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Hospital Geral de Santo António
- Porto, Portugal
Resident physician - general internship
- resident medical doctor
- general medical internship in internal medicine, surgery, pediatrics, obstetrics, family medicine, emergency medicine
Medical Doctor, consultant anesthesiologist and intensivist.
Skills in data science, python programming, AI agents and databases - sqlite, pgresql, mongoDB.
Currently working with critically ill burn patients.
Ongoing master's thesis on microlearning in healthcare.
| Listening | Reading | Spoken interaction | Spoken production | Writing | ||
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English |
C2:
Proficient user
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C2:
Proficient user
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C2:
Proficient user
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C2:
Proficient user
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C2:
Proficient user
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Spanish |
C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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Swedish |
C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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C1:
Proficient user
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French |
C1:
Proficient user
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C1:
Proficient user
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B2:
Independent user
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B2:
Independent user
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B2:
Independent user
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Italian |
C1:
Proficient user
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C1:
Proficient user
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B2:
Independent user
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B2:
Independent user
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B1:
Independent user
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German |
B2:
Independent user
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B2:
Independent user
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B2:
Independent user
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B2:
Independent user
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B1:
Independent user
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ISBN: 9789728426378
Ano de edição: 04-2001
Editor: Edições Centro Atlântico
Idioma: Português
Dimensões: 151 x 230 x 9 mm
Encadernação: Capa mole
Páginas: 208
XXX Congresso Anual CAR & 2nd World Day of
Regional Anaesthesia & Pain Medicine
Speaker at the XXX Congresso Anual CAR & 2nd World Day of Regional
Anaesthesia & Pain Medicine
Even if English is the leading language for international communication, it is essential to keep in mind that research runs at the local level by local teams generally communicating in their local/national language, especially in Europe among European projects.
Therefore, the European Federation for Medical Informatics - Working Group on Health Informatics for Inter-regional Cooperation” has one objective: To develop a multilingual ontology focusing on Health Informatics and Digital Health as a collaboration tool that improves international and, in particular, European collaborations.
We have developed the Medical Informatics and Digital Health Multilingual Ontology (MIMO). Hosted on the Health Terminology/Ontology Portal (HeTOP), MIMO contains around 1,000 concepts, 460 MeSH Descriptors, 220 MeSH Concepts, and more than 300 newly created concepts. MIMO is continuously updated to comprise as recent as possible concepts and their translations in more than 30 languages. Moreover, the MIMO’s development team constantly improves MIMO content and supporting information. Thus, during workshop discussions and one-on-one exchanges, the MIMO team has collected domain experts’ opinions about the community’s interests and suggestions for future enhancements. Moreover, MIMO will be integrated to support the annotation and categorization of research products into the HosmartAI European project involving more than 20 countries around Europe and worldwide.
MIMO is hosted by HeTOP (Health Terminology/Ontology Portal), which integrates 100 terminologies and ontologies in 55 languages. MIMO is freely available online. MIMO is portable to other knowledge platforms as part of MIMO’s main aims to facilitate communication between medical librarians, translators, and researchers as well as to support students’ self-learning.
Limited information exists about the epidemiology, recognition, management, and outcomes of patients with the acute respiratory distress syndrome (ARDS).To evaluate intensive care unit (ICU) incidence and outcome of ARDS and to assess clinician recognition, ventilation management, and use of adjuncts—for example prone positioning—in routine clinical practice for patients fulfilling the ARDS Berlin Definition.The Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE) was an international, multicenter, prospective cohort study of patients undergoing invasive or noninvasive ventilation, conducted during 4 consecutive weeks in the winter of 2014 in a convenience sample of 459 ICUs from 50 countries across 5 continents.Acute respiratory distress syndrome.The primary outcome was ICU incidence of ARDS. Secondary outcomes included assessment of clinician recognition of ARDS, the application of ventilatory management, the use of adjunctive interventions in routine clinical practice, and clinical outcomes from ARDS.Of 29 144 patients admitted to participating ICUs, 3022 (10.4%) fulfilled ARDS criteria. Of these, 2377 patients developed ARDS in the first 48 hours and whose respiratory failure was managed with invasive mechanical ventilation. The period prevalence of mild ARDS was 30.0% (95% CI, 28.2%-31.9%); of moderate ARDS, 46.6% (95% CI, 44.5%-48.6%); and of severe ARDS, 23.4% (95% CI, 21.7%-25.2%). ARDS represented 0.42 cases per ICU bed over 4 weeks and represented 10.4% (95% CI, 10.0%-10.7%) of ICU admissions and 23.4% of patients requiring mechanical ventilation. Clinical recognition of ARDS ranged from 51.3% (95% CI, 47.5%-55.0%) in mild to 78.5% (95% CI, 74.8%-81.8%) in severe ARDS. Less than two-thirds of patients with ARDS received a tidal volume 8 of mL/kg or less of predicted body weight. Plateau pressure was measured in 40.1% (95% CI, 38.2-42.1), whereas 82.6% (95% CI, 81.0%-84.1%) received a positive end-expository pressure (PEEP) of less than 12 cm H2O. Prone positioning was used in 16.3% (95% CI, 13.7%-19.2%) of patients with severe ARDS. Clinician recognition of ARDS was associated with higher PEEP, greater use of neuromuscular blockade, and prone positioning. Hospital mortality was 34.9% (95% CI, 31.4%-38.5%) for those with mild, 40.3% (95% CI, 37.4%-43.3%) for those with moderate, and 46.1% (95% CI, 41.9%-50.4%) for those with severe ARDS.Among ICUs in 50 countries, the period prevalence of ARDS was 10.4% of ICU admissions. This syndrome appeared to be underrecognized and undertreated and associated with a high mortality rate. These findings indicate the potential for improvement in the management of patients with ARDS.clinicaltrials.gov Identifier: NCT02010073