2025
Clinical Teaching V - Nursing Care Process in an Optional Context
Name: Clinical Teaching V - Nursing Care Process in an Optional Context
Code: ENF14476L
30 ECTS
Duration: 15 weeks/780 hours
Scientific Area:
Nursing
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Presentation
The Curricular Unit allows the development of skills in the process of caring for sick or healthy people at different times in their life cycle and in different contexts.
Sustainable Development Goals
Learning Goals
Develop the care process for sick or healthy people at different times in their life cycle and different contexts.
Assume the different functions inherent in the care process.
Sustain conceptually and empirically the care provided at each stage of the process and in each context.
Demonstrate metacognitive skills that contribute to critical thinking at the service of the care process and personal and professional development.
Prepare an internship report in an optional area linked to the context of Clinical Teaching.
Assume the different functions inherent in the care process.
Sustain conceptually and empirically the care provided at each stage of the process and in each context.
Demonstrate metacognitive skills that contribute to critical thinking at the service of the care process and personal and professional development.
Prepare an internship report in an optional area linked to the context of Clinical Teaching.
Contents
Care planning with prescription of specific therapeutic interventions
o Provision of care according to plan and with the evolution of the situation
o Assessment of health outcomes
Functions inherent to the care process:
o Help function
o Education and guide function
o Patient diagnosis and surveillance function
o Effective management of rapidly evolving situations
o Administration and surveillance of therapeutic protocols
o Surveillance of the quality of care
o Organization and distribution of tasks
Critical and reflective analysis
Preparation of internship report
o Provision of care according to plan and with the evolution of the situation
o Assessment of health outcomes
Functions inherent to the care process:
o Help function
o Education and guide function
o Patient diagnosis and surveillance function
o Effective management of rapidly evolving situations
o Administration and surveillance of therapeutic protocols
o Surveillance of the quality of care
o Organization and distribution of tasks
Critical and reflective analysis
Preparation of internship report
Teaching Methods
Skills consolidation is grounded in the clinical reasoning process. Once the student has mastered clinical reasoning, they should be able to operationalise, in an integrated manner, each phase involved in the development of the nursing care process. The methodological strategies include supervision, guidance, discussion and analysis of care processes, as well as seminars.
Students undertake Clinical Placement in clinical settings, preferably those holding recognised training suitability by the Portuguese Nursing Council (Ordem dos Enfermeiros), and are supervised by Clinical Supervisor Nurses, preferably with competencies in clinical supervision.
The pedagogical methodology used in this Course Unit includes the use of advanced technological resources, namely digital environments and technological platforms applied to education and simulation.
In this course unit, the use of Artificial Intelligence (AI) tools is permitted to support studying, idea systematisation, synthesis and organisation of the literature, and support for scientific writing/linguistic proofreading. At no time may AI replace the student?s own cognitive process. The use of AI must comply with the principles of academic integrity, professional responsibility, and clinical safety, in accordance with the institutional framework for the use of AI in Higher Education (ORDER No. 34/2026 ? Framework for the use of Artificial Intelligence (AI) in the teaching, assessment and learning process at the University of Évora).
Accordingly, the following are considered unacceptable uses:
Generating complex clinical responses and/or nursing diagnoses;
Producing complete clinical case analyses without the student?s own cognitive process;
Entering clinical/personal or confidential data into AI tools;
Submitting texts/assignments entirely generated by AI;
Fabricating references or citations without verification.
Any improper use will be treated as academic fraud under Article 119 of the Academic Regulations (Code of conduct, fraud and plagiarism).
Whenever AI is used in assessed work, a declaration must be included:
?For the preparation of this work, the tool (name) was used for (purpose). All content was critically reviewed by the author, who assumes final responsibility.?
Students undertake Clinical Placement in clinical settings, preferably those holding recognised training suitability by the Portuguese Nursing Council (Ordem dos Enfermeiros), and are supervised by Clinical Supervisor Nurses, preferably with competencies in clinical supervision.
The pedagogical methodology used in this Course Unit includes the use of advanced technological resources, namely digital environments and technological platforms applied to education and simulation.
In this course unit, the use of Artificial Intelligence (AI) tools is permitted to support studying, idea systematisation, synthesis and organisation of the literature, and support for scientific writing/linguistic proofreading. At no time may AI replace the student?s own cognitive process. The use of AI must comply with the principles of academic integrity, professional responsibility, and clinical safety, in accordance with the institutional framework for the use of AI in Higher Education (ORDER No. 34/2026 ? Framework for the use of Artificial Intelligence (AI) in the teaching, assessment and learning process at the University of Évora).
Accordingly, the following are considered unacceptable uses:
Generating complex clinical responses and/or nursing diagnoses;
Producing complete clinical case analyses without the student?s own cognitive process;
Entering clinical/personal or confidential data into AI tools;
Submitting texts/assignments entirely generated by AI;
Fabricating references or citations without verification.
Any improper use will be treated as academic fraud under Article 119 of the Academic Regulations (Code of conduct, fraud and plagiarism).
Whenever AI is used in assessed work, a declaration must be included:
?For the preparation of this work, the tool (name) was used for (purpose). All content was critically reviewed by the author, who assumes final responsibility.?
Assessment
Assessment is continuous. The clinical component corresponds to 70% of the final grade.
The conceptual component corresponds to 30% of the final grade and includes:
? a case report based on a Clinical Case/Family Study (15%);
? the Internship Report (15%).
Assessment of the seminars will be carried out through a chapter of the Report.
Each component will be evaluated using its own assessment instruments.
The conceptual component corresponds to 30% of the final grade and includes:
? a case report based on a Clinical Case/Family Study (15%);
? the Internship Report (15%).
Assessment of the seminars will be carried out through a chapter of the Report.
Each component will be evaluated using its own assessment instruments.
Teaching Staff
- Ana Cristina Canhoto Ferrão
- Ana Maria Guégués da Silva Dias
- Cátia Sofia Ferrão Ganito
- César João Vicente da Fonseca
- Cláudia Sofia Orvalho Mendes Gonçalves Carvalho
- Ermelinda do Carmo Valente Caldeira
- Florbela Maria Marmou Bia
- Isaura da Conceição Cascalho Serra
- José Manuel Afonso Moreira
- Lucinda Maria da Silva Marques
- Maria Antónia Fernandes Caeiro Chora
- Maria Dulce Damas da Cruz
- Maria João Revés Mendes Silva
- Maria José Abrantes Bule
- Maria Laurência Grou Parreirinha Gemito
- Maria Margarida Palma Goes
- Maria Otília Brites Zangão
- Marta Sofia Inácio Catarino [responsible]
- Paula Cristina Vaqueirinho Bilro
- Rute Isabel Quadrado Pires
- Susana Isabel do Vale Martins Soeiro Delgadinho
- Telmo Duarte Canelas Pequito
