Tamara G R Macieira, PhD, RN

Dr. Macieira is currently accepting predoctoral students and postdoctoral trainees.

MENTORSHIP

As a mentor, Dr. Macieira’s primary goal is to provide guidance and support for her mentees, enabling them to identify their talents and passions, build on them, and achieve their professional and personal goals. To most effectively accomplish this goal, she creates a safe environment in which her mentees feel that it is acceptable to fail and learn, think critically and creatively, and foster a culture of feedback. She makes herself available to her mentees, develops a relationship founded on mutual respect, and tailors her mentoring approach to each mentee’s individual needs, learning styles, and goals. She also facilitates and encourages her mentees to build a diverse professional network including individuals from different backgrounds, disciplines, and perspectives. She expects her mentees to be invested in their own success and be self-motivated. Thus, they should have accountability and ownership of their work, follow through with deadlines and planned activities, be productive, and ask for help when needed. She strives for her mentoring relationships to be honest, highly communicative, and enjoyable. Finally, she is looking for mentees who can advocate for the nursing profession in the spaces of informatics, data science, and artificial intelligence, and expand our presence in these areas.

TEACHING

Dr. Macieira’s teaching responsibilities are focused on the undergraduate BSN program and the DNP program as well as mentoring undergraduate and graduate nursing students.

RESEARCH

Dr. Macieira is an expert in nursing informatics, standardized nursing terminologies, and data science, including the application of machine learning and large language model (LLM) techniques. She has applied these methods specifically to examine the impact of palliative nursing care on hospitalized patient outcomes for cognitively impaired older adults through the analyses of nursing data retrieved from electronic health records (EHRs) from diverse health settings. Dr. Macieira has been dedicated to nursing and informatics research focused on populations with life-limiting chronic conditions (e.g., older adults, and critically ill patients) and the development of technology to improve patient care. Dr. Macieira’s program of research is funded by the U.S. National Institutes of Health-National Institute on Aging and focuses on the implementation, for the first time, of the research-data infrastructure that will generate and integrate standardized nursing data for over 2 million adult patients into the statewide OneFlorida+ Clinical Research Network.

SERVICE

Dr. Macieira holds memberships in the American Medical Informatics Association (AMIA), Southern Nursing Research Society, and Sigma Theta Tau International Honor Society of Nursing – Alpha Theta Chapter. Her service activities include serving as an elected member-at-large at the AMIA Nursing Informatics Working Group, and other professional organizations.

Dr. Macieira is an expert in nursing informatics, standardized nursing terminologies, and data science, including the application of machine learning and large language model (LLM) techniques. She has applied these methods specifically to examine the impact of palliative nursing care on hospitalized patient outcomes for cognitively impaired older adults through the analyses of nursing data retrieved from electronic health records (EHRs) from diverse health settings. Dr. Macieira has been dedicated to nursing and informatics research focused on populations with life-limiting chronic conditions (e.g., older adults, and critically ill patients) and the development of technology to improve patient care. Dr. Macieira’s program of research is funded by the U.S. National Institutes of Health-National Institute on Aging and focuses on the implementation, for the first time, of the research-data infrastructure that will generate and integrate standardized nursing data for over 2 million adult patients into the statewide OneFlorida+ Clinical Research Network.

0000-0003-1100-3760

• Artificial Intelligence
• Big data analytics
• Cognitive Performance in Older Adults
• Data Integration
• data science
• electronic health records