Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas
Abstract
:1. Introduction
- new technologies (specifically IT) for healthcare sustainability, from different perspectives
- qualitative measures of sustainability for healthcare organizations, related to the introduction of IT (the novel HCC-MOTES framework)
- systems management for sustainability in healthcare organizations, in relation to the different but interconnected areas, affected by the introduction of IT.
2. Healthcare System Overview and Performance Indicators
3. IT in Healthcare: Network Infrastructure Benefits, Interrelations between Providers and Costs for the Consumers
4. A Novel Set of Metrics for IT Sustainability in Healthcare—The HHC-MOTES Framework
- Organizational efficiency (length of stay at the hospital and bed occupancy)
- Financial effectiveness (financial measures for healthcare organization)
- Inter-operational synergies (possibilities to share data among different healthcare actors)
- Modifiability/Changeability (the ability to make changes quickly and at little additional cost)
- Reusability (the level at which system components may be reusable for other systems)
- Portability (the system can operate in a variety of computing environments)
- Supportability (easy system configurability and linearity for subsequent maintenance)
- Performances (response time to user’s requests)
- Reliability (ability of a system to function as expected at a given time)
- Usability (features that make the system easy and friendly to use)
- Accessibility (ability of the system to serve people regardless of location, experience, background, or the type of information technology used)
- Efficiency (the overhead of production processes on the income value perceived by the customer)
- Monitoring of population health status
- Reduce costs for customers
- Patient satisfaction (with healthcare service, including satisfaction with physicians, waiting time, treatment and so on)
- Patient complaints (collection, processing, analysis and availability of data)
- Patient safety (Incidents/errors occurred in healthcare treatment process, including medication errors, diagnosis and treatment errors and so on)
- Average Waiting/Delay (the time required to recognize a pathology and/or to provide the necessary medical treatment
- Employee satisfaction (with healthcare organization, with job, colleagues, supervisors and so on)
- Teamwork and multidisciplinary collaboration
- Overall work conditions
- Overall work efficiency versus efforts
- Consumption of energy
- Resources used in medical records (paper medical records, ledgers, rooms and so on)
- Resources used in healthcare activities and training (books, training rooms, paper and so on)
- Resources required to provide support (transportation, physical material and so on)
- Office space utilization and use of shared resources
5. Discussion
6. Managerial and Practical Implications for the Framework
- (1)
- Better understand the current status of IT in the given system and its connections with other areas
- (2)
- Better assess what could (or should) be improved, given specific priorities and aims
7. Conclusions and Future Directions
Conflicts of Interest
References
- Robinson, R. Cost-benefit analysis. BMJ 1993, 307, 924–926. [Google Scholar] [CrossRef] [PubMed]
- Layard, P.R.G. Cost-Benefit Analysis; Cambridge University Press: Cambridge, UK, 1994. [Google Scholar]
- Quah, E.; Haldane, J.B.S. Cost-Benefit Analysis; Routledge: Abingdon, UK, 2007. [Google Scholar]
- Kuhlman, T.; Farrington, J. What is Sustainability? Sustainability 2010, 2, 3436–3448. [Google Scholar] [CrossRef] [Green Version]
- Atkinson, G.; Mourato, S. Cost-Benefit Analysis and The Environment: Recent Developments; The National Academies of Sciences: Washington, DC, USA, 2006. [Google Scholar]
- Karlsson, C. Cost-Benefit Analysis in Healthcare. 2016. Available online: http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8892303&fileOId=8892304 (accessed on 30 July 2018).
