Potential impact of advanced clinical information technology on healthcare in 2015.
Clinical information technologies now sporadically available will soon be in routine clinical use, bringing many changes to healthcare. For example, 1) The next generation Internet; 2) Real-time clinical decision support systems; 3) Off-line, population-based systems; 4) Large, integrated, individual patient-level phenotypic and genotypic databases with intelligent data mining capabilities; 5) Wireless, invasive and non-invasive physiologic monitoring devices; 6) Natural Language Processing (NLP) systems; and 7) Mathematical models of complex biological systems have the potential to impact significantly the future healthcare delivery system. While new information management and communication techniques and technologies will reduce many of the inefficiencies and inaccuracies of our present systems, there will be an equal, and potentially far more dangerous, set of unintended consequences. Informatics investigators and health system administrators must focus on the study of what is working and what is not, as well as, on development and testing of the new clinical information management and communication technologies, if we are to be ready for the future.
Sittig
Dean F
DF
Clinical Informatics Research Network, Kaiser Permanente, Portland, OR, USA.
D019992:Databases as Topic / Q000639:trends; D020000:Decision Support Systems, Clinical / Q000639:trends; D003695:Delivery of Health Care / Q000639:trends*; D005544:Forecasting; D006801:Humans; D007256:Information Systems / Q000639:trends*; D020407:Internet / Q000639:trends; D008954:Models, Biological; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000639:trends; D009323:Natural Language Processing