Abstract
Digital transformation has disrupted various healthcare domains, yet we are just starting to witness the enrollment of digital solutions enabled by technologies such as artificial intelligence and machine learning. Stroke is one of the leading causes of death and permanent disability globally. Research evidence suggests a need for newer technology-enabled collaborative service models that will not only improve stroke care but are economically viable for stakeholders (i.e., service providers, patients, and payers). A new collaborative service model equally requires the development of new collaborative business models in the stroke care cycle. In a large-scale research ecosystem in Finland, the stroke care pathway is utilized to identify the scope of digitalization in early stroke diagnosis, treatment, rehabilitation, and secondary prevention. This study presents how the stroke care pathway has been used as the basis for new collaborative business models and healthcare service innovation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Horgan, D., Romão, M., Torbett, R., Brand, A.: European data-driven economy: a lighthouse initiative on personalised medicine. Heal. Policy Technol. 3(4), 226–233 (2014). https://doi.org/10.1016/j.hlpt.2014.10.007
Blake, B.: Healthcare and the Promise of Digitization. Gartner.com (2017). https://www.scmworld.com/healthcare-promise-digitization/
Gomes, J.F.: Exploring connected health business ecosystems through business models (2020)
Hyrkäs, P., Haukipuro, L., Väinämö, S., Iivari, M., Sachinopoulou, A., Majava, J.: Collaborative innovation in healthcare: a case study of hospitals as innovation platforms. Int. J. Value Chain Manag. 11(1), 24–41 (2020). https://doi.org/10.1504/IJVCM.2020.105475
Kraus, S., Schiavone, F., Pluzhnikova, A., Invernizzi, A.C.: Digital transformation in healthcare: Analyzing the current state-of-research. J. Bus. Res. 123, 557–567 (2021). https://doi.org/10.1016/j.jbusres.2020.10.030
Blomster, M., Koivumäki, T.: Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing. Inf. Syst. e-Bus. Manage. 20(1), 123–169 (2022). https://doi.org/10.1007/s10257-021-00547-y
Iivari, M., Pikkarainen, M., Gomes, J.F., Ranta, J., Ylén, P.: Toward Open inz novation and data-driven health policymaking, June 2021, pp. 199–225 (2019). https://doi.org/10.1142/9789813271647_0007
Middleton, S., Barnett, J., Reeves, D.S.: What is an integrated care pathway? Hayward Med. Commun. 3(3), 1–8 (2001)
Schrijvers, G., van Hoorn, A., Huiskes, N.: The care pathway concept: concepts and theories: an introduction. Int. J. Integr. Care 12(6), e192 (2012)
Olsson, L.-E., Hansson, E., Ekman, I., Karlsson, J.: A cost-effectiveness study of a patient-centred integrated care pathway. J. Adv. Nurs. 65(8), 1626–1635 (2009)
Simonse, L., Albayrak, A., Starre, S.: Patient journey method for integrated service design. Des. Heal. 3(1), 82–97 (2019). https://doi.org/10.1080/24735132.2019.1582741
Trebble, T.M., Hansi, N., Hydes, T., Smith, M.A., Baker, M.: Process mapping the patient journey: an introduction. BMJ 341, c4078–c4078 (2010)
Strandell, H., Wolff, P.: “Ageing Europe: Looking at the lives of older people in the EU,” Luxembourg (2019). https://doi.org/10.2785/26745
WHO: Non-communicable diseases. World Health Organization (2022). https://www.euro.who.int/en/health-topics/noncommunicable-diseases/noncommunicable-diseases. Accessed 25 Apr 2022
Chouvarda, I.G., Goulis, D.G., Lambrinoudaki, I., Maglaveras, N.: Connected health and integrated care: toward new models for chronic disease management. Maturitas 82(1), 22–27 (2015). https://doi.org/10.1016/j.maturitas.2015.03.015
Do Nascimento, I.J.B., et al.: Impact of big data analytics on people’s health: overview of systematic reviews and recommendations for future studies. J. Med. Internet Res. 23(4), e27275 (2021). https://doi.org/10.2196/27275
Johnson, K.B., et al.: Precision medicine, AI, and the future of personalized health care. Clin. Transl. Sci. 14(1), 86–93 (2021). https://doi.org/10.1111/cts.12884
Morley, J., Murphy, L., Mishra, A., Joshi, I., Karpathakis, K.: Governing data and artificial intelligence for health care: developing an international understanding. JMIR Form. Res. 6(1), 1–13 (2022). https://doi.org/10.2196/31623
Pikkarainen, M., Huhtala, T., Kemppainen, L., Häikiö, J.: Success factors for data–driven service delivery networks. J. Innov. Manag. 7(4), 14–46 (2019). https://doi.org/10.24840/2183-0606_007.004_0003
Gomes, J.F., Pääkkönen, J., Iivari, M., Kemppainen, L., Pikkarainen, M.: ‘MyData’ potential in public health decisions. In: EDSI Conference 2018, pp. 2–6 (2018)
Hwang, J., Christensen, C.M.: Disruptive innovation in health care delivery: a framework for business-model innovation. Health Aff. 27(5), 1329–1335 (2008). https://doi.org/10.1377/hlthaff.27.5.1329
Christensen, T.B., Van Bever, D.: The hard truth about business model innovation @BULLET reading time: 30 min recommended harnessing the best of globalization designing and developing analytics-based data products unleashing creativity with digital technology. MIT Sloan Manag. Rev. 58(1), 31–40 (2016)
Chesbrough, H.: Business model innovation: opportunities and barriers. Long Range Plann. 43(2–3), 354–363 (2010). https://doi.org/10.1016/j.lrp.2009.07.010
Massa, L., Tucci, C.: Business model innovation. In: The PDMA Handbook of New Product Development, pp. 68–81 (2013). https://doi.org/10.1002/9781118466421.ch4
Dias, C., Escoval, A.: The open nature of innovation in the hospital sector: the role of external collaboration networks. Heal. Policy Technol. 1(4), 181–186 (2012). https://doi.org/10.1016/j.hlpt.2012.10.002
Gomes, J.F., Iivari, M., Pikkarainen, M., Ahokangas, P.: Business models as enablers of ecosystemic interaction: a dynamic capability perspective. Int. J. Soc. Ecol. Sustain. Dev. 9(3), 1–13 (2018). https://doi.org/10.4018/IJSESD.2018070101
Jansson, N., Ahokangas, P., Iivari, M., Perälä-Heape, M., Salo, S.: The competitive advantage of an ecosystemic business model: the case of OuluHealth. Interdiscip. Stud. J. 3(4), 282–295 (2014)
Zott, C., Amit, R.H., Massa, L.: The business model: recent developments and future research. J. Manage. 37(4), 1019–1042 (2011)
Pikkarainen, M., Koivumäki, T., Iivari, M.: Seizing the business opportunities of the MyData service delivery network: transforming the business models of health insurance companies. J. Bus. Model. 8(2), 39–56 (2020)
Yin, R.K.: Case Study Research and Applications: Design and Methods. Sage Publications (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 IFIP International Federation for Information Processing
About this paper
Cite this paper
Gomes, J.F. et al. (2022). Care Pathway as the Basis for Collaborative Business Model Innovation in Healthcare. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Osório, A.L. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-031-14844-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-031-14844-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-14843-9
Online ISBN: 978-3-031-14844-6
eBook Packages: Computer ScienceComputer Science (R0)
