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The Challenges and Issues Regarding E-Health and Health Information Technology Trends in the Healthcare Sector

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E-business Technology and Strategy (CETS 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 113))

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Abstract

Like other industries, the utilization of the internet and Information Technology (IT) has increased in the health sector. Different applications attributed to the internet and IT in healthcare practice. It includes a range of services that intersect the edge of medicine, computer and information science. The presence of the internet helps healthcare practice with the use of electronic processes and communication. Also, health IT (HIT) deals with the devices, clinical guidelines and methods required to improve the management of information in healthcare. Although the internet and HIT has been considered as an influential means to enhance health care delivery, it is completely naive to imagine all new tools and mechanisms supported by the internet and HIT systems are simply adopted and used by all organizational members. As healthcare professionals play an important role in the healthcare sector, there is no doubt that mechanism of newly introduced HIT and new application of the internet in medical practice should be coupled with healthcare professionals’ acceptance. Therefore, with great resistance by healthcare professionals new mechanism and tools supported by IT and the internet cannot be used properly and subsequently may not improve the quality of medical care services. However, factors affecting the healthcare professionals’ adoption behavior concerning new e-health and HIT mechanism are still not conclusively identified. This research (as a theoretical study) tries to propose the source of resistance in order to handle the challenges over new e-technology in the health industry. This study uses the involved concepts and develops a conceptual framework to improve overall acceptance of e-health and HIT by healthcare professionals.

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References

  1. Abbott, A.: The System of Professions: An Essay on the Division of Expert Labor. University of Chicago Press, Chicago (1998)

    Google Scholar 

  2. Nielsen, A.C.: Attitudes Towards IT in Australian General Practice: Qualitative Research Report, AcNielsen PTY General Practice Branch, North Sydney (1998)

    Google Scholar 

  3. Adams, D.A., Nelson, R.R., Todd, P.A.: Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly 16, 227–247 (1992)

    Article  Google Scholar 

  4. Aggelidis, V.P., Chatzoglou, P.D.: Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics 78, 5–126 (2009)

    Article  Google Scholar 

  5. Ajzen, I.: Attitudes, Personality and Behavior. Open University Press, Milton Keynes (1988)

    Google Scholar 

  6. Anderson, J.: Increasing acceptance of clinical information systems. MD Computing 16, 62–65 (1999)

    Google Scholar 

  7. Anderson, J.: Clearing the way for physicians’ use of clinical information systems. Communications of the ACM 40, 83–90 (1997)

    Article  Google Scholar 

  8. Anderson, J.G., Aydin, C.E.: Evaluating the impact of health care information systems. International Journal of Technical Assessment in Health Care 13, 380–393 (1997)

    Article  Google Scholar 

  9. Andrews, M.: The Hospital of the Future. U.S. News & World Report, 00415537, vol.146 (2009)

    Google Scholar 

  10. Baldwin, G.: Automating patient records. Technology in Practice, www.technologyinpractice.com

  11. Bandura, A.: Self-Efficacy: The Exercise of Control. Freeman, New York (1997)

    Google Scholar 

  12. Bandura, A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall, Englewood Cliffs (1986)

    Google Scholar 

  13. Basselier, G., Benbasat, I., Reich, B.: The influence of business managers’ IT competence. Information Systems Research 14, 317–336 (2003)

    Article  Google Scholar 

  14. Bates, D.W., Cohen, M., Leape, L.L., Overhage, J.M., Shabot, M.M., Sheridan, T.: Reducing the frequency of errors in medicine using information technology. Journal of the American Medical Informatics Association 8, 299–308 (2001)

    Article  Google Scholar 

  15. Berner, E.S.: Clinical decision support systems: State of the Art. AHRQ Publication No.09-0069-EF. Agency for Healthcare Research and Quality, Rockville (2009)

    Google Scholar 

  16. Bonora, E.A., Revang, O.: A strategic framework for analyzing professional service firm _ developing strategies for sustained performance. In: Strategic Management Society InterOrganizational Conference, Toronto, Canada (1991)

    Google Scholar 

  17. Borkowski, N.M., Allen, W.R.: Does attribution theory explain physicians’ nonacceptance of clinical practice guidelines? Hospital Topics: Research and Perspectives on Healthcare 81, 9–21 (2003)