- Drucker, P.F. The discipline of innovation. Harv. Bus. Rev. 1985, 63, 67–72. [Google Scholar] [CrossRef] [PubMed]
- Konsynski, B.R. Process innovation: Reengineering work through information technology. MIT Sloan Manag. Rev. 1993, 34, 99. [Google Scholar]
- Baregheh, A.; Rowley, J.; Sambrook, S. Towards a multidisciplinary definition of innovation. Manag. Decis. 2009, 47, 1323–1339. [Google Scholar] [CrossRef]
- Rothwell, R. Industrial innovation: Success, strategy, trends. In The Handbook of Industrial Innovation; Edward Elgar Publishing: Cheltenham, UK, 1995. [Google Scholar]
- Burke, W.W. Organization Change: Theory and Practice; Sage Publications: Thousand Oaks, CA, USA, 2017. [Google Scholar]
- Cavalluzzo, K.S.; Ittner, C.D. Implementing performance measurement innovations: Evidence from government. Account. Organ. Soc. 2004, 29, 243–267. [Google Scholar] [CrossRef]
- Chan, F.T.; Qi, H.J. An innovative performance measurement method for supply chain management. Supply Chain Manag. Int. J. 2003, 8, 209–223. [Google Scholar] [CrossRef]
- Ittner, C.D.; Larcker, D.F. Innovations in performance measurement: Trends and research implications. J. Manag. Account. Res. 1998, 10, 205. [Google Scholar]
- Kaplan, R.S.; Norton, D.P. Transforming the balanced scorecard from performance measurement to strategic management: Part I. Account. Horiz. 2001, 15, 87–104. [Google Scholar] [CrossRef]
- Boons, F.; Lüdeke-Freund, F. Business models for sustainable innovation: State-of-the-art and steps towards a research agenda. J. Clean. Prod. 2013, 45, 9–19. [Google Scholar] [CrossRef]
- Barile, S.; Saviano, M.; Iandolo, F. L’innovazione tra creatività e sostenibilità. In Immaginare L’innovazione; Giappichelli: Torino, Italy, 2012; ISBN 9788834838747. [Google Scholar]
- Ashford, N.A.; Hall, R.P. The importance of regulation-induced innovation for sustainable development. Sustainability 2011, 3, 270–292. [Google Scholar] [CrossRef]
- Schilling, M.A. Strategic Management of Technological Innovation; Tata McGraw-Hill Education: New York, NY, USA, 2010. [Google Scholar]
- Von Hippel, E. The sources of innovation. In Das Summa Summarum des Management; Springer: Berlin, Germany, 2007; pp. 111–120. [Google Scholar]
- Yam, R.C.; Lo, W.; Tang, E.P.; Lau, A.K. Analysis of sources of innovation, technological innovation capabilities, and performance: An empirical study of Hong Kong manufacturing industries. Res. Policy 2011, 40, 391–402. [Google Scholar] [CrossRef]
- Venkatesh, V.; Morris, M.G.; Davis, G.B.; Davis, F.D. User acceptance of information technology: Toward a unified view. MIS Q. 2003, 27, 425–478. [Google Scholar] [CrossRef]
- Bocij, P.; Greasley, A.; Hickie, S. Business Information Systems: Technology, Development and Management; Pearson Education: London, UK, 2008. [Google Scholar]
- Gunasekaran, A.; Ngai, E.W. Information systems in supply chain integration and management. Eur. J. Oper. Res. 2004, 159, 269–295. [Google Scholar] [CrossRef]
- Hamelink, C.J. New Information and Communication Technologies, Social Development and Cultural Change; United Nations Research Institute for Social Development Geneva: Geneva, Switzerland, 1997; Volume 86. [Google Scholar]
- Fichman, R.G. Going beyond the dominant paradigm for information technology innovation research: Emerging concepts and methods. J. Assoc. Inf. Syst. 2004, 5, 11. [Google Scholar] [CrossRef]
- Land, F. The Social Study of Information and Communication Technology: Innovation, Actors, and Contexts; Oxford University Press: Oxford, UK, 2004. [Google Scholar]
- Davenport, T.H.; Short, J.E. The new industrial engineering: Information technology and business process redesign. MIT Sloan Manag. Rev. 1990, 31, 11. [Google Scholar]
- Attaran, M. Exploring the relationship between information technology and business process reengineering. Inf. Manag. 2004, 41, 585–596. [Google Scholar] [CrossRef]
- Erek, K.; Schmidt, N.-H.; Zarnekow, R.; Kolbe, L.M. Sustainability in information systems: Assortment of current practices in IS organizations. In Proceedings of the AMCIS 2009, San Francisco, CA, USA, 6–9 August 2009; p. 123. [Google Scholar]
- Bengtsson, F.; Ågerfalk, P.J. Information technology as a change actant in sustainability innovation: Insights from Uppsala. J. Strateg. Inf. Syst. 2011, 20, 96–112. [Google Scholar] [CrossRef]
