IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v128y2018icp84-103.html
   My bibliography  Save this article

Measuring the maturity of business intelligence in healthcare: Supporting the development of a roadmap toward precision medicine within ISMETT hospital

Author

Listed:
  • Gastaldi, Luca
  • Pietrosi, Astrid
  • Lessanibahri, Sina
  • Paparella, Marco
  • Scaccianoce, Antonio
  • Provenzale, Giuseppe
  • Corso, Mariano
  • Gridelli, Bruno

Abstract

Business Intelligence (BI) has the potential to disrupt the processes through which healthcare services are offered. Despite this key role, most healthcare organizations fail in implementing or extending BI suites from the pilot niches in which these solutions are usually developed and tested to larger domains. In fact, healthcare practitioners lack comprehensive models that suggest the priorities to be followed for progressively developing a BI solution. This paper aims to start filling these gaps by developing a model through which: (i) to measure and increase the maturity of a BI solution within a healthcare organization; (ii) to enable extensive processes of benchmarking and continuous improvement.

Suggested Citation

  • Gastaldi, Luca & Pietrosi, Astrid & Lessanibahri, Sina & Paparella, Marco & Scaccianoce, Antonio & Provenzale, Giuseppe & Corso, Mariano & Gridelli, Bruno, 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, Elsevier, vol. 128(C), pages 84-103.
    • Handle: RePEc:eee:tefoso:v:128:y:2018:i:c:p:84-103
    DOI: 10.1016/j.techfore.2017.10.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162516306382
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2017.10.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luca Gastaldi & Riccardo Mangiaracina & Giovanni Miragliotta & Alessandro Perego & Angela Tumino, 2015. "Measuring the benefits of tracking medical treatment through RFId," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 64(2), pages 175-193, February.
    2. Behkami, Nima A. & U. Daim, Tugrul, 2012. "Research Forecasting for Health Information Technology (HIT), using technology intelligence," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 498-508.
    3. Borzekowski, Ron, 2009. "Measuring the cost impact of hospital information systems: 1987-1994," Journal of Health Economics, Elsevier, vol. 28(5), pages 938-949, September.
    4. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    5. Frederik Marx & Felix Wortmann & Jörg Mayer, 2012. "A Maturity Model for Management Control Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(4), pages 193-207, August.
    6. Robert G. Fichman & Rajiv Kohli & Ranjani Krishnan, 2011. "Editorial Overview ---The Role of Information Systems in Healthcare: Current Research and Future Trends," Information Systems Research, INFORMS, vol. 22(3), pages 419-428, September.
    7. L. J. Bourgeois, III & Kathleen M. Eisenhardt, 1988. "Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry," Management Science, INFORMS, vol. 34(7), pages 816-835, July.
    8. Erik W. Kuiler, 2014. "From Big Data to Knowledge: An Ontological Approach to Big Data Analytics," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 311-318, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    2. Nazarenko, Anastasia & Vishnevskiy, Konstantin & Meissner, Dirk & Daim, Tugrul, 2022. "Applying digital technologies in technology roadmapping to overcome individual biased assessments," Technovation, Elsevier, vol. 110(C).
    3. Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Maria Guadalupe Medina Barrera & Argelia B. Urbina Najera, 2021. "Medicion de Madurez en la Implementacion de Inteligencia de Negocios en PYMEs de TI(Measuring Business Intelligence Implementation Maturity in IT SMEs)," Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), vol. 9(1), pages 61-79, May.
    5. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    6. Xing, Fei & Peng, Guochao & Zhang, Bingqian & Li, Shuyang & Liang, Xinting, 2021. "Socio-technical barriers affecting large-scale deployment of AI-enabled wearable medical devices among the ageing population in China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    7. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Vincenzo Vignieri & Carmine Bianchi & Astrid Pietrosi & Giuseppe Provenzale, 2019. "Il contributo delle reti sanitarie "spontanee" al miglioramento degli outcome: opportunit? e sfide nella prospettiva della progettazione dei sistemi di programmazione e controllo," MECOSAN, FrancoAngeli Editore, vol. 2019(109), pages 83-104.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    2. Lu Yan & Yong Tan, 2014. "Feeling Blue? Go Online: An Empirical Study of Social Support Among Patients," Information Systems Research, INFORMS, vol. 25(4), pages 690-709, December.
    3. Ahmed Abbasi & Jingjing Li & Donald Adjeroh & Marie Abate & Wanhong Zheng, 2019. "Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings," Information Systems Research, INFORMS, vol. 30(3), pages 1007-1028, September.
    4. Lu (Lucy) Yan & Jianping Peng & Yong Tan, 2015. "Network Dynamics: How Can We Find Patients Like Us?," Information Systems Research, INFORMS, vol. 26(3), pages 496-512, September.
    5. Chih-Hung Peng & Dezhi Yin & Han Zhang, 2020. "More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective," Information Systems Research, INFORMS, vol. 31(3), pages 913-928, September.
    6. Zhao, Yang & Canales, J. Ignacio, 2021. "Never the twain shall meet? Knowledge strategies for digitalization in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Sean Hansen & A. James Baroody, 2020. "Electronic Health Records and the Logics of Care: Complementarity and Conflict in the U.S. Healthcare System," Information Systems Research, INFORMS, vol. 31(1), pages 57-75, March.
    8. Xu, Zhuo, 2019. "An empirical study of patients' privacy concerns for health informatics as a service," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 297-306.
    9. Andy Weeger & Heinz-Theo Wagner & Heiko Gewald & Tim Weitzel, 2021. "Contradictions and Interventions in Health IS," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(6), pages 689-710, December.
    10. Abhay Nath Mishra & Youyou Tao & Mark Keil & Jeong-ha (Cath) Oh, 2022. "Functional IT Complementarity and Hospital Performance in the United States: A Longitudinal Investigation," Information Systems Research, INFORMS, vol. 33(1), pages 55-75, March.
    11. Nadine Ostern & Guido Perscheid & Caroline Reelitz & Jürgen Moormann, 2021. "Keeping pace with the healthcare transformation: a literature review and research agenda for a new decade of health information systems research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 901-921, December.
    12. Stefanie Steinhauser, 2019. "Network-Based Business Models, the Institutional Environment, and the Diffusion of Digital Innovations: Case Studies of Telemedicine Networks in Germany," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(3), pages 343-383, August.
    13. Sebastian Hermes & Tobias Riasanow & Eric K. Clemons & Markus Böhm & Helmut Krcmar, 2020. "The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1033-1069, November.
    14. Ravi Thambusamy & Prashant Palvia, 2020. "U.S. Healthcare Provider Capabilities and Performance: the Mediating Roles of Service Innovation and Quality," Information Systems Frontiers, Springer, vol. 22(1), pages 91-111, February.
    15. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.
    16. Torsten Oliver Salge & David Antons & Michael Barrett & Rajiv Kohli & Eivor Oborn & Stavros Polykarpou, 2022. "How IT Investments Help Hospitals Gain and Sustain Reputation in the Media: The Role of Signaling and Framing," Information Systems Research, INFORMS, vol. 33(1), pages 110-130, March.
    17. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    18. van Riel, A.C.R. & Lievens, A., 2003. "New service development in high tech sectors: a decision making perspective," Research Memorandum 013, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    20. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:128:y:2018:i:c:p:84-103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.