1. Demonstrate a critical awareness and evaluation of your ability to extend your scope of practice and within this your responsiveness to change within an evolving environment, adjusting to different conditions, technologies and situations.

Knowledge and understanding

Learning

Problem solving

Analysis

2. Effectively plan, prioritise and organise your continuing professional development to embed the ability to work collaboratively and at the upper edge of your practice.

Learning

Enquiry

3. Discuss and critically evaluate the role of the biomedical scientist as a registered and regulated autonomous professional working within a multidisciplinary, interprofessional team, reflecting upon own practice and the practice of others to inform that evaluation.

Analysis

Communication

Application

Reflection

Self-Evaluation Reflective Portfolio
A structured portfolio using a recognised reflective model to evaluate current and future scope of practice. Students will reflect upon 10 learning activities within the module to evidence their learning and developing practice.
Learning Outcomes 1, 3


Personal Development Review
20-minute PDR-style discussion focussing upon the planning and achievement of 4 development goals set at the beginning of the module.
Learning Outcome 2

In this module students will develop and demonstrate critical understanding of the current policy, scientific, technical and clinical developments needed to practice biomedical science at an advanced level and within a multidisciplinary, inter-professional context.

Students will evaluate current and emerging principles of analysis and their application in the investigation of diseases and disorders including infertility, cancer, metabolic diseases, and neurodegenerative disease. The use of these techniques as adjuncts for emerging therapeutic options will be discussed with a focus upon the role of biomedical science as a driver for translational research and personalised medicine.

The role of bioinformatics, governance and analysis of clinical data and approaches to artificial intelligence and machine learning within a healthcare context will be critically evaluated, with students equipped to drive discussions on the application of technology and data science within their practice.

Students will understand and evaluate industry-led approaches to the implementation of nascent developments and the integration of modern analytical pipelines including an applied understanding of navigating clinical and scientific requirements alongside systemic constraints and appropriate regulatory processes. Consideration will be given to the role of diagnostics in innovative and alternative care settings, including developing trends within pint of care diagnostics.

This module equips you with the critical knowledge and skills required to practice biomedical science at an advanced level, integrating cutting-edge scientific, technical, and clinical developments.

You will explore and evaluate the latest analytical principles and their application in the investigation of major diseases and disorders, including infertility, cancer, metabolic diseases, and neurodegenerative conditions. The module will also examine how these techniques support emerging therapeutic strategies, with a focus on biomedical science as a key driver of translational research and personalised medicine.

A key component of the module is the role of bioinformatics, governance, and clinical data analysis, as well as the growing impact of artificial intelligence (AI) and machine learning in healthcare. You will critically assess these technologies, gaining the expertise to engage in informed discussions on their application and integration within clinical and research settings.

The module also provides an industry-focused perspective on the implementation of emerging biomedical innovations, equipping students with an applied understanding of modern analytical pipelines and the challenges of integrating new technologies into practice. By the end of this module, students will be prepared to lead the conversation on the future of biomedical science, from research through to clinical application.

The learning will include lectures, group discussion, interactive seminars, including case studies and clinical scenarios for problem solving and decision making, work-based learning/continuous professional development, and laboratory practical sessions.

VLE

Suitable workshop and other rooms for the duration of the course
Access to library
Access to computers

Support from professional/experienced registered biomedical scientist
Support in the preparation of Health & Safety and ethical documentation for the course