Health intelligence: how artificial intelligence transforms population and personalized health

Shaban-Nejad, Arash; Michalowski, Martin; Buckeridge, David L.

doi:10.1038/s41746-018-0058-9

Health intelligence: how artificial intelligence transforms population and personalized health

Journal Article · Tue Oct 02 00:00:00 EDT 2018 · npj Digital Medicine

DOI:https://doi.org/10.1038/s41746-018-0058-9· OSTI ID:1629423

^[1]; ^[2]; Buckeridge, David L. ^[3]

Department of Pediatrics, University of Tennessee Health Science Center – Oak Ridge National Laboratory (UTHSC-ORNL) Center for Biomedical Informatics, Memphis, TN (United States); University of Tennessee Health Science Center
Univ. of Minnesota, Minneapolis, MN (United States). School of Nursing
McGill Univ., Montreal, Quebec, Canada. Dept. of Epidemiology, Biostatistics and Occupational Health

Advances in computational and data sciences for data management, integration, mining, classification, filtering, visualization along with engineering innovations in medical devices have prompted demands for more comprehensive and coherent strategies to address the most fundamental questions in health care and medicine. Theory, methods, and models from artificial intelligence (AI) are changing the health care landscape in clinical and community settings and have already shown promising results in multiple applications in healthcare including, integrated health information systems, patient education, geocoding health data, social media analytics, epidemic and syndromic surveillance, predictive modeling and decision support, mobile health, and medical imaging (e.g. radiology and retinal image analyses). Health intelligence uses tools and methods from artificial intelligence and data science to provide better insights, reduce waste and wait time, and increase speed, service efficiencies, level of accuracy, and productivity in health care and medicine.

Research Organization:: Oak Ridge National Lab (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1629423

Journal Information:: npj Digital Medicine, Journal Name: npj Digital Medicine Journal Issue: 1 Vol. 1; ISSN 2398-6352

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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