A Framework Assessing Information System Adoption and Utilisation in the Healthcare

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-39 Number-2
Year of Publication : 2016
Authors : Nahurira Enos, Businge John, Nakato Ruth


Nahurira Enos, Businge John, Nakato Ruth "A Framework Assessing Information System Adoption and Utilisation in the Healthcare". International Journal of Computer Trends and Technology (IJCTT) V39(2):89-99, September 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The healthcare industry has undergone a major drift aimed at enhancing quality of life, diagnosis and treatment of diseases, improved service delivery as well as efficiency and effectiveness of the health care system. The adoption and utilization of Information systems plays a key role in improving service delivery and quality of service in healthcare. Despite the importance of information systems in Uganda’s health care , Uganda continues to register low levels of system adoption and system failure. The existing Frameworks do not sufficiently explain the reasons for low adoption and system failure. The current IS Models and Frameworks were developed in a different environment and settings therefore they do not sufficiently meet the system quality and designs in LDCs like Uganda. The purpose of this paper is to assess the factors that influence adoption and utilization of information systems in the Healthcare. The study will ascertain adoption and utilization factors in selected Hospitals in a developing country context like Uganda and build a Framework for adoption of IS.

1) Osborn, D., A. Cutter, and F. Ullah. Universal sustainable development goals. Understanding the transformational challenge for developed countries. 2015: London. Report of a study Stakeholder Forum, May.
2) Mayosi, B.M., et al., Health in South Africa: changes and challenges since 2009. The Lancet. 380(9858): p. 2029- 2043.
3) Isabalija, S.R., et al., Factors affecting adoption, implementation and sustainability of telemedicine information systems in Uganda. Journal of Health Informatics in Developing Countries. 5(2).
4) Mayoka, K.G., et al., A framework for designing sustainable telemedicine information systems in developing countries. Journal of Systems and Information Technology, 2012. 14(3): p. 200-219.
5) Epstein, R.M., et al., Patient-centered communication and diagnostic testing. The Annals of Family Medicine, 2005. 3(5): p. 415-421.
6) Chang, I.-C., et al., Factors affecting cross-hospital exchange of electronic medical records. Information & Management, 2009. 46(2): p. 109-115.
7) Ayers, D.J., et al., Adoption of electronic medical records: the role of network effects. Journal of Product & Brand Management, 2009. 18(2): p. 127-135.
8) Mayoka, K.G., et al., A framework for designing sustainable telemedicine information systems in developing countries. Journal of Systems and Information Technology. 14(3): p. 200-219.
9) Namakula, S. and G. Kituyi, Examining health information systems success factors in Uganda’s Healthcare System. The Journal of Global Health Care Systems. 4(1).
10) Garrib, A., et al., An evaluation of the district health information system in rural South Africa. SAMJ: South African Medical Journal, 2008. 98(7): p. 549-552.
11) Poissant, L., et al., The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. Journal of the American Medical Informatics Association, 2005. 12(5): p. 505-516.
12) Hendrich, A., et al., A 36-hospital time and motion study: how do medical-surgical nurses spend their time? RCHE Publications, 2008: p. 50.
13) Oladosu, J.B., A. Ajala, and O.O. Popoola, On the use of web services technology in e-health applications. Journal of Theoretical and Applied Information Technology, 2009. 12(2).
14) Taticchi, P., P. Cocca, and M. Alberti, A framework to assess performance measurement systems in SMEs. International Journal of Productivity and Performance Management. 59(2): p. 186-200.
15) Abelson, J., et al., Obtaining public input for health‐systems decision‐making: Past experiences and future prospects. Canadian Public Administration, 2002. 45(1): p. 70-97.
16) Shtilionov, R.M., „Automanager‐–Web based software, helping in managing the information for the vehicles in a showroom. Journal of Software Ecosystems. 1(1).
17) Kolodner, R.M., S.P. Cohn, and C.P. Friedman, Health information technology: Strategic initiatives, real progress. Health Affairs, 2008. 27(5): p. w391-w395.
18) Hilliard, C., Social Media for Healthcare: A Content Analysis of MD Anderson’s Facebook Presence and its Contribution to Cancer Support Systems. The Elon Journal of Undergraduate Research in Communications. 23.
19) Johnson, C., Identifying common problems in the acquisition and deployment of large-scale, safety–critical, software projects in the US and UK healthcare systems. Safety Science. 49(5): p. 735-745.
20) Pilat, D. and F.C. Lee, Productivity Growth in ICTproducing and ICT-using Industries. 2001.
21) Lehtimäki, T., et al., Impact of routine contrast-enhanced CT on costs and use of hospital resources in patients with acute abdomen. Results of a randomised clinical trial. European radiology. 23(9): p. 2538-2545.
22) Perera, G., et al., Views on health information sharing and privacy from primary care practices using electronic medical records. International journal of medical informatics. 80(2): p. 94-101.
