| Sonstiges: |
- Nachgewiesen in: MEDLINE
- Sprachen: English
- Publication Type: Systematic Review; Journal Article
- Language: English
- [J Health Organ Manag] 2024 Mar 29; Vol. ahead-of-print (ahead-of-print).
- MeSH Terms: Artificial Intelligence* ; Delivery of Health Care* ; Intelligence
- References: Abai, N.H.Z., Yahaya, J.H. and Deraman, A. (2013), “User requirement analysis in data warehouse design: a review”, Procedia Technology, Vol. 11, pp. 801-806, doi: 10.1016/j.protcy.2013.12.261. ; Abedin, B., Jafarzadeh, H. and Olszak, C.M. (2021), “Thirty six years of information systems management: a bibliometric and thematic analysis”, Information Systems Management, Vol. 38 No. 2, pp. 151-164, doi: 10.1080/10580530.2020.1781987. ; Ain, N., Vaia, G., DeLone, W.H. and Waheed, M. (2019), “Two decades of research on business intelligence system adoption, utilization and success-A systematic literature review”, Decision Support Systems, Vol. 125, 113113, doi: 10.1016/j.dss.2019.113113. ; Ali, I., Balta, M. and Papadopoulos, T. (2022), “Social media platforms and social enterprise: bibliometric analysis and systematic review”, International Journal of Information Management, Vol. 69, 102510, doi: 10.1016/j.ijinfomgt.2022.102510. ; Arefin, M.S., Hoque, M.R. and Rasul, T. (2020), “Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy”, Journal of Knowledge Management, Vol. 25 No. 3, pp. 573-594, doi: 10.1108/jkm-09-2019-0517. ; Arnaboldi, M., Robbiani, A. and Carlucci, P. (2020), “On the relevance of self-service business intelligence to university management”, Journal of Accounting and Organizational Change, Vol. 17 No. 1, pp. 5-22, doi: 10.1108/jaoc-09-2020-0131. ; Azevedo, J., Duarte, J. and Santos, M.F. (2022), “Implementing a business intelligence cost accounting solution in a healthcare setting”, Procedia Computer Science, Vol. 198, pp. 329-334, doi: 10.1016/j.procs.2021.12.249. ; Bai, L., Meredith, R. and Burstein, F. (2018), “A data quality framework, method and tools for managing data quality in a health care setting: an action case study”, Journal of Decision Systems, Vol. 27 No. sup1, pp. 144-154, doi: 10.1080/12460125.2018.1460161. ; Balta, M., Valsecchi, R., Papadopoulos, T. and Bourne, D.J. (2021), “Digitalization and co-creation of healthcare value: a case study in Occupational Health”, Technological Forecasting and Social Change, Vol. 168, 120785, doi: 10.1016/j.techfore.2021.120785. ; Basile, L.J., Carbonara, N., Pellegrino, R. and Panniello, U. (2023), “Business intelligence in the healthcare industry: the utilization of a data-driven approach to support clinical decision making”, Technovation, Vol. 120, 102482, doi: 10.1016/j.technovation.2022.102482. ; Bergeron, B.P. (2017), Performance Management in Healthcare: From Key Performance Indicators to Balanced Scorecard, Productivity Press, New York. ; Berndt, D.J., Hevner, A.R. and Studnicki, J. (2003), “The Catch data warehouse: support for community health care decision-making”, Decision Support Systems, Vol. 35 No. 3, pp. 367-384, doi: 10.1016/s0167-9236(02)00114-8. ; Bittencourt, O., Verter, V. and Yalovsky, M. (2017), “Daily capacity management for hospitals: a Brazilian case study”, International Journal of Services and Operations Management, Vol. 27 No. 1, pp. 102-121, doi: 10.1504/ijsom.2017.083342. ; Bréant, C., Succi, L., Cotten, M., Grimaud, S., Iavindrasana, J., Kindstrand, F.M. and Rorive-Feytmans, B. (2020), “Tools to measure, monitor, and analyze the performance of the Geneva university hospitals (HUG)”, Supply Chain Forum: An International Journal, Vol. 21 No. 2, pp. 117-131, doi: 10.1080/16258312.2020.1780634. ; Brooks, P., El-Gayar, O. and Sarnikar, S. (2015), “A framework for developing a domain specific business intelligence maturity model: application to