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Artificial Intelligence in Health                                  Organizational culture’s impact on burnout



            leaders should focus on cultivating an OC in which   2.   Hofstede  G.  Culture’s Consequences: Comparing Values,
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            to remain.                                         5.   Tawfik DS, Scheid A, Profit J, et al. Evidence relating health
                                                                  care provider burnout and quality of care. Ann Intern Med.
            Acknowledgments                                       2019;171(8):555.
            The authors would like to acknowledge Mark A. Newman      doi: 10.7326/M19-1152
            for his support in advising on data collection and guiding   6.   Cameron K, Quinn R.  Diagnosing  and Changing
            the survey design.                                    Organizational Culture: Based on the Competing Values
                                                                  Framework. 3  ed. United States: John Wiley & Sons; 2011.
                                                                            rd
            Funding
                                                               7.   Schaufeli WB, Bakker AB. Job demands, job resources, and
            None.                                                 their relationship with burnout and engagement: A multi‐
                                                                  sample study. J Organ Behav. 2004;25(3):293-315.
            Conflict of interest                                  doi: 10.1002/job.248
            The authors declare that they have no competing interests.  8.   Maslach C, Leiter MP. Early predictors of job burnout and
                                                                  engagement. J Appl Psychol. 2008;93(3):498-512.
            Author contributions
                                                                  doi: 10.1037/0021-9010.93.3.498
            Conceptualization: All authors                     9.   Alarcon GM. A meta-analysis of burnout with job demands,
            Formal analysis: Teray Johnson                        resources, and attitudes. J Vocat Behav. 2011;79(2):549-562.
            Investigation: Teray Johnson
            Methodology: All authors                              doi: 10.1016/j.jvb.2011.03.007
            Writing – original draft: Teray Johnson            10.  Chatterjee S, Goyal D, Prakash A, Sharma J. Exploring
            Writing – review & editing: Sameh Shamroukh           healthcare/health-product ecommerce satisfaction: A  text
                                                                  mining and machine learning application.  J  Bus Res.
            Ethics approval and consent to participate            2021;131:815-825.

            This research was approved by the Harrisburg University      doi: 10.1016/j.jbusres.2020.10.043
            of Science and Technology Institutional Review Board   11.  Bhardwaj S, Bhardwaj H, Bhardwaj J, Gupta P. Global
            (IRB# 20221026). Participants gave informed consent to   prediction of COVID-19 Cases and Deaths using Machine
            participate in this study.                            Learning. In: 2021 Sixth International Conference on Image
                                                                  Information Processing (ICIIP). IEEE; 2021. p. 422-426.
            Consent for publication                               doi: 10.1109/ICIIP53038.2021.9702560
            Written  consent was  obtained  at  the  beginning  of  the   12.  Ang CY, Lee MH, Paramesran R. A  survey of machine
            survey, and permission was granted by each participant to   learning techniques for behavioral data analysis on mobile
            publish their data.                                   devices. Inform Fusion. 2020;49:46-60.

            Availability of data                               13.  Shatte ABR, Hutchinson DM, Teague SJ. Machine learning
                                                                  in mental health: A  scoping review of methods and
            Data can be obtained by contacting the corresponding   applications. Psychol Med. 2019;49(9):1426-1448.
            author.                                               doi: 10.1017/S0033291719000151
            References                                         14.  Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP.
                                                                  Common method biases in behavioral research: A critical
            1.   Schein EH.  Organizational Culture and Leadership. San   review of the literature and recommended remedies. J Appl
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