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    Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews
    (Oxford Academic, 2022) Srivastava, Ankita; Ayyalasomayajula, Surya; Bao, Chenzhang; Ayabakan, Sezgin; Delen, Dursun
    Objective We investigated how the electronic health records (EHRs) strategies concerning EHR sourcing and vendor switching impact user satisfaction over time. Materials and Methods This study used a novel longitudinal dataset created by scraping clinicians’ Glassdoor.com reviews on 109 US health systems from 2012 to 2017 and combining it with the Healthcare Information and Management Systems Society (HIMSS) database. We performed sentiment analysis of clinician reviews to construct our main dependent variable, user satisfaction. Our main independent variables, EHR single sourcing and vendor switching, were constructed using the HIMSS database. Results Our fixed effects model showed that as health systems gain more experience with EHR, a single vendor sourcing strategy was associated with higher user satisfaction. Further, there was no significant impact of vendor switching on user satisfaction. Conclusion This work adds to the current understanding of EHR-driven clinician burnout using a novel longitudinal dataset. We show how organizational-level EHR strategy can impact user satisfaction and that providers and EHR vendors can mine clinician reviews online to understand their evolving needs and sentiments.
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    Relationships Between Clinical Psychological Depression and Employee Absenteeism
    (Elsevier Inc, 2025) Grifno, Kenny; Bao, Chenzhang; Russell, Craig J.; Delen, Dursun
    Psychological depression has emerged as a global concern, leading to increased employee absenteeism and reduced productivity. Rising healthcare expenditures compound the issue, negatively impacting employees’ healthcare benefits and treatment options. Therefore, it becomes imperative for organizations to understand the efficacy of alternative healthcare benefits in addressing employee absences. Conservation of resources theory provides an analytical framework integrating diverse data sources to investigate this matter. We explored the relationship of no therapy, medication, and psychological therapies with employee absenteeism over time. Findings revealed psychological therapy exhibited greater efficacy in reducing absenteeism for depression, yielding sustained benefits throughout the episode. Conversely, the effectiveness of depression medications overall had a small short-term and no long-term relationship to absenteeism. These findings have significant implications for employers and employees, potentially leading to improved healthcare benefit offerings with concomitant reductions in employee absenteeism. © 2025 Elsevier Inc.
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    Relationships between clinical psychological depression and employee absenteeism: a data analytics approach
    (Elsevier inc., 2025) Grifno, Kenny; Bao, Chenzhang; Russell, Craig J.
    Psychological depression has emerged as a global concern, leading to increased employee absenteeism and reduced productivity. Rising healthcare expenditures compound the issue, negatively impacting employees' healthcare benefits and treatment options. Therefore, it becomes imperative for organizations to understand the efficacy of alternative healthcare benefits in addressing employee absences. Conservation of resources theory provides an analytical framework integrating diverse data sources to investigate this matter. We explored the relationship of no therapy, medication, and psychological therapies with employee absenteeism over time. Findings revealed psychological therapy exhibited greater efficacy in reducing absenteeism for depression, yielding sustained benefits throughout the episode. Conversely, the effectiveness of depression medications overall had a small short-term and no long-term relationship to absenteeism. These findings have significant implications for employers and employees, potentially leading to improved healthcare benefit offerings with concomitant reductions in employee absenteeism.