23) Calman, N., K. Kitson, and D. Hauser, Using information technology to improve health quality and safety in community health centers. Progress in community health partnerships: research, education, and action, 2007. 1(1): p. 83.
24) Ahmadi, H., et al., Ranking the macro-level critical success factors of electronic medical record adoption using fuzzy AHP method. International Journal of Innovation and Scientific Research. 8(1): p. 35-42.
25) Bodaken, B., et al., Sustainable Success in Accountable Care: National Academy of Medicine.
26) Chiasson, M.W. and E. Davidson, Pushing the contextual envelope: developing and diffusing IS theory for health information systems research. Information and Organization, 2004. 14(3): p. 155-188.
27) Aggelidis, V.P. and P.D. Chatzoglou, Using a modified technology acceptance model in hospitals. International journal of medical informatics, 2009. 78(2): p. 115-126.
28) Ammenwerth, E., et al., Evaluation of health information systems—problems and challenges. International journal of medical informatics, 2003. 71(2): p. 125-135.
29) Abdekhoda, M., et al., Information technology acceptance in health information management. Methods of information in medicine. 53(1): p. 14-20.
30) Heeks, R., Information systems and developing countries: Failure, success, and local improvisations. The information society, 2002. 18(2): p. 101-112.
31) Mamatela, M., An empirical study of the technological, organisational and environmental factors influencing South African medical enterprises' propensity to adopt electronic health technologies.
32) Benson, M. and A.C. DHA, Hospital information systems in Nigeria: a review of literature. The Journal of Global Health Care Systems. 1(3).
33) Ochieng, O.G. and R. Hosoi, Factors influencing diffusion of electronic medical records: a case study in three healthcare institutions in Japan. Health Information Management, 2005. 34(4): p. 120-129.
34) Amanyire, G., et al., Client and provider perspectives of the efficiency and quality of care in the context of rapid scaleup of antiretroviral therapy. AIDS patient care and STDs. 24(11): p. 719-727.
35) Bhatti, T. Critical success factors for the implementation of enterprise resource planning (ERP): empirical validation. in the second international conference on innovation in information technology. 2005.
36) Vest, J.R., More than just a question of technology: Factors related to hospitals’ adoption and implementation of health information exchange. International journal of medical informatics. 79(12): p. 797-806.
37) Hung, S.-Y., et al., Critical factors of hospital adoption on CRM system: Organizational and information system perspectives. Decision support systems. 48(4): p. 592-603.
38) Lehman, W.E., J.M. Greener, and D.D. Simpson, Assessing organizational readiness for change. Journal of substance abuse treatment, 2002. 22(4): p. 197-209.
39) Sarosa, S. and D. Zowghi, Strategy for adopting information technology for SMEs: Experience in adopting email within an Indonesian furniture company. Electronic Journal of Information Systems Evaluation, 2003. 6(2): p. 165-176.
40) Paul, M.C., et al. Low cost and portable patient monitoring system for e-Health services in Bangladesh. in 2016 International Conference on Computer Communication and Informatics (ICCCI): IEEE.
41) Malling, P., Information systems and human activity in Nepal. Information Technology in Context. Studies from the Perspective of Developing Countries. Aldershot: Ashgate, 2000: p. 11-22.
42) Ishijima, H., et al., Challenges and opportunities for effective adoption of HRH information systems in developing countries: national rollout of HRHIS and TIIS in Tanzania. Human resources for health. 13(1): p. 1.
43) Tornatzky, L.G., M. Fleischer, and A.K. Chakrabarti, Processes of technological innovation. 1990: Lexington Books.
44) Rogers, E., Diffusion of Innovations fourth edition The Free Press. New York, 1995.
45) Szewczak, E. and C. Snodgrass, Managing the human side of information technology: Challenges and solutions. 2003: IGI Global.
46) Venkatesh, V., et al., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.
47) Petter, S., W. DeLone, and E.R. McLean, Information systems success: The quest for the independent variables. Journal of Management Information Systems. 29(4): p. 7-62.
48) Hwang, H.-G., et al., Investigation of the application of KMS for diseases classifications: A study in a Taiwanese hospital. Expert Systems with Applications, 2008. 34(1): p. 725-733.
49) Teddlie, C. and A. Tashakkori, Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. 2009: Sage Publications Inc.
50) Albrecht, G., et al., Sustainable Development Strategy for Springwater Community-Gresham, Oregon: Recommendations for Sustainable Development Incentives. 2005.
51) Siriwichai, C., The influence of Japanese customers’ demographics on their perceptions of cooperative agri-food retailers: the case of Konohana Garten. Ritsumeikan Journal of Asia Pacific Studies: p. 1.
52) Chuttur, M.Y., Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 2009. 9(37): p. 9- 37.
53) Venkatesh, V. and F.D. Davis, A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 1996. 27(3): p. 451-481.

HIS- Health Information Systems ISInformation Systems, IT- Information Technology.