Assessing the Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Patient Outcomes in Healthcare Systems
Keywords:
Telemedicine, Digital Health Interventions, Glycemic Control, Geographic Disparities, Health OutcomesAbstract
Purpose: This study aimed to evaluate the effectiveness of telemedicine and digital health interventions on improving clinical outcomes among patients with chronic diseases.
Subjects and Methods: A quasi-experimental design was employed, focusing on key health indicators such as glycemic control (HbA1c levels), systolic and diastolic blood pressure, and kidney function (eGFR). The study involved diverse participants across urban and rural regions, with engagement levels as a moderating variable.
Results: Results showed that participants with higher engagement levels exhibited better clinical outcomes, including reduced systolic and diastolic blood pressure, improved HbA1c levels, and better eGFR outcomes. Furthermore, urban participants displayed better health outcomes compared to their rural counterparts, highlighting the role of geographic disparities and access to telemedicine interventions.
Conclusions: These findings suggest that promoting engagement and ensuring equitable telemedicine access can bridge gaps in healthcare outcomes. This study provides new insights into how engagement and geographic disparities influence telemedicine effectiveness and addresses critical gaps in the existing literature.
References
Al Meslamani, A. Z. (2024). Strategies for reducing chronic disease burden during pandemics. Current Medical Research and Opinion, 40(2), 193-197. https://doi.org/10.1080/03007995.2023.2295410
Al-Emran, M., Al-Qaysi, N., Al-Sharafi, M. A., Alhadawi, H. S., Ansari, H., Arpaci, I., & Ali, N. A. (2024). Factors Shaping Physicians’ Adoption of Telemedicine: A Systematic Review, Proposed Framework, and Future Research Agenda. International Journal of Human–Computer Interaction, 1-20. https://doi.org/10.1080/10447318.2024.2410536
Alruwaili, M. M., Shaban, M., & Elsayed Ramadan, O. M. (2023). Digital health interventions for promoting healthy aging: a systematic review of adoption patterns, efficacy, and user experience. Sustainability, 15(23), 16503. https://doi.org/10.3390/su152316503
Beleigoli, A. M., Andrade, A. Q., Cançado, A. G., Paulo, M. N., Maria De Fátima, H. D., & Ribeiro, A. L. (2019). Web-based digital health interventions for weight loss and lifestyle habit changes in overweight and obese adults: systematic review and meta-analysis. Journal of medical Internet research, 21(1), e9609. https://doi.org/10.2196/jmir.9609
Bennett, J. E., Stevens, G. A., Mathers, C. D., Bonita, R., Rehm, J., Kruk, M. E., ... & Ezzati, M. (2018). NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. The lancet, 392(10152), 1072-1088.
Boppana, V. R. (2022). Impact of Telemedicine Platforms on Patient Care Outcomes. Innovative Engineering Sciences Journal, 2(1).
Burke, K. D., Williams, J. W., Chandler, M. A., Haywood, A. M., Lunt, D. J., & Otto-Bliesner, B. L. (2018). Pliocene and Eocene provide best analogs for near-future climates. Proceedings of the National Academy of Sciences, 115(52), 13288-13293. https://doi.org/10.1073/pnas.1809600115
Chauhan, P., Bali, A., & Kaur, S. (2024). Breaking Barriers for Accessible Health Programs: The Role of Telemedicine in a Global Healthcare Transformation. In Transformative Approaches to Patient Literacy and Healthcare Innovation (pp. 283-307). IGI Global. https://doi.org/10.4018/979-8-3693-3661-8.ch014
Chong, C. J., Bakry, M. M., Hatah, E., Mohd Tahir, N. A., & Mustafa, N. (2023). Effects of mobile apps intervention on medication adherence and type 2 diabetes mellitus control: a systematic review and meta-analysis. Journal of Telemedicine and Telecare, 1357633X231174933. https://doi.org/10.1177/1357633X231174933
Deng, M., Zhai, S., Ouyang, X., Liu, Z., & Ross, B. (2022). Factors influencing medication adherence among patients with severe mental disorders from the perspective of mental health professionals. BMC psychiatry, 22(1), 22. https://doi.org/10.1186/s12888-021-03681-6
Duffy, A., Christie, G. J., & Moreno, S. (2022). The challenges toward real-world implementation of digital health design approaches: narrative review. JMIR Human Factors, 9(3), e35693. https://doi.org/10.2196/35693
FARMA, P. A. P. B. (2023). Journal Of World Science. Journal of World Science-Vol, 2(2), 337-351. https://doi.org/10.58344/jws.v2i2.221
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., ... & Haines, A. (2013). The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS medicine, 10(1), e1001362. https://doi.org/10.1371/journal.pmed.1001362
Hersh, L., Salzman, B., & Snyderman, D. (2015). Health literacy in primary care practice. American family physician, 92(2), 118-124.
