The potential of artificial intelligence (AI) in the management of rheumatoid arthritis (RA) is a game-changer for improving patient care, according to S Louis Bridges Jr, MD, PhD, professor of medicine at the Hospital for Special Surgery. The current use of AI in RA management is showing promise, with plenty of room for growth and innovation in utilizing AI tools for a more comprehensive approach.
In a recent interview with HCPLive, Bridges discussed his presentation at the American College of Rheumatology State-of-the-Art (ACR-SOTA) conference, focusing on the role of artificial intelligence in RA management.
One key area of advancement is the integration of patient-generated data from devices like Fitbits and smartphones to monitor activity levels. By incorporating this data into electronic health records (EHRs) alongside patient-reported outcomes, a more holistic view of a patient’s health status between clinic visits can be achieved. For example, integrating self-reported questionnaires directly into EHRs via smartphones can provide real-time insights into a patient’s well-being and medication adherence, essential for effective RA management.
Predictive analytics is another promising area within AI for RA management. AI algorithms can analyze vast datasets to predict disease flares, evaluate risks of radiographic damage, and recommend personalized treatment options based on individual patient profiles. This predictive capability enables clinicians to address potential issues proactively and optimize treatment strategies for better patient outcomes.
However, with the significant opportunities AI brings, it is crucial to prioritize data accuracy and privacy. While large language models like ChatGPT can aid clinicians in various tasks, verifying outputs and avoiding sharing protected health information is essential to comply with regulations such as the Health Insurance Portability and Accountability Act (HIPAA).
Looking ahead, fostering partnerships among patients, clinicians, and researchers will be vital in fully leveraging AI’s potential in RA management. Collaborative efforts can drive innovations that enhance patient care, promote longevity, improve quality of life, and reduce treatment-related burdens, aligning with healthcare providers’ goal to optimize patient outcomes. The evolving landscape of AI in RA management signals an exciting and transformative era in healthcare delivery.
It’s important to note that Bridges has no relevant disclosures to report.