- Chen, A.J.; Boudreau, M.-C.; Watson, R.T. Information systems and ecological sustainability. J. Syst. Inf. Technol. 2008, 10, 186–201. [Google Scholar] [CrossRef]
- Melville, N.P. Information systems innovation for environmental sustainability. MIS Q. 2010, 34, 1–21. [Google Scholar] [CrossRef]
- Hilty, L.M.; Aebischer, B. Ict for sustainability: An emerging research field. In ICT Innovations for Sustainability; Springer: Berlin, Germany, 2015; pp. 3–36. [Google Scholar]
- Powell, T.C.; Dent-Micallef, A. Information technology as competitive advantage: The role of human, business, and technology resources. Strateg. Manag. J. 1997, 18, 375–405. [Google Scholar] [CrossRef]
- Stewart, T.; Ruckdeschel, C. Intellectual Capital: The New Wealth of Organizations; Wiley Online Library: Hoboken, NJ, USA, 1998. [Google Scholar]
- Iqbal, N.; Nadeem, W.; Zaheer, A. Impact of BPR critical success factors on inter-organizational functions: An empirical study. Bus. Manag. Rev. 2015, 6, 152. [Google Scholar]
- Dave, B. Business process management–a construction case study. Constr. Innov. 2017, 17, 50–67. [Google Scholar] [CrossRef]
- Wang, P. Whatever Happened to Business Process Reengineering? The Rise, Fall, and Possible Revival of Business Process Reengineering from the Organizing Vision Perspective. In Business Process Transformation; Routledge: Abingdon, UK, 2015; pp. 39–56. [Google Scholar]
- Serban, A.I. Managing Transformation: Business Process Reengineering or Total Quality Management. Int. J. Acad. Res. Bus. Soc. Sci. 2015, 5, 81–86. [Google Scholar] [CrossRef]
- Kim, K.K.; Michelman, J.E. An examination of factors for the strategic use of information systems in the healthcare industry. MIS Q. 1990, 14, 201–215. [Google Scholar] [CrossRef]
- Global Reporting Initiative. Sustainability Reporting Guidelines on Economic, Environmental and Social Performance; Global Reporting Initiative: Amsterdam, The Netherlands, 2000. [Google Scholar]
- Finkbeiner, M.; Schau, E.M.; Lehmann, A.; Traverso, M. Towards Life Cycle Sustainability Assessment. Sustainability 2010, 2, 3309–3322. [Google Scholar] [CrossRef]
- Mehta, N.; Ni, J.; Srinivasan, K.; Sun, B. A Dynamic Model of Health Insurance Choices and Healthcare Consumption Decisions. Mark. Sci. 2017, 36, 338–360. [Google Scholar] [CrossRef]
- Pekerti, A.; Vuong, Q.-H.; Ho, T.M.; Vuong, T.-T. Health Care Payments in Vietnam: Patients’ Quagmire of Caring for Health versus Economic Destitution. Int. J. Environ. Res. Public. Health 2017, 14, 1118. [Google Scholar] [CrossRef] [PubMed]
- Nuti, S. Il Sistema di Valutazione della Performance in Sanità; Il Mulino: Bologna, Italy, 2008; ISBN 978-88-15-12427-2. [Google Scholar]
- Nielsen, J.; Molich, R. Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Washington, DC, USA, 1–5 April 1990; Association for Computing Machinery: New York, NY, USA, 1990; pp. 249–256. [Google Scholar] [Green Version]
- Sørensen, K.; Van den Broucke, S.; Fullam, J.; Doyle, G.; Pelikan, J.; Slonska, Z.; Brand, H. Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health 2012, 12, 80. [Google Scholar] [CrossRef] [PubMed]
- Starfield, B. Is primary care essential? Lancet 1994, 344, 1129–1133. [Google Scholar] [CrossRef]
- Wendt, C.; Frisina, L.; Rothgang, H. Healthcare system types: A conceptual framework for comparison. Soc. Policy Adm. 2009, 43, 70–90. [Google Scholar] [CrossRef]
- Lorenzoni, L.; Belloni, A.; Sassi, F. Health-care expenditure and health policy in the USA versus other high-spending OECD countries. Lancet 2014, 384, 83–92. [Google Scholar] [CrossRef]
- Unger, F. Health is wealth: Considerations to European healthcare. Prilozi 2012, 33, 9–14. [Google Scholar] [PubMed]
- Mossialos, E.; Wenzl, M.; Osborn, R.; Sarnak, D. 2015 International Profiles of Health Care Systems; Canadian Agency for Drugs and Technologies in Health: Ottawa, ON, Canada, 2016. [Google Scholar]
- Curto, V.; Einav, L.; Finkelstein, A.; Levin, J.D.; Bhattacharya, J. Healthcare Spending and Utilization in Public and Private Medicare; National Bureau of Economic Research: Cambridge, MA, USA, 2017. [Google Scholar]
