title: Representing resuscitation data-Considerations on efficient analysis of quality of cardiopulmonary resuscitation.
abstract: OBJECTIVE
  To discuss challenges in representing resuscitation data from Utstein style reports and devices like defibrillators with focus on unified and efficient handling of variety of resuscitation research objectives.
  
  
  RESULTS
  Information on therapy such as shock delivery, chest compressions and ventilation can be extracted from defibrillators. A method for merging this information with cardiac rhythm annotated from ECGs, yields a representation of the resuscitation episode with cardiac rhythm also giving information on response to therapy. These data should be synchronised to an electronic Utstein report. With modern technology for communicating information it is possible to structure, store and transport data flexibly so that data captured with devices from different manufacturers can be combined.
  
  
  CONCLUSIONS
  A scheme for representing resuscitation data should combine essential information stored in different locations after a resuscitation attempt. The resulting representation should enable data analysis to enable studies of the relationship between therapy and patient response. As the complexity and amount of data generated during resuscitation efforts are ever increasing, the time is mature for using modern information technology tools to provide infrastructure for efficient data management and analysis to identify and meet future challenges in resuscitation data analysis.
authors.affiliation: Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway. trygve.eftestol@uis.no
authors.forename: Trygve
authors.initials: T
authors.lastname: Eftestøl
authors.forename: Kari Anne Haaland
authors.initials: KA
authors.lastname: Thorsen
authors.forename: Erlend
authors.initials: E
authors.lastname: Tøssebro
authors.forename: Chunming
authors.initials: C
authors.lastname: Rong
authors.forename: Petter Andreas
authors.initials: PA
authors.lastname: Steen
mesh_terms: D016887:Cardiopulmonary Resuscitation / Q000379:methods / Q000592:standards / Q000706:statistics & numerical data; D001330:Electronic Data Processing / Q000379:methods*; D006323:Heart Arrest / Q000628:therapy*; D006801:Humans; D007256:Information Systems / Q000592:standards*; D011785:Quality Assurance, Health Care; D015203:Reproducibility of Results