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Artificial Intelligence in Telemedicine: A Growing Healthcare Challenge
Healthcare in America is changing fast, and one of the biggest changes involves artificial intelligence (AI) being used in telemedicine. When we talk on video calls with doctors or nurses, AI technology is often working behind the scenes to help make those visits better. This technology became popular during COVID-19 when people could not visit doctors in person as much. AI in telemedicine means computers can help doctors diagnose problems, remind patients to take medicine, and even predict when someone might get sick. According to Kumar et al. (2024), AI is changing how we monitor patients and deliver healthcare in ways we never imagined before. But like any new technology, it brings both good things and problems that we need to think about carefully.
The American Medical Association found that 70% of doctors used AI tools in 2024, which is way up from just 38% the year before (American Medical Association, 2024). This quick growth means we need to look closely at what this technology does well and where it might cause trouble.
Pros and Cons Analysis
|
Good Things About AI in Telemedicine |
Problems with AI in Telemedicine |
|
Doctors can spot diseases better because computers see patterns humans miss |
Patient information might not be safe from hackers |
|
Smart watches and devices can track health problems 24/7 |
AI might make wrong diagnoses if the computer program has errors |
|
Healthcare costs less because hospitals work more efficiently |
Some healthcare jobs might disappear |
|
People in rural areas can see specialists without traveling far |
Poor people might not have good internet or devices |
|
Less paperwork for doctors and nurses |
Rules about AI use are unclear and confusing |
|
Treatment plans fit each person's specific needs |
Setting up AI systems costs a lot of money |
|
Emergency cases get sorted faster |
Patients might feel less connected to their doctors |
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What Different Groups Think
What Medical Professionals Say
The American Medical Association wants doctors to stay in control when AI is used. They call it "augmented intelligence" instead of artificial intelligence because they want AI to help doctors, not replace them (American Medical Association, 2024). They work with tech companies to make sure doctors have a say in how AI gets used in medicine. The American Nurses Association supports using AI, but they want nurses to keep using their professional judgment. They say nurses need good training to use AI tools while still following ethical rules about patient care.
What Patient Groups Say
People who speak up for patients have mixed feelings about AI in telemedicine. They like that AI might make healthcare easier to get and cheaper. However, they worry about keeping personal health information private and whether AI systems are fair to everyone. Rahman et al. (2024) explain that while AI makes remote healthcare better, we still have big problems with privacy, accuracy, and making everything work together smoothly.
Patient advocacy groups want clear rules about how AI makes decisions about people's health. They also want patients to really understand what they are agreeing to when AI is involved in their care.
My Position on This Issue
After looking at all the information, I think we should keep using AI in telemedicine, but we need strong rules and safety measures. Here is why I believe this: First, AI can really help fix problems in our healthcare system. Qayyum et al. (2023) found four main ways AI is changing telemedicine: watching patients more carefully, using better technology in healthcare, helping with smart diagnosis, and analyzing information together. These improvements can help people who do not have good access to healthcare and make care better overall.
Second, our healthcare system needs to change to handle more patients while keeping costs down. AI can help hospitals and clinics work better and use their resources more wisely. However, we have to make sure patient safety comes first and that healthcare still feels personal and caring. Third, instead of avoiding the problems that come with AI, healthcare workers should help create good rules, ethical guidelines, and training programs. When we take charge of how AI develops, we can get the benefits while avoiding the worst problems. We also need to think about people who might be left behind. Not everyone has smartphones or high-speed internet, so we cannot let AI make healthcare harder for people who are already struggling to get care.
Conclusion
From a healthcare perspective, the use of AI in telemedicine is a big change that is happening right now. Yes, there are issues of privacy, accuracy, and ensuring that everyone is able to benefit. However, the good things AI can do - like making health care easier to get, cheaper, and better - make it worth pursuing. The key is doing this right. What is needed is a combination of doctors, nurses, tech companies, lawmakers and patient groups. They need to design an AI system to enable telemedicine that keeps patients safe, ensures quality care, and ensures that everyone can access it, rather than just those who are rich or live in the city. Healthcare has always been about making people feel better and remain healthy. AI is meant to help achieve that goal, not interrupt it. If we are perceptive and considerate with the use of this technology, it could improve healthcare for all.
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- American Medical Association. (2024, August). How to develop AI policies that work for your organization's needs. Retrieved from https://www.ama-assn.org/practice-management/digital-health/how-develop-ai-policies-work-your-organization-s-needs
- Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, S. (2024). Innovation and challenges of artificial intelligence technology in personalized healthcare. Scientific Reports, 14, Article 18834. https://doi.org/10.1038/s41598-024-70073-7
- Pursuit of History. (2024, February 26). How to write to your congressperson [Video file]. YouTube. https://www.youtube.com/watch?v=bjelzsqu0ae
- Qayyum, A., Qadir, J., Bilal, M., & Al-Fuqaha, A. (2023). Addressing the challenges of AI-based telemedicine: Best practices and lessons learned. PMC, 10, Article PMC10671014. https://pmc.ncbi.nlm.nih.gov/articles/PMC10671014/
- Rahman, M. S., Peeri, N. C., Shrestha, N., Zaki, R., Haque, U., & Ab Hamid, S. H. (2024). The role of AI in hospitals and clinics: Transforming healthcare in the 21st century. PMC, 11, Article PMC11047988. https://pmc.ncbi.nlm.nih.gov/articles/PMC11047988/
- Verify Road Trip. (2024, February 12). Are you wasting your time, writing messages to your Congress person? [Video file]. YouTube. https://www.youtube.com/watch?v=8voskn_cfm8