Title: A grounded model of technology adoption capabilities: care coordination and health IT

Authors: Nima A. Behkami; Tugrul U. Daim; David A. Dorr

Addresses: Department of Engineering and Technology Management, Maseeh College of Engineering and Computer Science, Portland State University, P.O. Box 751, Portland, Oregon 97207-0751, USA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, 3181 S.W. Sam Jackson Park Rd., Portland, Oregon 97239-309, USA. ' Department of Engineering and Technology Management, Maseeh College of Engineering and Computer Science, Portland State University, P.O. Box 751, Portland, Oregon 97207-0751, USA. ' Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, 3181 S.W. Sam Jackson Park Rd., Portland, Oregon 97239-309, USA

Abstract: The general objective of this feasibility study is to demonstrate the plausibility of developing organisational capabilities-based framework and demonstrate that the right mix of theories and methodologies have been considered. The small field study was conducted at Oregon Health and Science University (OHSU) with the Care Management Plus (CMP) Team. CMP is an evidence-based HIT application for older adults and chronically ill patients with multiple conditions and the innovation includes software, clinic processes and training. Use of qualitative research-based case study, with application of diffusion theory and dynamic capabilities using the unified modelling language (UML) notation are demonstrated in this field study. In the following sections, data collection, analysis, results, conclusions and limitations of research along with propositions for future research are discussed.

Keywords: health services; ICT; information technology; communications technology; organisational capabilities; technology adoption; care coordination; object-oriented systems; grounded models; feasibility studies; capabilities-based frameworks; Oregon Health and Science University; OHSU; USA; United States; Care Management Plus; CMP; medical teams; evidence-based applications; older adults; old people; elderly people; chronically ill patients; multiple conditions; chronic illnesses; software; clinic processes; staff training; qualitative research; UML notation; unified modelling language; diffusion theory; dynamic capabilities; data collection; data analysis; behavioural research; healthcare research.

DOI: 10.1504/IJBHR.2011.043415

International Journal of Behavioural and Healthcare Research, 2011 Vol.2 No.4, pp.333 - 346

Published online: 30 Sep 2014 *

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