AUTHOR=Ilan Yaron 

TITLE=Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 2 - 2020

YEAR=2020

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2020.569178

DOI=10.3389/fdgth.2020.569178

ISSN=2673-253X

ABSTRACT=Artificial intelligence (AI) digital health platforms have drawn much attention over the last decade. However, their implementation into medical practice occurs at a much slower pace than expected. This paper reviews some of the achievements of first-generation AI algorithms, and the barriers facing their implementation into medical practice. The development of second-generation AI platforms is discussed with a focus on overcoming some of these obstacles. Second-generation algorithms are aimed at focusing on a single subject and on improving patients’ clinically meaningful endpoints. A personalized closed-loop system designed to improve end-organ function and the patient's response to chronic therapies is presented. The system introduces a platform which implements a personalized therapeutic regimen and introduces quantifiable individualized-variability patterns into its algorithm. The platform is designed to achieve a clinically meaningful endpoint by ensuring that chronic therapies will have sustainable effect while overcoming compensatory mechanisms associated with disease progression and drug resistance. Second-generation platforms are expected to assist patients and providers in adopting and implementing of these systems into everyday care.