- Dexheimer Neto, F.L.; Rosa, R.G.; Duso, B.A.; Haas, J.S.; Savi, A.; Cabral, C.D.R.; Maccari, J.G.; de Oliveira, R.P.; Antônio, A.C.P.; Castro, P.D.S.; et al. Public versus private healthcare systems following discharge from the ICU: A propensity score-matched comparison of outcomes. BioMed Res. Int. 2016, 2016, 6568531. [Google Scholar] [CrossRef] [PubMed]
- Uyar, A.; Neyis, A. Does the healthcare industry report quality costs? Comparative investigations of public and private hospitals. Total Qual. Manag. Bus. Excell. 2015, 26, 733–745. [Google Scholar] [CrossRef]
- Magee, H.; Davis, L.-J.; Coulter, A. Public views on healthcare performance indicators and patient choice. J. R. Soc. Med. 2003, 96, 338–342. [Google Scholar] [CrossRef] [PubMed]
- Bonbright, J.C.; Danielsen, A.L.; Kamerschen, D.R. Principles of Public Utility Rates; Columbia University Press: New York, NY, USA, 1961. [Google Scholar]
- Porter, M.E.; Kramer, M.R. Creating Shared Value. In Managing Sustainable Business; Springer: Dordrecht, The Netherlands, 2019; pp. 327–350. ISBN 978-94-024-1142-3. [Google Scholar]
- De Raeve, P.; Gomez, S.; Hughes, P.; Lyngholm, T.; Sipilä, M.; Kilanska, D.; Hussey, P.; Xyrichis, A.; ENS4Care project. Enhancing the provision of health and social care in Europe through eH ealth. Int. Nurs. Rev. 2017, 64, 33–41. [Google Scholar] [CrossRef] [PubMed]
- Sieck, C.J.; McAlearney, A.S. Integrated care and eHealth tools in the US and Europe: Editorial response to “eHealth in integrated care programs for people with multimorbidity in Europe: Insights from the ICARE4EU project”. J. Hosp. Manag. Health Policy 2018. [Google Scholar] [CrossRef]
- Ben-Assuli, O. Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments. Health Policy 2015, 119, 287–297. [Google Scholar] [CrossRef] [PubMed]
- Hoffman, S.; Podgurski, A. Finding a cure: The case for regulation and oversight of electric health record systems. Harv. JL Tech. 2008, 22, 103. [Google Scholar]
- Dahlgaard, J.J.; Pettersen, J.; Dahlgaard-Park, S.M. Quality and lean health care: A system for assessing and improving the health of healthcare organisations. Total Qual. Manag. Bus. Excell. 2011, 22, 673–689. [Google Scholar] [CrossRef]
- Shohet, I.M. Key performance indicators for strategic healthcare facilities maintenance. J. Constr. Eng. Manag. 2006, 132, 345–352. [Google Scholar] [CrossRef]
- Sheikh, A.; Sood, H.S.; Bates, D.W. Leveraging health information technology to achieve the “triple aim” of healthcare reform. J. Am. Med. Inform. Assoc. 2015, 22, 849–856. [Google Scholar] [CrossRef] [PubMed]
- Cinquini, L.; Nuti, S.; Boccaccio, A.; Vainieri, M. Il confronto di performance economico-finanziarie tra aziende sanitarie: L’esperienza della Regione Toscana. Mecosan 14 2005, 54, 109–130. [Google Scholar]
- Nuti, S. Il Sistema di Valutazione Della Performance Della Sanità Toscana—Report 2009; Edizioni ETS: Pisa, Italy, 2010. [Google Scholar]
- Murante, A.M.; Panero, C.; Nuti, S. L’esperienza dei cittadini del servizio di medicina generale: Come la comunicazione influenza la relazione medico-paziente. Quattro regioni a confronto. In VIII Congresso Nazionale CARD; Sant’Anna School of Advanced Studies: Pisa, Italy, 2010; pp. 16–18. [Google Scholar]
- Blumenthal, D. Stimulating the adoption of health information technology. N. Engl. J. Med. 2009, 360, 1477–1479. [Google Scholar] [CrossRef] [PubMed]
- Anyanwu, K.; Sheth, A.; Cardoso, J.; Miller, J.; Kochut, K. Healthcare enterprise process development and integration. J. Res. Pract. Inf. Technol. 2003, 35, 83. [Google Scholar]
- Lenz, R.; Reichert, M. IT support for healthcare processes—Premises, challenges, perspectives. Data Knowl. Eng. 2007, 61, 39–58. [Google Scholar] [CrossRef]
- Doorslaer, E.V.; Wagstaff, A.; Rutten, F. Equity in the Finance and Delivery of Health Care: An International Perspective; Oxford University Press: Oxford, UK, 1992. [Google Scholar]
- La Rosa-Salas, V.; Tricas-Sauras, S. Equity in health care. Cuad. Bioet. 2008, 19, 355–368. [Google Scholar] [PubMed]
- Katz, M.L.; Shapiro, C. Network externalities, competition, and compatibility. Am. Econ. Rev. 1985, 75, 424–440. [Google Scholar]
- Chetley, A.; Davies, J.; Trude, B.; McConnell, H.; Ramirez, R. Improving Health Connecting People: The Role of ICTs in the Health Sector of Developing Countries. 2006. Available online: https://www.popline.org/node/185203 (accessed on 10 May 2018).