healthcare”, International Journal of Information Management, Vol. 35 No. 3, pp. 337-345, doi: 10.1016/j.ijinfomgt.2015.01.011. ; Buttigieg, S.C., Pace, A. and Rathert, C. (2017), “Hospital performance dashboards: a literature review”, Journal of Health Organization and Management, Vol. 31 No. 3, pp. 385-406, doi: 10.1108/jhom-04-2017-0088. ; Caputo, A., Marzi, G., Maley, J. and Silic, M. (2018), “Ten years of conflict management research 2007-2017: an update on themes, concepts and relationships”, International Journal of Conflict Management, Vol. 30 No. 1, pp. 87-110, doi: 10.1108/ijcma-06-2018-0078. ; Caputo, A., Pizzi, S., Pellegrini, M.M. and Dabić, M. (2021), “Digitalization and business models: where are we going? A science map of the field”, Journal of Business Research, Vol. 123, pp. 489-501, doi: 10.1016/j.jbusres.2020.09.053. ; Carroll, S.J. and Gillen, D.J. (1987), “Are the classical management functions useful in describing managerial work?”, The Academy of Management Review, Vol. 12 No. 1, pp. 38-51, doi: 10.5465/amr.1987.4306460. ; Carroll, S.J. and Gillen, D.J. (2019), “Are the classical management functions useful in describing managerial work?”, in Managerial Work, Routledge, pp. 291-304. ; Cavicchi, C., Oppi, C. and Vagnoni, E. (2022), “Back and forth on sustainable development: a focus on healthcare organisations”, Sustainability, Vol. 14 No. 9, p. 4958, doi: 10.3390/su14094958. ; Clark, T.D. Jr, Jones, M.C. and Armstrong, C.P. (2007), “The dynamic structure of management support systems: theory development, research focus, and direction”, Mis Quarterly, Vol. 31 No. 3, pp. 579-615, doi: 10.2307/25148808. ; Cousins, K., Hertelendy, A.J., Chen, M., Durneva, P. and Wang, S. (2023), “Building resilient hospital information technology services through organizational learning: lessons in CIO leadership during an international systemic crisis in the United States and Abu Dhabi, United Arab Emirates”, International Journal of Medical Informatics, Vol. 176, 105113, doi: 10.1016/j.ijmedinf.2023.105113. ; Cripps, M. and Scarbrough, H. (2022), “Making digital health ‘solutions’ sustainable in healthcare systems: a practitioner perspective”, Frontiers in Digital Health, Vol. 4, 727421, doi: 10.3389/fdgth.2022.727421. ; Dowding, D., Randell, R., Gardner, P., Fitzpatrick, G., Dykes, P., Favela, J., Hamer, S., Whitewood-Moores, Z., Hardiker, N., Borycki, E. and Currie, L. (2015), “Dashboards for improving patient care: review of the literature”, International Journal of Medical Informatics, Vol. 84 No. 2, pp. 87-100, doi: 10.1016/j.ijmedinf.2014.10.001. ; Dwivedi, A., Wickramasinghe, N., Bali, R.K. and Naguib, R.N. (2008), “Designing intelligent healthcare organisations with KM and ICT”, International Journal of Knowledge Management Studies, Vol. 2 No. 2, pp. 198-213, doi: 10.1504/ijkms.2008.018321. ; Elo, S. and Kyngäs, H. (2008), “The qualitative content analysis process”, Journal of Advanced Nursing, Vol. 62 No. 1, pp. 107-115, doi: 10.1111/j.1365-2648.2007.04569.x. ; Ferranti, J.M., Langman, M.K., Tanaka, D., McCall, J. and Ahmad, A. (2010), “Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness”, Journal of the American Medical Informatics Association, Vol. 17 No. 2, pp. 136-143, doi: 10.1136/jamia.2009.002220. ; Flachère, I. (2014), “Management accounting tools as mediators of a new organizational construction: a study of the interaction between tools and ‘physician-managers’ in a French public hospital”, in Performance Measurement and Management Control: Behavioral Implications and Human Actions, Emerald Group Publishing. ; Foley, É. and Guillemette, M.G. (2010), “What is business intelligence?”, International Journal of Business Intelligence Research (IJBIR), Vol. 1 No. 4, pp. 1-28, doi: 10.4018/jbir.2010100101. ; Foshay, N. and