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.
Healthcare Conversational Agents: Chatbot for Improving Patient-Reported Outcomes
Fenza G.;Orciuoli F.;Peduto A.;Postiglione A.
2023-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
