S Louis Bridges Jr, MD, PhD, Physician-in-Chief and Chair of the Department of Medicine at HSS discusses the integration of artificial intelligence (AI) in rheumatoid arthritis (RA) management and it's vast potential for improving patient care. Currently, its use in RA management is at a promising stage, as there is immense scope for growth and innovation in leveraging AI tools for a more comprehensive approach.

One key area of potential advancement is the utilization of patient-generated data from devices like Fitbits and smartphones to track activity levels. Incorporating this data into electronic health records (EHRs) alongside patient-reported outcomes could provide a more holistic view of a patient's health status between clinic visits. For instance, Dr. Bridges states, integrating self-reported questionnaires directly into EHRs via smartphones can offer real-time insights into a patient's well-being and medication adherence, which is crucial in managing RA effectively.

Predictive analytics is another promising area within AI for RA management. By analyzing vast datasets, AI algorithms can help predict disease flares, radiographic damage risks, and even recommend personalized treatment options based on individual patient profiles. This predictive capability empowers clinicians to proactively address potential issues and optimize treatment strategies for better patient outcomes.

Read the full article at hcplive.com.