    Article  Google Scholar 

  18. Brennan, M., Coles, C.: Developing professional skills. The Lancet 362(9394), 362–1506 (2003)

    Article  Google Scholar 

  19. Brown, S.A., Chervany, N.L., Reinicke, B.A.: What matters when introducing new information technology. Communications of the ACM 50, 91–96 (2007)

    Article  Google Scholar 

  20. Burt, C.W., Hing, E.: Use of computerized clinical support systems in medical settings: United States. Advance Data 353, 1–8 (2001-2003)

    Google Scholar 

  21. Chang, J.Y., Chen, L.K., Chang, C.C.: Perspectives and expectations for telemedicine opportunities from families of nursing home residents and caregivers in nursing homes. International Journal of Medical Informatics 78, 494–502 (2009)

    Article  Google Scholar 

  22. Chau, P.Y.K., Hu, P.J.: Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems 18, 191–229 (2002)

    Google Scholar 

  23. Chau, P.Y.K., Hu, P.J.: Investigating healthcare professionals’ decision to accept telemedicine technology: an empirical test of competing theories. Information and Management 39, 297–311 (2002)

    Article  Google Scholar 

  24. Chismar, W.G., Wiley-Patton, S.: Does the extended technology acceptance model apply to physicians. In: Proceedings of the 36th Hawaii International Conference on System Sciences (2003)

    Google Scholar 

  25. Colliver, V.: Digital diagnosis: study could determine if online consultations will fly, San Francisco Chronicle, www.mylifepath.com/bsc/newsroom/pub/

  26. Compeau, D.R., Higgins, C.A.: Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly 19, 189–211 (1995b)

    Article  Google Scholar 

  27. Compeau, D.R., Higgins, C.A., Huff, S.: Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly 23, 145–158 (1999)

    Article  Google Scholar 

  28. Conner, M., Armitage, C.J.: Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology 28, 1429–1464 (1998)

    Article  Google Scholar 

  29. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology 22, 1111–1132 (1992)

    Article  Google Scholar 

  30. Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies 38, 475–487 (1993)

    Article  Google Scholar 

  31. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: A comparison of two theoretical models. Management Science 35, 982–1003 (1989)

    Article  Google Scholar 

  32. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340 (1989)

    Article  Google Scholar 

  33. Dearne, K.: Health’s tech bypass, in The Australian, Sydney, pp. 1–4 (2003)

    Google Scholar 

  34. Dewet, T., Jones, G.R.: The role of information technology in the organization: a review, model, and assessment. Journal of Management 27, 313–346 (2001)

    Article  Google Scholar 

  35. Dowswell, G., Harrison, S., Wright, J.: Clinical guidelines: attitudes, information processes and culture in English primary care. International Journal of Health Planning and Management 16, 107–124 (2001)

    Article  Google Scholar 

  36. Freidson, E.: Professional Dominance: The Social Structure of Medicine. Atherton Press, New York (1970)

    Google Scholar 

  37. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)

    Google Scholar 

  38. Flower, J.: Digital technology essential and subversive. The Physician Executive 30, 42–45 (2004)

    Google Scholar 

  39. Gagnon, M.P., Godinb, G., Gagnéb, C., Fortina, J.P., Lamothec, L., Reinharza, D., Cloutierd, A.: An adaptation of the theory of interpersonal behavior to the study of telemedicine adoption by physicians. International Journal of Medical Informatics 71, 103–115 (2003)

    Article  Google Scholar 

  40. Gefen, D., Straub, D.W., Boudreau, M.: Structural equation modeling and regression: Guidelines for research practice. Communications of the AIS (2000)

    Google Scholar 

  41. Guriting, P., Ndubisi, O.N.: Borneo online banking: Evaluating customer perceptions and behavioral intention. Management Research News 29, 6–15 (2006)

    Article  Google Scholar 

  42. Harrison, S., Dowswell, G., Wright, J.: Practice nurses and clinical guidelines in a changing primary care context: an empirical study. Journal of Advanced Nursing 39, 299–307 (2002)

    Article  Google Scholar 

  43. Holsinger, J., Beaton, B.: Physician professionalism for a new century. Clinical Autonomy 19, 473–479 (2006)

    Google Scholar 

  44. Hsu, M.H., Chiu, C.M.: Internet self-efficacy and electronic service acceptance. Decision Support Systems 38, 369–381 (2004)

