The growing integration of artificial intelligence and robotics has transformed healthcare operations and patient care. However, access to autonomous systems does not automatically enhance the digital competence of healthcare workers, creating a critical knowledge gap. This study examined the effect of availability and active use of autonomous systems on ICT literacy among healthcare workers in Akinyele Local Government Area, Ibadan, Nigeria. A quantitative descriptive survey design was adopted, and 158 healthcare workers were selected from public and private hospitals using proportional stratified sampling. Data were collected via a validated Google Form questionnaire, and instrument reliability was established using Cronbachâs Alpha. Descriptive statistics and Ordinary Least Squares (OLS) regression were used for analysis. Results revealed low mean scores for availability (M = 1.86) and use (M = 1.88) of autonomous systems in public hospitals. Regression findings showed that availability and use significantly predicted ICT literacy, explaining 58.1% of its variance (R² = 0.581, p < 0.05). These findings imply that access alone is insufficient; active utilization and training are essential to improve digital competency. The study concludes by recommending targeted policies that promote not only provision but effective adoption of autonomous technologies to build a digitally skilled healthcare workforce.
Keywords
ICT literacy, Autonomous systems, Healthcare workers, Technologies, Digital tools
Conclusion
This study concluded that the availability and use of autonomous systems were significant predictors of ICT literacy among health workers. However, despite their potential, both the availability and actual utilization of these technologies remained low, especially in public healthcare institutions. The implication was that for ICT literacy to improve among health workers, stakeholders must ensure not only that autonomous systems are provided but also that health workers are trained and encouraged to use them effectively. The study further confirmed a bidirectional relationship where increased availability can foster digital literacy, and enhanced literacy can, in turn, promote more meaningful use of digital tools. The findings aligned with prior research suggesting that technology alone is insufficient unless accompanied by adequate training, support, and a conducive working environment.
Further studies can be comparative studies on the healthcare workers of two or more states in the same or different geo-political zones in Nigeria so as to reveal the extent and variation in the use and availability of autonomous systems, and their relationship with ICT literacy among health workers in Nigeria. Equally, the instrument used in this study was questionnaire, further studies can use both questionnaire and focus group discussion so that various opinions and perspectives of the health workers can be captured. In addition, a larger sample of the population should be used in future researches so that more responses can be captured and used to get a clearer picture and further contributions to the study. Moreover, further studies should examine specific types of autonomous systems and their individual contributions to ICT literacy development among healthcare workers, and lastly, investigations could focus on the cost-benefit analysis of deploying autonomous systems in public hospitals, especially in resource-constrained settings.
References
Adeleke, O.K., Segun, I.B., & Olaoye, A.I.C. (2019). Impact of internal control on fraud prevention in
deposit money banks in Nigeria. Nigerian Studies in Economics and Management Sciences, 2(1), 42-51.
Adeleke, A. A., & Ezenwa, U. C. (2020). Age, gender, and prior experience as predictors of ICT literacy.
Journal of Digital Literacy, 15(2), 45â58.
Adekunle, R. A., & Musa, F. O. (2022). ICT literacy among teachers in south-western Nigeria: Access
versus proficiency. Nigerian Journal of Education and Technology, 8(1), 22â34.
Advance Scholars Publications. (2025). Knowledge and utilization of ICT tools in healthcare delivery
among health centre workers in Port Harcourt Metropolis. Retrieved from https://aspjournals.org/2025/02/13/knowledge-and-utilization-of-ict-tools-in-healthcare-delivery-among-health-center-workers-in-port-harcourt-metropolis/
Ajibola, B., & Ojo, R. (2022). Infrastructure and ICT competency: Challenges for developing countries.
African Journal of Information Systems, 14(3), 50â63.
Al-Qudah, A. A., Qasem, Z., & Al-Jarrah, I. (2022). Adoption of telemedicine technologies during the
COVID-19 pandemic: A study using the extended TAM in public hospitals in Jordan. Health
Informatics Journal, 28(1). https://doi.org/10.1177/14604582211065852
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023). A Systematic
Literature Review of Artificial Intelligence in the Healthcare Sector: Benefits, Challenges,
Methodologies, and Functionalities. Journal of Innovation & Knowledge, 8, Article 100333.
https://doi.org/10.1016/j.jik.2023.100333
Ancker, J. S., Miller, M. C., Patel, V., Kaushal, R., & with the HITEC Investigators. (2024). Sociotechnical
challenges to developing technologies for patient access to health information exchange data.
