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Articles 1 - 3 of 3
Full-Text Articles in Business
Response And Rebuttal To "Comment On: Risk Factors For Workplace Encounters With Weapons By Hospital Employees" In Public Health In Practice; 3 (2022) 100256 By Chidinma Okani And Carmen Black, James D. Blando, Chalsie Paul, Mariana Szklo-Coxe
Response And Rebuttal To "Comment On: Risk Factors For Workplace Encounters With Weapons By Hospital Employees" In Public Health In Practice; 3 (2022) 100256 By Chidinma Okani And Carmen Black, James D. Blando, Chalsie Paul, Mariana Szklo-Coxe
Community & Environmental Health Faculty Publications
No abstract provided.
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 …
Evaluation Of House Staff Candidates For Program Fit: A Cohort-Based Controlled Study, Soo-Hoon Lee, Phillip H. Phan, Sanjay V. Desai
Evaluation Of House Staff Candidates For Program Fit: A Cohort-Based Controlled Study, Soo-Hoon Lee, Phillip H. Phan, Sanjay V. Desai
Management Faculty Publications
Background: Medical school academic achievements do not necessarily predict house staff job performance. This study explores a selection mechanism that improves house staff-program fit that enhances the Accreditation Council for Graduate Medical Education Milestones performance ratings.
Objective: Traditionally, house staff were selected primarily on medical school academic performance. To improve residency performance outcomes, the Program designed a theory-driven selection tool to assess house staff candidates on their personal values and goals fit with Program values and goals. It was hypothesized cohort performance ratings will improve because of the intervention.
Methods: Prospective quasi-experimental cohort design with data from two house staff …