TY - GEN
T1 - Modelling care pathways in a connected health setting
AU - O’Leary, Padraig
AU - Buckley, Patrick
AU - Richardson, Ita
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014.
PY - 2014
Y1 - 2014
N2 - Connected Health involves the use of ICT to improve healthcare quality and outcomes. In a connected heath environment, stakeholders can struggle to make best use of this information coming from a variety of sources. Given this, we are investigating the challenge of how to use available information to make informed decisions about the care pathway which the patient should follow to ensure that prevention and treatment services are efficient and effective. In this paper, we outline our research into care pathway and information modelling in a Connected Health setting. The research is currently underway, and follows a series of stages using sources in industry and academia. In this paper, we present an overview of the project work packages including an explanation on how the different stages of the research form a continuum in which the developed models will be continually adjusted. We describe how empirical evidence will be used in the development of the models through following an evolutionary multi-method research approach.
AB - Connected Health involves the use of ICT to improve healthcare quality and outcomes. In a connected heath environment, stakeholders can struggle to make best use of this information coming from a variety of sources. Given this, we are investigating the challenge of how to use available information to make informed decisions about the care pathway which the patient should follow to ensure that prevention and treatment services are efficient and effective. In this paper, we outline our research into care pathway and information modelling in a Connected Health setting. The research is currently underway, and follows a series of stages using sources in industry and academia. In this paper, we present an overview of the project work packages including an explanation on how the different stages of the research form a continuum in which the developed models will be continually adjusted. We describe how empirical evidence will be used in the development of the models through following an evolutionary multi-method research approach.
UR - http://www.scopus.com/inward/record.url?scp=84927674452&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53956-5_3
DO - 10.1007/978-3-642-53956-5_3
M3 - Conference contribution
AN - SCOPUS:84927674452
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 32
EP - 40
BT - Foundations of Health Information Engineering and Systems - 3rd International Symposium, FHIES 2013, Revised Selected Papers
A2 - Gibbons, Jeremy
A2 - MacCaull, Wendy
PB - Springer Verlag
T2 - 3rd International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2013
Y2 - 21 August 2013 through 23 August 2013
ER -