Journal of the American Medical Informatics Association, 21(4), 664-670.
Anderson, L., & Chen, M. (2020). The role of autonomous robots in healthcare during the COVID-19
pandemic. Healthcare Robotics Journal, 12(3), 215-229. https://doi.org/10.1080/HRJ.2020.108412
Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2021). A systematic review of the Technology
Acceptance Model in health informatics: An analysis of factors influencing user
acceptance/behavior of health information systems. Applied Sciences, 11(22), 10537.
https://doi.org/10.3390/app112210537
Aslan, S., & Zhu, C. (2021). Digital literacy in the COVID-19 era: Challenges and interventions. Education
and Information Technologies, 26, 6883â6900. https://doi.org/10.1007/s10639-021-10610-2
Atasoy, H., Demirezen, E. M., & Chen, P. Y. (2021). Impacts of patient characteristics and care
fragmentation on the value of HIEs. Production and Operations Management, 30(2), 563-583.
Azari, A. M., Wilujeng, I., & Nurohman, S. (2023). Development of Web-based Science Learning
to Improve ICT Literacy and Conceptual Understanding Skills. JSER Journal of Science Education Research Journal, 22(1), 1â13. www.journal.uny.ac.id/jser
Bietz, M. J., Bloss, C. S., Calvert, S., Godino, J. G., Gregory, J., Claffey, M. P., …, & Patrick, K.
(2023). Opportunities and challenges in the use of personal health data for health research. Journal of the American Medical Informatics Association, 23(e1), e42-e48.
Braunstein, M. L. (2018). Health care in the age of interoperability: The potential and challenges.
IEEE Pulse, 9(5), 34-36.s
Brown, A., Johnson, P., & Lee, S. (2021). A digitally competent health workforce: Scoping review
of educational frameworks. Journal of Medical Internet Research, 23(2), e23456. https://doi.org/10.2196/23456
Castaneda, C., Nalley, K., Mannion, C., Bhattacharyya, P., Blake, P., Pecora, A., …, & Suh, K. S.
(2024). Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of Clinical Bioinformatics, 5(1), 1-16.
Chang H, Huang TL, Wong MK, Ho L, Wu CN, & Teng CI (2021). How robots help nurses focus
on professional task. Journal of Nursing Scholarship, 53(2), 237â245.
Chen, L., Wang, M., & Li, X. (2021). Multi-sensor fusion for enhanced obstacle detection in
autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(3), 456-467. https://doi.org/10.1109/TITS.2021.3056679
Chibuike, M. C., Sara, G. S., & Adele, B. (2024). Overcoming challenges for improved patient-
centric care: A scoping review of platform ecosystems in healthcare.
Edison, G. (2023). Transforming medical decision-making: A comprehensive review of AI’s
impact on diagnostics and treatment. BULLET: Jurnal Multidisiplin Ilmu, 2(4), 1121- 1133.
Ehidiamen, A. J., & Oladapo, O. O. (2024a). Optimizing contract negotiations in clinical research:
Legal strategies for safeguarding sponsors, vendors, and institutions in complex trial environments. World Journal of Biology Pharmacy and Health Sciences, 20(1), 335-348. https://doi.org/10.30574/wjbphs.2024.20.1.0790
Ehidiamen, A. J., & Oladapo, O. O. (2024b). The role of electronic data capture systems in clinical
trials: Streamlining data integrity and improving compliance with FDA and ICH/GCP
guidelines. World Journal of Biology Pharmacy and Health Sciences, 20(1), 321-334.
https://doi.org/10.30574/wjbphs.2024.20.1.0789
Ehidiamen, A. J., & Oladapo, O. O. (2024c). Innovative approaches to risk management in clinical
research: Balancing ethical standards, regulatory compliance, and intellectual property concerns. World Journal of Biology Pharmacy and Health Sciences, 20(1), 349-363. https://doi.org/10.30574/wjbphs.2024.20.1.0791
Eisenberg, M. A. (2022). Clinical Informatics Policy and regulations. In Clinical Informatics Study
Guide: Text and Review (35-45).
