Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.

Journal: Artificial intelligence in medicine
Published Date: Jul 1, 2018

Abstract

BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records, and is therefore difficult for caregivers to combine and analyze. One possible solution to overcome these limitations is the interconnection of medical devices via the Internet using a distributed platform, namely the Internet of Things. This approach allows data from different sources to be combined in order to better diagnose patient health status and identify possible anticipatory actions.

Authors

  • Cristiano André da Costa
    Software Innovation Laboratory (SOFTWARELAB), Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo 93022-750, Brazil. Electronic address: cac@unisinos.br.
  • Cristian F Pasluosta
    Electronics Core-Medical Device Solutions, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Björn Eskofier
    Machine Learning and Data Analytics Lab., Department of Computer Science, Friedrich Alexander University Erlangen-Nürnberg (FAU), Erlangen 91058, Germany. Electronic address: bjoern.eskofier@fau.de.
  • Denise Bandeira da Silva
    Software Innovation Laboratory (SOFTWARELAB), Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo 93022-750, Brazil. Electronic address: bandeira@unisinos.br.
  • Rodrigo da Rosa Righi
    Software Innovation Laboratory (SOFTWARELAB), Applied Computing Graduate Program, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo 93022-750, Brazil. Electronic address: rrrighi@unisinos.br.

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