The Effects of the Electronic Health Record System on Work Overload and Stress Moderation of Hospital Employees

Choi,, Y. , Noh,, J. , & Boo,, Y. (2018). The Effects of the Electronic Health Record System on Work Overload and Stress Moderation of Hospital Employees. The Journal of Industrial Distribution & Business, 9(9), 35-44, https://doi.org/https://doi.org/10.13106/ijidb.2018.vol9.no9.35.

copy

Downloaded
Viewed

PDF Download

Abstract

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

keywords: Job resource, Job demand, Job satisfaction, Job stress, Electronic Health Records

Reference

Ahmed, U., Majid, A. H., & Lazim, M. Z. (2016). Moderation of Meaningful Work on the Relationship of Supervisor Support and Coworker Support with Work Engagement. East Asian Journal of Business Management, 6(3), 15-20. Retrieved Sep 07, 2018 from http://doi.org/10.13106/eajbm.2016.vol6.no3.15

Argyris, C., & Schön, D. A. (1996). Organizational learning II: Theory, Method, and Practice. Addison-Wesley.

Bagozzi, R. P. (1978). Salesforce Performance and Satisfaction As a Function of Individual Difference, Interpersonal, and Situational Factors. Journal of Marketing Research. 15(4), 517-531. Retrieved Feb 27, 2018 from https://doi.org/10.2307/3150622

Bakker, A. B., & Demerouti, E. (2007). The Job Demands-resources Model: State of The Art. Journal of Managerial Psychology. 22(3), 309-328.

Bakker, A. B., Hakanen, J. J., Demerouti, E., & Xanthopoulou, D. (2007). Job Resources Boost Work Engagement, Particularly When Job Demands are High. Journal of Educational Psychology. 99(2), 274-284. Retrieved Nov 08, 2017 https://doi.org/10.1037/0022-0663.99.2.274

Bartel, A., Ichniowski, C., & Shaw, K. (2007). How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills. The Quarterly Journal of Economics. 122(4), 1721–1758. Retrieved Feb 27, 2018 from https://doi.org/10.1162/qjec.2007.122.4.1721

Brynjolfsson, E., & Hitt, L. M. (1998). Beyond the productivity paradox. Communications of ACM. 41(8): 49-55. Retrieved Feb 14, 2018 from https://doi.org/10.1145/280324.280332

Cappelli, P. (1996). Technology and Skill Requirements:Implications for Establishment Wage Structures. New England Economic Review. 139-156. Retrieved Sep 08, 2018 from http://www.bostonfed.org/economic/neer/neer1996/neer396h.pdf

Crawford, E. R., LePine, J. A., & Rich, B. L. (2010). Linking Job Demands and Resources to Employee Engagement and Burnout: A Theoretical Extension and Meta-analytic Test. Journal of Applied Psychology. 95(5), 834-848. Retrieved Dec 11, 2017 from https://doi.org/10.1037/a0019364

10.

Damanpour, F. (1991). Organizational Innovation: A Meta-analysis of Effects of Determinants and Moderators. Academy of Management Journal. 34(3) Retrieved Feb 21, 2018 from https://journals.aom.org/doi/abs/10.5465/256406?journalCode=amj

11.

DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Journal of Management Information System. 3(4), 60-95. Retrieved Dec 11, 2017 from https://doi.org/10.1287/isre.3.1.60

12.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A Ten-year Update. Journal of Management Information System. 19(4), 9–30. Retrieved Nov 02, 2017 from https://doi.org/10.1080/07421222.2003.11045748

13.

Dewett, T., & Jones, G. R. (2001). The Role of Information Technology in the Organization: a Review, Model, and Assessment. Journal of Management. 27(3), 313-346. Retrieved Nov 02, 2017 from https://doi.org/10.1016/s0149-2063(01)00094-0

14.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research. 18(1), 39-50. Retrieved Nov 04, 2017 from https://doi.org/10.2307/3150979

15.

Goodhue, D. L. (1998). Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System. Decision Sciences. 29(1), 105-138. Retrieved Dec 04, 2017 from https://doi.org/10.1111/j.1540-5915.1998.tb01346.x

16.

Grandey, A. A., Fisk, G. M., & Steiner, D. D. (2005). Must "Service with a Smile" be Stressful? The Moderating Role of Personal Control for American and French Employees. Journal of Applied Psychology. 90(5), 893–904. Retrieved Dec 04, 2017 from https://doi.org/10.1037/0021-9010.90.5.893 PMID: 16162062

17.

Hochschild, A. R. (1979). Emotion Work, Feeling Rules, and Social Structure. American Journal of Sociology. 85(3), 551–575.

18.

Hooper, L., Kroon, P. A., Rimm, E. B., Cohn, J. S., Harvey, I., & Le Cornu, K. A. (2008). Flavonoids, Flavonoid-rich Foods, and Cardiovascular Risk: A Meta-analysis of Randomized Controlled Trials. American Journal of Clinical Nutrition. 88(1), 38-50. PMID: 18614722

19.

Iivari, J. (2005) An Empirical Test of the DeLone-McLean Model of Information System Success. ACM SIGMIS Database. 36(2), 8-27. Retrieved Dec 12, 2017 from https://doi.org/10.1145/1066149.1066152

20.

Jones, M. K., Jones, R. J., Latreille, P. L., & Sloane, P. J. (2009). Training, Job Satisfaction and Workplace Performance in Britain: Evidence from WERS 2004. Labour. 23(1), 139-175. Retrieved Dec 28, 2017 from https://doi.org/10.1111/j.1467-9914.2008.00434.x

21.

