TY - GEN
T1 - Assessing the need of decision-making frameworks to guide the adoption of health information systems in healthcare
AU - Abbas, Raja Manzar
AU - Carroll, Noel
AU - Richardson, Ita
N1 - Publisher Copyright:
© 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Hospital Information System (HIS) is important in the healthcare industry as it supports a wide range of highly specialized health-care tasks, services and provide high-quality patient care. Adoption of HIS is one of the key decisions by hospital management, yet the function of hospital decision-makers within the area of new technology adoption, specifically the decision-making processes in the adoption of HIS remains unsupported. To investigate this phenomenon, this paper identifies HIS decision-making theories, their short-coming of adoption in healthcare organisations and decision-making facets that influence the adoption. These review will shed some light for future researchers to conceptualize, distinguish and comprehend the underlying HIS decision-making models and theories that may affect the future application of HIS adoption. A literature search was conducted to identify studies presenting HIS decision-making adoption theories/models in a healthcare environment. From synthesis of 26 studies, we identified five major facets that provides a structure to organize and capture information on the decision-making and adoption of HIS. The themes presented here provide a starting point in understanding the decision-making adoption theories, their major facets and their short-coming in adopting HIS. This will facilitate our future research on decision-making framework for the adoption of HIS.
AB - Hospital Information System (HIS) is important in the healthcare industry as it supports a wide range of highly specialized health-care tasks, services and provide high-quality patient care. Adoption of HIS is one of the key decisions by hospital management, yet the function of hospital decision-makers within the area of new technology adoption, specifically the decision-making processes in the adoption of HIS remains unsupported. To investigate this phenomenon, this paper identifies HIS decision-making theories, their short-coming of adoption in healthcare organisations and decision-making facets that influence the adoption. These review will shed some light for future researchers to conceptualize, distinguish and comprehend the underlying HIS decision-making models and theories that may affect the future application of HIS adoption. A literature search was conducted to identify studies presenting HIS decision-making adoption theories/models in a healthcare environment. From synthesis of 26 studies, we identified five major facets that provides a structure to organize and capture information on the decision-making and adoption of HIS. The themes presented here provide a starting point in understanding the decision-making adoption theories, their major facets and their short-coming in adopting HIS. This will facilitate our future research on decision-making framework for the adoption of HIS.
KW - Adoption Theories
KW - Decision-making Theories
KW - Healthcare Information System
UR - http://www.scopus.com/inward/record.url?scp=85064673466&partnerID=8YFLogxK
U2 - 10.5220/0007363202390247
DO - 10.5220/0007363202390247
M3 - Conference contribution
AN - SCOPUS:85064673466
T3 - HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
SP - 239
EP - 247
BT - HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
A2 - Moucek, Roman
A2 - Fred, Ana
A2 - Gamboa, Hugo
PB - SciTePress
T2 - 12th International Conference on Health Informatics, HEALTHINF 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
Y2 - 22 February 2019 through 24 February 2019
ER -