Unknown

Dataset Information

0

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


ABSTRACT: Artificial intelligence (AI) digital health systems 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 systems, and the barriers facing their implementation into medical practice. The development of second-generation AI systems is discussed with a focus on overcoming some of these obstacles. Second-generation systems are aimed at focusing on a single subject and on improving patients' clinical outcomes. 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 systems are expected to assist patients and providers in adopting and implementing of these systems into everyday care.

SUBMITTER: Ilan Y 

PROVIDER: S-EPMC8521820 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC9652401 | biostudies-literature
| S-EPMC9816956 | biostudies-literature
| S-EPMC11012307 | biostudies-literature
| S-EPMC7462056 | biostudies-literature
| S-EPMC11009856 | biostudies-literature
| S-EPMC11440562 | biostudies-literature
| S-EPMC8459217 | biostudies-literature
| S-EPMC3440007 | biostudies-literature
| S-EPMC10861520 | biostudies-literature
| S-EPMC9512708 | biostudies-literature