Indonesia, D. (2019). Ensuring the Sustainability of JKN-KIS for the Indonesian People: Intended to cover the health costs of all Indonesians, the JKN-KIS national insurance program is now on the brink. How can this program survive. Deloitte Indonesia Perspectives, 1.
Jacob, C., Sezgin, E., Sanchez-Vazquez, A., & Ivory, C. (2022). Sociotechnical factors affecting patients’ adoption of mobile health tools: systematic literature review and narrative synthesis. JMIR mHealth and uHealth, 10(5), e36284. https://doi.org/10.2196/36284
Liew, J., Gianfrancesco, M., Harrison, C., Izadi, Z., Rush, S., Lawson-Tovey, S., ... & Yazdany, J. (2022). SARS-CoV-2 breakthrough infections among vaccinated individuals with rheumatic disease: results from the COVID-19 Global Rheumatology Alliance provider registry. RMD open, 8(1), e002187. https://doi.org/10.1136/rmdopen-2021-002187
Manohar, N., & Prasad, S. S. (2023). Use of ChatGPT in academic publishing: a rare case of seronegative systemic lupus erythematosus in a patient with HIV infection. Cureus, 15(2). https://doi.org/10.7759/cureus.34616
McBride, S., Sherman, E., Tsai, C. J., Baxi, S., Aghalar, J., Eng, J., ... & Lee, N. (2021). Randomized phase II trial of nivolumab with stereotactic body radiotherapy versus nivolumab alone in metastatic head and neck squamous cell carcinoma. Journal of Clinical Oncology, 39(1), 30-37. https://doi.org/10.1200/JCO.20.00290
Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model. Enterprise Information Systems, 15(6), 769-793. https://doi.org/10.1080/17517575.2020.1850872
Rahmawati, L., Wilujeng, I., & Satriana, A. (2020). Application of STEM learning approach through simple technology to increase data literacy. In Journal of Physics: Conference Series (Vol. 1440, No. 1, p. 012047). IOP Publishing. https://doi.org/10.1088/1742-6596/1440/1/012047
Salgado, T., Tavares, J., & Oliveira, T. (2020). Drivers of mobile health acceptance and use from the patient perspective: survey study and quantitative model development. JMIR mHealth and uHealth, 8(7), e17588. https://doi.org/10.2196/17588
Silva, G. M., Dias, Á., & Rodrigues, M. S. (2022). Continuity of use of food delivery apps: An integrated approach to the health belief model and the technology readiness and acceptance model. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 114. https://doi.org/10.3390/joitmc8030114
von Huben, A., Howell, M., Howard, K., Carrello, J., & Norris, S. (2021). Health technology assessment for digital technologies that manage chronic disease: a systematic review. International Journal of Technology Assessment in Health Care, 37(1), e66. https://doi.org/10.1017/S0266462321000362
White, M. S., Bush, N., Hennion, M., & Bush, B. (2024). Promoting health and improving quality of life in heart failure patients. Clinics in Integrated Care, 25, 100215. https://doi.org/10.1016/j.intcar.2024.100215
World Health Organization. (2019). Report of the Global conference on primary health care: from Alma-Ata towards universal health coverage and the Sustainable Development Goals (No. WHO/UHC/IHS/2019.62). World Health Organization.
World Health Organization. (2020). Interim case reporting form for 2019 Novel Coronavirus (2019-nCoV) of confirmed and probable cases: WHO minimum data set report form, 21 January 2020 (No. WHO/2019-nCoV/Surveillance_CRF/2020.1). World Health Organization.
Yang, A., Xiao, B., Wang, B., Zhang, B., Bian, C., Yin, C., ... & Wu, Z. (2023). Baichuan 2: Open large-scale language models. arXiv preprint arXiv:2309.10305. https://doi.org/10.48550/arXiv.2309.10305
Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., ... & Hu, X. (2024). Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data, 18(6), 1-32. https://doi.org/10.1145/3649506
Yang, R., Timofte, R., Li, B., Li, X., Guo, M., Zhao, S., ... & Tsoy, R. (2024). NTIRE 2024 challenge on blind enhancement of compressed image: Methods and results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6524-6535).
Yoong, N. K. M., Perring, J., & Mobbs, R. J. (2019). Commercial postural devices: A review. Sensors, 19(23), 5128. https://doi.org/10.3390/s19235128
Zedan, M. A. (2020). Colorectal Cancer Risk Factors’ Assessment in Palestine: A framework for prediction tool رسالة ماجستير (Doctoral dissertation, AAUP).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Nufarcal Medical and Health Sciences

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.