Modelling the Business Value of IT in Health Care: Technical and Sociotechnical Perspectives

  • Peter Haddad
  • Jonathan L. Schaffer
  • Nilmini Wickramasinghe
Part of the Healthcare Delivery in the Information Age book series (Healthcare Delivery Inform. Age)


Significant investments are made by the healthcare industry globally in information technology (IT) to enhance patient outcomes, safety, efficiency, and financial performance. However, unlike other industries, the complexity of healthcare confounds the evaluation of the business value of these IT solutions. To date, it has been difficult to clearly articulate the true business value of IT in healthcare contexts. This study addresses this challenge by proposing a conceptual model for the business value of IT in the complex context of healthcare. This model is based on a systematic literature review in the area of using IT in healthcare and informed by two previous works to conceptualize IT investments in any given context (IT Portfolio) and various healthcare delivery activities/operations from a sociotechnical perspective (The Enterprise of Healthcare Delivery).


Healthcare Information systems Information technology Business value Value 


  1. (IDC), I. D. C. (2016). Worldwide semiannual IT spending guide: Vertical and company size [Press release].Google Scholar
  2. Aarts, J., Callen, J., Coiera, E., & Westbrook, J. (2010). Information technology in health care: Socio-technical approaches (Vol. 79, pp. 389–390).CrossRefPubMedGoogle Scholar
  3. Anderson, G. F., Frogner, B. K., Johns, R. A., & Reinhardt, U. E. (2006). Health care spending and use of information technology in OECD countries. Health Affairs, 25(3), 819–831.CrossRefPubMedGoogle Scholar
  4. Andrews, L., Gajanayake, R., & Sahama, T. (2014). The Australian general public’s perceptions of having a personally controlled electronic health record (PCEHR). International Journal of Medical Informatics, 83(12), 889–900.CrossRefPubMedGoogle Scholar
  5. Appari, A., Carian, E. K., Johnson, M. E., & Anthony, D. L. (2012). Focus on health information technology, electronic health records and their financial impact: Medication administration quality and health information technology: A national study of US hospitals. Journal of the American Medical Informatics Association: JAMIA, 19(3), 360.CrossRefPubMedGoogle Scholar
  6. Balabanova, D., Mills, A., Conteh, L., Akkazieva, B., Banteyerga, H., Dash, U., et al. (2013). Good health at low cost 25 years on: Lessons for the future of health systems strengthening. The Lancet, 381(9883), 2118–2133.CrossRefGoogle Scholar
  7. Bank, T. W. (2015). World Health Organization Global Health Expenditure database. Retrieved 17/05/2015, from The World Bank
  8. Berg, M. (1999). Patient care information systems and health care work: A sociotechnical approach. International Journal of Medical Informatics, 55(2), 87–101. CrossRefPubMedGoogle Scholar
  9. Blumenthal, D., & Jena, A. B. (2013). Hospital value-based purchasing. Journal of Hospital Medicine, 8(5), 271–277.CrossRefPubMedGoogle Scholar
  10. Brenner, S. K., Kaushal, R., Grinspan, Z., Joyce, C., Kim, I., Allard, R. J., et al. (2015). Effects of health information technology on patient outcomes: A systematic review. Journal of the American Medical Informatics Association: JAMIA, 23(5), 1016–1036.CrossRefPubMedGoogle Scholar
  11. Business Process Improvements. (2011). Business Process Improvement (BPI) projects – the top ten reasons why they often end in failure [Press release]. Retrieved from
  12. Chatterjee, P., Joynt, K. E., Orav, E. J., & Jha, A. K. (2012). Patient experience in safety-net hospitals: Implications for improving care and value-based purchasing. Archives of Internal Medicine, 172(16), 1204–1210.CrossRefPubMedGoogle Scholar
  13. Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., et al. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752. CrossRefPubMedGoogle Scholar
  14. CMS. (2013). Roadmap for implementing value driven healthcare in the traditional Medicare fee-for-service program: Centers for Medicare & Medicaid Services.Google Scholar
