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Digital Health Navigator: Preliminary Work on a Personal Health Assistant Software for All Health Literacy Level Users in Turkey

Year 2023, Volume: 3 Issue: 2, 67 - 76, 01.10.2023

Abstract

Today's digital health terminology is actually advanced medical technologies that include computer-assisted therapy, smartphone apps, and wearable technologies. These technologies offer significant potential for improving access to immediate medical care, efficiency, clinical effectiveness, and personalization of many health problem therapies. In this paper, we propose the initial design steps of a personalized health assistant application. The proposed application can be classified as a mobile health app and not a telemedicine application. The idea behind this application is to reduce the physicians' workload in hospitals while providing health care to the community with different health literacy levels by easily using the application when general assistance about any health issues or an overall health and wellness improvement is required.

References

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Year 2023, Volume: 3 Issue: 2, 67 - 76, 01.10.2023

Abstract

References

  • [1] Boniol, M., Kunjumen, T., Nair, T. S., Siyam, A., Campbell, J., & Diallo, K. (2022). The global health workforce stock and distribution in 2020 and 2030: a threat to equity and ‘universal’health coverage?. BMJ global health, 7(6), e009316.
  • [2] Pires, I. M., Marques, G., Garcia, N. M., Flórez-Revuelta, F., Ponciano, V., & Oniani, S. (2020). A research on the classification and applicability of the mobile health applications. Journal of personalized medicine, 10(1), 11.
  • [3] 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.
  • [4] Hong, Y. J., Kim, I. J., Ahn, S. C., & Kim, H. G. (2010). Mobile health monitoring system based on activity recognition using accelerometer. Simulation Modelling Practice and Theory, 18(4), 446-455.
  • [5] European mhealth hub — health apps repositories in europe. Retrieved January 10, 2023, from https://mhealth-hub.org/health-apps-repositories-in-europe
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  • [14] Luxton, D. D., June, J. D., Sano, A., & Bickmore, T. (2016). Intelligent mobile, wearable, and ambient technologies for behavioral health care. In Artificial intelligence in behavioral and mental health care (pp. 137-162). Academic Press.
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  • [37] Tchango, A. F., Goel, R., Wen, Z., Martel, J., & Ghosn, J. (2022). DDXPlus: A New Dataset For Automatic Medical Diagnosis. Proceedings of the Neural Information Processing Systems-Track on Datasets and Benchmarks, 2.
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  • [45] Kim, B. Y., Sharafoddini, A., Tran, N., Wen, E. Y., & Lee, J. (2018). Consumer mobile apps for potential drug-drug interaction check: Systematic review and content analysis using the mobile app rating scale (MARS). JMIR mHealth and uHealth, 6(3), e74. https://doi.org/10.2196/mhealth.8613
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  • [60] Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., ... Zheng, X. (2015). TensorFlow: Large-scale machine learning on heterogeneous systems. Retrieved from https://www.tensorflow.org/. Software available from tensorflow.org.
There are 60 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Nazlı Tokatlı 0000-0001-9840-4211

Muhammed Tayyip Koçak 0000-0003-2276-2658

Seda Kırtay 0000-0003-2415-9131

Fatma Nur Kömür This is me 0000-0002-9440-8394

Gürkan Göztepeli This is me 0000-0002-5962-8578

Beyza Gül 0000-0003-4202-0993

Halis Altun 0000-0002-2126-8757

Publication Date October 1, 2023
Published in Issue Year 2023 Volume: 3 Issue: 2

Cite

APA Tokatlı, N., Koçak, M. T., Kırtay, S., Kömür, F. N., et al. (2023). Digital Health Navigator: Preliminary Work on a Personal Health Assistant Software for All Health Literacy Level Users in Turkey. Artificial Intelligence Theory and Applications, 3(2), 67-76.