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Professor Álvaro Rocha

Professor Álvaro Rocha

Title: A Health Data Analytics Maturity Model for Hospital Information Systems

Álvaro Rocha is one of the world’s top 1% cited scientists, according to Stanford University (USA) and Elsevier, specializing in information science and information systems. He is a professor at ISEG, University of Lisbon, and a visiting professor at several prestigious universities. He has served in numerous academic and advisory roles globally, contributing to the fields of e-Government, e-Health, and information technology in education.

Abstract:

In the last five decades, maturity models have been introduced as reference frameworks for Information System (IS) management in organizations within different industries. In the healthcare domain, maturity models have also been used to address a wide variety of challenges and the high demand for Hospital IS (HIS) implementations. The increasing volume of data exceeds the ability of health organizations to process it for improving clinical and financial efficiencies and quality of care. It is believed that careful and attentive use of Data Analytics in healthcare can transform data into knowledge that can improve patient outcomes and operational efficiency. A maturity model in this conjuncture, is a way of identifying strengths and weaknesses of the HIS maturity and thus, find a way for improvement and evolution. This speech presents a proposal to measure Hospitals Information Systems maturity regarding Data Analytics. The outcome is a maturity model, which includes six stages of HIS growth and maturity progression.

Dr Kumar Gautam

Dr Kumar Gautam

Founder and President

Quantum Research And Centre of Excellence, New Delhi, India.

The concept of applying a quantized ridge waveguide electromagnetic field interacting with quantum dots (QDs) technology to construct a quantum-controlled gate. The fundamental building blocks of quantum information, qubits, can be manipulated and entangled thanks to the use of quantum-controlled gates in quantum computing. The quantized ridge waveguide electromagnetic fields' special characteristics and the controllable interactions between them and QDs are utilised in the suggested implementation. The study starts with a thorough analysis of the concepts behind quantum dots (QDs), quantum-controlled gates, and quantum computing. It talks about how important it is to create scalable and effective quantum-controlled gates in order to advance the field of quantum computing. In the suggested implementation, a quantized ridge waveguide—a waveguide structure that can quantize photon confinement—is used.

Fernando Moreira

Fernando Moreira

Full Professor, REMIT, IJP, Portucalense University, Portugal

Title: Erudite Illiterates and the Ethics of AI in Education

This presentation explores the intersection between "erudite illiterates" and the ethical challenges of integrating Artificial Intelligence (AI) in education. The term "erudite illiterates" describes highly educated individuals in specific fields who lack critical understanding regarding emerging technologies, such as AI. It explores how this lack of digital literacy can influence AI's ethical adoption and implementation in education. Furthermore, it discusses the moral implications arising from the growing dependence on algorithms and AI systems in the educational process, including algorithmic bias, student privacy, and equity in access to technology. We propose strategies to promote an ethical and reflective approach to integrating AI in education, empowering educators and students to understand and critically question the role of technology in the classroom. By acknowledging the ethical challenges and promoting a culture of digital responsibility, we can ensure that AI is used ethically and equitably to facilitate meaningful learning and human development in 21st-century education.