Open Access. Powered by Scholars. Published by Universities.®
Health Information Technology Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- AI monitoring (1)
- Affective computing (1)
- Artificial intelligence (1)
- COVID-19 (1)
- Control in systems engineering (1)
-
- Controllability (1)
- Data mining (1)
- Decision for others (1)
- Emotion (1)
- Emotions (1)
- False discovery rate (1)
- Healthcare IS (1)
- Healthcare systems (1)
- Information systems (1)
- Innovation (1)
- Medical care (1)
- Medical quality control (1)
- Multiple roles (1)
- Performance measurement (1)
- Physicians' technology adoption (1)
- Rejection (1)
- Resistance (1)
- Role conflict (1)
- Rule overload (1)
- Publication
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Health Information Technology
The Impacts Of Role Overload And Role Conflict On Physicians' Technology Adoption, Eun Hee Park, Ghiyoung P. Im, Jing Zhang, Young Hwan Lee, Kyung Hee Chun, Young Soon Park
The Impacts Of Role Overload And Role Conflict On Physicians' Technology Adoption, Eun Hee Park, Ghiyoung P. Im, Jing Zhang, Young Hwan Lee, Kyung Hee Chun, Young Soon Park
Information Technology & Decision Sciences Faculty Publications
Technology adoption is an important solution for physicians to increase work efficiency, and thus deal with role conflict among their multiple job roles. Prior studies have not investigated how multiple job roles and role conflict influence physicians’ technology adoption intentions. Based on role strain theory and role identity theory, we present a model of physicians’ technology adoption intentions to support their primary (clinical care) versus secondary (teaching or research) job roles. We test the model using surveys with 156 physicians at nine medical schools in Korea. The results of our data analysis largely support our hypotheses. Role overload in each …
Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh
Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh
Information Technology & Decision Sciences Faculty Publications
Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find …
The Value Of Integrated Information Systems For U.S. General Hospitals, Liuliu Fu
The Value Of Integrated Information Systems For U.S. General Hospitals, Liuliu Fu
Information Technology & Decision Sciences Theses & Dissertations
Each year, huge investments into healthcare information systems (HIS) are being made all over the world. Despite the enormous cost for the hospitals, the overall benefits and costs of the healthcare information systems have not been deeply assessed. In recent years, much previous research has investigated the link between the implementation of Information Systems and the performance of organizations. Although the value of Healthcare Information System or Healthcare Information Technology (HIS/HIT) has been found in many studies, some questions remain unclear. Do HIS/HIT systems influence different hospitals the same way? How to understand and explain the mechanism that HIS/HIT improves …