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Paving the Way for the Low-/No-Code Development of Digital Therapeutics: The DTxTAPP Framework

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Enterprise Design, Operations, and Computing. EDOC 2023 Workshops (EDOC 2023)

Abstract

Digital Therapeutics (DTx) are considered primarily patient-facing software applications that promise personalized behavioral treatments whenever and where needed. In recent years, the DTx market has seen strong growth due to reforms promoting the digital transformation of national healthcare systems, leading to competitive pressure among vendors and shorter times to market. To accelerate the development of DTx and deal with their complexity, so-called low-/no-code platforms that build on the ideas of model-driven engineering have moved into the focus of research and practice. However, research regarding the generic development of DTx is still in its infancy, and prior contributions mainly focused on specific modeling and development aspects. Following a design science research approach, a synergized framework is derived based on previous conceptualizations to provide a holistic view on DTx intervention modeling. The proposed framework describes how the intervention workflow modeling can be systematically structured, may help to organize existing intervention knowledge, and provides the foundation for a technical instantiation. After demonstrating the framework, implications for future research and practice are discussed.

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References

  1. Wang, C., Lee, C., Shin, H.: Digital therapeutics from bench to bedside. Npj Digit. Med. 6, 38 (2023)

    Article  Google Scholar 

  2. DTx Alliance: Digital Therapeutics Alliance. https://dtxalliance.org/. Accessed 27 Dec 2022

  3. Holman, H., Lorig, K.: Patient self-management: a key to effectiveness and efficiency in care of chronic disease. Public Health Rep. 119, 239–243 (2004)

    Article  Google Scholar 

  4. Sim, I.: Mobile devices and health. N. Engl. J. Med. 381, 956–968 (2019)

    Article  Google Scholar 

  5. Prodan, A., et al.: Success factors for scaling up the adoption of digital therapeutics towards the realization of P5 medicine. Front. Med. 9, 854665 (2022)

    Article  Google Scholar 

  6. Nahum-Shani, I., Wetter, D.W., Murphy, S.A.: Adapting just-in-time interventions to vulnerability and receptivity: conceptual and methodological considerations. In: Digital Therapeutics for Mental Health and Addiction, pp. 77–87. Elsevier (2023)

    Google Scholar 

  7. Weimann, T.G., Schlieter, H., Brendel, A.B.: Virtual coaches: background, theories, and future research directions. Bus. Inf. Syst. Eng. 64, 515–528 (2022). https://doi.org/10.1007/s12599-022-00757-9

    Article  Google Scholar 

  8. Di Ruscio, D., Kolovos, D., de Lara, J., Pierantonio, A., Tisi, M., Wimmer, M.: Low-code development and model-driven engineering: two sides of the same coin? Softw. Syst. Model. 21, 437–446 (2022). https://doi.org/10.1007/s10270-021-00970-2

    Article  Google Scholar 

  9. Bock, A.C., Frank, U.: Low-code platform. Bus. Inf. Syst. Eng. 63, 733–740 (2021). https://doi.org/10.1007/s12599-021-00726-8

    Article  Google Scholar 

  10. Beinema, T., op den Akker, H., Hofs, D., van Schooten, B.: The WOOL dialogue platform: enabling interdisciplinary user-friendly development of dialogue for conversational agents. Open Res. Eur. 2, 7 (2022)

    Google Scholar 

  11. Gand, K., Stark, J., Schlieter, H., Gißke, C., Burwitz, M.: Using clinical pathways to virtual coach patients for home rehabilitation. In: ICIS 2021 Proceedings (2021)

    Google Scholar 

  12. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)

    Article  Google Scholar 

  13. Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26, xiii–xxiii (2002)

    Google Scholar 

  14. Mayring, P.: Qualitative Content Analysis. Forum Qual. Sozialforschung Forum Qual. Soc. Res. vol. 1, no. 2: Qualitative Methods in Various Disciplines I: Psychology (2000)

    Google Scholar 

  15. European Commission: Personalised coaching for well-being and care of people as they age (Horizon 2020). https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/sc1-pm-15-2017. Accessed 02 Mar 2022

  16. Topol, E.J.: High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 25, 44–56 (2019)

    Article  Google Scholar 

  17. Fürstenau, D., Gersch, M., Schreiter, S.: Digital Therapeutics (DTx). Bus. Inf. Syst. Eng. 65, 349–360 (2023). https://doi.org/10.1007/s12599-023-00804-z

    Article  Google Scholar 

  18. Mohr, D.C., Schueller, S.M., Montague, E., Burns, M.N., Rashidi, P.: The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions. J. Med. Internet Res. 16, e146 (2014)