Kuziemsky, C. (2014), “Towards an implementation framework for business intelligence in healthcare”, International Journal of Information Management, Vol. 34 No. 1, pp. 20-27, doi: 10.1016/j.ijinfomgt.2013.09.003. ; Gaardboe, R., Sandalgaard, N. and Nyvang, T. (2017), “An assessment of business intelligence in public hospitals”, International Journal of Information Systems and Project Management, Vol. 5 No. 4, pp. 5-18, doi: 10.12821/ijispm050401. ; Gastaldi, L. and Corso, M. (2012), “Smart healthcare digitalization: using ICT to effectively balance exploration and exploitation within hospitals”, International Journal of Engineering Business Management, Godište 2012, Vol. 4, pp. 4-9, doi: 10.5772/51643. ; Gastaldi, L., Pietrosi, A., Lessanibahri, S., Paparella, M., Scaccianoce, A., Provenzale, G., Corso, M. and Gridelli, B. (2018), “Measuring the maturity of business intelligence in healthcare: supporting the development of a roadmap toward precision medicine within ISMETT hospital”, Technological Forecasting and Social Change, Vol. 128, pp. 84-103, doi: 10.1016/j.techfore.2017.10.023. ; Ghannouchi, S.A., Mabrouk, K. and Ghannouchi, S. (2010), “Proposal of data warehouse in the context of healthcare process reengineering”, Business Process Management Journal, Vol. 16 No. 4, pp. 688-712, doi: 10.1108/14637151011065964. ; Gjellebæk, C., Svensson, A., Bjørkquist, C., Fladeby, N. and Grundén, K. (2020), “Management challenges for future digitalization of healthcare services”, Futures, Vol. 124, 102636, doi: 10.1016/j.futures.2020.102636. ; Gravili, G., Manta, F., Cristofaro, C.L., Reina, R. and Toma, P. (2020), “Value that matters: intellectual capital and big data to assess performance in healthcare. An empirical analysis on the European context”, Journal of Intellectual Capital, Vol. 22 No. 2, pp. 260-289, doi: 10.1108/jic-02-2020-0067. ; Ibrahim, M.S., Mohamed Yusoff, H., Abu Bakar, Y.I., Thwe Aung, M.M., Abas, M.I. and Ramli, R.A. (2022), “Digital health for quality healthcare: a systematic mapping of review studies”, Digital Health, Vol. 8, doi: 10.1177/20552076221085810. ; Ippolito, A., Sorrentino, M., Capalbo, F. and Di Pietro, A. (2022), “How technological innovations in performance measurement systems overcome management challenges in healthcare”, International Journal of Productivity and Performance Management, Vol. 72 No. 9, pp. 2584-2604, (ahead-of-print), doi: 10.1108/ijppm-11-2021-0664. ; Jukic, B. and Malliaris, M. (2008), “Online analytical processing (OLAP) for decision support”, in Handbook on Decision Support Systems, Springer, Berlin, Heidelberg, Vol. 1, pp. 259-276. ; Karami, M., Safdari, R. and Rahimi, A. (2013), “Effective radiology dashboards: key research findings”, Radiology Management, Vol. 35 No. 2, pp. 42-45. ; Kimball, R. and Ross, M. (2016), The Kimball Group Reader - Relentlessly Practical Tools for Data Warehousing and Business Intelligence, 2nd ed., John Wiley and Sons, Indianapolis. ; Kruse, C.S., Frederick, B., Jacobson, T. and Monticone, D.K. (2017), “Cybersecurity in healthcare: a systematic review of modern threats and trends”, Technology and Health Care, Vol. 25 No. 1, pp. 1-10, doi: 10.3233/thc-161263. ; Kumar, M., Singh, J.B., Chandwani, R. and Gupta, A. (2020), “‘Context’ in healthcare information technology resistance: a systematic review of extant literature and agenda for future research”, International Journal of Information Management, Vol. 51, 102044, doi: 10.1016/j.ijinfomgt.2019.102044. ; Laurenza, E., Quintano, M., Schiavone, F. and Vrontis, D. (2018), “The effect of digital technologies adoption in healthcare industry: a case based analysis”, Business Process Management Journal, Vol. 24 No. 5, pp. 1124-1144, doi: 10.1108/bpmj-04-2017-0084. ; Lepore, D., Dolui, K., Tomashchuk, O., Shim, H., Puri, C., Li, Y., Chen, N. and