How to Assess the Acceptance of an Electronic Health Record System?

Being able to access a patient’s clinical data in due time is critical to any medical setting. Clinical data is very diverse both in content and in terms of which system produces it. The Electronic Health Record (EHR) aggregates a patient’s clinical data and makes it available across different systems. Considering that user’s resistance is a critical factor in system implementation failure, the understanding of user behavior remains a relevant object of investigation. The purpose of this paper is to outline how we can assess the technology acceptance of an EHR using the Technology Acceptance Model 3 (TAM3) and the Delphi methodology. An assessment model is proposed in which findings are based on the results of a questionnaire answered by health professionals whose activities are supported by the EHR technology. In the case study simulated in this paper, the results obtained showed an average of 3 points and modes of 4 and 5, which translates to a good level of acceptance.

[1]  Mauro Zackiewicz,et al.  Technological Foresight – Um instrumento para política científica e tecnológica , 2010 .

[2]  Filipe Portela,et al.  Assessment of Technology Acceptance in Intensive Care Units , 2014, Int. J. Syst. Serv. Oriented Eng..

[3]  Priyanka Surendran,et al.  Technology Acceptance Model: A Survey of Literature , 2012 .

[4]  Joseph K. Tan.  E-Health Care Information Systems: An Introduction for Students and Professionals , 2005 .

[5]  Filipe Portela,et al.  Information Systems Assessment in Pathologic Anatomy Service , 2015, WorldCIST.

[6]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[7]  P. Shekelle,et al.  Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care , 2006, Annals of Internal Medicine.

[8]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[9]  J Bion,et al.  Organisation of intensive care , 1999, BMJ.

[10]  I. Hațieganu,et al.  PEARSON VERSUS SPEARMAN, KENDALL'S TAU CORRELATION ANALYSIS ON STRUCTURE-ACTIVITY RELATIONSHIPS OF BIOLOGIC ACTIVE COMPOUNDS , 2005 .

[11]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[12]  Filipe Portela,et al.  Step Towards a Patient Timeline in Intensive Care Units , 2015, CENTERIS/ProjMAN/HCist.

[13]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..