  15. Dahlgren, J. W., & Cokus, M. S. (2007). Real options and flexibility in organizational design (pp. 1–7).Google Scholar
  16. Dalrymple, P. W. (2011). Data, information, knowledge: The emerging field of health informatics (Feature). Bulletin of the American Society for Information Science and Technology, 37(5), 41.CrossRefGoogle Scholar
  17. Das, S., Yaylacicegi, U., & Menon, N. M. (2010). The effect of information technology investments in healthcare: A longitudinal study of its lag, duration, and economic value. IEEE Transactions on Engineering Management, 58(1), 124–140. CrossRefGoogle Scholar
  18. Das, S., Yaylacicegi, U., & Menon, N. M. (2011). The effect of information technology investments in healthcare: A longitudinal study of its lag, duration, and economic value. IEEE Transactions on Engineering Management, 58(1), 124–140. CrossRefGoogle Scholar
  19. DesRoches, C. M., Charles, D., Furukawa, M. F., Joshi, M. S., Kralovec, P., Mostashari, F., et al. (2013). Adoption of electronic health records grows rapidly, but fewer than half of US hospitals had at least a basic system in 2012. Health Affairs,
  20. Elliott, R. A., Putman, K., Franklin, M., Verhaeghe, N., Annemans, L., Eden, M., et al. (2013). Economic evaluation of a pharmacist-led IT-based intervention with simple feedback in reducing rates of clinically important errors in medicines management in general practices (PINCER). Birmingham: Department of Health Patient Safety Research Portfolio, University of Birmingham.Google Scholar
  21. Eybers, S., Kroeze, J. H., & Strydom, I. (2013). Towards a classification framework of business intelligence value research. Italian Chapter of AIS (itAIS 2013).Google Scholar
  22. Eysenbach, G. (2001). What is e-health? Journal of Medical Internet Research, 3(2), e20. CrossRefPubMedPubMedCentralGoogle Scholar
  23. Eysenbach, G., Powell, J., Kuss, O., & Sa, E. (2002). Empirical studies assessing the quality of health information for consumers on the world wide web: A systematic review. JAMA, 287(20), 2691–2700. CrossRefPubMedGoogle Scholar
  24. Farley, H. L., Baumlin, K. M., Hamedani, A. G., Cheung, D. S., Edwards, M. R., Fuller, D. C., et al. (2013). Quality and safety implications of emergency department information systems. Annals of Emergency Medicine, 62(4), 399–407.CrossRefPubMedGoogle Scholar
  25. Fichman, R. G., & Melville, N. P. (2014). How posture-profile misalignment in IT innovation diminishes returns: Conceptual development and empirical demonstration. Journal of Management Information Systems, 31(1), 203–240. CrossRefGoogle Scholar
  26. Freedman, S., Lin, H., & Prince, J. (2014). Information technology and patient health: An expanded analysis of outcomes, populations, and mechanisms. Social Science Research Network SSRN Scholarly Paper ID, 2445431.Google Scholar
  27. Frimpong, J. A., Jackson, B. E., Stewart, L. M., Singh, K. P., Rivers, P. A., & Bae, S. (2013). Health information technology capacity at federally qualified health centers: A mechanism for improving quality of care. BMC Health Services Research, 13(1), 1.CrossRefGoogle Scholar
  28. Frisse, M. E., Johnson, K. B., Nian, H., Davison, C. L., Gadd, C. S., Unertl, K. M., et al. (2012). The financial impact of health information exchange on emergency department care. Journal of the American Medical Informatics Association, 19(3), 328–333.CrossRefPubMedGoogle Scholar
  29. Gartner, I. (2015). Gartner says worldwide IT Spending across vertical industries to decline 3.5 percent in 2015 [Press release].Google Scholar
  30. Georgiou, A., Lang, S., Rosenfeld, D., & Westbrook, J. (2011). The use of computerized provider order entry to improve the effectiveness and efficiency of coagulation testing. Archives of Pathology & Laboratory Medicine, 135(4), 495–498.Google Scholar
  31. Goldzweig, C. L., Orshansky, G., Paige, N. M., Towfigh, A. A., Haggstrom, D. A., Miake-Lye, I., et al. (2013). Electronic patient portals: Evidence on health outcomes, satisfaction, efficiency, and attitudes: A systematic review. Annals of Internal Medicine, 159(10), 677–687.CrossRefPubMedGoogle Scholar
  32. Greenhalgh, T., & Keen, J. (2013). England’s national programme for IT. British Medical Journal, 346, f4130.CrossRefPubMedGoogle Scholar