- Hoque, M.R.; Bao, Y.; Sorwar, G. Investigating factors influencing the adoption of e-Health in developing countries: A patient’s perspective. Inform. Health Soc. Care 2017, 42, 1–17. [Google Scholar] [CrossRef] [PubMed]
- Lloyd, J.; Wait, S. Integrated Care: A Guide for Policymakers. 2006. Available online: https://www.popline.org/node/175307 (accessed on 18 May 2018).
- Payne, T.H.; Corley, S.; Cullen, T.A.; Gandhi, T.K.; Harrington, L.; Kuperman, G.J.; Mattison, J.E.; McCallie, D.P.; McDonald, C.J.; Tang, P.C. Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs. J. Am. Med. Inform. Assoc. 2015, 22, 1102–1110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Acerete, B.; Stafford, A.; Stapleton, P. Spanish healthcare public private partnerships: The ‘Alzira model’. Crit. Perspect. Account. 2011, 22, 533–549. [Google Scholar] [CrossRef]
- Shukla, R.; Shatrugna, V.; Srivatsan, R. Aarogyasri healthcare model: Advantage private sector. Econ. Political Wkly. 2011, 46, 38–42. [Google Scholar]
- Muhsin, B.; Sampath, A.; Gruber, T. Systems and Methods for Storing, Analyzing, Retrieving and Displaying Streaming Medical Data. U.S. Patent 9,142,117, 22 September 2015. [Google Scholar]
- Zhang, Y.; Qiu, M.; Tsai, C.-W.; Hassan, M.M.; Alamri, A. Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Syst. J. 2017, 11, 88–95. [Google Scholar] [CrossRef]
- Agha, L. The effects of health information technology on the costs and quality of medical care. J. Health Econ. 2014, 34, 19–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jones, S.S.; Rudin, R.S.; Perry, T.; Shekelle, P.G. Health information technology: An updated systematic review with a focus on meaningful use. Ann. Intern. Med. 2014, 160, 48–54. [Google Scholar] [CrossRef] [PubMed]
- Hillestad, R.; Bigelow, J.; Bower, A.; Girosi, F.; Meili, R.; Scoville, R.; Taylor, R. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff. (Millwood) 2005, 24, 1103–1117. [Google Scholar] [CrossRef] [PubMed]
- Ruxwana, N.L.; Herselman, M.E.; Conradie, D.P. ICT Applications as E-Health Solutions in Rural Healthcare in the Eastern Cape Province of South Africa, ICT Applications as E-Health Solutions in Rural Healthcare in the Eastern Cape Province of South Africa. Health Inf. Manag. J. 2010, 39, 17–29. [Google Scholar] [CrossRef]
- Ariani, A.; Koesoema, A.P.; Soegijoko, S. Innovative Healthcare Applications of ICT for Developing Countries. In Innovative Healthcare Systems for the 21st Century; Understanding Complex Systems; Springer: Cham, Switzerland, 2017; pp. 15–70. ISBN 978-3-319-55773-1. [Google Scholar]
- Chaudhry, B.; Wang, J.; Wu, S.; Maglione, M.; Mojica, W.; Roth, E.; Morton, S.C.; Shekelle, P.G. Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Ann. Intern. Med. 2006, 144, 742–752. [Google Scholar] [CrossRef] [PubMed]
- Sun, X.; Chen, Y.; Tong, X.; Feng, Z.; Wei, L.; Zhou, D.; Tian, M.; Lv, B.; Feng, D. The use of annual physical examinations among the elderly in rural China: A cross-sectional study. BMC Health Serv. Res. 2014, 14, 16. [Google Scholar] [CrossRef] [PubMed]
- Yeo, J.-Y.; Jeong, H.-S. Determinants of health screening and its effects on health behaviors. Health Policy Manag. 2012, 22, 49–64. [Google Scholar] [CrossRef] [Green Version]
- Wong, H.Z.; Lim, W.-Y.; Ma, S.S.; Chua, L.A.; Heng, D.M. Health Screening Behaviour among Singaporeans. Ann. Acad. Med. 2015, 44, 326–334. [Google Scholar]
