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Establishing a Health Data Marketplace: A Framework for Success

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New Sustainable Horizons in Artificial Intelligence and Digital Solutions (I3E 2023)

Abstract

This study outlines essential elements needed to develop a Health Data Marketplace (HDM) by building upon an existing data platform in Norway. A comprehensive framework is proposed that accounts for technical, legal, financial, and additional considerations. The results highlight the pivotal roles of key HDM actors - Marketplace Operators, Marketplace Users, and Legal Authorities - and emphasize critical enablers such as Data Standardization, Interoperability, Integration, Security, Trust, and Legal Frameworks. Such a marketplace has the potential to catalyze the effective, secure, and ethical use of health data, contributing to enhanced healthcare outcomes, research, and innovation.

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References

  1. Bakken, I.J., Ariansen, A.M.S., Knudsen, G.P., Johansen, K.I., Vollset, S.E.: The Norwegian patient registry and the Norwegian registry for primary health care: research potential of two nationwide health-care registries. Scand. J. Public Health 48(1), 49–55 (2020)

    Article  Google Scholar 

  2. Direktoratet for e-helse. Helsedata (n.d.) https://www.ehelse.no/tema/helsedata. Accessed 30 May 2023

  3. Saunes, I., Karanikolos, M., Sagan, A.: Norway: health system review. Health Syst. Transit. 22(1) (2020)

    Google Scholar 

  4. Emberland, K.E., Rørtveit, G.: Norske helsedata - en utilgjengelig skatt. Tidsskr. Nor. Laegeforen. 136(18), 1506 (2016)

    Article  Google Scholar 

  5. Helsedata. Om helsedata.no. (n.d.). https://helsedata.no/no/om-helsedata/. Accessed 27 May 2023

  6. Direktoratet for e-helse. Helseanalyseplattformen (2021). https://www.ehelse.no/programmer/helsedataprogrammet/helseanalyseplattformen. Accessed 27 May 2023

  7. Direktoratet for e-helse. Setter arbeidet med Helseanalyseplattformen på pause (2021). https://www.ehelse.no/aktuelt/setter-arbeidet-medhelseanalyseplattformen-pa-pause. Accessed 27 May 2023

  8. Fruhwirth, M., Rachinger, M., Prlja, E.: Discovering business models of data marketplaces. In: 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020. IEEE Computer Society (2020)

    Google Scholar 

  9. Bergman, R., Abbas, A.E., Jung, S., Werker, C., de Reuver, M.: Business model archetypes for data marketplaces in the automotive industry: contrasting business models of data marketplaces with varying ownership and orientation structures. Electron. Mark. 32(2), 747–765 (2022)

    Article  Google Scholar 

  10. Chakrabarti, A., Quix, C., Geisler, S., Pullmann, J., Khromov, A., Jarke, M.: Goaloriented modelling of relations and dependencies in data marketplaces. In: 11th International i* Workshop, iStar 2018. CEUR-WS (2018)

    Google Scholar 

  11. Ito, R.: ID-Link, an enabler for medical data marketplace. In: 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE Computer Society (2016)

    Google Scholar 

  12. Figueredo, K., Seed, D., Wang, C.: A scalable, standards-based approach for IoT data sharing and ecosystem monetization. IEEE Internet Things J. 9(8), 5645–5652 (2022)

    Article  Google Scholar 

  13. Rahmani, A.-M., et al.: Smart e-health gateway: bringing intelligence to Internet-of-Things based ubiquitous healthcare systems. IEEE (2015)

    Google Scholar 

  14. Nguyen, D.D. Ali, M.I.: Enabling on-demand decentralized IoT collectability marketplace using blockchain and crowdsensing. In: 3rd Global IoT Summit, GIoTS 2019. Institute of Electrical and Electronics Engineers Inc. (2019)

    Google Scholar 

  15. Chowdhury, M.J.M., et al.: Trust modeling for blockchain-based wearable data market. In: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Sydney, NSW, Australia, pp. 411–417 (2019)

    Google Scholar 

  16. Giordanengo, A., Bradway, M., Muzny, M., Woldaregay, A., Hartvigsen, G., Arsand, E.: Systems integrating self-collected health data by patients into EHRs: a state-of-the-art review (2018)

    Google Scholar 

  17. Paparova, D., Aanestad, M., Vassilakopoulou, P., Bahus, M.K.: Data governance spaces: the case of a national digital service for personal health data. Inf. Organ. 33(1), 100451 (2023)

    Article  Google Scholar 

  18. Muzny, M., et al.: Wearable sensors with possibilities for data exchange: analyzing status and needs of different actors in mobile health monitoring systems. Int. J. Med. Inform. 133, 104017 (2020)

    Article  Google Scholar 

  19. Pomp, A., Paulus, A., Burgdorf, A., Meisen, T.: A semantic data marketplace for easy data sharing within a smart city. In: 30th ACM International Conference on Information and Knowledge Management, CIKM 2021. Association for Computing Machinery (2021)

    Google Scholar 

  20. Vassilakopoulou, P., Aanestad, M.: Communal data work: data sharing and reuse in clinical genetics. Health Inform. J. 25(3), 511–525 (2019)

