We actually use the artificial intelligence tools to come up with all those criteria where the patients can have complications like cytokine release syndrome, ICANS, and we actually predict them into the machine learning algorithms. What we find out, the distance to the healthcare facility, that’s number one criteria that we have been seeing as challenging, especially all the patients who have comorbidities, difficult to access to the main center, it’s the number one...
We actually use the artificial intelligence tools to come up with all those criteria where the patients can have complications like cytokine release syndrome, ICANS, and we actually predict them into the machine learning algorithms. What we find out, the distance to the healthcare facility, that’s number one criteria that we have been seeing as challenging, especially all the patients who have comorbidities, difficult to access to the main center, it’s the number one. Number two is the disease status. If somebody is crashing, has an aggressive disease, and we know that they are at a higher risk of CRS, those do benefit from inpatient hospitalizations. So you actually score them. Each has a category to score them. And then if your score is higher, then the clinicians will have an idea like who needs to get admitted and who needs to be managed as an outpatient. If somebody has a low score, you can manage them safely as an outpatient. But if somebody has a high score, lack of caregiver, distance, disease characteristics, those are the patients that require hospitalization. It’s important that we should have a step-up dosing because of the guidelines, but it will help us because more and more academic centers are starting to do this as an outpatient. That will be an encouraging sign. And what will happen is that the community centers will learn from academic centers and how they are doing it. At our centers, we’ve been doing this as an outpatient and trying to get these patients treated as outpatients, people learn from experience, and that’s how we did it, and how many patients have complications, so then I think you can imply those things into their best practices as well.
This transcript is AI-generated. While we strive for accuracy, please verify this copy with the video.