Publicação
Conversational agents for pharmaceutical use: insights from the eCCo database
| dc.contributor.author | Guerreiro, Mara Pereira | |
| dc.contributor.author | Henriques, Helga Rafael | |
| dc.contributor.author | Mugellini, Elena | |
| dc.contributor.author | Angelini, Leonardo | |
| dc.date.accessioned | 2026-03-27T11:38:16Z | |
| dc.date.available | 2026-03-27T11:38:16Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Conversational agents are computer programmes designed to replicate bidirectional human conversation through spoken or written language, potentially supplemented with nonverbal features. The eCCo database is a searchable repository of primary studies on conversational agents in health and well-being. It catalogs 657 papers currently, published between 1991 and 2022; 51 address the use of medicines. Most of these papers focus on usability rather than rigorous effectiveness or implementation research, underscoring a need for more robust evaluation. The largest category of conversational agents for pharmaceutical use consists of non-embodied agents (n = 24), followed by virtual embodiment only (n = 19), most using virtual humans (n = 16). This database facilitates the comparison and appraisal of existing research in this field, while contributing to a more nuanced understanding of this technology through multidimensional attributes. We aim to enhance the database accuracy and expand its completeness beyond 2022 with the support of the global research community. | eng |
| dc.identifier.citation | Guerreiro, M. P., Henriques, H. R., Mugellini, E., & Angelini, L. (2025). Conversational agents for pharmaceutical use: insights from the eCCo database. International Journal of Clinical Pharmacy, 47(4), 1114–1119. https://doi.org/10.1007/s11096-025-01948-6 | |
| dc.identifier.doi | 10.1007/s11096-025-01948-6 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/62522 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| dc.relation.hasversion | https://link.springer.com/article/10.1007/s11096-025-01948-6 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial intelligence | |
| dc.subject | Conversational agents | |
| dc.subject | Digital health | |
| dc.subject | Medication adherence | |
| dc.subject | Self-management | |
| dc.subject | Virtual humans | |
| dc.title | Conversational agents for pharmaceutical use: insights from the eCCo database | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1119 | |
| oaire.citation.startPage | 1114 | |
| oaire.citation.title | International Journal of Clinical Pharmacy | |
| oaire.citation.volume | 47 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Pereira Guerreiro | |
| person.familyName | Rafael Henriques | |
| person.familyName | Mugellini | |
| person.familyName | Angelini | |
| person.givenName | Mara | |
| person.givenName | Helga Marília da Silva | |
| person.givenName | Elena | |
| person.givenName | Leonardo | |
| person.identifier.ciencia-id | 0215-E33A-E740 | |
| person.identifier.ciencia-id | 8612-1513-A5A8 | |
| person.identifier.orcid | 0000-0001-8192-6080 | |
| person.identifier.orcid | 0000-0003-2946-4485 | |
| person.identifier.orcid | 0000-0002-0775-0862 | |
| person.identifier.orcid | 0000-0002-8802-5282 | |
| relation.isAuthorOfPublication | 08f15c7a-f01c-4937-98df-8f191ff1e66d | |
| relation.isAuthorOfPublication | 8b8d2679-d467-4f9d-953b-c3a27507b471 | |
| relation.isAuthorOfPublication | 9f468d10-fd6f-4734-b401-d10c583cd340 | |
| relation.isAuthorOfPublication | e4238392-413c-4105-9b36-7e690f32c3cd | |
| relation.isAuthorOfPublication.latestForDiscovery | e4238392-413c-4105-9b36-7e690f32c3cd |
