; 2006. doi:10.1201/9781482269505
- 123 Carayon P, Smith MJ. Work organization and ergonomics. Applied ergonomics. 2000;31(6):649-62.
doi:10.1016/S0003-6870(00)00040-5
- 124 Wooldridge AR CP, Hundt AS, Hoonakker PL. SEIPS-based process modeling in primary
care. Applied ergonomics. 2017;60:240-54. doi:10.1016/j.apergo.2016.11.010
- 125 Holden RJ CP, Gurses AP, Hoonakker P, Hundt AS, Ozok AA, Rivera-Rodriguez AJ. SEIPS
2.0: a human factors framework for studying and improving the work of healthcare professionals
and patients. Ergonomics. 2013;56(11):1669-86. doi:10.1080/00140139.2013.838643
- 126 Boet S, Burns JK, Brehaut J, Britton M, Grantcharov T, Grimshaw J, et al. Analyzing
interprofessional teamwork in the operating room: An exploratory observational study
using conventional and alternative approaches. Journal of Interprofessional Care.
2023;37(5):715-24. doi:10.1080/13561820.2023.2171373
- 127 Xie A SH, Daodu O, Alam L, Sultan M, Rock C, Stewart CM, Perry SJ, Gurses AP. Environmental
cleaning and disinfection in the operating room: a systematic scoping review through
a human factors and systems engineering lens. Infection Control & Hospital Epidemiology.
2024:1-0. doi:10.1017/ice.2023.280
- 128 Gookey G, Fray M. Facilitators and barriers to a safe opioid prescribing process
in general practice. In: Balfe N, Charles R, Golightly D, editors. Ergonomics & Human
Factors 2023. CIEHF; 2023.
- 129 Reuland C SG, Deatras M, Ang M, Evangelista PP, Shilkofski N. A qualitative study
of barriers and facilitators to pediatric early warning score (PEWS) implementation
in a resource-limited setting. Frontiers in Pediatrics. 2023;11:1127752. doi:10.3389/fped.2023.1127752
- 130 Watterson TL SL, Mott DA, Ford II JH, Portillo EC, Chui MA. Sociotechnical work system
approach to occupational fatigue. The Joint Commission Journal on Quality and Patient
Safety. 2023;49(9):485-93. doi:10.1016/j.jcjq.2023.05.007
- 131 Pitts SI, Barasch N, Maslen AT, Thomas BA, Dorissaint LP, Decker KG, et al. Understanding
CancelRx: results of end-to-end functional testing, proactive risk assessment, and
pilot implementation. Applied clinical informatics. 2019;10(02):336-47. doi:10.1055/s-0039-1688698
- 132 Jimenez YA LS. Infection prevention and control in the medical imaging environment:
a scoping review. Insights into Imaging. 2023;14(1):121. doi:10.1186/s13244-023-01470-1
- 133 Lane-Fall MB KC, Givan K, Klaiman T, Barg FK. Patient-and team-level characteristics
associated with handoff protocol fidelity in a hybrid implementation study: results
from a qualitative comparative analysis. The Joint Commission Journal on Quality and
Patient Safety. 2023;49(8):356-64. doi:10.1016/j.jcjq.2023.04.003
- 134 Herlihey TA ML, Fogarty M. Taking a systems approach to designing national safety
policy. In: Balfe N CRGD, editor. Ergonomics & Human Factors 2023. NHS England, United
Kingdom: CIEHF; 2023.
- 135 Negoescu E MR, Cromie S ., et al. The medication self-management work system of patients
and informal carers from a human factors & ergonomics perspective: A scoping review
protocol [version 1; peer review: 2 approved, 1 approved with reservations]. HRB Open
Res. 2023;6:4. doi:10.12688/hrbopenres.13674.1
- 136 Ma J SX, Wang X, Liu B, Shi K. Factors Affecting Patient Adherence to Inhalation
Therapy: An Application of SEIPS Model 2.0. Patient preference and adherence. 2023:531-45.
doi:10.2147/PPA.S395327
- 137 Kirkendall ES BP, Corathers SD, Ruddy RM, Fox C, Nelson H, Wetterneck TB, Rodgers
I, Walsh KE. Safer type 1 diabetes care at home: SEIPS-based process mapping with
parents and clinicians. Pediatric Quality & Safety. 2023;8(3):e649. doi:10.1097/pq9.0000000000000649
- 138 Wust K BH, Werner NE, Rutkowski R, Hoonakker PL, Shah MN, Patterson BW, Pulia MS,
Buckley D, Smith M, King B, editor SEIPS-based patient journey mapping: application
to a patient visit in the emergency department. Proceedings of the Human Factors and
Ergonomics Society Annual Meeting; 2022 Sep: Sage CA: Los Angeles, CA: SAGE Publications.
doi:10.1177/1071181322661527
- 139 Guldenmund FW. The nature of safety culture: a review of theory and research. Safety
science. 2000;34(1-3):215-57. doi:10.1016/S0925-7535(00)00014-X
- 140 Itoh K AH, Madsen MD. Handbook of Human Factors and Ergonomics in Health Care and
Patient Safety. In: Carayon P, editor. 1st ed ed. Boca Raton, FL: CRC Press. p. 133.
