Abstract
Hospitals heavily invest in Healthcare IT to improve the efficiency of hospital operations, improve practitioner performance and to enhance patient care. The literature suggests that decision support systems may contribute to these benefits in clinical practice. By building upon the resource-based view of the firm (RBV), we claim that hospitals that invest in a so-called information processing capacity (IPC)—the ability to gather complete patient data and information and enhance clinical processes—will substantially enhance their clinical decision support capability (CDSC). After controlling for common method bias, we use Partial Least Squares SEM to analyze our primary claim. Following the resource and capability-based view of the firm, we test our hypotheses on a cross-sectional data sample of 720 European hospitals. We find that there is a positive association between a hospital’s IPC and clinical decision support capability (CDSC). IT alignment moderates this relationship. All included control variables showed nonsignificant results. Extant research has not been able to identify those IT-enabled capabilities that strengthen CDSC in hospital practice. This study contributes to this particular gap in the literature and advances our understanding of how to efficaciously deploy CDSC in clinical practice.
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Notes
- 1.
This dataset was distributed by the European Commission and is freely accessible through: https://ec.europa.eu/digital-single-market/en/news/european-hospital-survey-benchmarking-deployment-ehealth-services-2012-2013.
- 2.
Composite reliability is similar to Cronbach’s alpha without the assumption of the equal weighting of variables.
- 3.
An even more liberal threshold is a loading value of 0.4 for exploratory studies, see [63].
References
Brynjolfsson, E., Hitt, L.M.: Beyond computation: information technology, organizational transformation and business performance. J. Econ. Perspect. 14(4), 23–48 (2000)
Agha, L.: The effects of health information technology on the costs and quality of medical care. J. Health Econ. 34, 19–30 (2014)
Lee, J., McCullough, J.S., Town, R.J.: The impact of health information technology on hospital productivity. RAND J. Econ. 44(3), 545–568 (2013)
Haux, R.: Medical informatics: past, present, future. Int. J. Med. Inform. 79(9), 599–610 (2010)
Ludwick, D., Doucette, J.: Adopting electronic medical records in primary care: lessons learned from health information systems implementation experience in seven countries. Int. J. Med. Inform. 78(1), 22–31 (2009)
McGlynn, E., et al.: The quality of health care delivered to adults in the United States. New Engl. J. Med. 348(26), 2635–2645 (2003)
Chiasson, M., et al.: Expanding multi-disciplinary approaches to healthcare information technologies: what does information systems offer medical informatics? Int. J. Med. Inform. 76, S89–S97 (2007)
Curtright, J.W., Stolp-Smith, S.C., Edell, E.S.: Strategic performance management: development of a performance measurement system at the Mayo clinic. J. Healthc. Manag. 45(1), 58–68 (2000)
Ahovuo, J., et al.: Process oriented organisation in the regional PACS environment. In: EuroPACS-MIR 2004 in the Enlarged Europe, pp. 481–484 (2004)
Garg, A.X., et al.: Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA 293(10), 1223–1238 (2005)
Romano, M.J., Stafford, R.S.: Electronic health records and clinical decision support systems: impact on national ambulatory care quality. Arch. Intern. Med. 171(10), 897–903 (2011)
Elkin, P.L., et al.: The introduction of a diagnostic decision support system (DXplain™) into the workflow of a teaching hospital service can decrease the cost of service for diagnostically challenging Diagnostic Related Groups (DRGs). Int. J. Med. Inform. 79(11), 772–777 (2010)
Kaushal, R., Shojania, K.G., Bates, D.W.: Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch. Intern. Med. 163(12), 1409–1416 (2003)
Buntin, M.B., et al.: The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff. 30(3), 464–471 (2011)
Overby, E., Bharadwaj, A., Sambamurthy, V.: Enterprise agility and the enabling role of information technology. Eur. J. Inf. Syst. 15(2), 120–131 (2006)
Weill, P., Subramani, M., Broadbent, M.: Building IT infrastructure for strategic agility. MIT Sloan Manag. Rev. 44(1), 57 (2002)
Hirschheim, R., Sabherwal, R.: Detours in the path toward strategic information systems alignment. Calif. Manag. Rev. 44(1), 87–108 (2001)
Chan, Y.E., Reich, B.H.: IT alignment: what have we learned? J. Inf. Technol. 22(4), 297–315 (2007)
Wernerfelt, B.: A resource-based view of the firm. Strateg. Manag. J. 5(2), 171–180 (1984)
Mithas, S., Tafti, A., Mitchell, W.: How a firm’s competitive environment and digital strategic posture influence digital business strategy. MIS Q. 37(2), 511–536 (2013)
Goh, J.M., Gao, G., Agarwal, R.: Evolving work routines: adaptive routinization of information technology in healthcare. Inf. Syst. Res. 22(3), 565–585 (2011)
Van de Wetering, R., Versendaal, J.: How a flexible collaboration infrastructure impacts healthcare information exchange. In: Proceedings of the 31th Bled eConference Digital Transformation – Meeting the Challenges, Bled, Slovenia (2018)
Walker, J., et al.: The value of health care information exchange and interoperability. Health Aff. 24, W5 (2005)
Hersh, W.R., et al.: Outcomes from health information exchange: systematic review and future research needs. JMIR Med. Informa. 3(4), e39 (2015)
Galbraith, J.R.: Organization design: an information processing view. Interfaces 4(3), 28–36 (1974)
