Colicchio Tiago K, Del Fiol Guilherme, Cimino James J
Informatics Institute University of Alabama at Birmingham Birmingham Alabama.
Department of Biomedical Informatics University of Utah Salt Lake City Utah.
Learn Health Syst. 2019 Nov 20;4(1):e10207. doi: 10.1002/lrh2.10207. eCollection 2020.
After over half a century of computer application development in medicine, the US health system has gone digital with an enthusiastic confidence for rapid improvements in care outcomes, especially those of quality of care, safety, and productivity. The bad news is that evidence for the justification of the hype around health information technology (HIT) is conflicting, and the expected benefits of a digital health system have not yet materialized. We propose a national system for monitoring HIT impact based on the paradigm of the learning health system (LHS): learning from practical experience through high-quality, ongoing monitoring of care outcomes. Our proposal aims at leveraging current de facto standard research data repositories used to support large-scale clinical studies by incorporating data needed for more robust HIT assessments and application of rigorous research designs that are now feasible on a large scale.
在医学领域经过半个多世纪的计算机应用开发后,美国医疗系统已走向数字化,并满怀热情地坚信护理结果,尤其是医疗质量、安全性和生产力方面能迅速得到改善。坏消息是,围绕健康信息技术(HIT)大肆炒作的合理性证据相互矛盾,数字医疗系统的预期效益尚未实现。我们提议建立一个基于学习型健康系统(LHS)范式的全国性HIT影响监测系统:通过对护理结果进行高质量的持续监测,从实践经验中学习。我们的提议旨在利用当前用于支持大规模临床研究的事实上的标准研究数据存储库,纳入更有力的HIT评估所需的数据,并应用目前在大规模上可行的严格研究设计。