AI to improve telehealth

The Use of AI to Improve Patient Care in Telehealth

With the rising number of people relying on telehealth services, it has become crucial for healthcare providers and the industry as a whole to have access to technology that can enhance patient care. Artificial Intelligence (AI) is swiftly emerging as a valuable tool that can aid in achieving this goal by allowing physicians to make data-driven, real-time decisions, which could lead to better patient outcomes and experiences through virtual care alternatives.

A recent study revealed that 75% of healthcare facilities that used AI experienced an improvement in their capacity to manage illnesses, while 4 out of 5 facilities reported a reduction in employee fatigue. Given the strain that the pandemic has put on both the healthcare and medical industries in terms of patient data analysis and the number of people requiring medical attention, AI has become a promising strategy for the future of medical delivery.

AI systems can provide real-time analysis of the doctor’s interactions with patients and make suggestions on how he could improve his care. AI chatbots can enhance resource efficiency, offer cost transparency, and guide customers toward lower-cost alternatives. With an accuracy rate of 98%, a US-based AI chatbot has been found to save consumers more than 60% of their time.

AI is being utilized to enhance medical services and assist healthcare practitioners in delivering high-quality care. Continue reading to find some examples of how AI is currently being used.

  • Remote patient monitoring

Remote patient monitoring (RPM) has become increasingly popular for managing minor ailments and chronic diseases. RPM technology enables health professionals to gather and transmit patient health data outside of clinical environments using advanced technology. This approach empowers healthcare providers and patients to proactively manage chronic conditions, improving health outcomes and reducing healthcare costs. Wearables are being used to collect patient information, such as heart rates, sleep patterns, and physical activity levels, which healthcare providers can access securely.

  • Analyzing health records

One of the most common applications of AI in healthcare is the use of machine learning algorithms to analyze vast amounts of medical data. This enables healthcare professionals to identify patterns and trends that can inform treatment decisions and improve patient care. Many organizations have started to use this AI-based analysis.

  • Medical training

Health information technology (HIT) is revolutionizing medical training by providing immersive and realistic experiences for healthcare practitioners. AI is used to deliver virtual reality (VR) simulations that simulate various medical procedures to offer a more realistic training experience. Nowadays, VR platforms are developed for healthcare professionals to practice different procedures.

  • Virtual assistants

Another way that AI is used in healthcare is through virtual assistants. These assistants utilize natural language processing to comprehend patients’ questions and provide answers based on their electronic health records. An app developed by the American Nurses Association offers nursing advice and guidance to patients 24/7.

  • Predictive analytics

AI-powered predictive analytics are also used by healthcare organizations to manage population health. This involves analyzing data from various sources, including electronic medical records, claims data, and patient surveys, to predict future health risks, analyze symptoms, and evaluate patients’ needs. Telehealth solutions can utilize AI to provide real-time insights to physicians during in-person consultations.

  • Telemedicine services

AI is also transforming healthcare delivery through telemedicine services that offer remote healthcare services to patients who live in remote areas or have difficulty traveling to see a healthcare provider. Machine learning algorithms analyze patient data in real-time to provide physicians with insights to improve care, and DrCare247 is one of the companies that employs machine learning to give doctors real-time information during consultations.

  • Accurate patient diagnosis

AI is poised to significantly improve the quality and accessibility of healthcare services, and telehealth is becoming more affordable and available. This trend will likely continue in the future, with more innovations expected to emerge in the healthcare industry.

  • Schedule hospital visits

One of the challenging tasks for patients is to schedule and attend hospital visits, and missing an appointment can jeopardize their health and incur additional costs for the healthcare system. To address this issue, some hospitals are using AI-powered chatbots to schedule and remind patients of their upcoming in-person visits or provide important health reminders. There are chatbots that use patients’ electronic health records to remind them of their appointments and facilitate check-in.

  • Medical aid for the elderly patients

The elderly often have complex medical needs, and AI is used to provide personalized medication recommendations and virtual assistants to help them with various tasks, including scheduling appointments, taking medication, and providing information about their health condition.

  • Improve patient outcomes

Hospital readmissions cost the healthcare system billions of dollars annually and can result in poorer patient outcomes. AI is used to provide real-time feedback to physicians by analyzing patient data to improve care delivery and reduce hospital readmissions. DrCare247 is one of the companies that offer such platforms.


AI is transforming healthcare by providing innovative solutions that improve the quality and accessibility of healthcare services. The advancements in AI have made telehealth more affordable and available, and we can expect to see more amazing innovations in healthcare in the future.