- Vuong, Q.-H.; Ho, T.-M.; Nguyen, H.-K.; Vuong, T.-T. Healthcare consumers’ sensitivity to costs: A reflection on behavioural economics from an emerging market. Palgrave Commun. 2018, 4, 70. [Google Scholar] [CrossRef]
- Akin, J.; Birdsall, N.; de Ferranti, D. Financing Health Services in Developing Countries: An Agenda for Reform; The World Bank: Washington, DC, USA, 1986. [Google Scholar]
- Whitehead, M.; Dahlgren, G.; Evans, T. Equity and health sector reforms: Can low-income countries escape the medical poverty trap? Lancet 2001, 358, 833–836. [Google Scholar] [CrossRef]
- Cassels, A. Health sector reform: Key issues in less developed countries. J. Int. Dev. 1995, 7, 329–347. [Google Scholar] [CrossRef] [PubMed]
- Lucas, H. Information and communications technology for future health systems in developing countries. Soc. Sci. Med. 2008, 66, 2122–2132. [Google Scholar] [CrossRef] [PubMed]
- Blaya, J.A.; Fraser, H.S.F.; Holt, B. E-Health Technologies Show Promise in Developing Countries. Health Aff. (Millwood) 2010, 29, 244–251. [Google Scholar] [CrossRef] [PubMed]
- Vuong, Q.-H. The (ir)rational consideration of the cost of science in transition economies. Nat. Hum. Behav. 2018, 2, 5. [Google Scholar] [CrossRef]
- Toor, S.-R.; Ogunlana, S.O. Beyond the ‘iron triangle’: Stakeholder perception of key performance indicators (KPIs) for large-scale public sector development projects. Int. J. Proj. Manag. 2010, 28, 228–236. [Google Scholar] [CrossRef]
- Dewett, T.; Jones, G.R. The role of information technology in the organization: A review, model, and assessment. J. Manag. 2001, 27, 313–346. [Google Scholar] [CrossRef]
- Melville, N.; Kraemer, K.; Gurbaxani, V. Information technology and organizational performance: An integrative model of IT business value. MIS Q. 2004, 28, 283–322. [Google Scholar] [CrossRef]
- Bass, L.; Clements, P.; Kazman, R. Software Architecture in Practice; Addison-Wesley Professional: Boston, MA, USA, 2003. [Google Scholar]
- Albertao, F.; Xiao, J.; Tian, C.; Lu, Y.; Zhang, K.Q.; Liu, C. Measuring the sustainability performance of software projects. In Proceedings of the 2010 IEEE 7th International Conference on e-Business Engineering (ICEBE), Shanghai, China, 10–12 November 2010; IEEE: Piscataway, NJ, USA, 2010; pp. 369–373. [Google Scholar]
- Si, S.-L.; You, X.-Y.; Liu, H.-C.; Huang, J. Identifying key performance indicators for holistic hospital management with a modified DEMATEL approach. Int. J. Environ. Res. Public Health 2017, 14, 934. [Google Scholar] [CrossRef] [PubMed]
- Wen, C.L. Telemedicine, eHealth and Remote Care Systems. In Global Health Informatics; Elsevier: New York, NY, USA, 2017; pp. 168–194. [Google Scholar]
- Ozcan, Y.A.; Luke, R.D.; Haksever, C. Ownership and Organizational Performance: A Comparison of Technical Efficiency across Hospital Types. Med. Care 1992, 30, 781–794. [Google Scholar] [CrossRef] [PubMed]
- Hussey, P.S.; de Vries, H.; Romley, J.; Wang, M.C.; Chen, S.S.; Shekelle, P.G.; McGlynn, E.A. A Systematic Review of Health Care Efficiency Measures. Health Serv. Res. 2009, 44, 784–805. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wu, S.P.-J.; Straub, D.W.; Liang, T.-P. How information technology governance mechanisms and strategic alignment influence organizational performance: Insights from a matched survey of business and IT managers. Mis Q. 2015, 39, 497–518. [Google Scholar] [CrossRef]
- Hedley, T.P. Measuring public sector effectiveness using private sector methods. Public Product. Manag. Rev. 1998, 21, 251–258. [Google Scholar] [CrossRef]
