Discussion – Artificial Intelligence in Managing Diabetes
The general adoption of artificial intelligence (AI) in the healthcare sector is one of the noblest innovations healthcare has received in its modern history, particularly in managing chronic diseases like diabetes. AI systems complement the capacity to observe and modify treatment in real time, which is necessary for conditions that need consistent intervention and appropriate management.
AI Applications in Diabetes Management
Digital health technologies and AI applications significantly change how people with diabetes manage their conditions. These applications use prognostic analysis to manage large amounts of data extracted from patients (Guan et al., 2023). For example, they can predict future changes in blood glucose levels based on food consumption, exercise, and prior glucose readings to enhance insulin administration. This management approach, as explained here, averts dangerous variations in blood glucose levels, therefore assisting patients in achieving better control over their disease.
Expanding the Scope of AI Tools
Besides glucose control, new AI possibilities are focused on nutrition and exercise. Based on the meal timings, meal composition, and physical activity logs, AI can recommend the best meal and exercise schedule the patient can take based on their metabolism and the needs of their treatment plan. These personalized suggestions improve adherence to a proper diet plan and exercise regimen, which is the key to successful long-term glycemic control in diabetic patients.
Benefits to Healthcare Providers
AI tools are particularly valuable to healthcare providers because they can help design treatment regimes that are as accurate as possible. Since these technologies perform analysis of large amounts of data requirements and data entry tasks, they minimize administrative work, thereby increasing the time spent on patient care. This change increases the effectiveness of the treatments and improves resource allocation within various facilities (Armand et al., 2024).
Empowering Patients through AI
Mobile health applications based on artificial intelligence ensure that patients monitor the changes in their health indicators in real time. These tools provide information on possible changes in daily behavior, choice of medication, and a sense of monitoring, which boosts patients’ self-efficacy and ability to self-manage their conditions (Bhatt et al., 2021). Furthermore, applications of artificial intelligence promote better information regarding the disease process, which is helpful for patient awareness and participation.
Challenges and Drawbacks
It is important to note that several risks and barriers are associated with using AI in healthcare. Patients’ data privacy and security issues are crucial, and algorithmic bias may threaten the proposed treatment plan. There are also financial costs in utilizing sophisticated AI systems, which can also be expensive, thus affecting the accessibility of the technology and scalability of the health solutions, thereby perpetuating the gap in health care between developed and underdeveloped countries (Ahmed et al., 2023).
Ethical Considerations and the Path Forward
Notably, the use of AI in healthcare can only be ethical if it focuses on the appropriate usage of data and explanation of algorithms. There is a need for privacy in managing patient information, and, equally important, there are non-embedded biases in AI development. It is about creating an ethical algorithm that will not simply reinforce those disparities or put the values of cost-efficiency above the ones of patient’s needs. The regulation agency and healthcare organization should collaborate to develop policies that suit patients’ ethical framework and health needs (Naik et al., 2022).
Conclusion and Future Directions
Although AI offers an effective tool to improve diabetes care, it is crucial to address potential harm and choose the best strategy to integrate it into practice. The challenges include preserving equal access to needed care, keeping patient information safe, and sustaining surveillance for bias when using AI in health care. It is also important to note that ethical issues, as well as safety concerns of patients, should always come first, especially concerning the growing use of technology in healthcare. The continuous enhancement and sophistication of these tools will be of significant importance in managing chronic illness in the future.
References
Ahmed, M. I., Spooner, B., Isherwood, J., Lane, M. A., Orrock, E., & Dennison, A. (2023). A systematic review of the barriers to implementing artificial intelligence in healthcare. Cureus, 15(10). https://doi.org/10.7759/cureus.46454
Armand, T. P. T., Nfor, K. A., Kim, J., & Kim, H. (2024). Applications of artificial intelligence, machine learning, and deep learning in nutrition: A systematic review. Nutrients, 16(7), 1073. https://doi.org/10.3390/nu16071073
Bhatt, P., Liu, J., Gong, Y., Wang, J., & Guo, Y. (2021). Emerging artificial intelligence-empowered mobile health: A scoping review (Preprint). JMIR MHealth and UHealth, 10(6). https://doi.org/10.2196/35053
Guan, Z., Li, H., Liu, R., Cai, C., Liu, Y., Li, J., Wang, X., Huang, S., Wu, L., Liú, D., Yu, S., Wang, Z., Jia, S., Hou, X., Yang, X., Jia, W., & Sheng, B. (2023). Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Reports Medicine, 4(10), 101213–101213. https://doi.org/10.1016/j.xcrm.2023.101213
Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., Shetty, S., Rai, B. P., Chlosta, P., & Somani, B. K. (2022). Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9(862322), 1–6. Frontiers. https://doi.org/10.3389/fsurg.2022.862322
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Question 
Week 7: Discussion Question – Chronic Illness
Discussion Prompt
Discussion – Artificial Intelligence in Managing Diabetes
Artificial intelligence is a rapidly growing field with applications in many areas of healthcare. Review the literature and find an application that can help healthcare providers treat patients with chronic illness. Describe the specific condition and how AI might help manage the care. Specify if the AI resource is designed for the patient or the provider. What is at least one way AI might be used by the patient themselves to increase their self-efficacy and self-care for their illness and health promotion. Finally, what are the drawbacks or risks of using AI for this situation? Is there a cost associated with the usage? Include the AI application in your reference list, in addition to at least TWO high-level scholarly reference.