  33. Haddad, P., Gregory, M., & Wickramasinghe, N. (2014a). Business value of IT in healthcare. In L. Al-Hakim, C. Gonzalez, N. Wickramasinghe, & T. Joseph (Eds.), Lean thinking for healthcare. New York: Springer.Google Scholar
  34. Haddad, P., Gregory, M., & Wickramasinghe, N. (2014b). Evaluating business value of IT in healthcare in australia: The case of an intelligent operational planning support tool solution. Paper presented at the Bled 2014.Google Scholar
  35. Haddad, P., Schaffer, J., & Wickramasinghe, N. (2015). Evaluating business value of IT in healthcare: Three clinical practices from Australia and the US. Paper presented at the MEDINFO 2015: EHealth-enabled Health: Proceedings of the 15th World Congress on Health and Biomedical Informatics.Google Scholar
  36. Haddad, P., & Wickramasinghe, N. (2014). The role of IT governance in generating business value from IT investments in healthcare: Lessons from an Australian experience. Paper presented at the Bled 2015, Bled, Slovenia.Google Scholar
  37. Hibbard, J. H., Greene, J., Sofaer, S., Firminger, K., & Hirsh, J. (2012). An experiment shows that a well-designed report on costs and quality can help consumers choose high-value health care. Health Affairs, 31(3), 560–568.CrossRefPubMedGoogle Scholar
  38. HIMSS. (Ed.). (2013). HIMSS.Google Scholar
  39. HIMSS Analytics. (2009). HIMSS analytic database definitions. Retrieved 10 June 2012, from HIMSS
  40. Ilie, V., Courtney, J. F., & Van Slyke, C. (2007). Paper versus electronic: Challenges associated with physicians’ usage of electronic medical records.Google Scholar
  41. Jones, S. S., Rudin, R. S., Perry, T., & Shekelle, P. G. (2014). Health information technology: An updated systematic review with a focus on meaningful use. Annals of Internal Medicine, 160(1), 48–54. CrossRefPubMedGoogle Scholar
  42. Kaplan, R. S., & Witkowski, M. L. (2014). Better accounting transforms health care delivery. Accounting Horizons, 28(2), 365–383.CrossRefGoogle Scholar
  43. Kaushal, R., Shojania, K. G., & Bates, D. W. (2003). Effects of computerized physician order entry and clinical decision support systems on medication safety: A systematic review. Archives of Internal Medicine, 163(12), 1409–1416.CrossRefPubMedGoogle Scholar
  44. Kawamoto, K., Martin, C. J., Williams, K., Tu, M.-C., Park, C. G., Hunter, C., et al. (2015). Value driven outcomes (VDO): A pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes. Journal of the American Medical Informatics Association, 22(1), 223–235.CrossRefPubMedGoogle Scholar
  45. Kellermann, A. L., & Jones, S. S. (2013). What it will take to achieve the as-yet-unfulfilled promises of health information technology. Health Affairs, 32(1), 63–68.CrossRefPubMedGoogle Scholar
  46. Kern, L. M., Wilcox, A., Shapiro, J., Dhopeshwarkar, R. V., & Kaushal, R. (2012). Which components of health information technology will drive financial value? The American Journal of Managed Care, 18(8), 438–445.PubMedGoogle Scholar
  47. Kohli, R., & Grover, V. (2008). Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the Association for Information Systems, 9(1), 23–28, 30–34, 36–39.CrossRefGoogle Scholar
  48. Kumar, R., Ajjan, H., & Niu, Y. (2008). Information technology portfolio management: Literature review, framework, and research issues. Information Resources Management Journal, 21(3), 64.CrossRefGoogle Scholar
  49. Laliberte, B. (2012). The most important consideration for justifying IT purchases in 2012 [Press release].Google Scholar
  50. Lee, K., Wan, T. T., & Kwon, H. (2013). The relationship between healthcare information system and cost in hospital. Personal and Ubiquitous Computing, 17(7), 1395–1400.CrossRefGoogle Scholar
  51. Lee, T.-F. (2013). An efficient chaotic maps-based authentication and key agreement scheme using smartcards for telecare medicine information systems. Journal of Medical Systems, 37(6), 1–9.CrossRefGoogle Scholar
  52. Lippi, G., Brambilla, M., Bonelli, P., Aloe, R., Balestrino, A., Nardelli, A., et al. (2015). Effectiveness of a computerized alert system based on re-testing intervals for limiting the inappropriateness of laboratory test requests. Clinical Biochemistry, 48(16), 1174–1176.CrossRefPubMedGoogle Scholar