- Gapenski, L.C.; Pink, G.H. Understanding Healthcare Financial Management; Health Administration Press: Chicago, IL, USA, 2007. [Google Scholar]
- Karam, M.; Brault, I.; Van Durme, T.; Macq, J. Comparing interprofessional and interorganizational collaboration in healthcare: A systematic review of the qualitative research. Int. J. Nurs. Stud. 2018, 79, 70–83. [Google Scholar] [CrossRef] [PubMed]
- Svensson, A.; Larsson, L.; Hansson, A. IT Systems for Collaboration in Healthcare for Frail Elderly People. In Proceedings of the European Conference on Knowledge Management, Coleraine, UK, 1–2 September 2016; p. 859. [Google Scholar]
- Radhakrishna, K.; Goud, B.R.; Kasthuri, A.; Waghmare, A.; Raj, T. Electronic health records and information portability: A pilot study in a rural primary healthcare center in India. Perspect. Health Inf. Manag. 2014, 11, 1b. [Google Scholar] [PubMed]
- Kushniruk, A.W.; Borycki, E.M.; Kuwata, S.; Kannry, J. Emerging approaches to usability evaluation of health information systems: Towards in-situ analysis of complex healthcare systems and environments. Stud. Health Technol. Inform. 2011, 169, 915–919. [Google Scholar] [PubMed]
- Sarnikar, S.; Murphy, M. A Usability Analysis Framework for Healthcare Information Technology. Int. J. Technol. Diffus. IJTD 2012, 3, 20–28. [Google Scholar] [CrossRef]
- Marschollek, M.; Mix, S.; Wolf, K.-H.; Effertz, B.; Haux, R.; Steinhagen-Thiessen, E. ICT-based health information services for elderly people: Past experiences, current trends, and future strategies. Med. Inform. Internet Med. 2007, 32, 251–261. [Google Scholar] [CrossRef] [PubMed]
- Kari, H.K. Availability and accessibility of ICT in the rural communities of Nigeria. Electron. Libr. 2007, 25, 363–372. [Google Scholar] [CrossRef]
- McNulty, T.; Ferlie, E. Process transformation: Limitations to radical organizational change within public service organizations. Organ. Stud. 2004, 25, 1389–1412. [Google Scholar] [CrossRef]
- Buccoliero, L.; Bellio, E.; Mazzola, M.; Solinas, E. Technology innovation in healthcare and changing patient’s behaviors: New challenges for marketing. Mercati E Compet. 2016, 1, 45–70. [Google Scholar] [CrossRef]
- Raghupathi, W.; Raghupathi, V. Big data analytics in healthcare: Promise and potential. Health Inf. Sci. Syst. 2014, 2, 3. [Google Scholar] [CrossRef] [PubMed]
- Limbu, Y.B.; Jayachandran, C.; Babin, B.J. Does information and communication technology improve job satisfaction? The moderating role of sales technology orientation. Ind. Mark. Manag. 2014, 43, 1236–1245. [Google Scholar] [CrossRef]
- Chumg, H.-F.; Cooke, L.; Fry, J.; Hung, I.-H. Factors affecting knowledge sharing in the virtual organisation: Employees’ sense of well-being as a mediating effect. Comput. Hum. Behav. 2015, 44, 70–80. [Google Scholar] [CrossRef] [Green Version]
- Tarutė, A.; Gatautis, R. ICT impact on SMEs performance. Procedia-Soc. Behav. Sci. 2014, 110, 1218–1225. [Google Scholar] [CrossRef]
- Olaniran, B.A. ICTs, E-health, and Multidisciplinary Healthcare Teams: Promises and Challenges. Int. J. Priv. Health Inf. Manag. IJPHIM 2016, 4, 62–75. [Google Scholar] [CrossRef]
- Garrido, T.; Jamieson, L.; Zhou, Y.; Wiesenthal, A.; Liang, L. Effect of electronic health records in ambulatory care: Retrospective, serial, cross sectional study. BMJ 2005, 330, 581. [Google Scholar] [CrossRef] [PubMed]