Elmy, J., & Jizat, M. (2019). Investigating ICT-literacy assessment toolsâŻ: Developing and
validating a new assessment instrument for trainee teachers in Malaysia. Journal for Research in Mathematics Education, 3(August), 325â336.
Emergen Research. (2020). Healthcare robotics market by type; By application (neurosurgery,
orthopedic surgery, cardiology, laparoscopy, pharmacy applications, others); By portability (mobile, fixed); By enduse industry (rehabilitation, hospitals, and others); By region forecasts to 2027. https://www.emergenresearch.com/industry-report/healthcare-robotics-market
European Commission. (2024). The 2024 state of the digital decade. Available at: http s://digital-
strategy.ec.europa.eu/en/library/report-state-digital-decade-2024.
Garcia, M., Rodriguez, L., & Wang, T. (2023). An integrative review on the acceptance of artificial
intelligence among healthcare professionals. BMC Medical Informatics and Decision Making, 23, Article 45. https://doi.org/10.1186/s12911-023-02045-6
Gaynor, M., Yu, F., Andrus, C. H., Bradner, S., & Rawn, J. (2024). A general framework for
interoperability with applications to healthcare. Health Policy and Technology, 3(1), 3-12.
Gupta, S., Mehrotra, D., & Sarkar, A. (2023). Exploring technology acceptance for digital health
innovations: A cross-country analysis. Journal of Health Informatics, 39(2), 87â102. https://doi.org/10.1016/j.jhi.2023.01.005
Hersh, W. R., & Hoyt, R. E. (2018). Health Informatics: Practical Guide Seventh Edition. Lulu.
com.
Holmgren, A. J., Esdar, M., HĂźsers, J., & Coutinho-Almeida, J. (2023). Health information
exchange: Understanding the policy landscape and future of data interoperability. Yearbook of Medical Informatics, 32(01), 184-194.
Ilomaki, L., Paavola, S., Lakkala, M., & Kantosalo, A. (2016). Digital competenceâan emergent
boundary concept for policy and educational research. Education and Information Technologies, 21, 655â679
Ilugbusi, S., Akindejoye, J.A., Ajala, R.B., & Ogundele, A. (2020). Financial liberalization and
economic growth in Nigeria (1986-2018). International Journal of Innovative Science and Research Technology, 5(4), 1-9.
International ICT Literacy Panel. (2019). Digital Transformation and ICT Literacy. OECD
Publishing.
Jarva, E., Oikarinen, A., Andersson, J., Pramila-Savukoski, S., Hammar´en, M., & Mikkonen, K.
(2024). Healthcare professionalsâ digital health competence profiles and associated factors: A cross-sectional study. Journal of Advanced Nursing, 80(8), 3236â3252.
Jarva, E., Oikarinen, A., Andersson, J., Tomietto, M., Ka¨¨ ari¨ ainen, M., & Mikkonen, K. (2023).
Healthcare professionalsâ digital health competence and its core factors; development and
psychometric testing of two instruments. International Journal of Medical Informatics, 171, 104995.
Jarva, E., Oikarinen, A., Andersson, J., Tuomikoski, A. M., Ka¨¨ ari¨ ainen, M., & Merilainen, M.
(2022). Healthcare professionalsâ perceptions of digital health competence: A qualitative descriptive study. Nursing Open, 9(2), 1379â1393.
Jiang, H., Roberts, M., & Davis, K. (2023). Transformative potential of AI in healthcare. Journal
of Healthcare Informatics Research, 7(1), 12â25. https://doi.org/10.1007/s41666-023-00123-4
Jin, H., Huang, Y., & Cheng, S. (2022). An adaptability framework for autonomous vehicles in
diverse terrains. Journal of Autonomous Systems Research, 15(2), 112-129. https://doi.org/10.1016/j.autsys.2022.104323
Jones, T., Patel, S., & Lee, A. (2022). The impact of autonomous systems on employment and
ethics. Journal of Industrial and Labour Relations, 14(2), 105-120. https://doi.org/10.1108/JILR.2022.108472
Khalid, A., & Ali, M. (2023). ICT competency development through continuous training:
Evidence from public sector. Journal of Technology in Society, 19(1), 11â25.