  53. Low, A., Phillips, A., Ancker, J., Patel, A., Kern, L., & Kaushal, R. (2013). Financial effects of health information technology: A systematic review. The American Journal of Managed Care, 19(10 Spec No), SP369–SP376.Google Scholar
  54. Maklan, S., Peppard, J., & Klaus, P. (2015). Show me the money. European Journal of Marketing, 49(3/4), 561.CrossRefGoogle Scholar
  55. McCoy, A. B., Waitman, L. R., Lewis, J. B., Wright, J. A., Choma, D. P., Miller, R. A., & Peterson, J. F. (2012). Focus on health information technology, electronic health records and their financial impact: A framework for evaluating the appropriateness of clinical decision support alerts and responses. Journal of the American Medical Informatics Association: JAMIA, 19(3), 346.CrossRefPubMedGoogle Scholar
  56. Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322.CrossRefGoogle Scholar
  57. Melville, N., & McQuaid, M. (2012). Generating shareable statistical databases for business value: Multiple imputation with multimodal perturbation. Information Systems Research, 23(2), 559–574, 596.CrossRefGoogle Scholar
  58. Menon, N. M., Lee, B., & Eldenburg, L. (2000). Productivity of information systems in the healthcare industry. Information Systems Research, 11(1), 83–92.CrossRefGoogle Scholar
  59. Middleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., et al. (2013). Enhancing patient safety and quality of care by improving the usability of electronic health record systems: Recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1), e2–e8.CrossRefPubMedPubMedCentralGoogle Scholar
  60. Muhammad, I., Teoh, S., & Wickramasinghe, N. (2013a). The need for a socio-technical analysis in E-health: The case of the PCEHR. International Journal of E-Health and Medical Communications (IJEHMC), 4(2), 65–79.CrossRefGoogle Scholar
  61. Muhammad, I., & Wickramasinghe, N. (2014). How an actor network theory (ANT) analysis can help us to understand the personally controlled electronic health record (PCEHR) in Australia. In Technological Advancements and the Impact of Actor-Network Theory, 15.Google Scholar
  62. Muhammad, I., Zwicker, M., & Wickramasinghe, N. (2013b). Using ANT to understand key issues for successful e-Health solutions. Paper presented at the 46th Hawaii International Conference on System Sciences (HICSS).Google Scholar
  63. Nachira, F. (2002). Toward a network ofdigital business ecosystems fosteringthe local development. Retrieved 15/12/2015, 2014, from
  64. Nanji, K. C., Slight, S. P., Seger, D. L., Cho, I., Fiskio, J. M., Redden, L. M., et al. (2014). Overrides of medication-related clinical decision support alerts in outpatients. Journal of the American Medical Informatics Association, 21(3), 487–491.CrossRefPubMedGoogle Scholar
  65. Nguyen, L., Bakewell, L., Wickramasinghe, N., Haddad, P., Muhammad, I., Moghimi, H., et al. (2015). Transition from paper to electronic nursing documentation in residential aged care: An actor network theory analysis. Electronic Journal of Health Informatics, 9(1), 4.Google Scholar
  66. Nuckols, T. K., Smith-Spangler, C., Morton, S. C., Asch, S. M., Patel, V. M., Anderson, L. J., et al. (2014). The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: A systematic review and meta-analysis. Systematic Reviews, 3(1), 1.CrossRefGoogle Scholar
  67. Nurek, M., Kostopoulou, O., Delaney, B. C., & Esmail, A. (2015). Reducing diagnostic errors in primary care. A systematic meta-review of computerized diagnostic decision support systems by the LINNEAUS collaboration on patient safety in primary care. European Journal of General Practice, 21(sup1), 8–13.CrossRefPubMedGoogle Scholar
  68. OECD. (2010). Improving value in health care: OECD Publishing.Google Scholar
  69. OECD. (2013). Strengthening health information infrastructure for health care quality governance: OECD Publishing.Google Scholar
  70. Oh, H., Rizo, C., Enkin, M., & Jadad, A. (2005). What is eHealth (3): A systematic review of published definitions. Journal of Medical Internet Research, 7(1), e1.
