Training for Electronic Health Record (EHR) has been recognized as a key facilitator to ensure optimum use and satisfaction with technology. However, research on the ways in which training can promote user satisfaction with technology and a smooth transition to EHR is lacking. This study aims to expand the available literature on the delivery of effective EHR training. End-users may still not perceive the values that EHR can bring to healthcare by improving quality of care and streamlining the delivery of services, although these values are well established. Several barriers can account for the lack of perception, including limited resources, lack of organizational support, and poor clinical ownership of technology. Training provides an excellent tool to communicate the initiatives behind technology implementation, to help users understand the benefits that EHR can bring, and ultimately to improve the satisfaction of the end-users with technology and enhance their adoption. The organizations implementing EHR need to focus on delivery of effective training by allocating sufficient time and resources to training. Trainers need to link with users by understanding different learning styles and adult learning principles, and practicing these principles to support different training methods. / Graduate / 0758 / 0710 / 0723 / 0530

Despite a Presidential Order in 2004 that launched national incentives for the use of health information technology, specifically the Electronic Health Record (EHR), adoption of the EHR has been slow. This study attempts to quantify factors associated with adoption of the EHR and Computerized Provider Order Entry (CPOE) by combining multiple organizational theories and empirical studies. The study is conducted in two phases. The primary phase of this study identifies and evaluates the effects of external environmental and internal organizational factors on healthcare organizations to adopt the EHR. From secondary data, twelve IVs (df=19) are chosen based on existing models and literature. Logistic regression is used to determine the association between the environmental factors and EHR adoption. The secondary phase of this study examines the adoption of five variations of CPOE using the same IVs from phase one. This EHR component of CPOE is chosen due to its promotion as a solution to help cross the quality chasm (IOM, 2001). Secondary data are analyzed and logistic regression is used to quantify the association between the factors of EHR adoption and CPOE adoption. Eleven of the twelve IVs are significant between the two phases (p<.1). This study uses data from 2009 because the HITECH Act was passed that year and significant government incentives were offered for those health care organizations (HCOs) that meet the qualifications of meaningful use. This study serves as a baseline for future studies, extends the work of other empirical studies, and fills a gap in the literature concerning factors associated with the adoption of the EHR and specific dimensions of CPOE. The Kruse Theory developed is strongly based in literature and reflects complexity commensurate with the health care industry.