Watch the full interview from Healthcare IT about ChatGPT for un-diagnosed patients with Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1.
The road to diagnosis can be taxing for patients and once diagnosed, personalized treatment plans are still created with an element of guess work. Automation and artificial intelligence (AI) are the future in helping clinicians understand patterns in un-diagnosed patients, leading to faster diagnoses and the most effective treatment plans. AI provides clinicians with a birds-eye view on patterns across patients with similar stages of diagnosis to understand earlier who will end up with a condition. Similarly, by bridging population data to the personal level, AI can determine which treatments will have the greatest efficacy for patients and if they’re likely to be adherent or experience adverse events. As we look to the future, automation will only continue to make waves in healthcare.
ChatGPT is currently dominating the media landscape and will undoubtedly be a powerful tool that’ll get more important in the future. However, while automation and AI can benefit physicians and patients alike, it’s imperative to think critically and carefully on integrating these tools at the right points in the clinical workflow and patient journey. ‘Disruption’ can be valuable in advancing clinical care, but along the way, we can’t disrupt ongoing care in ways that cause friction for patients or increasing burdens for clinicians.