Mr Alex Paget Rodrigues

Lecturer Digital Health/Health Informatics

Health Data Science

a.j.pagetrodrigues@swansea.ac.uk

Cellular Office 1 Person - 102
First Floor
Data Science Building
Singleton Campus

Available For Postgraduate Supervision

About

Alex is a Lecturer and registered Mental Health Nurse who joined the University in 2022.

Alex has a background in working in both NHS and independent healthcare sectors, in a variety of community and inpatient settings as both a practitioner and in service management. His experience of the sense of disconnectedness sometimes experienced by healthcare staff has led to his current role in Health Informatics.

Alex has an interest in the variety of service structures and their respective governance fellow practitioners must work within. The role of digital health and care has become more important to consider, and Alex has a long-term professional interest in increasing the quality of care, patient experience and efficiency of services by means of digital innovation.

Areas Of Expertise

Mental Health
Psychological intervention
Audit and Investigation
Communication theory
Healthcare service improvement
Digital innovations
Electronic Health records
Clinical coding

Career Highlights

Teaching Interests

Alex teaches across a range of modules within the MSc Health Informatics programme.

With experience in Dialectical Behaviour Therapy, Alex has been engaging with the University to be able to integrate some psychological skills into the teaching of students at both undergraduate and postgraduate level.

Taught Modules

PM-344 Capstone Project

The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project, with guidance from an academic supervisor. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through an oral presentation and dissertation on their research findings and conclusions.
PMIM201 Communications and Coding

In this module, students will learn about communication and communication systems. This will include a study of electronic health records and clinical coding systems. Academic skills are developed and enhanced by an introduction to qualitative research methods.
PMIM302 Introductory Analysis of Linked Health Data

This module introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of health care epidemiology with hands-on practical exercises in the implementation of computing solutions. The module provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use anonymised linked health data files in the hands-on exercises. The computing component of the module assumes a basic familiarity with computing syntax used in programs such as SPSS and/or R and methods of basic statistical analysis.
PMIM501 Knowledge Management

In this module, students will study knowledge management in health care environments. The themes covered will include: clinical decision-making; decision support systems; workflow management; data visualization techniques. Students will study experimental research designs.
PMIM601 Undertaking Health Informatics Research

In this module, students will develop their research skills by learning how to write a research proposal and prepare for the research dissertation.

Mr Alex Paget Rodrigues

Email address

About

Areas Of Expertise

Career Highlights

Taught Modules

PM-344 Capstone Project

PMIM201 Communications and Coding

PMIM302 Introductory Analysis of Linked Health Data

PMIM501 Knowledge Management

PMIM601 Undertaking Health Informatics Research