title: Harnessing big data for health care and research: are urologists ready?
abstract: We are at a crossroads in terms of the data we collect and how they are analyzed. In health care, big data analytics may uncover associations, patterns, and trends with the potential to advance patient care and lower costs. To adapt to this approach, urologists will have to ask the right questions.
authors.affiliation: Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Healthcare System, Ann Arbor, MI, USA. Electronic address: kghani@med.umich.edu.
authors.forename: Khurshid R
authors.initials: KR
authors.lastname: Ghani
authors.affiliation: Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
authors.forename: Kai
authors.initials: K
authors.lastname: Zheng
authors.affiliation: Dow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, MI, USA.
authors.forename: John T
authors.initials: JT
authors.lastname: Wei
authors.affiliation: Department of Learning Health Sciences, Schools of Information and Public Health, University of Michigan, Ann Arbor, MI, USA.
authors.forename: Charles P
authors.initials: CP
authors.lastname: Friedman
mesh_terms: D001185:Artificial Intelligence; D035843:Biomedical Research; D057225:Data Mining; D057286:Electronic Health Records; D006801:Humans; D008490:Medical Informatics; D012042:Registries; D061108:Social Media; D014572:Urology