    Article  Google Scholar 

  45. Hu, P.J., Chau, P.Y.K., Sheng, O.R., Tam, K.Y.: Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems 16, 91–112 (1999)

    Article  Google Scholar 

  46. Hu, P.J., Chau, P.Y.K., Sheng, O.R.: Adoption of telemedicine technology by health care organizations: an exploratory study. Journal of Organizational Computing and Electronic Commerce 12, 197–221 (2002)

    Article  Google Scholar 

  47. Igbaria, M.: User acceptance of microcomputer technology: an empirical test. Omega 21, 73–90 (1993)

    Article  Google Scholar 

  48. Igbaria, M., Guimaraes, T., Davis, G.: Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems 11, 87–114 (1995)

    Article  Google Scholar 

  49. Istepanian, R.S.H.: Telemedicine in the United Kingdom: current status and future prospects. IEEE Transactions on Information Technology in Biomedicine 3, 158–159 (1999)

    Article  Google Scholar 

  50. King, W.R., He, J.: A meta-analysis of the technology acceptance model. Information and Management 43, 740–755 (2006)

    Article  Google Scholar 

  51. Lowenhaupt, M.: Removing barriers to technology. The Physician Executive 30, 12–14 (2004)

    Google Scholar 

  52. Marakas, G.M., Yi, M.Y., Johnson, R.D.: The Multilevel and Multifaceted Character of Computer Selfefficacy: Toward Clarification of the Construct and an Integrative Framework for Research. Information Systems Research 9, 126–163 (1998)

    Article  Google Scholar 

  53. Mathieson, K.: Predicting user intentions: comparing the technology acceptance model with the theory of planned behaviour. Information Systems Research 2, 173–191 (1991)

    Article  Google Scholar 

  54. Montague, E.N.H., Kleiner, B.M., Winchester, W.W.: Empirically understanding trust in medical technology. International Journal of Industrial Ergonomics 39, 628–634 (2009)

    Article  Google Scholar 

  55. Murray, D.: Healthcare challenge. Australian Information Week 3, 10–18 (2002)

    Google Scholar 

  56. Nonaka, I., Takeuchi, H.: The Knowledge –Creating Company. Oxford University Press, New York (1995)

    Google Scholar 

  57. Pain, D., Fielden, K., Shibl, R.A.: Options on the use of clinical decision support systems for paediatric prescribing in a New Zealand hospital. Logistics Information Management 16, 201–206 (2003)

    Article  Google Scholar 

  58. Paul, D.L., McDaniel Jr., R.R.: A field study of the effect of interpersonal trust on virtual collaborative relationship performance. MIS Quarterly 28, 183–227 (2004)

    Google Scholar 

  59. Purao, S., Storey, V.C.: Evaluating the adoption potential of design science efforts: The case of APSARA. Decision Support Systems 44, 369–381 (2008)

    Article  Google Scholar 

  60. Scott, R.E.: E-Records in health—preserving our future. International Journal of Medical Informatics 76, 427–431 (2007)

    Article  Google Scholar 

  61. Ratnasingam, P., Gefen, D., Pavlou, P.A.: The role of facilitating conditions and institutional trust in electronic marketplaces. Journal of Electronic Commerce 48, 69–82 (2005)

    Article  Google Scholar 

  62. Reid, M., Levy, Y.: Integrating Trust and Computer Self-Efficacy with TAM: An Empirical Assessment of Customers’ Acceptance of Banking Information Systems (BIS) in Jamaica. Journal of Internet Banking & Commerce 13 (2008)

    Google Scholar 

  63. Rogers, E.: Diffusion of Innovations, 4th edn. The Free Press, New York (1995)

    Google Scholar 

  64. Shortliffe, E.H.: The evolution of electronic medical records. Academic Medicine 74, 414–419 (1999)

    Article  Google Scholar 

  65. Sittig, D., Krall, M., Dykstra, R., et al.: A survey of factors affecting clinician acceptance of clinical decision support. BMC Med. Inform. Decis. Mak. 6 (2006)

    Google Scholar 

  66. Sood, S., Mbarika, V., Jugoo, S., Dookhy, R., Doarn, C.R., Prakash, N., Merrell, R.C.: What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings. Telemed. e-Health 13, 573–590 (2007)