Bharadwaj, A., et al.: Digital business strategy: toward a next generation of insights (2013)
Setia, P., Venkatesh, V., Joglekar, S.: Leveraging digital technologies: how information quality leads to localized capabilities and customer service performance. MIS Q. 37(2), 565–590 (2013)
El Sawy, O.A., et al.: Research commentary-seeking the configurations of digital ecodynamics: it takes three to tango. Inf. Syst. Res. 21(4), 835–848 (2010)
Van de Wetering, R., Versendaal, J., Walraven, P.: Examining the relationship between a hospital’s IT infrastructure capability and digital capabilities: a resource-based perspective. In: Proceedings of the Twenty-Fourth Americas Conference on Information Systems (AMCIS). AIS, New Orleans (2018)
El Sawy, O.A., Pavlou, P.A.: IT-enabled business capabilities for turbulent environments. MIS Q. Exec. 7(3), 139–150 (2008)
Mithas, S., et al.: Information technology and firm profitability: mechanisms and empirical evidence. MIS Q. 36(1), 205–224 (2012)
Sheikh, A., Sood, H.S., Bates, D.W.: Leveraging health information technology to achieve the “triple aim” of healthcare reform. J. Am. Med. Inform. Assoc. 22(4), 849–856 (2015)
Wang, E.T.: Effect of the fit between information processing requirements and capacity on organizational performance. Int. J. Inf. Manag. 23(3), 239–247 (2003)
Tushman, M.L., Nadler, D.A.: Information processing as an integrating concept in organizational design. Acad. Manag. Rev. 3(3), 613–624 (1978)
Vest, J.R., et al.: Challenges, alternatives, and paths to sustainability for health information exchange efforts. J. Med. Syst. 37(6), 9987 (2013)
Kaelber, D.C., Bates, D.W.: Health information exchange and patient safety. J. Biomed. Inform. 40(6), S40–S45 (2007)
Sutcliffe, K.M., Lewton, E., Rosenthal, M.M.: Communication failures: an insidious contributor to medical mishaps. Acad. Med. 79(2), 186–194 (2004)
Marchand, D.A., Kettinger, W.J., Rollins, J.D.: Information orientation: people, technology and the bottom line. Sloan Manag. Rev. 41(4), 69 (2000)
Jadad, A.R., et al.: The internet and evidence-based decision-making: a needed synergy for efficient knowledge management in health care. Can. Med. Assoc. J. 162(3), 362–365 (2000)
Tallon, P.P., Pinsonneault, A.: Competing perspectives on the link between strategic information technology alignment and organizational agility: insights from a mediation model. MIS Q. 35(2), 463–486 (2011)
Strassman, P.A.: Business Value of Computers. The Information Economic Press, New Canaan (1990)
Firth, L., Francis, P.: Understanding the lack of adoption of E-commerce in the health sector: the clinician’s strategic perspective. In: IADIS Virtual Conference, Lisbon (2004)
Van de Wetering, R., Batenburg, R., Lederman, R.: Evolutionistic or revolutionary paths? A PACS maturity model for strategic situational planning. Int. J. Comput. Assist. Radiol. Surg. 5(4), 401–409 (2010)
King, W.R.: Strategic planning for IS: the state of practice and research. MIS Q. 9(2), 6–7 (1985). Editor’s comment
Henderson, J.C., Venkatraman, N.: Strategic alignment: leveraging information technology for transforming organisations. IBM Syst. J. 32(1), 4–16 (1993)
Gerow, J.E., et al.: Looking toward the future of IT-business strategic alignment through the past: a meta-analysis. MIS Q. 38(4), 1059–1085 (2014)
Henderson, J.C., Thomas, J.B.: Aligning business and information technology domains: strategic planning in hospitals. J. Healthc. Manag. 37(1), 71 (1992)
Luftman, J., Brier, T.: Achieving and sustaining business-IT alignment. Calif. Manag. Rev. 42(1), 109–122 (1999)
Avison, D., et al.: Using and validating the strategic alignment model. J. Strateg. Inf. Syst. 13(3), 223–246 (2004)
Van de Wetering, R., Batenburg, R.: Towards a theory of PACS deployment: an integrative PACS maturity framework. J. Digit. Imaging 27(3), 337–350 (2014)
Podsakoff, P.M., et al.: Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88(5), 879 (2003)
Wade, M., Hulland, J.: Review: the resource-based view and information systems research: review, extension, and suggestions for future research. MIS Q. 28(1), 107–142 (2004)
Ravichandran, T., Lertwongsatien, C.: Effect of information systems resources and capabilities on firm performance: a resource-based perspective. J. Manag. Inf. Syst. 21(4), 237–276 (2005)
Hair Jr., J.F., et al.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oaks (2016)
Henseler, J., et al.: Common beliefs and reality about PLS: comments on Rönkkö and Evermann (2013). Organ. Res. Methods 17(2), 182–209 (2014)
Ringle, C.M., Wende, S., Becker, J.-M.: SmartPLS 3. Boenningstedt: SmartPLS GmbH (2015). http://www.smartpls.com
Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)
Geisser, S.: A predictive approach to the random effect model. Biometrika 61(1), 101–107 (1974)
Barney, J.: Firm resources and sustained competitive advantage. J. Manag. 17(1), 99–120 (1991)
Akter, S., et al.: How to improve firm performance using big data analytics capability and business strategy alignment? Int. J. Prod. Econ. 182, 113–131 (2016)
Lapointe, L., Mignerat, M., Vedel, I.: The IT productivity paradox in health: a stakeholder’s perspective. Int. J. Med. Inform. 80(2), 102–115 (2011)
Jones, S.S., et al.: Unraveling the IT productivity paradox—lessons for health care. New Engl. J. Med. 366(24), 2243–2245 (2012)
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van de Wetering, R. (2019). Enhancing Clinical Decision Support Through Information Processing Capabilities and Strategic IT Alignment. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_2
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