Recent US Food and Drug Administration Efforts to Integrate the Patient's Perspective in Drug Development and Decision Making

2019 ◽  
Vol 105 (4) ◽  
pp. 789-791 ◽  
Author(s):  
Theresa Mullin ◽  
Pujita Vaidya ◽  
Meghana Chalasani
Author(s):  
Emily S. Patterson ◽  
C.J. Hansen ◽  
Theodore T. Allen ◽  
Qiwei Yang ◽  
Susan D. Moffatt-Bruce

There is growing interest in using AI-based algorithms to support clinician decision-making. An important consideration is how transparent complex algorithms can be for predictions, particularly with respect to imminent mortality in a hospital environment. Understanding the basis of predictions, the process used to generate models and recommendations, how to generalize models based on one patient population to another, and the role of oversight organizations such as the Food and Drug Administration are important topics. In this paper, we debate opposing positions regarding whether these algorithms are ‘ready yet’ for use today in clinical settings for physicians, patients and caregivers. We report voting results from participating audience members in attendance at the conference debate for each of these positions obtained real-time from a smartphone-based platform.


2020 ◽  
Vol 109 (1) ◽  
pp. 123-130
Author(s):  
Lingshan Wang ◽  
Kimberly Maxfield ◽  
Daphne Guinn ◽  
Rajanikanth Madabushi ◽  
Issam Zineh ◽  
...  

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