Author:
McLachlan Scott,Dube Kudakwashe,Buchanan Derek,Lean Stephen,Johnson Owen,Potts Henry,Gallagher Thomas,Marsh William,Fenton Norman
Abstract
The learning health system (LHS) is one in which progress in science, informatics and care culture converges to continuously create new knowledge as a natural by-product of care processes. While LHS was first described over a decade ago, much of the recent published work that should fall within the domain of LHS fails to claim or be identified as such. This observation was confirmed through a review of papers published at the recent 2017 IEEE International Conference on Health Informatics (ICHI 2017), where no single LHS solution had been so identified. The authors lacked awareness that their work represented an LHS, or of any discrete classification for their work within the LHS domain. We believe this lack of awareness inhibits continued LHS research and prevents formation of a critical mass of researchers within the domain. Efforts to produce a framework and classification structure to enable confident identification of work with the LHS domain are urgently needed to address this pressing research community challenge.
Subject
Health Information Management,Health Informatics,Computer Science Applications
Reference9 articles.
1. IoM Digital infrastructure for the learning health system: the foundation for continuous improvement in health and health care 2011. Accessed 12 September 2017; Retrieved from: https://www.ncbi.nlm.nih.gov/books/NBK83569/pdf/Bookshelf_NBK83569.pdf
2. 2017 IEEE Proceedings of the 5th International Conference on Healthcare Informatics 23–26 Aug Park City, UT
3. Medical Informatics Europe (MIE) – Informatics for Health 2017: advancing both science and practice;Scott;Journal of Innovation in Health Informatics,2017
4. Fusing Randomized Trials With Big Data
5. Can big data transform electronic health records into learning health systems?;Harper;Nursing Informatics,2014
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献