Spigarelli, F. (2023), “Interdisciplinary research unlocking innovative solutions in healthcare”, Technovation, Vol. 120, 102511, doi: 10.1016/j.technovation.2022.102511. ; Longest, B.B., Jr. and Darr, K.J. (2014), Managing Health Services Organizations and Systems, (MHSOS), Health Professions Press, Baltimore, Maryland. ; Mantzana, V., Themistocleous, M., Irani, Z. and Morabito, V. (2007), “Identifying healthcare actors involved in the adoption of information systems”, European Journal of Information Systems, Vol. 16 No. 1, pp. 91-102, doi: 10.1057/palgrave.ejis.3000660. ; Martin, J., Flynn, M.A., Khurshid, Z., Fitzsimons, J.J., Moore, G. and Crowley, P. (2022), “Board level ‘Picture-Understanding-Action’: a new way of looking at quality”, International Journal of Health Governance, Vol. 27 No. 1, pp. 105-117, doi: 10.1108/ijhg-05-2021-0047. ; Mayo, A.T., Myers, C.G. and Sutcliffe, K.M. (2021), “Organizational science and health care”, Academy of Management Annals, Vol. 15 No. 2, pp. 537-576, doi: 10.5465/annals.2019.0115. ; McGrath, J.E. (1981), “Dilemmatics: the study of research choices and dilemmas”, American Behavioral Scientist, Vol. 25 No. 2, pp. 179-210, doi: 10.1177/000276428102500205. ; McKimm, J., Redvers, N., El Omrani, O., Parkes, M.W., Elf, M. and Woollard, R. (2020), “Education for sustainable healthcare: leadership to get from here to there”, Medical Teacher, Vol. 42 No. 10, pp. 1123-1127, doi: 10.1080/0142159x.2020.1795104. ; Mettler, T. and Vimarlund, V. (2009), “Understanding business intelligence in the context of healthcare”, Health Informatics Journal, Vol. 15 No. 3, pp. 254-264, doi: 10.1177/1460458209337446. ; Moore, E.C., Tolley, C.L., Bates, D.W. and Slight, S.P. (2020), “A systematic review of the impact of health information technology on nurses' time”, Journal of the American Medical Informatics Association, Vol. 27 No. 5, pp. 798-807, doi: 10.1093/jamia/ocz231. ; Murdoch, T.B. and Detsky, A.S. (2013), “The inevitable application of big data to health care”, Jama, Vol. 309 No. 13, pp. 1351-1352, doi: 10.1001/jama.2013.393. ; Muriana, C., Piazza, T. and Vizzini, G. (2016), “An expert system for financial performance assessment of health care structures based on fuzzy sets and KPIs”, Knowledge-Based Systems, Vol. 97, pp. 1-10, doi: 10.1016/j.knosys.2016.01.026. ; Nagel-Picioruş, C., Nagel-Picioruş, L. and Sârbu, R. (2016), “Milestones in implementation of an integrated management system in the health sector. Case study Radiologische Netzwerk Rheinland”, Amfiteatru Economic Journal, Vol. 18 No. 42, pp. 432-445. ; Negash, S. and Gray, P. (2008), “Business intelligence”, in Handbook on Decision Support Systems, Springer, Berlin, Heidelberg, Vol. 2, pp. 175-193. ; Olszak, C.M. and Batko, K. (2012), “Business intelligence systems. New chances and possibilities for healthcare organizations”, Informatyka Ekonomiczna, Vol. 5, pp. 123-138. ; Olszak, C.M., Zurada, J. and Cetindamar, D. (2021), “Business intelligence & big data for innovative and sustainable development of organizations”, Information Systems Management, Vol. 38 No. 4, pp. 268-269, doi: 10.1080/10580530.2022.2011124. ; Orlikowski, W.J. and Baroudi, J.J. (1991), “Studying information technology in organizations: research approaches and assumptions”, Information Systems Research, Vol. 2 No. 1, pp. 1-28, doi: 10.1287/isre.2.1.1. ; Ostern, N., Perscheid, G., Reelitz, C. and Moormann, J. (2021), “Keeping pace with the healthcare transformation: a literature review and research agenda for a new decade of health information systems research”, Electronic Markets, Vol. 31 No. 4, pp. 901-921, doi: 10.1007/s12525-021-00484-1. ; Pace, A. and Buttigieg, S.C. (2017), “Can hospital dashboards provide visibility of information from