Improving Healthcare Accessibility with AI-Enabled Telemedicine Solutions

Authors

  • Sathishkumar Chintala

Keywords:

Artificial Intelligence (AI), Healthcare Providers, Telemedicine, Coronavirus Disease 2019, Data Processing, Physical Proximity, Medical Domains, Information Technology (IT).

Abstract

The use of technological devices to provide hospital information and services far away, without needing patients and healthcare practitioners to be in close physical contact, is known as telemedicine. The COVID-19 pandemic has expedited the rapid expansion of telemedicine on a global scale. The potential for enhancement and growth in telemedicine's ability to handle a range of healthcare demands, including monitoring of patients, care IT, intelligent diagnosis, and help, is there when AI is integrated with the technology. Even though using AI in telemedicine has significant advantages, there are drawbacks that may be avoided with medical guidance. Given the wide adoption of AI in other industries, research in the medical field has begun to use AI's advantages in processing and interpreting data in telehealth. Due to the challenges that come with telemedicine's implementation, it is essential that its capabilities and procedures be improved so that they may be adapted to deal with specific problems. This article highlights the significance of physician-guided distribution, adherence to current clinical standards, and adequate training and education for health care providers as it explores the benefits and disadvantages of AI-based telemedicine in a variety of medical areas

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Published

2023-03-27

How to Cite

Sathishkumar Chintala. (2023). Improving Healthcare Accessibility with AI-Enabled Telemedicine Solutions. International Journal of Research and Review Techniques, 2(1), 75–81. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/71