Abstract
The patient’s lack of adherence to the doctor’s prescriptions limits the favorable effects that the optimal prescribed treatments have on the disease. Adherence to therapy can be measured by various methods, including self-assessment questionnaires (structured interviews) and electronic devices. The Patient Report Outcomes are derived from the self-assessment questionnaires. When implementing an effective patient-centered care strategy, clinicians must keep track of Patient Report Outcomes over time. The patient-reported outcomes are effective tools to better understand a patient’s health conditions, goals, and specific factors related to his care. Conversational Agents are receiving increasing attention in healthcare and academia, but they are still little used to collect data. This paper describes how a conversational agent can intervene in the collection of data carried out directly by the patient and not by the doctor, using patient-reported outcomes and their electronic version. In the case study, the chatbot created with Dialogflow encourages patients to follow their therapy and report all the treatment’s effects.
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
Notes
- 1.
- 2.
- 3.
PCORI is the leading founder of patient-centered comparative clinical effectiveness research in the United States.
- 4.
Webhooks are services that host your business logic.
References
Ahmad, N.K., Che, M.H., Zainal, A., Rauf, M.F.A., Adnan, Z.: Review of chatbots design techniques. Int. J. Comput. Appl. 181(8), 7–10 (2018)
Austin, E., LeRouge, C., Hartzler, A.L., Chung, A.E., Segal, C., Lavallee, D.C.: Opportunities and challenges to advance the use of electronic patient-reported outcomes in clinical care: a report from amia workshop proceedings. JAMIA Open 2(4), 407–410 (2019)
Benson, T., Grieve, G.: Principles of Health Interoperability: SNOMED CT, HL7 and FHIR. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-30370-3
Bibault, J.-E., Chaix, B., Nectoux, P., Pienkowski, A., Guillemasé, A., Brouard, B.: Healthcare ex machina: are conversational agents ready for prime time in oncology? Clin. Transl. Radiat. Oncology 16, 55–59 (2019)
Boyce, M.B., Browne, J.P., Greenhalgh, J.: The experiences of professionals with using information from patient-reported outcome measures to improve the quality of healthcare: a systematic review of qualitative research. BMJ Qual. Saf. 23(6), 508–518 (2014)
Cheung, Y.T., et al.: The use of patient-reported outcomes in routine cancer care: preliminary insights from a multinational scoping survey of oncology practitioners. Support. Care Cancer 30(2), 1427–1439 (2022)
Ciani, O., Federici, C.B.: Value lies in the eye of the patients: the why, what, and how of patient-reported outcomes measures. Clin. Therap. 42(1), 25–33 (2020)
Eton, D.T., et al.: Harmonizing and consolidating the measurement of patient-reported information at health care institutions: a position statement of the mayo clinic. Pat. Related Outcome Meas. 5, 7 (2014)
Fadhil, A., Gabrielli, S.: Addressing challenges in promoting healthy lifestyles: the al-chatbot approach. In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 261–265 (2017)
Jensen, R.E., Gummerson, S.P., Chung, A.E.: Overview of patient-facing systems in patient-reported outcomes collection: focus and design in cancer care. J. Oncol. Pract. 12(10), 873 (2016)
Jin, J., Sklar, G.E., Oh, V.M.S., Li, S.C.: Factors affecting therapeutic compliance: a review from the patient’s perspective. Therap. Clin. Risk Manag. 4(1), 269 (2008)
Kadariya, D., Venkataramanan, R., Yip, H.Y., Kalra, M., Thirunarayanan, K., Sheth, A.: KBOT: knowledge-enabled personalized chatbot for asthma self-management. In: 2019 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 138–143. IEEE (2019)
Lee, D.H.: A model for designing healthcare service based on the patient experience. Int. J. Healthcare Manag. 12(3), 180–188 (2019)
Lucas, G.M., Gratch, J., King, A., Morency, L.P.: It’s only a computer: virtual humans increase willingness to disclose. Comput. Human Behav. 37, 94–100 (2014)
Nguyen, H., Butow, P., Dhillon, H., Sundaresan, P.: A review of the barriers to using patient-reported outcomes (pros) and patient-reported outcome measures (proms) in routine cancer care. J. Med. Radiat. Sci. 68(2), 186–195 (2021)
Ni, L., Lu, C., Liu, N., Liu, J.: MANDY: towards a smart primary care chatbot application. In: Chen, J., Theeramunkong, T., Supnithi, T., Tang, X. (eds.) KSS 2017. CCIS, vol. 780, pp. 38–52. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-6989-5_4
Seitz, L., Bekmeier-Feuerhahn, S., Gohil, K.: Can we trust a chatbot like a physician? a qualitative study on understanding the emergence of trust toward diagnostic chatbots. Int. J. Human-Comput. Stud. 165, 102848 (2022)
Snyder, C., Wu, A.W.: Users’ Guide to Integrating Patient-Reported Outcomes in Electronic Health Records. John Hopkins University, Baltimore (2017)
Zahour, O., El Habib Benlahmar, A.E., Ouchra, H., Hourrane, O.: Towards a chatbot for educational and vocational guidance in morocco: chatbot e-orientation. Int. J. 9(2) (2020)
Acknowledgement
This research was partially supported by MIUR (Ministero dell’Istruzione dell’Universitá e della Ricerca) under the national program PON 2014–2020, I.CARE.ME (ID ARS01_00707) research project in the area of digital healthcare.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Fenza, G., Orciuoli, F., Peduto, A., Postiglione, A. (2023). Healthcare Conversational Agents: Chatbot for Improving Patient-Reported Outcomes. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-031-29056-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-29056-5_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-29055-8
Online ISBN: 978-3-031-29056-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)