ANALYSIS OF HEALTHCARE QUALITY IN THE ERA OF DIGITALIZATION: CHALLENGES AND OPPORTUNITIES

Authors

  • Inacio Sarmento Viegas Universitas Sebelas Maret

DOI:

https://doi.org/10.46799/ijssr.v4i7.857

Keywords:

healthcare, digitalization, quality

Abstract

Digitalization offers numerous opportunities to improve the quality of health services. This study aims to analyze the impact of digitalization on the health services, identify the challenges faced in the implementation of digital technology, and explore the opportunities offered by digitalization in improving the health service quality. A qualitative approach is used to understand the perspectives and experiences of patients and medical personnel towards digitalization. Quantitative analysis is carried out using descriptive and inferential statistics to identify trends and patterns in the data. Thematic analysis techniques are used to identify the main themes and categories that emerged from the interview and observation data. Digitalization has a significant impact on the quality services, both positive and negative. To maximize the benefits of the digitalization, efforts are needed to address existing challenges, including increasing access to digital technology and strengthening data security and privacy, and providing training and support for medical personnel. Further research is needed to explore how digital technology can be used to improve health services and provide recommendations to overcome existing challenges.

References

Achenbach, S. J. (2020). Telemedicine: benefits, challenges, and its great potential. Health L. & Pol’y Brief, 14, 1.

Don, H. L., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1). https://doi.org/10.3390/ijerph18010271

Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2. https://doi.org/10.1016/j.sintl.2021.100117

Hermes, S., Riasanow, T., Clemons, E. K., Böhm, M., & Krcmar, H. (2020). The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Business Research, 13(3). https://doi.org/10.1007/s40685-020-00125-x

Hwei, L. R. Y., & Octavius, G. S. (2021). Potential advantages and disadvantages of telemedicine: A literature review from the perspectives of patients, medical personnel, and hospitals. Journal of Community Empowerment for Health, 4(3). https://doi.org/10.22146/jcoemph.64247

Khayru, R. K., & Issalillah, F. (2022). The equal distribution of access to health services through telemedicine: Applications and challenges. International Journal of Service Science, Management, Engineering, and Technology, 2(3), 24–27.

Pulimamidi, R. (2021). Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas. Journal of Science & Technology, 2(4), 53–62.

Razzaque, A., & Hamdan, A. (2021). Artificial intelligence based multinational corporate model for EHR interoperability on an e-health platform. In Studies in Computational Intelligence (Vol. 912). Springer. https://doi.org/10.1007/978-3-030-51920-9_5

Senbekov, M., Saliev, T., Bukeyeva, Z., Almabayeva, A., Zhanaliyeva, M., Aitenova, N., Toishibekov, Y., & Fakhradiyev, I. (2020). The recent progress and applications of digital technologies in healthcare: A review. International Journal of Telemedicine and Applications, 2020. https://doi.org/10.1155/2020/8830200

Shaikh, A. K., Alhashmi, S. M., Khalique, N., Khedr, A. M., Raahemifar, K., & Bukhari, S. (2023). Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector. Digital Health, 9. https://doi.org/10.1177/20552076221149296

Sheikh, A., Anderson, M., Albala, S., Casadei, B., Franklin, B. D., Richards, M., Taylor, D., Tibble, H., & Mossialos, E. (2021). Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health, 3(6). https://doi.org/10.1016/S2589-7500(21)00005-4

Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., Kaushik, D., & Rahman, M. H. (2021). Blockchain and artificial intelligence technology in e-Health. Environmental Science and Pollution Research, 28(38). https://doi.org/10.1007/s11356-021-16223-0

Wang, Q., Su, M., Zhang, M., & Li, R. (2021). Integrating digital technologies and public health to fight covid-19 pandemic: Key technologies, applications, challenges and outlook of digital healthcare. International Journal of Environmental Research and Public Health, 18(11). https://doi.org/10.3390/ijerph18116053

Yang, D., Karimi, H. R., Kaynak, O., & Yin, S. (2021). Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey. Complex Engineering Systems, 1(1). https://doi.org/10.20517/ces.2021.06

Yang, J., Luo, B., Zhao, C., & Zhang, H. (2022). Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework. Digital Health, 8. https://doi.org/10.1177/20552076221126034

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Published

2024-07-30