title: Using technology to reduce readmissions.
abstract: The most effective readmission-prevention technologies include capabilities to: Accurately predict risk and stratify patients Synthesize compartmentalized data, both structured and unstructured, in real time and transform the data into actionable insights. Streamline workflow to shift time toward higher impact activities. Bridge care and communication across the continuum.
authors.affiliation: The Advisory Board Company, Washington, DC, USA. harvathb@advisory.com
authors.forename: Barbara S
authors.initials: BS
authors.lastname: Harvath
authors.affiliation: The Advisory Board Company, Washington, DC, USA.
authors.forename: Karoline
authors.initials: K
authors.lastname: Hilu
authors.affiliation: The Advisory Board Company, Washington, DC, USA.
authors.forename: Ravi
authors.initials: R
authors.lastname: Nemana
authors.affiliation: The Advisory Board Company, Washington, DC, USA.
authors.forename: Ramesh
authors.initials: R
authors.lastname: Sairamesh
mesh_terms: D020811:Biomedical Technology; D003142:Communication; D017598:Efficiency, Organizational; D057286:Electronic Health Records; D005544:Forecasting; D006801:Humans; D010359:Patient Readmission / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D018570:Risk Assessment; D014481:United States