As mentioned in my previous newsletter, AI is revolutionizing the healthcare industry, but the inclusion of human expertise has been crucial to this process. The field of personalized medicine is one area that has greatly benefited from this partnership. AI and individualized treatment ensure effective strategies are chosen that will minimize side effects.
Ways in Which AI Has Contributed to Individualized Treatment
- Collation of large amounts of data. Sources for this data include electronic health records (EHRs), medical imaging, wearable device data, and population genomics.
- Identification of patterns that can be used for predictive analysis. For instance, high risk patients who may benefit from early intervention can be flagged. AI can help us more accurately diagnose and predict who might respond to treatment. In addition, identification of patient-specific genetic markers or mutations may guide therapy selection.
- Monitoring and adjustment. Once a patient is started on treatment, AI can check real-time data, allowing for adaptation of the plan.
- Healthcare accessibility. Telehealth provides greater accessibility to healthcare resources while reducing costs.
Human Oversight is Integral to This Process
- Ensure that the algorithms are evidence-based, drawing on the latest studies and treatment guidelines.
- Review for appropriateness and safety, considering the patient’s demographics and individual preferences.
- Protect patient rights and privacy.
An Example
Below is an example of how a personalized treatment plan is developed for Sara who has recently been referred to the breast cancer center.
Sara meets with a multidisciplinary team that will address both her physical and emotional needs and guide her through this stressful journey. She is scheduled for a biopsy and undergoes genetic testing. Once the results are in, her team makes a recommendation for surgery, targeted chemotherapy, and radiation based on her specific gene mutation. Finally, they tell her that their predictive modeling shows her prognosis is good. Sara agrees to this plan because she is mid-60s and relatively healthy. She will be monitored along the way with adjustments being made based on how well the cancer responds and how well she tolerates the treatments.
In summary, Sara is receiving care that is truly individualized and patient-centered, made possible by the partnership of AI and healthcare professionals.
As a pharmacist, I am particularly well-suited to providing input on AI-assisted healthcare. Additionally, I can help you train your AI system to promote better patient engagement and empowerment and help you discover how to use AI to improve your outcomes.