    Article  Google Scholar 

  19. Nahum-Shani, I., Hekler, E.B., Spruijt-Metz, D.: Building health behavior models to guide the development of just-in-time adaptive interventions: a pragmatic framework. Health Psychol. 34, 1209–1219 (2015)

    Article  Google Scholar 

  20. Nahum-Shani, I., et al.: Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann. Behav. Med. 52, 446–462 (2018)

    Article  Google Scholar 

  21. Dhinagaran, D.A., et al.: Designing, developing, evaluating, and implementing a smartphone-delivered, rule-based conversational agent (DISCOVER): development of a conceptual framework. JMIR MHealth UHealth 10, e38740 (2022)

    Article  Google Scholar 

  22. Baumel, A., Fleming, T., Schueller, S.M.: Digital micro interventions for behavioral and mental health gains: core components and conceptualization of digital micro intervention care. J. Med. Internet Res. 22, e20631 (2020)

    Article  Google Scholar 

  23. Zhang, C., Lakens, D., IJsselsteijn, W.A.: Theory integration for lifestyle behavior change in the digital age: an adaptive decision-making framework. J. Med. Internet Res. 23, e17127 (2021)

    Article  Google Scholar 

  24. op den Akker, H., Cabrita, M., op den Akker, R., Jones, V.M., Hermens, H.J.: Tailored motivational message generation: a model and practical framework for real-time physical activity coaching. J. Biomed. Inform. 55, 104–115 (2015)

    Google Scholar 

  25. Beristain Iraola, A., et al.: User centered virtual coaching for older adults at home using SMART goal plans and I-change model. Int. J. Environ. Res. Public Health 18, 6868 (2021)

    Article  Google Scholar 

  26. Taj, F., Klein, M.C.A., van Halteren, A.: Digital health behavior change technology: bibliometric and scoping review of two decades of research. JMIR MHealth UHealth. 7, e13311 (2019)

    Article  Google Scholar 

  27. Seeger, A.-M., Pfeiffer, J., Heinzl, A.: Texting with human-like conversational agents: designing for anthropomorphism. J. Assoc. Inf. Syst. JAIS 22(4), 8 (2020)

    Google Scholar 

  28. Feine, J., Gnewuch, U., Morana, S., Maedche, A.: A taxonomy of social cues for conversational agents. Int. J. Hum.-Comput. Stud. 132, 138–161 (2019)

    Article  Google Scholar 

  29. Philipp, P., Merkle, N., Gand, K., Gißke, C.: Continuous support for rehabilitation using machine learning. it-Inf. Technol. 61, 273–284 (2019)

    Google Scholar 

  30. Batoulis, K., Meyer, A., Bazhenova, E., Decker, G., Weske, M.: Extracting decision logic from process models. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 349–366. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19069-3_22

    Chapter  Google Scholar 

  31. Janssens, L., Bazhenova, E., De Smedt, J., Vanthienen, J., Denecker, M.: Consistent integration of decision (DMN) and process (BPMN) models. In: CAiSE Forum, pp. 121–128. Citeseer (2016)

    Google Scholar 

  32. Skou, S.T., et al.: Multimorbidity. Nat. Rev. Dis. Primer. 8, 48 (2022)

    Google Scholar 

  33. Weimann, T., Schlieter, H., Fischer, M.: Designing an avatar-based virtual coach for obesity patients. In: Chandra Kruse, L., Seidel, S., Hausvik, G.I. (eds.) The Next Wave of Sociotechnical Design, pp. 52–57. Springer, Cham (2021)

    Chapter  Google Scholar 

  34. Liu, S., La, H., Willms, A., Rhodes, R.E.: A “No-Code” app design platform for mobile health research: development and usability study. JMIR Form. Res. 6, e38737 (2022)

    Article  Google Scholar 

  35. Pelly, M., Fatehi, F., Liew, D., Verdejo-Garcia, A.: Novel behaviour change frameworks for digital health interventions: a critical review. J. Health Psychol. 28, 970–983 (2023). https://doi.org/10.1177/13591053231164499

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Weimann, T.G. (2024). Paving the Way for the Low-/No-Code Development of Digital Therapeutics: The DTxTAPP Framework. In: Sales, T.P., de Kinderen, S., Proper, H.A., Pufahl, L., Karastoyanova, D., van Sinderen, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2023 Workshops . EDOC 2023. Lecture Notes in Business Information Processing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-031-54712-6_16

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  • DOI: https://doi.org/10.1007/978-3-031-54712-6_16

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