Building a Futuristic Telehealth Services Framework using Artificial Intelligence
The proliferation of AI in the telehealth technology (healthtech) industry unfolds a different perspective. In recent years, AI-powered bots are providing personalized online consultation to a majority of patients who own a smartphone. The quality of healthcare has improved significantly with the emergence of AI-driven medical support. From being a virtual reality in the pore-COVID years, AI-based telehealth is considered as the future of medicine. In fact, AI-based frameworks have strongly facilitated the growth of telehealth services across the world. But, what has the application of AI done in the broader sense to the healthcare industry?
AI in Telehealth Technology in 2023
The stage is set for the rapid adoption of AI-based technologies in healthcare. AI in telehealth is one of the most prolific areas of innovation, investment, and growth. For doctors as well as patients, AI is a boon. And, this is just the start. 79% of healthcare organizations are expected to increase their investments in AI-led telehealth technologies and administration. Nearly 40% of organizations are already using AI capabilities such as deep learning, NLP, and automation for patient health record documentation and text analytics, personalized recommendations, mobile wellness, medical imaging, patient flow optimization, and diagnostics and report generation.
In a true sense, AI has gradually emerged as a strong enabler in the telehealth segment. Transforming the entire business landscape related to healthcare operations, telehealth can be a proven option to improve patient convenience right from the doorstep.
IMPACT OF AI ON TELEHEALTH
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Is AI driving the accuracy of diagnosis?
Telemedicine is a well-designed aspect dominating patient diagnosis on a large scale. Online monitoring of diabetic retinopathy in the US, has proved to successfully reduce the physical footfalls of such patients. In fact, statistics available from the L.A. County Department of Health Services proved that telemedicine has reduced risks of travel for patients affected with retinopathy, thereby, reducing risks of operational disabilities. AI has been the core framework in designing a technology-based interactive interface to facilitate the system of diagnosing serious illnesses while continuing treatment processes.
But, can AI really help with the correct diagnosis of complicated diseases?
Imagery of data besides, predictive data modeling can largely help as explained by the experts. Reducing the scope of physical visits to doctors, AI has made healthcare available to the customer’s doorstep.
But, has AI brought in a cost-effective approach precisely?
Reducing physical visits of the patients to the POS (Hospitals/ Clinics etc.); AI technology has focussed more on patient convenience.
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Is AI helping doctors?
Reducing footfalls within hospitals through an AI-based telehealth service framework can actually help the doctors more than the patients. Helping doctors with effective time management, AI interventions can get things automated for mutual convenience. On the other hand, queuing up patients within a specified time limit enables doctors with the availability of valid data to plan in accordance with a patient’s requirements and the availability of desired services. AI, therefore, enables complete virtual assistance, and doctors can work in harmony without any major human support system.
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Is AI helping elderly patients?
Telehealth is often linked with telemedicine, assisting users to enhance the quality of engagement. Robo advisers could be deployed to help elderly patients in order to reach out to necessary support systems. In fact, Japan has been identified as a key market, investing resources, to develop robots to provide end-to-end assistance to the patients concerned.
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How is AI bringing in better convenience?
AI has opened up a world of possibilities to monitor the health of aged patients through a remote platform. Enabling data analysis and collaboration, patient monitoring has reached a new level, while AI-assisted augmented reality framework has defined end-to-end patient convenience.
Does AI simplify clinical processes?
The strategy to unleash predictive potential has helped in creating and executing a direct approach for successful treatment. In-person consultations are being reduced to a large extent, and AI in telehealth has changed the entire outlook of healthcare services across markets.
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Has AI made hospital visits easier?
AI has played a significant role in improving patient care services. Patient wait times have reduced significantly, ensuring less frustration and anxiety when visiting the clinic or hospital for various ailments or follow-up checkups. AI has improved service patterns, in entirety, be it ambulance services or blood collection requirements through an augmented reality-based support system.
CONCLUSION
The significance of AI in telehealth is still in a nascent stage. AI could be used to reduce operational expenses related to healthcare services while differentiating a healthcare brand in terms of cost leadership and effectiveness of operations. Decreasing patient wait times, while recommending the available options for optimal treatment has validated such technology interventions in the first place. Going forward it is explained that AI has validated a complete accessibility of service from the customer’s doorstep in continuity. Reducing the risk of painful and invasive treatments during the initial phase, AI enablers in healthcare define convenience on a larger scale.
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