> How is AI Revolutionizing Patient Care?
According to forecasts, the global Healthcare Artificial Intelligence (AI) market will be worth almost 188 billion U.S. dollars by 2030, increasing at a compound annual growth rate of 37 percent from 2023 to 2030. As technology continues to advance at an unprecedented rate, AI and robotics have emerged as game-changers in the healthcare industry by transforming patient care and improving overall health outcomes.
So how is AI reshaping the healthcare landscape?
Robotic-assisted surgical procedures have become increasingly common. For example, surgeons’ operative experience has differed considerably with robotics and AI involved. Improved ergonomics by enabling surgeons to sit at a customizable console—and to operate with increased dexterity, tremor reduction, 3D visualization, up to 10 times magnification, and control of 4 arms—are all ways that simplify minimally invasive surgery (MIS).
Robotic surgery relies on AI absorbing significantly higher volumes of data which can be utilized as a learning tool for surgeons at all stages of their careers. From educating physicians on different methodologies to centralizing access for surgeons in developing regions, AI is reshaping the way physicians learn, practice and perfect their surgical skills.
Automated Medical Coding
Automated medical coding offers various advantages to healthcare organizations, including improved accuracy and consistency by reducing human errors and ensuring compliance with coding standards, increased efficiency and productivity by saving time and speeding up the billing process, and enhanced data quality and analysis for improved decision-making.
The integration of AI and wearables allows for the collection, analysis, and interpretation of vast amounts of patient data, enabling healthcare professionals to provide more precise and personalized care. Wearables, such as smartwatches, track various physiological parameters like heart rate, sleep patterns, and physical activity, while AI algorithms process this data to provide meaningful insights.
A range of AI tools are revolutionizing nearly every stage of the drug discovery process, offering substantial potential to reshape the speed and economics of the industry.
Enhanced Patient Monitoring
Generative AI can help overcome a number of challenges by using natural language processing (NLP) models to generate text or speech that can summarize medical data,
explain diagnoses and treatment options, ask relevant questions to the patient or wearable devices and provide recommendations to the clinician.
Remote Patient Management
AI-powered wearables paired with telemedicine platforms allow healthcare providers to remotely monitor patients and provide timely interventions. Patients in rural or remote areas can benefit from such technologies by receiving virtual consultations, reducing the need for physical travel to healthcare facilities.
Coders play an essential role in the development of these technologies by contributing their expertise in AI algorithms, data analysis, and user experience. As AI continues to evolve, so does the role of coders in healthcare, shaping a future where patient care is enhanced, and health outcomes are optimized.