Evaluating the Impact of Health Care Information Systems

Anderson, James G.; Aydin, Carolyn E.

doi:10.1017/s0266462300010436

Cited by 90 publications

(48 citation statements)

References 23 publications

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“…Consistent with prior research (Anderson and Aydin, 1997), our results also reveal that physicians' work experience negatively affects their purchase intention and their perceptions of an innovative service's usefulness and ease of use. As opposed to experienced professionals who tend to show resistance to change, early career physicians will be eager to try the innovative services and spread the word to older and less innovative physicians, who will nonetheless be susceptible to their influence (Kwon, Choi and Kim, 2007).…”

Section: Discussion and Managerial Implicationssupporting

confidence: 90%

“…In general, physicians tend to be very confident and autonomous within their profession, an attribute that derives from their highly demanding education, their specialised knowledge and skills (Chau and Hu, 2002a). As a result, they tend to be dubious and sometimes reluctant to accept the proliferation of technology or to adopt innovative methods in contrast to their traditional working routines Brooks 2006, Anderson andAydin, 1997). This becomes more intense as physicians become more experienced.…”

Section: Work Experiencementioning

confidence: 99%

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Determinants of Physicians' Purchase Intention for Innovative Services: Integrating Professional Characteristics With Technology Acceptance Model and Theory of Planned Behaviour

Kostopoulos

Rizomyliotis

Konstantoulaki³

2015

Int. J. Innov. Mgt.

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This paper seeks to explore the factors that influence physicians' purchase intention for supplementary professional services that have been recently introduced to the market. For that reason, a model has been developed and empirically tested using data collected from 100 physicians regarding an innovative e-detailing service. Results show that physicians' purchase intention is significantly influenced by five factors. Three of them derive from the integration of Technology Acceptance Model (TAM) with the Theory of Planned behaviour (TPB), i.e. perceived usefulness, perceived ease of use and professional image. The rest, namely work experience, working status and innovativeness, refer to physicians' professional characteristics. Work experience and innovativeness were found to have a significant effect on physicians' perceptions of the innovative service, whereas, physicians' current working status was not found to have significant influence on either their perceptions of the innovative service or their purchase intention.

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Section: Discussion and Managerial Implicationssupporting

confidence: 90%

Section: Work Experiencementioning

confidence: 99%

Determinants of Physicians' Purchase Intention for Innovative Services: Integrating Professional Characteristics With Technology Acceptance Model and Theory of Planned Behaviour

Kostopoulos

Rizomyliotis

Konstantoulaki³

2015

Int. J. Innov. Mgt.

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“…This same-technology-different-outcome finding is perhaps the most widely cited of the study's conclusions (e.g. Leonard-Barton, 1988;Markus & Robey, 1988;Robey & RodriguezDiaz, 1989;Weick, 1990;George & King, 1991;Orlikowski, 1992;Pentland, 1995;Robey & Sahay, 1996;Sahay, 1997;Morrill & Fine, 1997;Anderson & Aydin, 1997;Pinsonneault & Rivard, 1998;Vendelo;1998;Orlikowski & Barley, 2001). In this paper I have undertaken to determine whether or not the data actually supported that finding.…”

Section: Introductionmentioning

confidence: 86%

Same Technology, Different Outcome? Lessons on Dummy Variables & Dependent Variable Transformations

Hunter

2003

SSRN Journal

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There is long-standing body of empirical research concerned with the consequences of information technology for organization structure and processes. Several of those studies have reported that the same technology, when implemented in similar organizational settings, can be associated with vastly different, even diametrically opposing, organizational consequences. The seminal study in this stream of research is Barley's (1986) article entitled "Technology as an Occasion for Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments." That study reported that two similarly-composed radiology departments implemented the same technology yet experienced different structural outcomes, i.e. that the two departments experienced different rates of decentralization and that they evolved through a different number of distinct phases of structuring. This difference in outcomes was attributed to differences between each departments' distribution of relevant expertise and "specific historical processes" (Barley, 1986:107) in which the technology was embedded. My reanalysis of the data uses different and arguably more appropriate research methods and shows that the failure to transform the dependent variable, as well as the exclusion, misspecification, and misinterpretation of several dummy variables, biased the regression estimates and led to erroneous conclusions.The methodological contribution of this paper is that it underscores problems attendant to not recognizing two of the ways in which dummy variables can be interpreted: as a means for capturing intercept shifts and as a means for controlling for the effects of unobserved heterogeneity. The theoretical contributions relate to how the reanalysis impacts our understanding of the information technology -organizational structure relationship. In short, I conclude that research on the organizational consequences of IT, particularly ethnographic research, may need to (1) exchange the assumption of homogeneity among similarly-constituted organizations for one of heterogeneity (2) take both the observable properties of technology and its context of use explicitly into account and (3) and make more clear what is meant by "different structural outcomes." -3-

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“…For instance, Schaper and Pervan [43] outline that healthcare professionals are not likely to use those types of technologies that change the nature of their established work routines. This idea is supported by Anderson [52] and Anderson & Aydin [53]. According to these researches, the willingness of healthcare professionals decreases when they notice that new technology invalidates their continuous practice patterns.…”

Section: Weakness Of Tam Within Healthcare Professionalsmentioning

confidence: 94%

Healthcare Professionals’ Adoption of Clinical IT in Hospital: A View of Relationship between Healthcare Professionals and Hospital

Esmaeilzadeh¹,

Sambasivan²

2012

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The application of IT has become significant in the health sector. Clin ical IT is considered as a strategic tool to improve efficiency of health care delivery and effectiveness of physicians in the health care sector. New technologies that change the traditional practice patterns of healthcare professionals in hospitals cannot be simp ly accepted by them. There is enough evidence to claim that healthcare professionals are not willing to accept and use clin ical IT that interferes with their day-to-day work activities. If healthcare professionals do not use new clin ical IT, all the effort, money and resources used for the implementation of the system have no result. However, factors affecting healthcare professionals' acceptance of clinical IT are still not fu lly identified. In this study, an extension to TAM is used to incorporate the unique characteristic of physicians, physicians' computer literacy and features of clinical IT. The extended model has been developed to chiefly address the issues of IT adoption amongst healthcare professionals in a hospital setting. A survey has been conducted to evaluate the model among 300 healthcare p rofessionals in Malaysia. The structural equation model has been used to test the model in this context. The results reflect the role of perceived threat to professional autonomy, healthcare professional-hospital relationship, perceived usefulness and perceived ease of use in determin ing healthcare professionals' intention to use clin ical IT systems in Malaysia. The proposed model can exp lain 51% of the variance of physicians' intention to accept clinical IT.

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Evaluating the Impact of Health Care Information Systems

Cited by 90 publications

References 23 publications

Determinants of Physicians' Purchase Intention for Innovative Services: Integrating Professional Characteristics With Technology Acceptance Model and Theory of Planned Behaviour

Determinants of Physicians' Purchase Intention for Innovative Services: Integrating Professional Characteristics With Technology Acceptance Model and Theory of Planned Behaviour

Same Technology, Different Outcome? Lessons on Dummy Variables & Dependent Variable Transformations

Healthcare Professionals’ Adoption of Clinical IT in Hospital: A View of Relationship between Healthcare Professionals and Hospital

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