Kohli, R., & Tan, S. S. L. (2022). Electronic health records. MIS Quarterly, 40(3), 553-574.
Konttila, J., Siira, H., Kyngas, ¨ H., Lahtinen, M., Elo, S., K¨ aari ¨ ainen, ¨ M., ⌠Mikkonen, K.
(2019). Healthcare professionalsâ competence in digitalisation: A systematic review. Journal of Clinical Nursing, 28(5â6), 745â761.
Kuek, A., & Hakkennes, S. (2020). Healthcare staff digital literacy levels and their attitudes
towards information systems. Health Informatics Journal, 26(1), 592â612. https://doi.org/10.1177/1460458219839613
Kulju, E., Jarva, E., Oikarinen, A., Hammar´en, M., Kanste, O., & Mikkonen, K. (2024).
Educational interventions and their effects on healthcare professionalsâ digital competence
development: A systematic review. International Journal of Medical Informatics, 185,
Article 105396. https://doi.org/10.1016/j.ijmedinf.2024.105396
Kumar, B. K., Srinivas, U. M., Kumar, M. B. B., Rao, N. S., Mishra, M. K., Srinivas, P., &
Ramanaiah, M. P. (2023). Health informatics and social determinants utilizing big data to address health disparities. Journal of Namibian Studies: History Politics Culture, 35, 2398-2414.
Kumpulainen, H., Kinnunen, U. M., & Jylha, ¨ V. (2025). ICT acceptance in social and healthcare
context â A scoping review of theories and models. International Journal of Medical Informatics, 105796.
Laakkonen, N., Jarva, E., Hammar´en, M., Kanste, O., K¨ a¨ ariainen, ¨ M., Oikarinen, A., &
Mikkonen, K. (2024). Digital competence among healthcare leaders: A mixed methods systematic review. Journal of Nursing Management. Article 8435248. https://doi.org/10.1155/2024/8435248
Laar, E., Deursen, A. V., & Dijk, J. V. (2020). Determinants of 21st-century digital skills: A
European perspective. Telematics and Informatics, 55, 101464. https://doi.org/10.1016/j.tele.2020.101464
Laric, M. V., & Pitta, D. A. (2019). Preserving patient privacy in the quest for health care
economies. Journal of Consumer Marketing, 26(7), 477-486.
Lee, C., Thompson, R., & White, J. (2024). Artificial intelligence education programs for
healthcare professionals: Bridging the gap. International Journal of Medical Education, 15, 100â110. https://doi.org/10.5116/ijme.63e1.0b2a
Lin, D., & Lee, J. (2021). Balancing efficiency and safety in autonomous decision-making.
International Journal of Robotics and Automation, 37(1), 54-69. https://doi.org/10.1007/s10514-021-12345-6
Ma, Y., Song, Y., Balch, J. A., Ren, Y., Vellanki, D., Hu, Z., Brennan, M., Kolla, S., Guan, Z.,
Armfield, B., Ozrazgat-Baslanti, T., Rashidi, P., Loftus, T. J., & Brakenridge, S. C. (2024). Defining artificial intelligence literacy for medical students: A scoping review. NPJ Digital Medicine, 7(1), 12. https://doi.org/10.1038/s41746-023-00988-4
MareĹĄ, J. (2018). Resistance of health personnel to changes in healthcare. Kontakt, 20(3), e262-
e272.
Marques, G., Pitarma, R., M. Garcia, N., & Pombo, N. (2019). Internet of things architectures,
technologies, applications, challenges, and future directions for enhanced living environments and healthcare systems: A review. Electronics, 8(10), 1081.