- 141 Falcone ML TU, Fish AF, Van Stee SK, Werner KB. Factor Structure and Construct Validity
of a Hospital Survey on Patient Safety Culture Using Exploratory Factor Analysis.
Journal of Patient Safety. 2023;19(5):323-30. doi:10.1097/PTS.0000000000001126
- 142 Lee SE DV, Lee JH. Testing the association between the enabling and enacting factors
of patient safety culture and patient safety: structural equation modelling. BMC nursing.
2023;22(1):32. doi:10.1186/s12912-023-01196-x
- 143 Duffy C, Menon N, Horak D, Bass GD, Talwar R, Lorenzi C, et al. Proactive Patient
Safety: Focusing on What Goes Right in the Perioperative Environment. Journal of Patient
Safety. 2023;19(4):281-6. doi:10.1097/PTS.0000000000001113
- 144 Ham D-H. Safety-II and resilience engineering in a nutshell: an introductory guide
to their concepts and methods. Safety and health at work. 2021;12(1):10-9. doi:10.1016/j.shaw.2020.11.004
- 145 Kaya S GM, Mete B, Asilkan Z, Mete AH, Akturan S, Tuncer N, Alasirt FY, Toka O, Gunes
T, Gumus R. Patient Safety Culture: Effects on Errors, Incident Reporting, and Patient
Safety Grade. Journal of patient safety. 2023;19(7):439-46. doi:10.1097/PTS.0000000000001152
- 146 Lee W JI. Effect of Nurses' Professionalism, Work Environment, and Communication
with Health Professionals on Patient Safety Culture (AHRQ 2.0.): A Cross-Sectional
Multicenter Study. Journal of Nursing Management. 2023. doi:10.1155/2023/1591128
- 147 Albaalharith T, A'aqoulah A. Level of patient safety culture awareness among healthcare
workers. Journal of Multidisciplinary Healthcare. 2023:321-32. doi:10.2147/JMDH.S376623
- 148 Fekonja Z, Kmetec S, Mlinar Reljić N, Černe Kolarič J, Pajnkihar M, Strnad M, editors.
Perceptions of Patient Safety Culture among Triage Nurses in the Emergency Department:
A Cross-Sectional Study. Healthcare; 2023: MDPI. doi:10.3390/healthcare11243155
- 149 Watari T KM, Nishizaki Y, Tokuda Y, Nagao Y. Safety culture survey among medical
residents in Japan: a nationwide cross-sectional study. BMJ Open Quality. 2023;12(4):e002419.
doi:10.1136/bmjoq-2023-002419
- 150 Fuseini A-KJ, Teixeira da Costa EIM, Matos FASd, Merino-Godoy M-d-l-A, Nave F, editors.
Patient-safety culture among emergency and critical care nurses in a maternal and
child department. Healthcare; 2023: MDPI. doi:10.3390/healthcare11202770
- 151 Curtis SJ, Trewin A, McCormack LM, Were K, McDermott K, Walsh N. Building a safety
culture for infection prevention and control adherence at Howard Springs: a workplace
survey. Infection, Disease & Health. 2023;28(1):47-53. doi:10.1016/j.idh.2022.07.004
doi:10.1016/j.jcjq.2022.11.004
- 152 Vail SG D-DR, Kogut D, Winslow LD, Kolb D, Weckenman A, Almeida S, King HB, Chessen
E, Strickland M, Logan E. Teamwork is associated with reduced hospital staff burnout
at military treatment facilities: findings from the 2019 department of defense patient
safety culture survey. The Joint Commission Journal on Quality and Patient Safety.
2023;49(2):79-88. doi:10.1016/j.jcjq.2022.11.004
- 153 Sousa VT DH, Sousa FP, Oliveira RM, Costa EC, Vasconcelos PF. Professional burnout
and patient safety culture in Primary Health Care. Revista Brasileira de Enfermagem.
2023. doi:10.1590/0034-7167-2022-0311pt
- 154 Kim S KR, Baernholdt M, Lynn MR, Jones CB. Patient safety culture: the impact on
workplace violence and health worker burnout. Workplace health & safety. 2023;76:e20220311.
doi:10.1177/21650799221126364