Publication
Pulmonary Rehabilitation Guideline Referral in COPD - a FHIR mapping proposal
datacite.subject.fos | Ciências Médicas::Ciências da Saúde | |
datacite.subject.sdg | 03:Saúde de Qualidade | |
dc.contributor.author | Hipólito, Nádia | |
dc.contributor.author | Jácome, Cristina | |
dc.contributor.author | Almeida, Rute | |
dc.contributor.author | Vieira-Marques, Pedro | |
dc.date.accessioned | 2025-09-29T15:18:48Z | |
dc.date.available | 2025-09-29T15:18:48Z | |
dc.date.issued | 2025-01 | |
dc.description | Part of special issue: CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies. | |
dc.description | Conference name: 16th International Conference on ENTERprise Information Systems, CENTERIS 2024 - 12th International Conference on Project MANagement, ProjMAN 2024 - 14th International Conference on Health and Social Care Information Systems and Technologies, HCist 2024 | |
dc.description | Conference city: Funchal, Madeira, Portugal Conference date: 13 November 2024 - 15 November 2024 | |
dc.description.abstract | Chronic Obstructive Pulmonary Disease (COPD) is a highly prevalent progressive respiratory disease, characterized by airflow limitation, respiratory symptoms, and exercise intolerance, which greatly impacts patient’s daily life. Pulmonary Rehabilitation (PR) is a well-recognized, cost-effective, and safe intervention with known benefits, recommended by COPD management guidelines. Despite this, there is a potential sub-diagnosis of the condition and low access rates to PR in the COPD population. Reasons may include a lack of detailed knowledge about how to refer potential patients to PR and the lack of specific criteria for the referral. Information about the patient’sstatus and available services also plays a vital role in referrals. Additionally, there is high heterogeneity of outcomes and measures reported in the literature for PR, hindering the benchmark and dissemination of its efficacy and evidence synthesis; it also prevents communication and inter-institutional and international work. Thus, improving information availability and flow can facilitate a more efficient process. This study aims to develop an interoperable digital protocol for PR referral, to support healthcare professionals in the datacollection and referral process, making the process simpler and more efficient while also contributing to a transparent and coherent interinstitutional data exchange and continuous workflow. The variables and associatedoutcomes recommended by the Portuguese General Health Direction (Direção Geral da Saúde, DGS) in the standard 014/2019 regarding PR programs referral in primary care were described and translated to the HL7-FHIR health datastandard. The flow of the protocol was also presented. This work aims to contribute to facilitating the process of PR referral by proposing a FHIR-based approach for describing relevant information and the decision-making process for PR referral, aiming to contribute for the support of health professionals in the referral decision-making process in primary care, making it simpler and more efficient while also contributing to inter-institutional workflow articulation and information availability. | eng |
dc.description.sponsorship | Acknowledgements :This work is supported by Aviso2022-C05i0101-02 Agendas/Alianças mobilizadoras para a reindustrialização, Projeto nº C630926586-00465198.NHipólitois funded by Fundação para a Ciência e Tecnologia932 Nádia Hipólito et al. / Procedia Computer Science 256 (2025) 925–932 10.54499/2021.05188.BD.R Almeida is funded by the “FCT Scientific Employment Stimulus –Institutional Call” (CEECINST/00056/2021). | |
dc.identifier.citation | Hipólito, Nádia & Jácome, Cristina & Almeida, Rute & Vieira-Marques, Pedro. (2025). Pulmonary Rehabilitation Guideline Referral in COPD – a FHIR mapping proposal. Procedia Computer Science. 256. 925-932. 10.1016/j.procs.2025.02.196. | |
dc.identifier.doi | 10.1016/j.procs.2025.02.196 | |
dc.identifier.eissn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/14146 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | Elsevier | |
dc.relation | moveUP! Upgrading a mHealth app for personalized physical activity coaching within pulmonary rehabilitation in COPD | |
dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S1877050925005575?via%3Dihub | |
dc.relation.ispartof | Procedia Computer Science | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | COPD | |
dc.subject | FHIR | |
dc.subject | Pulmonary rehabilitation referral | |
dc.subject | Health informatics | |
dc.title | Pulmonary Rehabilitation Guideline Referral in COPD - a FHIR mapping proposal | eng |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | moveUP! Upgrading a mHealth app for personalized physical activity coaching within pulmonary rehabilitation in COPD | |
oaire.awardURI | http://hdl.handle.net/10400.8/14145 | |
oaire.citation.endPage | 932 | |
oaire.citation.startPage | 925 | |
oaire.citation.title | Procedia Computer Science | |
oaire.citation.volume | 256 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | Hipólito | |
person.givenName | Nádia | |
person.identifier.ciencia-id | 161D-76B4-3740 | |
person.identifier.orcid | 0000-0003-1796-6218 | |
relation.isAuthorOfPublication | 19bb0257-324b-4231-8fcb-b4b5655427c6 | |
relation.isAuthorOfPublication.latestForDiscovery | 19bb0257-324b-4231-8fcb-b4b5655427c6 | |
relation.isProjectOfPublication | b7d1b3a8-f886-4972-8113-a9b371cbb60f | |
relation.isProjectOfPublication.latestForDiscovery | b7d1b3a8-f886-4972-8113-a9b371cbb60f |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Pulmonary Rehabilitation Guideline Referral in COPD-A FHIR mapping proposal.pdf
- Size:
- 867.1 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.32 KB
- Format:
- Item-specific license agreed upon to submission
- Description: