Overview
AI acts as a transforming force that bridges education and practice , empowers nurses , supports safe and efficient care delivery ,and prepares the nursing workforce for a technology -enhanced health care future.
Our Trainers
prof joyce peter
hod in psychiartic department total 14years experience in nursing fild and phd persuinig .
Modules
Schedule
|
Day & Date |
Duration (time) |
Session |
Topic |
Resource Person |
|
9/2/2025 |
1hr |
= |
Evolution of AI in health professions education |
Speaker |
|
10/2/2025 |
1hr |
= |
Intelligent tutoring systems for nursing students |
Speaker |
|
11/2/2025 |
1hr |
= |
AI-based simulation and virtual reality (VR) for clinical training |
Speaker |
|
12/2/2025 |
1hr |
= |
assessment and automated feedback mechanisms |
Speaker |
|
13/2/2025 |
1hr |
= |
nursing curriculum development & competency mapping |
Speaker |
|
14/2/2025 |
1hr |
= |
. Ethical challenges of using AI in education |
Mr. Anosh |
|
16/2/2025 |
1hr |
= |
Faculty readiness and capacity-building for AI integration |
Mr. Anosh |
|
17/2/2025 |
1hr |
= |
Telehealth and tele-nursing |
Prof Joyce P |
|
18/2/2025 |
1hr |
= |
AI-based clinical decision support systems (CDSS)
|
Prof Joyce P |
|
19/2/2025 |
1hr |
= |
AI in early detection of patient deterioration (predictive analytics)
|
Prof Joyce P |
|
20/2/2025 |
1hr |
= |
Machine learning in diagnosis & triage (e.g., sepsis prediction)
|
Prof Joyce P |
|
21/2/2025 |
1hr |
= |
enhanced electronic health records (EHRs)
|
Mr. Ganesh |
|
23/2/2025 |
1hr |
= |
Nursing workflow automation (documentation, scheduling)
|
Mr. Ganesh |
|
24/2/2025 |
1hr |
= |
Use of AI in medication administration safety
|
Ms. Pooja Soni |
|
25/2/2025 |
1hr |
= |
Robotics in nursing – assistive robots & companion robots |
Ms. Pooja Soni |
Outcomes
CO1: Explain the foundational concepts of Artificial Intelligence (AI) and its relevance in transforming nursing education, clinical practice, and healthcare innovation.
CO2: Apply AI-enabled tools and technologies, (simulation, virtual learning, decision-support systems, robotics) to enhance nursing teaching–learning and clinical problem-solving.
CO3: Analyze the impact of AI on improving patient care, including accuracy of clinical decisions, patient safety, monitoring, documentation, and outcome prediction.
CO4: Evaluate ethical, legal, and professional considerations, involved in AI integration in nursing, such as data privacy, accountability, digital literacy, and patient rights.
CO5: Demonstrate the ability to design and implement innovative nursing strategies, using AI to enhance quality of care, effective practices, and healthcare system efficiency.
CO6: Promote inter-professional collaboration and digital competence by using AI-supported platforms to improve communication, teamwork, and patient-centered care.
CO7: Critically reflect on challenges, limitations, and future trends of AI in nursing education and practice, fostering readiness for digital transformation and innovation.
CO1: Explain the foundational concepts of Artificial Intelligence (AI) and its relevance in transforming nursing education, clinical practice, and healthcare innovation.
CO2: Apply AI-enabled tools and technologies, (simulation, virtual learning, decision-support systems, robotics) to enhance nursing teaching–learning and clinical problem-solving.
CO3: Analyze the impact of AI on improving patient care, including accuracy of clinical decisions, patient safety, monitoring, documentation, and outcome prediction.
CO4: Evaluate ethical, legal, and professional considerations, involved in AI integration in nursing, such as data privacy, accountability, digital literacy, and patient rights.
CO5: Demonstrate the ability to design and implement innovative nursing strategies, using AI to enhance quality of care, effective practices, and healthcare system efficiency.
CO6: Promote inter-professional collaboration and digital competence by using AI-supported platforms to improve communication, teamwork, and patient-centered care.
CO7: Critically reflect on challenges, limitations, and future trends of AI in nursing education and practice, fostering readiness for digital transformation and innovation.
CO1: Explain the foundational concepts of Artificial Intelligence (AI) and its relevance in transforming nursing education, clinical practice, and healthcare innovation.
CO2: Apply AI-enabled tools and technologies, (simulation, virtual learning, decision-support systems, robotics) to enhance nursing teaching–learning and clinical problem-solving.
CO3: Analyze the impact of AI on improving patient care, including accuracy of clinical decisions, patient safety, monitoring, documentation, and outcome prediction.
CO4: Evaluate ethical, legal, and professional considerations, involved in AI integration in nursing, such as data privacy, accountability, digital literacy, and patient rights.
CO5: Demonstrate the ability to design and implement innovative nursing strategies, using AI to enhance quality of care, effective practices, and healthcare system efficiency.
CO6: Promote inter-professional collaboration and digital competence by using AI-supported platforms to improve communication, teamwork, and patient-centered care.
CO7: Critically reflect on challenges, limitations, and future trends of AI in nursing education and practice, fostering readiness for digital transformation and innovation.
