Medicine and Health Sciences Commons^™

Clinician Satisfaction With In-House And Cloud-Based Ehr Vendors, Massara Alazazi, Jun Sun, Nan Xiao

Information Systems Faculty Publications and Presentations

This paper examines the factors that affect clinician satisfaction with electronic health records (EHR) vendors that provide in-house and cloud-based solutions. The study is concerned with the organizational level of different healthcare organizations. The model combines the IS Success model and the Task Technology Fit model, to best fit the health information systems. Five research hypotheses derived from the model and are going to be empirically tested using a field survey of EHR systems characteristics and its influence on the organization’s tasks achievement and mission alignment.

Coping Strategies Among Caregivers Of Children With Autism Spectrum Disorders: A Cluster Analysis, Noor Ismael, Lisa Mische Lawson, Murad Moqbel, Lauren Little

Information Systems Faculty Publications and Presentations

Introduction/Background: The variability in coping strategies among caregivers of children with ASD may contribute to broader health outcomes; however, it is unclear if specific coping strategies are related to overall strain in this population. Therefore, this study identified groups of caregivers based on coping mechanisms and investigated differences in strain among groups.

Materials & Methods: This study utilized a secondary data analysis, and included survey responses of 273 caregivers of children with ASD. Measures consisted of the COPE Inventory, and the Caregiver Strain Questionnaire. Data analyses consisted of cluster analysis to group caregiver coping strategies, and Analysis of Variance to …

Ambulatory Emr Adoption In The Usa: A Longitudinal Study, Jun Sun, Jorge A. Garcia, Ying Wang

Information Systems Faculty Publications and Presentations

Based on a longitudinal national survey, this study examines the adoption of electronic medical records (EMR) by clinics in the USA between 2004 and 2014. A trend analysis suggests that government incentive, technological breakthrough and patient-centered care push the diffusion forward. The interaction among policy, technology and practice is likely to affect the decision-making of practitioners regarding EMR adoption. This study identifies clinic-, patient- and visit-related variables from the survey, and uses them to predict EMR adoption intention and usage in each year. The explanatory power of different variables changed over time in different ways, revealing how policy, technology, and …