About PU’s Criticonn
An international platform advancing predictive, critical, and personalised healthcare through nursing-led digital innovation and interdisciplinary excellence.
Message from the Vice President
“It gives me immense pleasure to welcome all distinguished delegates, eminent speakers, researchers, healthcare professionals, academicians, innovators, and students to the International Conference on Smart Nursing and Healthcare Innovation, centered on the theme: ‘Smart nursing and healthcare innovation advancing predictive, critical and personalised care through AI, digital technologies and nursing-led multidisciplinary innovation’.”
“Healthcare is undergoing a remarkable transformation driven by advances in artificial intelligence, digital health technologies, predictive analytics, clinical decision-support systems, and multidisciplinary innovation. Within this rapidly evolving environment, nursing professionals have an increasingly important role in translating technological advancement into compassionate, evidence-based, safe, and personalised patient care.”
“The Pre-Conference Workshop on ‘Smart nursing and digital healthcare: from early detection to critical care and clinical decision-making’ will further provide participants with opportunities to explore contemporary approaches to early detection, patient monitoring, critical care, clinical data interpretation, and technology-supported decision-making.”
About Parul University
Parul University, located in Vadodara, Gujarat, is a leading multidisciplinary private university committed to excellence in education, research, innovation, entrepreneurship, healthcare, technology, and global engagement. Accredited with the prestigious NAAC A++ Grade and recognised by the UGC as a Category-1 University with Graded Autonomy, the University has also been notified as a Centre of Excellence by the Government of Gujarat.
Under the leadership of Dr. Devanshu Patel, President, Parul University serves over 70,000+ students, including 6,000+ international students from 75+ countries. Ranked in the Top 50 in India for Innovation (NIRF 2025) and holding 4/4 Stars from MoE's IIC.
Faculty of Nursing
The Faculty of Nursing, Parul University, is committed to excellence in nursing education, clinical practice, research, and innovation, preparing competent and globally responsive nursing professionals. Offering programmes from ANM and GNM to B.Sc. Nursing, Post Basic B.Sc. Nursing, M.Sc. Nursing, and Ph.D. education.
Clinical education is backed by the comprehensive 1,100-bedded Parul Sevashram Hospital, the Pragya Advanced Skills & Simulation Center, and active community outreach programmes, fostering clinical excellence and technology integration.
Conference & Workshop Objectives
Equipping nurses and healthcare leaders with actionable competencies in artificial intelligence, clinical surveillance, and patient-centred care models.
Main Conference Objectives
- 1.Advance participants’ understanding of emerging trends in smart nursing, digital health, artificial intelligence, predictive analytics, and technology-enabled healthcare.
- 2.Strengthen competencies in early detection, clinical surveillance, critical care, remote monitoring, and technology-supported clinical decision-making for safer and more effective patient care.
- 3.Promote the integration of nursing science, clinical expertise, engineering, data science, and digital technologies in developing innovative and patient-centred healthcare solutions.
- 4.Encourage the application of evidence-based, predictive, personalised, and digitally enabled care approaches across acute, critical, chronic, and community healthcare settings.
- 5.Foster interdisciplinary and international collaboration in research, innovation, and responsible digital healthcare, with emphasis on patient safety, ethics, privacy, cybersecurity, and effective translation into clinical practice.
Pre-Conference Workshop Objectives
- 1.Develop knowledge and practical understanding of smart healthcare technologies for early detection, patient monitoring, and clinical decision-making.
- 2.Strengthen skills in integrating and interpreting EHR, laboratory, vital-sign, and clinical data for comprehensive patient assessment.
- 3.Provide hands-on exposure to AI-assisted imaging and intelligent diagnostic technologies that support bedside nursing and clinical decision-making.
- 4.Develop practical skills in the application of wearable devices, sensors, IoT, and smart monitoring systems in acute and critical care.
- 5.Strengthen competencies in the early recognition of clinical deterioration, interpretation of alerts, and timely escalation of care.
- 6.Integrate technology-generated information with nursing assessment, clinical reasoning, and professional judgment to support safe, evidence-based, and person-centred care.