The Performance of BCMA-Aided Healthcare Service: Implementation Factors and Results

  • Authors:

  • Renran Tian;Vincent G. Duffy;Carol Birk;Steve R. Abel;Kyle Hultgren

  • Affiliations:

  • School of Industrial Engineering, Purdue University, West Lafayette, 47907;School of Industrial Engineering, Purdue University, West Lafayette, 47907 and School of Agricultural & Biological Engineering, Purdue University, West Lafayette, 47907 and Regenstrief Center for ...;School of Pharmacy and Pharmaceutical Sciences, Purdue University, West Lafayette, 47907 and Pharmacy Technical Assistance Program, Purdue University, Indianapolis, 46278;School of Pharmacy and Pharmaceutical Sciences, Purdue University, West Lafayette, 47907;Pharmacy Technical Assistance Program, Purdue University, Indianapolis, 46278

  • Venue:
  • ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Bar Code Medication Administration (BCMA) system has been adopted by healthcare providers. Besides its benefits in reducing medication errors, cost and time, various side effects and new medication errors have been reported; however, the nature of the new problems has not been studied systematically. Although there are many studies focusing on IT implementation, very few studies addressing technology acceptance have been done in healthcare context. Due to the complex and dynamic features of the healthcare system, it is necessary to study how new technology acceptance models can be applied in this field. In this study, a model related to BCMA implementation will be constructed to enable the prediction and control of medication error reduction and side effects generation. To achieve that, the relationship between different implementation measures will be studied, and then predictive variables will be selected to construct the model for different measures.