bedside to board? A case study approach”, Journal of Health Organization and Management, Vol. 31 No. 2, pp. 142-161, doi: 10.1108/jhom-11-2016-0229. ; Person, R. (2013), Balanced Scorecards and Operational Dashboards with Microsoft Excel, John Wiley & Sons, Indianapolis, IN. ; Petrini, M. and Pozzebon, M. (2009), “Managing sustainability with the support of business intelligence: integrating socio-environmental indicators and organizational context”, The Journal of Strategic Information Systems, Vol. 18 No. 4, pp. 178-191, doi: 10.1016/j.jsis.2009.06.001. ; Petticrew, M. and Roberts, H. (2006), Systematic Reviews in the Social Sciences: A Practical Guide, John Wiley & Sons, Oxford. ; Pizzi, S., Caputo, A., Corvino, A. and Venturelli, A. (2020), “Management research and the UN sustainable development goals (SDGs): a bibliometric investigation and systematic review”, Journal of Cleaner Production, Vol. 276, 124033, doi: 10.1016/j.jclepro.2020.124033. ; Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roean, K. and Duffy, S. (2006), “Guidance on the conduct of narrative synthesis in systematic reviews”, A Product from the ESRC Methods Programme Version, Vol. 1 No. 1, p. b92. ; Radhakrishnan, S., Erbis, S., Isaacs, J.A. and Kamarthi, S. (2017), “Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature”, PloS One, Vol. 12 No. 3, e0172778, doi: 10.1371/journal.pone.0172778. ; Raghuram, S., Hill, N.S., Gibbs, J.L. and Maruping, L.M. (2019), “Virtual work: bridging research clusters”, Academy of Management Annals, Vol. 13 No. 1, pp. 308-341, doi: 10.5465/annals.2017.0020. ; Rana, M.A. (2015), “Building a dashboard for the Punjab health department”, Asian Journal of Management Cases, Vol. 12 No. 2, pp. 128-147, doi: 10.1177/0972820115592210. ; Rasmussen, N.H., Bansal, M. and Chen, C.Y. (2009), Business Dashboards: A Visual Catalog for Design and Deployment, John Wiley & Sons, Hoboken, New Jersey. ; Ratia, M. (2018), “Intellectual capital and BI tools in private healthcare value creation”, Electronic Journal of Knowledge Management, Vol. 16 No. 2, pp. 143-154. ; Ratia, M., Myllärniemi, J. and Helander, N. (2018), “The new era of business intelligence: big Data potential in the private health care value creation”, Meditari Accountancy Research, Vol. 26 No. 3, pp. 531-546, doi: 10.1108/medar-08-2017-0200. ; Ratia, M., Myllärniemi, J. and Helander, N. (2019), “The potential beyond IC 4.0: the evolution of business intelligence towards advanced business analytics”, Measuring Business Excellence, Vol. 23 No. 4, pp. 396-410, doi: 10.1108/MBE-12-2018-0103. ; Safwan, E.R., Meredith, R. and Burstein, F. (2016), “Business Intelligence (BI) system evolution: a case in a healthcare institution”, Journal of Decision Systems, Vol. 25 No. sup1, pp. 463-475, doi: 10.1080/12460125.2016.1187384. ; Saunders, M., Lewis, P. and Thornhill, A. (2007), Research Methods. Business Students, 4th ed., Pearson Education, Rotolito Lombarda. ; Scandura, T.A. and Williams, E.A. (2000), “Research methodology in management: current practices, trends, and implications for future research”, Academy of Management Journal, Vol. 43 No. 6, pp. 1248-1264, doi: 10.2307/1556348. ; Schiavone, F., Leone, D., Caporuscio, A. and Kumar, A. (2022), “Revealing the role of intellectual capital in digitalized health networks. A meso level analysis for building and monitoring a KPI dashboard”, Technological Forecasting and Social Change, Vol. 175, 121325, doi: 10.1016/j.techfore.2021.121325. ; Seddigh, M.R., Shokouhyar, S. and Loghmani, F. (2022), “Approaching towards sustainable supply chain under the spotlight of business intelligence”, Annals of Operations Research, Vol. 324 Nos 1-2, pp. 1-34, doi: 10.1007/s10479-021-04509-y. ; Shollo, A. and Kautz, K. (2010), “Towards an understanding of business intelligence”, ACIS 2010 Proceedings. 