Exploring the Impact of IS Theory on Health Informatics

We report the results of a citation analysis of the Health Informatics literature. The study takes the health informatics literature as its starting point, looking inward at the IS literature to seek evidence for the impact of IS theories in healthcare environments. A review of 286 references from the Health Informatics discipline confirms findings of earlier studies that the technology acceptance model is the dominant theory in use with some adaptations emerging.

[1]  Howie Goodell.  End-user computing , 1997, CHI Extended Abstracts.

[2]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[3]  Suzanne Rivard,et al.  A Multilevel Model of Resistance to Information Technology Implementation , 2005, MIS Q..

[4]  J. Burmeister,et al.  Observations in a maternity ward: Usability considerations for EHRs in an interrupt driven environment , 2004 .

[5]  Detmar W. Straub,et al.  Riding the Wave: Past Trends and Future Directions for Health IT Research , 2012 .

[6]  Gio Wiederhold,et al.  Database Design , 1977 .

[7]  Robert J. K. Jacob,et al.  User interface , 2002 .

[8]  Jay F. Nunamaker,et al.  Special Issue: Information Systems Success , 2003, J. Manag. Inf. Syst..

[9]  Varun Grover,et al.  About Reference Disciplines and Reference Differences: A Critique of Wade et al , 2006, J. Assoc. Inf. Syst..

[10]  Shin-Yuan Hung,et al.  Understanding physicians' acceptance of the Medline system for practicing evidence-based medicine: A decomposed TPB model , 2012, Int. J. Medical Informatics.

[11]  Paul Gray,et al.  Group decision support systems , 1987, Decis. Support Syst..

[12]  K. Kloeckner.  Data Modelling , 1997, EUROMICRO 97. Proceedings of the 23rd EUROMICRO Conference: New Frontiers of Information Technology (Cat. No.97TB100167).

[13]  Venkataraman Ramesh,et al.  Research in Information Systems: An Empirical Study of Diversity in the Discipline and Its Journals , 2002, J. Manag. Inf. Syst..

[14]  Ken Eason,et al.  Local sociotechnical system development in the NHS National Programme for Information Technology , 2007, J. Inf. Technol..

[15]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[16]  Prodromos D. Chatzoglou,et al.  Hospital information systems: Measuring end user computing satisfaction (EUCS) , 2012, J. Biomed. Informatics.

[17]  Detmar W. Straub,et al.  Editor's comments: does MIS have native theories? , 2012 .

[18]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[19]  Ken Eason,et al.  Preparing the ground for the 'paperless hospital': A case study of medical records management in a UK outpatient services department , 2012, Int. J. Medical Informatics.

[20]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[21]  Chulmo Koo,et al.  Website Quality, Expectation, Confirmation, and End User Satisfaction: The Knowledge-Intensive Website of the Korean National Cancer Information Center , 2011, Journal of medical Internet research.

[22]  E. Schein.  Organizational Culture and Leadership , 1991 .

[23]  Richard Y. Wang,et al.  Data Quality , 2000, Advances in Database Systems.

[24]  Michael D. Myers,et al.  A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems , 1999, MIS Q..

[25]  Dirk S. Hovorka,et al.  Analyzing unstructured text data: Using latent categorization to identify intellectual communities in information systems , 2008, Decis. Support Syst..

[26]  Tiomothy J. o,et al.  Executive Information Systems , 1989 .

[27]  Ian Witten,et al.  Data Mining , 2000 .

[28]  Lin-Chung Woung,et al.  Engagement in E-Learning Opportunities: An Empirical Study on Patient Education using Expectation Confirmation Theory , 2012, Journal of Medical Systems.

[29]  York P. Freund.  Critical success factors , 1988 .

[30]  William J. Kettinger,et al.  BUSINESS PROCESS REENGINEERING: Building a Comprehensive Methodology , 1993 .

[31]  Jay F. Nunamaker,et al.  Electronic meeting systems , 1991, CACM.

[32]  Alan R. Dennis,et al.  Group Support Systems , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[33]  Donna Auguste,et al.  Customer Service , 2001, IEEE Internet Comput..

[34]  G. Paré,et al.  Toward a multidimensional assessment of picture archiving and communication system success , 2005, International Journal of Technology Assessment in Health Care.

[35]  Brian Fitzgerald,et al.  Systems Development Methodologies , 1997 .

[36]  Robert L. Glass,et al.  User satisfaction , 1994 .

[37]  Mike Chiasson,et al.  Pushing the contextual envelope: developing and diffusing information systems theory for health information systems research , 2004 .

[38]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[39]  M Aanestad,et al.  Medical Image Quality as a Socio-technical Phenomenon , 2003, Methods of Information in Medicine.

[40]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[41]  Edward A. Fox,et al.  Digital libraries , 1995, CACM.

[42]  A. Meystel,et al.  Intelligent Systems , 2001 .

[43]  Anna Sidorova,et al.  Uncovering the Intellectual Core of the Information Systems Discipline , 2008, MIS Q..

[44]  I. Ajzen.  The theory of planned behavior , 1991 .

[45]  Su-Chao Chang,et al.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry , 2008, Int. J. Medical Informatics.

[46]  E. Quah,et al.  Cost-Benefit Analysis , 1972 .

[47]  Aziz Sheikh,et al.  Integration of a nationally procured electronic health record system into user work practices , 2012, BMC Medical Informatics and Decision Making.

[48]  Jan Marco Leimeister,et al.  Determinants of physicians' technology acceptance for e-health in ambulatory care , 2012, Int. J. Medical Informatics.

[49]  Henry M. Kim,et al.  Information Systems is Not a Reference Discipline (And What We Can Do About It) , 2006, J. Assoc. Inf. Syst..

[50]  Computer Staff,et al.  Electronic Networks , 1993 .

[51]  S. Papson,et al.  Web Site Design , 2004 .

[52]  Jay B. Barney,et al.  The Resource‐based View , 2016 .

[53]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[54]  Mike Chiasson,et al.  Pushing the contextual envelope: developing and diffusing IS theory for health information systems research , 2004, Inf. Organ..

[55]  Jean-Paul A. Barthès,et al.  Knowledge Management , 1994, Encyclopedia of Database Systems.

[56]  Henry M. Kim,et al.  Not Information Systems is ^ a Reference Discipline (And What We Can Do About It) 1 , 2006 .

[57]  S. Ian Robertson,et al.  Problem-solving , 2001, Human Thinking.

[58]  T. C. Willoughby,et al.  Systems analyst , 2003 .

[59]  Vassilis Moustakis,et al.  Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model , 2011, J. Biomed. Informatics.

[60]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[61]  Bonnie Kaplan,et al.  Combining Qualitative and Quantitative Methods in Information Systems Research: A Case Study , 1988, MIS Q..

[62]  D. Mumby.  Power and Politics , 2001 .