  71. Park, S. L., Parwani, A. V., & Pantanowitz, L. (2014). Electronic medical records practical informatics for cytopathology (pp. 121–127). New York: Springer.CrossRefGoogle Scholar
  72. Piette, J. D., Striplin, D., Marinec, N., Chen, J., Gregory, L. A., Sumerlin, D. L., et al. (2015). Improving post-hospitalization transition outcomes through accessible health information technology and caregiver support: Protocol for a randomized controlled trial. Journal of Clinical Trials, 5(5), 240.PubMedPubMedCentralGoogle Scholar
  73. Pope, C., & Mays, N. (2013). Qualitative research in health care. Hoboken: John Wiley & Sons.Google Scholar
  74. Porter, M. (2010). What is value in health care? The New England Journal of Medicine, 363(26), 2477–2481. CrossRefPubMedGoogle Scholar
  75. Porter, M. E., Pabo, E. A., & Lee, T. H. (2013). Redesigning primary care: A strategic vision to improve value by organizing around patients’ needs. Health Affairs, 32(3), 516–525.CrossRefPubMedGoogle Scholar
  76. Ramirez, R., Melville, N., & Lawler, E. (2010). Information technology infrastructure, organizational process redesign, and business value: An empirical analysis. Decision Support Systems, 49(4), 417–429. CrossRefGoogle Scholar
  77. Raschke, R. L., & Sen, S. (2013). A value-based approach to the ex-ante evaluation of IT enabled business process improvement projects. Information & Management, 50(7), 446–456. CrossRefGoogle Scholar
  78. Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., et al. (2013). Features of effective computerised clinical decision support systems: Meta-regression of 162 randomised trials. BMJ, 346, f657.CrossRefPubMedGoogle Scholar
  79. Rotar, A. M., van den Berg, M. J., Kringos, D. S., & Klazinga, N. S. (2016). Reporting and use of the OECD health care quality indicators at national and regional level in 15 countries. International Journal for Quality in Health Care, 28(3), 398–404.CrossRefPubMedGoogle Scholar
  80. Rouse, W. (2009). Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Systems Research and Behavioral Science, 26(5), 573–582. CrossRefGoogle Scholar
  81. Rouse, W. B., & Cortese, D. A. (2010). Engineering the system of healthcare delivery. Amsterdam: IOS Press.Google Scholar
  82. Serbanati, L. D., Ricci, F. L., Mercurio, G., & Vasilateanu, A. (2011). Steps towards a digital health ecosystem. Journal of Biomedical Informatics, 44(4), 621–636. CrossRefPubMedGoogle Scholar
  83. Shekelle, P. G., Pronovost, P. J., Wachter, R. M., Taylor, S. L., Dy, S. M., Foy, R., et al. (2011). Advancing the science of patient safety. Annals of Internal Medicine, 154(10), 693–696.CrossRefPubMedGoogle Scholar
  84. Singh, H., Spitzmueller, C., Petersen, N. J., Sawhney, M. K., Smith, M. W., Murphy, D. R., et al. (2013). Primary care practitioners’ views on test result management in EHR-enabled health systems: A national survey. Journal of the American Medical Informatics Association, 20(4), 727–735.CrossRefPubMedGoogle Scholar
  85. Tang, P. (2003). Key capabilities of an electronic health record system. Washington, DC: Institute of Medicine of the National Academies.Google Scholar
  86. Troshani, I., & Wickramasinghe, N. (2016). An organizing vision perspective for developing and adopting e-health solutions. In Contemporary consumer health informatics (pp. 271–281). Cham: Springer.CrossRefGoogle Scholar
  87. Tucker, C. A., Cieza, A., Riley, A. W., Stucki, G., Lai, J. S., Ustun, T. B., et al. (2014). Concept analysis of the patient reported outcomes measurement information system (PROMIS®) and the international classification of functioning, disability and health (ICF). Quality of Life Research, 23(6), 1677–1686.CrossRefPubMedGoogle Scholar