Martinez, F., & O’Neill, P. (2020). Fault tolerance in autonomous vehicles through redundant
control systems. Journal of Transportation Technologies, 8(4), 313-329. https://doi.org/10.4236/jtts.2020.84023
Nguyen, L., Bellucci, E., & Nguyen, L. T. (2024). Electronic health records implementation: An
evaluation of information system impact and contingency factors. International Journal of Medical Informatics, 83(11), 779-796.
Nguyen, P., & Patel, S. (2025). Enhancing ICT literacy through exposure to autonomous systems
in healthcare. Health Informatics Journal, 31(2), 200â215. https://doi.org/10.1177/14604582211012345
Nwachukwu, S., Ekwe, M., & Nwosu, K. (2021). Overcoming institutional barriers to ICT
integration in African schools. International Journal of Educational Technology, 10(2), 91â105.
OECD. (2021). Digital Education Outlook 2021: Pushing the Frontiers with AI, Blockchain and
Robots. OECD Publishing. https://doi.org/10.1787/589b283f-en
Ojo, A. O., Oladipo, A., & Balogun, M. (2024). ICT literacy and clinical efficiency among nurses
in Lagos. Journal of Health Informatics in Developing Countries, 18(1), 77â89.
Ojo, O. O., & Kiobel, B. (2024a). The impact of business analytics on healthcare operations: A
statistical perspective. World Journal of Biology Pharmacy and Health Sciences, 19(3), 205â217. https://doi.org/10.30574/wjbphs.2024.19.3.0625
Ojo, O. O., & Kiobel, B. (2024b). Optimizing data management in healthcare: Lessons from
clinical trials and beyond. World Journal of Biology Pharmacy and Health Sciences, 19(3), 218â231. https://doi.org/10.30574/wjbphs.2024.19.3.0626
Ojo, O. O., & Kiobel, B. (2024c). Emerging trends in survival analysis: Applications and
innovations in clinical and epidemiological research. World Journal of Biology Pharmacy and Health Sciences, 19(3), 232â245. https://doi.org/10.30574/wjbphs.2024.19.3.0627
Ojo, O. O., & Kiobel, B. (2024d). Statistical challenges and solutions in multidisciplinary clinical
research: Bridging the gap between. World Journal of Biology Pharmacy and Health Sciences, 19(3), 246â258. https://doi.org/10.30574/wjbphs.2024.19.3.0628
Ojo, O. O., & Kiobel, B. (2024e). Data-driven decision-making in public health: The role of
advanced statistical models in epidemiology. World Journal of Biology Pharmacy and Health Sciences, 19(3), 259â270. https://doi.org/10.30574/wjbphs.2024.19.3.0629
Okoro, B. C., Ogochukwu, E. S. N., and Okoro, V. I. (2018). Impact of Conflict
Management on Job Performance in Financial Sector. International Journal of
Business, Economics and Entrepreneurship Development in Africa, 10(4-5), 45-55.
Ostern, N., Perscheid, G., Reelitz, C., & Moormann, J. (2021). Keeping pace with the healthcare
transformation: A literature review and research agenda for a new decade of health information systems research. Electronic Markets, 31, 901-921.
Ovwasa, L. O. (2022). Nursing informatics: Factors influencing the use of ICT by nurses in a
Nigerian teaching hospital. Journal of Health Informatics in Developing Countries, 16(2), 1-14.
Park, J., & Liu, H. (2023). International regulatory standards for autonomous systems. Global
Technology Standards Journal, 6(3), 219-233. https://doi.org/10.1007/GTJ.2023.102321
Peng, Y., Zhang, R., & Liu, W. (2024). Predictive fault tolerance in autonomous manufacturing
robots. IEEE Robotics and Automation Magazine, 31(2), 78-89. https://doi.org/10.1109/MRA.2024.1002345
Petersson, L., Larsson, I., Nygren, J. M., Nilsen, P., Neher, M., Reed, J. E. et al. (2022). Challenges
to Implementing Artificial Intelligence in Healthcare: A Qualitative Interview Study with Healthcare Leaders in Sweden. BMC Health Services Research, 22, Article No. 850. https://doi.org/10.1186/s12913-022-08215-8
Robert N (2019). How artificial intelligence is changing nursing. Nursing Management, 50(9), 30â
39.