- Turley, M.; Porter, C.; Garrido, T.; Gerwig, K.; Young, S.; Radler, L.; Shaber, R. Use of Electronic Health Records Can Improve the Health Care Industry’s Environmental Footprint. Health Aff. (Millwood) 2011, 30, 938–946. [Google Scholar] [CrossRef] [PubMed]
- Hoang, D.B.; Chen, L. Mobile Cloud for Assistive Healthcare (MoCAsH). In Proceedings of the 2010 IEEE Asia-Pacific Services Computing Conference, Hangzhou, China, 6–10 December 2010; pp. 325–332. [Google Scholar]
- Sultan, N. Making use of cloud computing for healthcare provision: Opportunities and challenges. Int. J. Inf. Manag. 2014, 34, 177–184. [Google Scholar] [CrossRef]
- Remondino, M. Analisi strategica del modello cloud, inteso come possibile innovazione di servizio e di processo per le imprese. Impresa Progetto-Electron. J. Manag. 2013, 2. Available online: https://www.impresaprogetto.it/sites/impresaprogetto.it/files/articles/2-2013_wp_remondino.pdf (accessed on 30 July 2018).
- Eichler, H.-G.; Kong, S.X.; Gerth, W.C.; Mavros, P.; Jönsson, B. Use of cost-effectiveness analysis in health-care resource allocation decision-making: How are cost-effectiveness thresholds expected to emerge? Value Health 2004, 7, 518–528. [Google Scholar] [CrossRef] [PubMed]
- Shapira, Z. Organizational Decision Making; Cambridge University Press: Cambridge, UK, 2002. [Google Scholar]
- Walshe, K.; Rundall, T.G. Evidence-based management: From theory to practice in health care. Milbank Q. 2001, 79, 429–457. [Google Scholar] [CrossRef] [PubMed]
- Ivlev, I.; Kneppo, P.; Barták, M. Method for Selecting Expert Groups and Determining the Importance of Expert’s Judgments for the Purpose of Managerial Decision-Making Tasks in Health System; Technická univerzita v Liberci: Liberec, Czechia, 2015. [Google Scholar]
- Huang, C.D.; Behara, R.S.; Goo, J. Optimal information security investment in a Healthcare Information Exchange: An economic analysis. Decis. Support Syst. 2014, 61, 1–11. [Google Scholar] [CrossRef]
- Bruynseels, K.; Santoni de Sio, F.; van den Hoven, J. Digital twins in health care: Ethical implications of an emerging engineering paradigm. Front. Genet. 2018, 9, 31. [Google Scholar] [CrossRef] [PubMed]
- Tao, F.; Sui, F.; Liu, A.; Qi, Q.; Zhang, M.; Song, B.; Guo, Z.; Lu, S.C.-Y.; Nee, A.Y.C. Digital twin-driven product design framework. Int. J. Prod. Res. 2018. [Google Scholar] [CrossRef]
- Eason, K.D. Information Technology and Organisational Change; CRC Press: Boca Raton, FL, USA, 2014. [Google Scholar]
- Marchewka, J.T. Information Technology Project Management; John Wiley & Sons: Hoboken, NJ, USA, 2014. [Google Scholar]
- Lewis, S. Qualitative inquiry and research design: Choosing among five approaches. Health Promot. Pract. 2015, 16, 473–475. [Google Scholar] [CrossRef]
© 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Remondino, M. Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas. Sustainability 2018, 10, 2721. https://doi.org/10.3390/su10082721
Remondino M. Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas. Sustainability. 2018; 10(8):2721. https://doi.org/10.3390/su10082721
Chicago/Turabian StyleRemondino, Marco. 2018. "Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas" Sustainability 10, no. 8: 2721. https://doi.org/10.3390/su10082721
APA StyleRemondino, M. (2018). Information Technology in Healthcare: HHC-MOTES, a Novel Set of Metrics to Analyse IT Sustainability in Different Areas. Sustainability, 10(8), 2721. https://doi.org/10.3390/su10082721