86, available at: https://aisel.aisnet.org/acis2010/86. ; Tranfield, D., Denyer, D. and Smart, P. (2003), “Towards a methodology for developing evidence-informed management knowledge by means of systematic review”, British Journal of Management, Vol. 14 No. 3, pp. 207-222, doi: 10.1111/1467-8551.00375. ; Tremblay, M.C., Fuller, R., Berndt, D. and Studnicki, J. (2007), “Doing more with more information: changing healthcare planning with OLAP tools”, Decision Support Systems, Vol. 43 No. 4, pp. 1305-1320, doi: 10.1016/j.dss.2006.02.008. ; Tremblay, M.C., Hevner, A.R. and Berndt, D.J. (2012), “Design of an information volatility measure for health care decision making”, Decision Support Systems, Vol. 52 No. 2, pp. 331-341, doi: 10.1016/j.dss.2011.08.009. ; Trieu, V.H. (2017), “Getting value from Business Intelligence systems: a review and research agenda”, Decision Support Systems, Vol. 93, pp. 111-124, doi: 10.1016/j.dss.2016.09.019. ; Vaismoradi, M., Turunen, H. and Bondas, T. (2013), “Content analysis and thematic analysis: implications for conducting a qualitative descriptive study”, Nursing and Health Sciences, Vol. 15 No. 3, pp. 398-405, doi: 10.1111/nhs.12048. ; Vaismoradi, M., Jones, J., Turunen, H. and Snelgrove, S. (2016), “Theme development in qualitative content analysis and thematic analysis”, Journal of Nursing Education and Practice, Vol. 6 No. 5, doi: 10.5430/jnep.v6n5p100. ; Van Eck, N. and Waltman, L. (2010), “Software survey: VOSviewer, a computer program for bibliometric mapping”, Scientometrics, Vol. 84 No. 2, pp. 523-538, doi: 10.1007/s11192-009-0146-3. ; Von Lubitz, D. and Patricelli, F. (2007), “Network-centric healthcare operations: data warehousing and the associated telecommunications platforms”, International Journal of Services and Standards, Vol. 3 No. 1, pp. 97-119, doi: 10.1504/ijss.2007.011830. ; Wang, Y. and Byrd, T.A. (2017), “Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care”, Journal of Knowledge Management, Vol. 21 No. 3, pp. 517-539, doi: 10.1108/jkm-08-2015-0301. ; Wang, Y., Kung, L., Wang, W.Y.C. and Cegielski, C.G. (2018), “An integrated big data analytics-enabled transformation model: application to health care”, Information and Management, Vol. 55 No. 1, pp. 64-79, doi: 10.1016/j.im.2017.04.001. ; Watson, R.T. and Webster, J. (2020), “Analysing the past to prepare for the future: writing a literature review a roadmap for release 2.0”, Journal of Decision Systems, Vol. 29 No. 3, pp. 129-147, doi: 10.1080/12460125.2020.1798591. ; World Health Organization (2010), Monitoring the Building Blocks of Health Systems: A Handbook of Indicators and Their Measurement Strategies, World Health Organization, Geneva. ; Yang, J.J., Li, J., Mulder, J., Wang, Y., Chen, S., Wu, H., Wang, Q. and Pan, H. (2015), “Emerging information technologies for enhanced healthcare”, Computers in Industry, Vol. 69, pp. 3-11, doi: 10.1016/j.compind.2015.01.012. ; Yip, K., Leung, L. and Yeung, D. (2018), “Leveling bed occupancy: reconfiguring surgery schedules via simulation”, International Journal of Health Care Quality Assurance, Vol. 31 No. 7, pp. 864-876, doi: 10.1108/ijhcqa-12-2017-0237. ; Zahid, A., Poulsen, J.K., Sharma, R. and Wingreen, S.C. (2021), “A systematic review of emerging information technologies for sustainable data-centric health-care”, International Journal of Medical Informatics, Vol. 149, 104420, doi: 10.1016/j.ijmedinf.2021.104420.
- Contributed Indexing: Keywords: Business intelligence; Decision making; Health management; Healthcare organization; Information; Systematic literature review
- Entry Date(s): Date Created: 20240329 Date Completed: 20240401 Latest Revision: 20240401
- Update Code: 20240401
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