    Article  Google Scholar 

  67. Srinivasan, S.: Role of trust in e-business success. Information Management & Computer Security 12, 66–72 (2004)

    Article  Google Scholar 

  68. Szajna, B.: Empirical evaluation of the revised technology acceptance model. Management Science 42, 85–92 (1996)

    Article  Google Scholar 

  69. Thompson, T.J., Brailer, D.G.: The decade of health information technology: delivering consumer-centric and information-rich health care. In: Framework for Strategic Action, Office of the National Coordinator for Health Information Technology. Department of Health and Human Services, Washington (2004)

    Google Scholar 

  70. Tierney, W.M., Overhage, J.M., McDonald, C.J.: Demonstrating the effects of an IAIMS on health care quality and cost. Journal of the American Medical Informatics Association 4, 41–46 (1997)

    Article  Google Scholar 

  71. Triandis, H.C.: Interpersonal Behavior. Brooke/Cole, Monterey (1977)

    Google Scholar 

  72. Tung, F.C., Chang, S.C., Chou, C.M.: An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int. J. Med. Inform. 77, 324–335 (2008)

    Article  Google Scholar 

  73. Walter, Z., Lopez, M.S.: Physicians acceptance of information technology: Role of perceived threat to professional autonomy. Decision Support Systems 64, 206–215 (2008)

    Article  Google Scholar 

  74. Watts, C.: Erosion of healthcare professional autonomy and public respect for the profession. Surgical Neurology 71, 269–273 (2008)

    Article  Google Scholar 

  75. Varonen, H., Kortteisto, T., Kaila, M.: What help or hinder the implementation of computerized decision support systems (CDSSs): a focus group study with physicians. Fam. Pract. 25, 162–167 (2008)

    Article  Google Scholar 

  76. Venkatesh, V., Davis, F.D.: A model of the perceived ease of use: Development and test. Decision Sciences 27, 451–481 (1996)

    Article  Google Scholar 

  77. Venkatesh, V., Davis, F.: A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46, 186–204 (2000)

    Article  Google Scholar 

  78. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.: User acceptance of information technology: toward a unified view. MIS Quarterly 7, 425–478 (2003)

    Google Scholar 

  79. Wenn, A., Tantnall, A., Sellitto, C., Darbyshire, P., Burgess, S.: A sociotechnical investigation of factors affecting IT adoption by rural GPs’. In: Information Technology in Regional Areas, Using IT: Make IT happen, Online, Rockhampton, Queensland Australia (2002)

    Google Scholar 

  80. Western, M., Dwan, K., Makkai, T., del Mar, C., Western, J.: Measuring IT use in Australian General Practice’, University of Queensland, Australia (2001)

    Google Scholar 

  81. Yi, M.Y., Jackson, J.D., Park, J.S., Probst, J.C.: Understanding information technology acceptance by individual professionals: Toward an integrative view. Information and Management 43, 350–363 (2006)

    Article  Google Scholar 

  82. Wang, Y.S., Wang, Y.M., Lin, H.H., Tang, T.I.: Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management 14, 501–519 (2003)

    Article  Google Scholar 

  83. Zuger, A.: Dissatisfaction with medical practice. N. Engl. J. Med. 350, 69–75 (2004)

    Article  Google Scholar 

  84. Kleiner, B.M.: Sociotechnical system design in health care. In: Carayon, P. (ed.) Handbook of Human Factors and Ergonomics in Health Care and Patient Safety, pp. 79–94. Lawrence Erbaum Associates Inc., Mahwah (2006)

    Google Scholar 

  85. McMillan, S.J.: Exploring models of interactivity from multiple research traditions: Users, documents, and systems. In: Lievrouw, L., Livingston, S. (eds.) Handbook of New Media, pp. 163–182. Sage, London (2002)

    Google Scholar 

  86. Zack, M.H.: Interactivity and communication mode choices in ongoing management groups. Information System Research 4, 207–239 (1993)

    Article  Google Scholar 

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Esmaeilzadeh, P., Sambasivan, M., Kumar, N. (2010). The Challenges and Issues Regarding E-Health and Health Information Technology Trends in the Healthcare Sector. In: Zaman, M., Liang, Y., Siddiqui, S.M., Wang, T., Liu, V., Lu, C. (eds) E-business Technology and Strategy. CETS 2010. Communications in Computer and Information Science, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16397-5_2

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