IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i14p8427-d859527.html
   My bibliography  Save this article

Building Process-Oriented Data Science Solutions for Real-World Healthcare

Author

Listed:
  • Carlos Fernandez-Llatas

    (SABIEN—Institute of Information and Communication Technologies (ITACA), Universitat Politecnica de Valencia, Camino de Vera S/N, 46022 Valencia, Spain
    Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden)

  • Niels Martin

    (Research Group Business Informatics, Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium
    Research Foundation Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium)

  • Owen Johnson

    (School of Computing, Faculty of Engineering, University of Leeds, Leeds LS2 9JT, UK)

  • Marcos Sepulveda

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Santiago 7820436, Chile)

  • Emmanuel Helm

    (School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Softwarepark 11, 4332 Hagenberg, Austria)

  • Jorge Munoz-Gama

    (Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Santiago 7820436, Chile)

Abstract

The COVID-19 pandemic has highlighted some of the opportunities, problems and barriers facing the application of Artificial Intelligence to the medical domain. It is becoming increasingly important to determine how Artificial Intelligence will help healthcare providers understand and improve the daily practice of medicine. As a part of the Artificial Intelligence research field, the Process-Oriented Data Science community has been active in the analysis of this situation and in identifying current challenges and available solutions. We have identified a need to integrate the best efforts made by the community to ensure that promised improvements to care processes can be achieved in real healthcare. In this paper, we argue that it is necessary to provide appropriate tools to support medical experts and that frequent, interactive communication between medical experts and data miners is needed to co-create solutions. Process-Oriented Data Science, and specifically concrete techniques such as Process Mining, can offer an easy to manage set of tools for developing understandable and explainable Artificial Intelligence solutions. Process Mining offers tools, methods and a data driven approach that can involve medical experts in the process of co-discovering real-world evidence in an interactive way. It is time for Process-Oriented Data scientists to collaborate more closely with healthcare professionals to provide and build useful, understandable solutions that answer practical questions in daily practice. With a shared vision, we should be better prepared to meet the complex challenges that will shape the future of healthcare.

Suggested Citation

  • Carlos Fernandez-Llatas & Niels Martin & Owen Johnson & Marcos Sepulveda & Emmanuel Helm & Jorge Munoz-Gama, 2022. "Building Process-Oriented Data Science Solutions for Real-World Healthcare," IJERPH, MDPI, vol. 19(14), pages 1-5, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8427-:d:859527
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/14/8427/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/14/8427/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sung S Park & Deborah S Carr, 2021. "Caregivers’ Mental Health and Somatic Symptoms During COVID-19," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(4), pages 235-240.
    2. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    3. Maria Laura Ruiu, 2020. "Mismanagement of Covid-19: lessons learned from Italy," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 1007-1020, August.
    Full references (including those not matched with items on IDEAS)

    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. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    2. Garcia-Perez, Alexeis & Cegarra-Navarro, Juan Gabriel & Sallos, Mark Paul & Martinez-Caro, Eva & Chinnaswamy, Anitha, 2023. "Resilience in healthcare systems: Cyber security and digital transformation," Technovation, Elsevier, vol. 121(C).
    3. Chun-Yi Lin & Chen Li & Sadaf Mahmood & Feng Guo & Zuoyi Qian, 2024. "Integrating Culture and Tourism: A Resilient Scale for Digital Transformation Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16122-16155, December.
    4. Cannavacciuolo, Lorella & Capaldo, Guido & Ponsiglione, Cristina, 2023. "Digital innovation and organizational changes in the healthcare sector: Multiple case studies of telemedicine project implementation," Technovation, Elsevier, vol. 120(C).
    5. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Basile, L.J. & Carbonara, N. & Panniello, U. & Pellegrino, R., 2024. "The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management," Technovation, Elsevier, vol. 133(C).
    7. Anca Elena Lungu & Mircea Radu Georgescu & Daniel Juravle, 2024. "A Bibliometric Analysis of Digital Entrepreneurship," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18617-18645, December.
    8. Carla Santos Pereira & Natercia Durão & Fernando Moreira & Bruno Veloso, 2022. "The Importance of Digital Transformation in International Business," Sustainability, MDPI, vol. 14(2), pages 1-26, January.
    9. Xin Tan & Jinfang Jiao & Ming Jiang & Ming Chen & Wenpeng Wang & Yijun Sun, 2024. "Digital Policy, Green Innovation, and Digital-Intelligent Transformation of Companies," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    10. Kovanic, Martin & Steuer, Max, 2023. "Fighting against COVID-19: With or without politics?," Social Science & Medicine, Elsevier, vol. 337(C).
    11. Tuomas Korhonen & Virpi Sillanpää & Aki Jääskeläinen, 2023. "Anchor practices that guide horizontal performance measurement: an interventionist case study of the financial aspect of new technology implementation in healthcare," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 787-816, September.
    12. Denicolai, Stefano & Previtali, Pietro, 2023. "Innovation strategy and digital transformation execution in healthcare: The role of the general manager," Technovation, Elsevier, vol. 121(C).
    13. Lu, Shan & Peng, Sihan & Shi, Jiaxin & Zhang, Ci & Feng, Yanchao, 2024. "How does digital transformation affect the total factor productivity of China's A-share listed enterprises in the mineral resource-based sector?," Resources Policy, Elsevier, vol. 94(C).
    14. Sun, Gebing & Li, Guozhi & Dilanchiev, Azer & Kazimova, Asli, 2023. "Promotion of green financing: Role of renewable energy and energy transition in China," Renewable Energy, Elsevier, vol. 210(C), pages 769-775.
    15. Sandra Starke & Iveta Ludviga, 2024. "Impeding Digital Transformation by Establishing a Continuous Process of Competence Reconfiguration: Developing a New Construct and Measurements for Sustained Learning," Sustainability, MDPI, vol. 16(23), pages 1-16, November.
    16. Mountford, Nicola & Geiger, Susi, 2024. "Public actor roles in market experiments: Innovating digital health markets in New York and Ireland," Journal of Business Research, Elsevier, vol. 183(C).
    17. Natanya Meyer & Foued Ben Said & Nasser Alhamar Alkathiri & Mohammad Soliman, 2023. "A scientometric analysis of entrepreneurial and the digital economy scholarship: state of the art and an agenda for future research," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-26, December.
    18. Singh, Shiwangi & Sharma, Meenakshi & Dhir, Sanjay, 2021. "Modeling the effects of digital transformation in Indian manufacturing industry," Technology in Society, Elsevier, vol. 67(C).
    19. Margarida Rodrigues & Mário Franco & Nuno Sousa & Rui Silva, 2021. "Reviewing COVID-19 Literature on Business Management: What It Portends for Future Research?," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    20. Antonios Kargas & Eleni C. Gkika & Anastasios Sepetis, 2024. "Exploring Digital Transformation Intensity and Its Relationship with Sustainability: Greek Managers’ Perspectives," Sustainability, MDPI, vol. 16(14), pages 1-19, July.

    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:gam:jijerp:v:19:y:2022:i:14:p:8427-:d:859527. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.