  88. Unertl, K. M., Johnson, K. B., & Lorenzi, N. M. (2012). Focus on health information technology, electronic health records and their financial impact: Health information exchange technology on the front lines of healthcare: Workflow factors and patterns of use. Journal of the American Medical Informatics Association: JAMIA, 19(3), 392.CrossRefPubMedGoogle Scholar
  89. VanLare, J. M., & Conway, P. H. (2012). Value-based purchasing – National programs to move from volume to value. New England Journal of Medicine, 367(4), 292–295.CrossRefPubMedGoogle Scholar
  90. von Lubitz, D., & Wickramasinghe, N. (2006). Networkcentric health care: Outline of entry portal concept. International Journal of Electronic Business Management (IJEBM), 1, 16–28.Google Scholar
  91. Waterson, P. (2014). Health information technology and sociotechnical systems: A progress report on recent developments within the UK National Health Service (NHS). Applied Ergonomics, 45(2), 150–161.CrossRefPubMedGoogle Scholar
  92. Weill, P., & Broadbent, M. (1998). Leveraging the new infrastructure: How market leaders capitalize on information technology. Boston: Harvard Business School Press.Google Scholar
  93. Weill, P., & Ross, J. W. (2004). IT governance: How top performers manage IT decision rights for superior results. Boston: Harvard Business Press.Google Scholar
  94. Weill, P., & Woerner, S. L. (2013). Optimising your digital business model. MIT Sloan Management Review, 54(3), 71.Google Scholar
  95. Westbrook, J., Braithwaite, J., Georgiou, A., Ampt, A., Creswick, N., Coiera, E., & Iedema, R. (2007). Multimethod evaluation of information and communication technologies in health in the context of wicked problems and sociotechnical theory. Journal of the American Medical Informatics Association, 14(6), 746–755.CrossRefPubMedPubMedCentralGoogle Scholar
  96. Wickramasinghe, N. (2007). Fostering knowledge assets in health care with the KMI model. International Journal of Management and Enterprise Development (IJMED), 4(1), 52–65.CrossRefGoogle Scholar
  97. Wickramasinghe, N., Geisler, E., & Schaffer, J. (2006). Realising the value proposition for healthcare by incorporating KM strategies and data mining techniques with the use of information and communication technologies.(knowledge management systems) (Author abstract). International Journal of Healthcare Technology and Management, 7(5), 303.CrossRefGoogle Scholar
  98. Wickramasinghe, N., Haddad, P., & Vaughan, S. (2016). Using actor network theory and agency theory to identify critical factors in the adoption and implementation of a chemotherapy ordering system: A case study from the Australian Private Health-Care Sector. In Contemporary consumer health informatics (pp. 443–460). Cham: Springer.CrossRefGoogle Scholar
  99. Wickramasinghe, N., & Schaffer, J. L. (2010). Realizing value driven e-health solutions. Improving healthcare series. Washington, DC: IBM Center for the Business of Government.Google Scholar
  100. Williams, M. D., Rana, N. P., Dwivedi, Y. K., & Lal, B. (2011). Is UTAUT really used or just cited for the sake of it? A systematic review of citations of UTAUT’s originating article. Paper presented at the ECIS.Google Scholar
  101. Wilson, H., Gole, J., Mishra, B., & Mishra, J. (2016). Value based healthcare. Advances in Management, 9(1), 1.Google Scholar
  102. Wirtz, B. W., Mory, L., & Ullrich, S. (2012). eHealth in the public sector: An empirical analysis of the acceptance of Germany’s electronic health card. Public Administration, 90(3), 642–663.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Peter Haddad
    • 1
  • Jonathan L. Schaffer
    • 1
    • 2
  • Nilmini Wickramasinghe
    • 1
    • 3
  1. 1.Deakin UniversityBurwoodAustralia
  2. 2.Cleveland ClinicClevelandUSA
  3. 3.Epworth HealthCareRichmondAustralia

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