title: Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance.
abstract: Accurate real-time monitoring systems of influenza outbreaks help public health officials make informed decisions that may help save lives. We show that information extracted from cloud-based electronic health records databases, in combination with machine learning techniques and historical epidemiological information, have the potential to accurately and reliably provide near real-time regional estimates of flu outbreaks in the United States.
authors.affiliation: Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.|Harvard Medical School, Boston, MA, USA.|Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA.
authors.forename: M
authors.initials: M
authors.lastname: Santillana
authors.affiliation: Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA.
authors.forename: A T
authors.initials: AT
authors.lastname: Nguyen
authors.affiliation: Harvard School of Public Health, Boston, MA, USA.
authors.forename: T
authors.initials: T
authors.lastname: Louie
authors.affiliation: athenaResearch at athenahealth, Watertown, MA, USA.
authors.forename: A
authors.initials: A
authors.lastname: Zink
authors.affiliation: athenaResearch at athenahealth, Watertown, MA, USA.
authors.forename: J
authors.initials: J
authors.lastname: Gray
authors.affiliation: athenaResearch at athenahealth, Watertown, MA, USA.
authors.forename: I
authors.initials: I
authors.lastname: Sung
authors.affiliation: Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.|Harvard Medical School, Boston, MA, USA.
authors.forename: J S
authors.initials: JS
authors.lastname: Brownstein
mesh_terms: D000067917:Cloud Computing; D057286:Electronic Health Records; D005843:Geography; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology*; D016014:Linear Models; D011159:Population Surveillance; D012621:Seasons