    Article  Google Scholar 

  21. Santos, J., Rodrigues, J.J.P.C., Silva, B.M.C., Casal, J., Saleem, K., Denisov, V.: An IoT-based mobile gateway for intelligent personal assistants on mobile health environments. J. Netw. Comput. Appl. 71, 194–204 (2016)

    Article  Google Scholar 

  22. Sharma, P., Lawrenz, S., Rausch, A.: Towards trustworthy and independent data marketplaces. In: 2nd International Conference on Blockchain Technology, ICBCT 2020. Association for Computing Machinery (2020)

    Google Scholar 

  23. More, S., Alber, L.: YOU SHALL NOT COMPUTE on my data: access policies for privacy-preserving data marketplaces and an implementation for a distributed market using MPC. In: 17th International Conference on Availability, Reliability and Security, ARES 2022. Association for Computing Machinery (2022)

    Google Scholar 

  24. Alvsvåg, R., Bokolo, A., Petersen, S.A.: The role of a data marketplace for innovation and value-added services in smart and sustainable cities. In: Phillipson, F., Eichler, G., Erfurth, C., Fahrnberger, G. (eds.) I4CS 2022. CCIS, vol. 1585, pp. 215–230. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06668-9_16

    Chapter  Google Scholar 

  25. Spiekermann, M.: Data marketplaces: trends and monetisation of data goods. Intereconomics 54(4), 208–216 (2019). https://doi.org/10.1007/s10272-019-0826-z

    Article  Google Scholar 

  26. Teece, D.J.: Business models and dynamic capabilities. Long Range Plan. 51(1), 40–49 (2018)

    Article  Google Scholar 

  27. Demchenko, Y., Cushing, R., Los, W., Grosso, P., De Laat, C., Gommans, L.: Open data market architecture and functional components. In: 2019 International Conference on High Performance Computing and Simulation, HPCS 2019. Institute of Electrical and Electronics Engineers Inc. (2019)

    Google Scholar 

  28. Lawrenz, S., Sharma, P., Rausch, A.: The significant role of metadata for data marketplaces. In: 9th Dublin Core Metadata Initiative International Conference on Dublin Core and Metadata Applications, DCMI 2019. Dublin Core Metadata Initiative (2019)

    Google Scholar 

  29. Smith, G., Ofe, H.A., Sandberg, J.: Digital service innovation from open data: exploring the value proposition of an open data marketplace. In: 49th Annual Hawaii International Conference on System Sciences, HICSS 2016. IEEE Computer Society (2016)

    Google Scholar 

  30. DeCarlo, M.: 13.2: qualitative interview techniques. In: Scientific Inquiry in Social Work. Radford University (2021)

    Google Scholar 

  31. Oates, B.J.: Researching Information Systems and Computing. Sage Publications Ltd. (2006)

    Google Scholar 

  32. Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N., Hoagwood, K.: Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm. Policy Ment. Health Ment. Health Serv. Res. 42(5), 533–544 (2015)

    Article  Google Scholar 

  33. Clifford, N., Cope, M., Gillespie, T., French, S.: Key Methods in Geography, 2nd edn. Sage Publications Ltd. (2016)

    Google Scholar 

  34. Kallio, H., Pietilä, A.M., Johnson, M., Kangasniemi, M.: Systematic methodological review: developing a framework for a qualitative semi-structured interview guide. J. Adv. Nurs. 72(12), 2954–2965 (2016)

    Article  Google Scholar 

  35. NSD - Norsk senter for forskningsdata. Vi sørger for at data om mennesker og samfunn kan hentes inn, bearbeides, lagres og deles trygt og lovlig, i dag og i fremtiden (n.d.) https://www.nsd.no/index.html. Accessed 30 May 2023

  36. Miles, M.B., Huberman, A.M., Saldana, J.: Fundamentals of qualitative data analysis. In: Qualitative Data Analysis: A Methods Sourcebook, vol. 3 (2014)

    Google Scholar 

  37. Kurasaki, K.: Intercoder reliability for validating conclusions drawn from OpenEnded interview data. Field Methods - FIELD METHOD 12, 179–194 (2000)

    Article  Google Scholar 

  38. Vassilakopoulou, P., Skorve, E., Aanestad, M.: Enabling openness of valuable information resources: curbing data subtractability and exclusion. Inf. Syst. J. 29(4), 768–786 (2019)

    Article  Google Scholar 

  39. Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J.: Responsible digital transformation for a sustainable society. Inf. Syst. Front. (2023)

    Google Scholar 

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Correspondence to Polyxeni Vassilakopoulou .

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Erdvik, M., Intaraphasuk, K., Pappas, I.O., Vassilakopoulou, P. (2023). Establishing a Health Data Marketplace: A Framework for Success. In: Janssen, M., et al. New Sustainable Horizons in Artificial Intelligence and Digital Solutions. I3E 2023. Lecture Notes in Computer Science, vol 14316. Springer, Cham. https://doi.org/10.1007/978-3-031-50040-4_17

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  • DOI: https://doi.org/10.1007/978-3-031-50040-4_17

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