Robinson, K. M. (2017). The dynamics of health information management in Australia: the
emergence and shaping of a profession (Doctoral dissertation, University of Tasmania).
Santos, M., & Green, T. (2022). Safety assurance frameworks for autonomous vehicle verification.
Automotive Engineering International, 50(3), 211-230. https://doi.org/10.1007/s12623-022-00890-3
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). The Role of
Artificial Intelligence in Healthcare: A Structured Literature Review. BMC Medical
Informatics and Decision Making, 21, Article No. 125. https://doi.org/10.1186/s12911-021-01488-9
Sharma, R., & Sharma, S. (2023). ICT literacy and workplace innovation: A longitudinal study.
Journal of Digital Transformation, 4(1), 33â49.
Shi, X., Sun, L., & Zhao, P. (2023). Deep reinforcement learning for dynamic obstacle adaptation
in UAVs. Journal of Robotics and Autonomous Systems, 134, 104198. https://doi.org/10.1016/j.robot.2023.104198
Shiferaw, F., Zolfo, M., & Kaba, M. (2020). Healthcare providers’ digital competency in resource-
limited settings: A cross-sectional study. BMC Health Services Research, 20(1), 478. https://doi.org/10.1186/s12913-020-05283-1
Smith, J. & Doe, A. (2022). Factors influencing healthcare workers’ acceptance of AI technologies.
Computers in Human Behavior, 130, 107â115. https://doi.org/10.1016/j.chb.2022.107115
Spruit, M., & Lytras, M. (2018). Applied data science in patient-centric healthcare: Adaptive
analytic systems for empowering physicians and patients. Telematics and Informatics, 35(4), 643-653.
Sun, Y., Kim, J., & Roberts, P. (2023). Robotics in autonomous manufacturing: Adaptability and
precision in smart factories. International Journal of Robotics and Automation, 39(5), 877-891. https://doi.org/10.1016/j.ijra.2023.100023
Takahashi, Y., Yamamoto, R., & Ueda, T. (2023). Autonomous navigation in complex indoor
spaces. Robotics and Autonomous Systems, 23(4), 312-328. https://doi.org/10.1016/j.ras.2023.104431
Turner, R., & White, J. (2021). Improving human-autonomy interaction reliability in autonomous
vehicles. Human-Computer Interaction Journal, 45(4), 672-687. https://doi.org/10.1080/07370024.2021.1024915
Uchechukwu, E.S., Amechi, A.F., Okoye, C.C., & Okeke, N.M. (2023). Youth unemployment and
security challenges in Anambra state, Nigeria.
Witherspoon, L. (2024). Ethical considerations in the use of autonomous robots in healthcare.
Wong, M. Y. Z., Yee, K. C., Turner, P., & Poon, S. K. (2014). Understanding e-health literacy and
attitudes towards e-health among older students. International Journal of Medical Informatics, 83(5), 398-403. https://doi.org/10.1016/j.ijmedinf.2014.02.001
World Bank. (2024). Digital skills for economic resilience. Retrieved from
https://www.worldbank.org/en/topic/digitaldevelopment/publication/digital-skills
World Health Organization (WHO). (2019). WHO guideline: Recommendations on digital
interventions for health system strengthening. World Health Organization.
World Health Organization (WHO). (2023). The ongoing journey to commitment and
transformation. Digital health in the WHO European Region 2023.
Yasuhara Y, Ito H, Tanioka T, Kondo K, & Locsin R (2019). Report on the second international
seminar and workshop on technological competency as caring in the health sciences 2018. Journal of Medical Investigation, 66(1.2), 54â57.
Zhang, Y., Li, M., & Chen, G. (2022). Drone swarming technologies for real-time applications.
Journal of UAV Systems, 10(2), 125-139. https://doi.org/10.1080/24510454.2022.1062796
Zhu, Q., & Tang, W. (2023). Adaptive and personalized interfaces in human-machine interaction.
Human-Computer Studies, 52(1), 87-102. https://doi.org/10.1016/j.hcs.2023.101013