Kaplan, R. S., & Norton, D. P. (1992). The Balanced Scorecard - Measures That Drive Performance. Harvard Business Review. 70(1), 71–79.

22.

Karasek, R. A. (1985). Job Content Questionnaire, Los Angeles: University of Southern California, Department of Industrial and Systems Engineering. Job Content Questionnaire

23.

Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., van Buuren, S., van der Beek, A. J., & de Vet, H. C. W. (2014). Improving the Individual Work Performance Questionnaire using Rasch analysis. Journal of Applied Measurement, 15(2), 160-175. Retrieved Nov 08, 2017 from DOI: 10.1136/oemed-2013-101717.51

24.

Landsbergis, P. A., Schnall, P. L., Deitz, D., Freidman, R., & Pickering, T. (1992) The Patterning of Psychological Attributes and Distress by "Job Strain"and Social Support in a Sample of Working Men. Journal of Behavior Medicine. 15(4), 379-405. Retrieved Nov 08, 2017 from https://doi.org/10.1007/bf00844730PMID: 1404353

25.

Lee, R. T., & Ashforth, B. E. (1996). A Meta-analytic Examination of the Correlates of the Three Dimensions of Job Burnout. The Journal of Applied Psychology. 81(2), 123-33. Retrieved Sep 08, 2018 from http://dx.doi.org/10.1037/0021-9010.81.2.123

26.

Marteau, T. M., & Bekker, H. (1992). The Development of a Six-item Short-form of the State Scale of the Spielberger State—Trait Anxiety Inventory (STAI). British Journal of Clinical Psychology. 31(3), 301–306. Retrieved Dec 12, 2017 from https://doi.org/10.1111/j.2044-8260.1992.tb00997.x PMID:1393159

27.

Lazim, M. Z., Ibrahim, I., & Hassan, Z. (2016). The Determinants of Human Resource Information System Success in Japanese Manufacturing Companies. East Asian Journal of Business Management, 6(4), 27-34. Retrieved Sep 08, 2018 from http://doi.org/10.13106/eajbm.2016.vol6.no4.27

28.

Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1997). A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment. Information Resources Management Journal. 10(1), 6-25. Retrieved Dec 12, 2017 from https://doi.org/10.4018/irmj.1997010101

29.

Parker, D. F., & DeCotiis, T. A. (1983). Organizational Determinants of Job Stress. Organizational Behavior and Human Performance. 32(2), 160-177. doi.org/10.1016/0030-5073(83)90145-9

30.

Peter, H. (1986). Stress and the Nurse Manager. New York: Wiley

31.

Pitt, L.F., Watson, R.T., & Kavan, C.B. (1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly. 19(2), 173185. Retrieved Sep 08, 2018 from DOI: 10.2307/249687

32.

Podsakoff, N. P., LePine, J. A., & LePine, M. A. (2007). Differential Challenge Stressor-Hindrance Stressor Relationships with Job Attitudes, Turnover Intentions, Turnover, and Withdrawal Behavior: A Meta-analysis. The Journal of Applied Psychology. 92(2), 438-454. https://doi.org/10.1037/0021-9010.92.2.438 PMID: 17371090

33.

Ruotsalainen, J. H., Verbeek, J. H., Mariné, A., & Serra, C. (2014). Preventing occupational stress in healthcare workers. The Cochrane Database of Systematic Reviews. 7(4), Art. CD002892. DOI:10.1002/14651858.CD002892.pub5.

34.

Saunders, C. S., & Jones, J. W. (1992). Measuring Performance of the Information Systems Function. Journal of Management Information Systems. 8(4), 63-82. Retrieved Sep 08, 2018 from https://www.jstor.org/stable/40397998

35.

Schaufeli, W. B., & Bakker, A. B. (2004). Job Demands, Job Resources and Their Relationship with Burnout and Engagement: A Multi-sample Study. Journal of Organizational Behavior. 25(3), 293-315. Retrieved Dec 28, 2017 from https://doi.org/10.1002/job.248

36.

Singh, J. (2000). Performance Productivity and Quality of Frontline Employees in Service Organizations. Journal of Marketing. 64(2), 15-34 Retrieved Dec 28, 2017from https://doi.org/10.1509/jmkg.64.2.15.17998

37.

Sonnentag, S., & Zijlstra F. R. (2006). Job Characteristics and Off-job Activities as Predictors of Need for Recovery, Well-being, and Fatigue. The Journal of Applied Psychology, 91(2), 330-50. Retrieved Sep 08, 2018 from DOI:10.1037/0021-9010.91.2.330

38.

Sousa, J., Cruz, A., & Martins, H. (2011). Minnesota Satisfaction Questionnaire–Propriedades Psicométricas e Validação numa População de Profissionais de. Centro Hospitalar do Porto.

39.

Spector, P. (1997). Job Satisfaction: Application, Assessment, Causes and Consequences. California: Sage. Retrieved Sep 08, 2018 from http://dx.doi.org/10.4135/9781452231549

40.

Venkatesh, V., & Morris, M. G. (2000). Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quaterly. 24(1), 115–139. Retrieved Dec 28, 2017 from https://doi.org/10.2307/3250981

41.

Webber, L., Smith, K., & Scott, K. (2006). Age, Work Ability and Plans to Leave Work. Australian Psychological Society Conference Proceedings, 479-483

42.

Wheaton, B., Muthén, B., Alwin, D. F., & Summers, G. F. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology. 8, 84-136. Retrieved Nov 08, 2017 https://doi.org/10.2307/270754

바로가기메뉴

Article Contents

Vol.9 No.9

The Effects of the Electronic Health Record System on Work Overload and Stress Moderation of Hospital Employees

Abstract

Reference

The Journal of Industrial Distribution & Business