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Role of a digital tool in preoperative lung resection surgery assessment
The assessment of patients likely to undergo lung resection surgery is a multidisciplinary approach involving pulmonologists, surgeons and anaesthesiologists. In thoracic surgery, medical operability is also a calculation of postoperative lung function. A mobile application – PreParAPP MSD – to calc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836304/ https://www.ncbi.nlm.nih.gov/pubmed/31723435 http://dx.doi.org/10.1177/2055207619885783 |
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author | Rispoli, Marco Perrotta, Fabio Buono, Salvatore Corcione, Antonio |
author_facet | Rispoli, Marco Perrotta, Fabio Buono, Salvatore Corcione, Antonio |
author_sort | Rispoli, Marco |
collection | PubMed |
description | The assessment of patients likely to undergo lung resection surgery is a multidisciplinary approach involving pulmonologists, surgeons and anaesthesiologists. In thoracic surgery, medical operability is also a calculation of postoperative lung function. A mobile application – PreParAPP MSD – to calculate postoperative lung function has been developed with the endorsement of the Italian Society of Anaesthesia, Analgesia and Intensive Care and with the unconditional support of MSD Italia. Thanks to a simple graphic interface, the calculation becomes fast and intuitive, while the possibility of storing and sharing data in an analytical and computerised way with other clinicians might help with the full assessment of patients without forcing them to undergo several medical examinations. These simple calculated parameters are performed by a minority of clinicians, generally anaesthesiologists. In our facility, there is a team involved in the perioperative evaluation of lung resection surgery (13 pulmonologists, 9 surgeons and 5 anaesthesiologists). In order to evaluate the possible Awareness towards postoperative lung function calculation better, we organised an internal survey with 27 clinicians who are members of such a team before and after the introduction of the PreParAPP MSD. It was found that after the introduction of PreParAPP MSD, the percentage of clinicians involved in postoperative lung function calculation rose from 18% to 70%. The implementation of a digital tool may help to improve guideline adherence, in accordance with other experiences in which such tools represented the start for various quality improvement purposes throughout the medical field. |
format | Online Article Text |
id | pubmed-6836304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-68363042019-11-13 Role of a digital tool in preoperative lung resection surgery assessment Rispoli, Marco Perrotta, Fabio Buono, Salvatore Corcione, Antonio Digit Health Original Research The assessment of patients likely to undergo lung resection surgery is a multidisciplinary approach involving pulmonologists, surgeons and anaesthesiologists. In thoracic surgery, medical operability is also a calculation of postoperative lung function. A mobile application – PreParAPP MSD – to calculate postoperative lung function has been developed with the endorsement of the Italian Society of Anaesthesia, Analgesia and Intensive Care and with the unconditional support of MSD Italia. Thanks to a simple graphic interface, the calculation becomes fast and intuitive, while the possibility of storing and sharing data in an analytical and computerised way with other clinicians might help with the full assessment of patients without forcing them to undergo several medical examinations. These simple calculated parameters are performed by a minority of clinicians, generally anaesthesiologists. In our facility, there is a team involved in the perioperative evaluation of lung resection surgery (13 pulmonologists, 9 surgeons and 5 anaesthesiologists). In order to evaluate the possible Awareness towards postoperative lung function calculation better, we organised an internal survey with 27 clinicians who are members of such a team before and after the introduction of the PreParAPP MSD. It was found that after the introduction of PreParAPP MSD, the percentage of clinicians involved in postoperative lung function calculation rose from 18% to 70%. The implementation of a digital tool may help to improve guideline adherence, in accordance with other experiences in which such tools represented the start for various quality improvement purposes throughout the medical field. SAGE Publications 2019-11-05 /pmc/articles/PMC6836304/ /pubmed/31723435 http://dx.doi.org/10.1177/2055207619885783 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Rispoli, Marco Perrotta, Fabio Buono, Salvatore Corcione, Antonio Role of a digital tool in preoperative lung resection surgery assessment |
title | Role of a digital tool in preoperative lung resection surgery assessment |
title_full | Role of a digital tool in preoperative lung resection surgery assessment |
title_fullStr | Role of a digital tool in preoperative lung resection surgery assessment |
title_full_unstemmed | Role of a digital tool in preoperative lung resection surgery assessment |
title_short | Role of a digital tool in preoperative lung resection surgery assessment |
title_sort | role of a digital tool in preoperative lung resection surgery assessment |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6836304/ https://www.ncbi.nlm.nih.gov/pubmed/31723435 http://dx.doi.org/10.1177/2055207619885783 |
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