Digital Competence Enhancement Strategy for Medical and Health Workforce: Individual Resource Approach

Irfan An Naufal

Abstract


The Covid-19 pandemic that occurred several years ago became an event that showed the vulnerability of the global health system. Various international health organizations have stated that preventing subsequent pandemics is a top priority (Boland, 2023). This approach focuses on strengthening health systems that are more educational, preventative, detect early, and respond quickly to potential health crises. A report by McKinsey (2021) noted that investment in a more preventive health system has been shown to reduce the global burden of disease by 40% by 2040, with projections of costs below $100 per year per individual saved through preventive measures through health education, healthy lifestyles, and vaccinations. This research is explanatory research, namely explanatory research or explanation is research that highlights the influence between determining variables and tests the proposed hypothesis, where the description contains a description but focuses on the relationship between variables. Based on the results of the hypothesis test, this study found that Motivation for Digital Skill Development has a positive and significant effect on Learning Agility. Strong individual motivation to develop digital skills drives their ability to learn quickly and adaptively in the face of technological changes. Technology Literacy has a positive and significant effect on Learning Agility. The ability of individuals to understand and use technology has been shown to increase their learning agility in adapting to technological advances.
Keywords: Competence; Digital; Health; Medical; Strategy.


References


Abdelilah, B., El Korchi, A., & Balambo, M. A. (2018). Flexibility and agility: evolution and relationship. Journal of Manufacturing Technology Management, 29(7), 1138–1162. https://doi.org/10.1108/JMTM-03-2018-0090

Abdul Hamid, R. (2022). The Role of Employees’ Technology Readiness, Job Meaningfulness and Proactive Personality in Adaptive Performance. Sustainability, 14(23), 15696. https://doi.org/10.3390/su142315696

Adams, V., Murphy, M., & Clarke, A. E. (2009). Anticipation: Technoscience, life, affect, temporality. Subjectivity, 28(1), 246–265. https://doi.org/10.1057/sub.2009.18

Afsar, B., & Umrani, W. A. (2019). Transformational leadership and innovative work behavior. European Journal of Innovation Management, 23(3), 402–428. https://doi.org/10.1108/EJIM-12-2018-0257

Alkali, Y. E., & Amichai-Hamburger, Y. (2004). Experiments in Digital Literacy. CyberPsychology & Behavior, 7(4), 421–429. https://doi.org/10.1089/cpb.2004.7.421

Ancarani, A., & Di Mauro, C. (2018). Successful digital transformations need a focus on the individual. In Digitalisierung im Einkauf (pp. 11–26). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-16909-1_2

Arun, N., Coyle, P. T., & Hauenstein, N. (2012). Learning Agility: Still Searching for Clarity on a Confounded Construct. Industrial and Organizational Psychology, 5(3), 290–293. https://doi.org/10.1111/j.1754-9434.2012.01447.x

Attenborough, J., Abbott, S., Brook, J., & Knight, R.-A. (2019). Everywhere and nowhere: Work-based learning in healthcare education. Nurse Education in Practice, 36, 132–138. https://doi.org/10.1016/j.nepr.2019.03.004

Bakker, A. B., & Demerouti, E. (2007). The Job Demands‐Resources model: state of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115

Bakker, A. B., Demerouti, E., & Verbeke, W. (2004). Using the job demands‐resources model to predict burnout and performance. Human Resource Management, 43(1), 83–104. https://doi.org/10.1002/hrm.20004

Bauer, K. N., Orvis, K. A., Ely, K., & Surface, E. A. (2016). Re-examination of Motivation in Learning Contexts: Meta-analytically Investigating the Role Type of Motivation Plays in the Prediction of Key Training Outcomes. Journal of Business and Psychology, 31(1), 33–50. https://doi.org/10.1007/s10869-015-9401-1

Bayramzadeh, S., & Aghaei, P. (2021). Technology integration in complex healthcare environments: A systematic literature review. Applied Ergonomics, 92, 103351. https://doi.org/10.1016/j.apergo.2020.103351

Beasley, L., Grace, S., & Horstmanshof, L. (2020). Responding and adapting to change: an allied health perspective. Leadership in Health Services, 33(4), 339–349. https://doi.org/10.1108/LHS-07-2019-0050

Blut, M., & Wang, C. (2020). Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48(4), 649–669. https://doi.org/10.1007/s11747-019-00680-8

Boland, S. (2023). How to prevent the next pandemic. International Affairs, 99(3), 1339–1340. https://doi.org/10.1093/ia/iiad075

Brown, A., Bimrose, J., Barnes, S.-A., & Hughes, D. (2012). The role of career adaptabilities for mid-career changers. Journal of Vocational Behavior, 80(3), 754–761. https://doi.org/10.1016/j.jvb.2012.01.003

Bryukhovetsky, Ya. (2021). Motivation for the Development of Digital Skills and Competencies of Employees. Economic Herald of the Donbas, 2 (64), 216–222. https://doi.org/10.12958/1817-3772-2021-2(64)-216-222

Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The Benefits Of Health Information Technology: A Review Of The Recent Literature Shows Predominantly Positive Results. Health Affairs, 30(3), 464–471. https://doi.org/10.1377/hlthaff.2011.0178

Butler, J. M., Gibson, B., Lewis, L., Reiber, G., Kramer, H., Rupper, R., Herout, J., Long, B., Massaro, D., & Nebeker, J. (2020). Patient-centered care and the electronic health record: exploring functionality and gaps. JAMIA Open, 3(3), 360–368. https://doi.org/10.1093/jamiaopen/ooaa044

Carvalho, D., & Cruz, R. (2020). Big data and machine learning in health. European Journal of Public Health, 30(Supplement_2). https://doi.org/10.1093/eurpub/ckaa040.030

Ceschi, A., Demerouti, E., Sartori, R., & Weller, J. (2017). Decision-Making Processes in the Workplace: How Exhaustion, Lack of Resources and Job Demands Impair Them and Affect Performance. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00313




DOI: http://dx.doi.org/10.30659/jrbi.v22i1.43580

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