Health Informatics Applied to Nursing
Data, information systems, and digital technologies applied to research, professional practice, decision-making, and projects in the Professional Doctorate in Nursing.
Session times, the room for in-person sessions, and the platform for online sessions will be confirmed by the instructors.
- Term
- 2026.2
- Class
- Single section
- Instructors
- Bianca Dargam Gomes Vieira · Flávio Luiz Seixas
- Schedule
- August 10 and 11 (in person); August 20 and 27 and September 3 (online); times to be confirmed
- Room
- To be confirmed
- Course hours
- 30 horas
- Virtual environment
- To be confirmed
Overview
This course connects health informatics and nursing informatics to support research, professional practice, decision-making, and project development in the Professional Doctorate in Nursing. The pathway starts with the problem and the data, moves through systems, interoperability, connected care, and artificial intelligence, and concludes with responsible implementation and governance.
Objective
Develop the ability to decide when, why, which, and how to use—or not use—data, information systems, and digital technologies to improve research, professional practice, decision-making, and projects in the Professional Doctorate in Nursing, with critical evaluation, safety, ethics, equity, and accountability.
Syllabus
- Problems, data, decisions, and Health Informatics: data, information, knowledge, a sociotechnical lens, and problem-driven technology selection.
- Data and tools for research and decision-making: life cycle, quality, documentation, protection, collection, analysis, visualization, and reference management.
- Information systems, RNDS, terminologies, and interoperability: electronic health records, meaning, provenance, security, and continuity.
- Technology applied to professional projects and connected care: telehealth, telenursing, mHealth, remote monitoring, accessibility, and equity.
- Critical AI applied to doctoral work and practice: uses, privacy, authorship, verification, bias, oversight, and usage protocols.
- Integration, implementation, and governable decisions: alternatives, responsibilities, indicators, monitoring, and review criteria.
Full calendar
- Lecture
- Lecture
- Lecture
- Lecture
- Lecture
Assessment
The proposed assessment combines preparation and participation, cumulative artifacts, guided readings, and a decision brief with a final presentation. Weights, deadlines, and institutional criteria will be confirmed by the instructors.
Materials
References
- BRASIL. Lei nº 13.709, de 14 de agosto de 2018. Lei Geral de Proteção de Dados Pessoais (LGPD). Brasília, DF: Presidência da República, 2018. Disponível em: https://www.planalto.gov.br/ccivil_03/_ato2015-2018/2018/lei/l13709.htm. Acesso em: 5 out. 2026.
- COHEN, Trevor A.; PATEL, Vimla L.; SHORTLIFFE, Edward H. (ed.). Intelligent systems in medicine and health: the role of AI. Cham: Springer, 2022.
- HARDY, Lynda R. Health informatics: an interprofessional approach. 3. ed. St. Louis: Elsevier, 2023.
- HEBDA, Toni Lee; CZAR, Patricia. Handbook of informatics for nurses & healthcare professionals. 5. ed. Boston: Pearson, 2013.
- SHORTLIFFE, Edward H.; CIMINO, James J. (ed.). Biomedical informatics: computer applications in health care and biomedicine. 5. ed. Cham: Springer, 2021.
- WORLD HEALTH ORGANIZATION. Ethics and governance of artificial intelligence for health: WHO guidance. Geneva: World Health Organization, 2021. Disponível em: https://www.who.int/publications/i/item/9789240029200. Acesso em: 5 out. 2026.