Analytics —
Training activity: 5

Details

Perform a clinical measurement and undertake an appropriate statistical analysis to make recommendations on:

• Techniques for undertaking the clinical measurement
• Selection of device/equipment for making the clinical measurement

Type

Developmental training activity (DTA)

Evidence requirements

Evidence the activity has been undertaken by the trainee​.

Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.

An action plan to implement learning and/or to address skills or knowledge gaps identified.

Reflective practice guidance

The guidance below is provided to support reflection at different time points, providing you with questions to aid you to reflect for this training activity. They are provided for guidance and should not be considered as a mandatory checklist. Trainees should not be expected to provide answers to each of the guidance questions listed.

Before action

What are the intended outcomes of the training activity?

• Have you reviewed the specific learning outcomes to ensure you are prepared to explore and explain the system relationships between the chosen device, the measurement technique, and the clinical environment?
• How do you plan to demonstrate that your selection of statistical models follows best practice guidelines for clinical and operational datasets?
• What essential knowledge have you identified as necessary regarding the technical specifications of the measurement devices and the National Standards or SOPs governing these clinical measurements before you begin?
• Have you considered how your final report will articulate premises, assumptions, and caveats, ensuring your findings are accessible to multidisciplinary colleagues?

What do you anticipate you will learn from the experience?

• What specific insights do you hope to gain regarding how the selection of equipment directly dictates the quality and reliability of the resulting clinical data?
• In what ways do you expect this activity to improve your proficiency in synthesising complex quantitative findings into clear recommendations for service improvement?
• Think about what you already know regarding clinical measurements; which aspects of the statistical interpretation do you anticipate will be the most complex to explain to non-specialists?

What actions will you take in preparation for the experience?

• What specific points have you prepared to discuss with your Training Officer or measurement specialist to gain clarity on the expected depth of statistical critique required for this task?
• Which peer-reviewed literature or manufacturer technical files have you selected to review to ensure your device recommendations are robust and evidence-based?
• How have you identified your feelings about embarking on this activity, considering the professional responsibility of making equipment recommendations that impact patient care?

In action

What are you doing?

• How are you currently approaching the clinical measurement, and what is the technical rationale for your chosen sequence of steps?
• What specific logic-based decisions are you making right now regarding the application of statistical filters or the treatment of outliers in your dataset?
• Which parts of the measurement process feel intuitive to you, and which parts—such as identifying system interdependencies—require more conscious, focused effort?

How are you progressing with the activity?

• How effective are your current actions in capturing data that is robust enough to support a definitive recommendation on measurement technique?
• What technical or clinical challenges are you facing in this moment—such as device interference or data noise—and what are you learning from these as they unfold?
• In what ways are you connecting these live results to your existing knowledge of the clinical care pathway and the performance requirements of the department?

How are you adapting to the situation?

• Are there alternative analytical approaches you should consider if the initial results do not align with expected clinical values or technical benchmarks?
• What immediate support or guidance do you need from a senior colleague right now to resolve an interpretative ambiguity in your statistical findings?
• How are you ensuring that your real-time adjustments remain strictly within your professional scope of practice while meeting the needs of referring multidisciplinary colleagues?

On action

What did you notice?

• How would you summarise the key points of the experience, specifically regarding the performance of the chosen device versus the alternative measurement techniques?
• What specific technical details or data interactions did you notice were most significant in influencing your final recommendations?
• Which ‘reflect-in-action’ moments did you notice where you had to adapt, such as re-verifying an assumption because of an unexpected statistical result?

What did you learn from the activity?

• What specific skills did you develop regarding your ability to select, perform, and critique statistical interpretations on clinical datasets?
• In what ways did your real-time decisions—such as adjusting a measurement parameter for better accuracy—influence the final quality of your report?
• How does the experience of building this integrated data narrative relate to the requirements for your future practice as a Clinical Scientist?

What will you take from the experience moving forward?

• What specific areas for continued development in statistical methods or technical troubleshooting have you identified as a result of this activity?
• How can you apply the learning from this measurement task (e.g., a more systematic approach to articulating conclusions and caveats) to your routine practice?
• What are the specific ‘next steps’ you will now take, such as mastering new analysis software or reviewing national equipment guidelines, to support the assimilation of what you have learned?

Beyond action

Have you revisited the experiences?

• How have you re-evaluated your initial device recommendations in light of subsequent learning regarding system performance or multidisciplinary feedback?
• Comparing this experience with your Observed Training Activities (OTAs), what specific observable behaviours in professional communication and technical precision have you now fully assimilated?
• In what ways has discussions with peers regarding your statistical strategies changed your view on how to navigate complex or discordant clinical data?

How have these experiences impacted upon your current practice?

• How has this clinical measurement activity supported your proficiency in wider areas, such as writing interpretative reports or providing technical advice to the MDT?
• In what ways has the cumulative learning from this task supported your preparation for ‘in-person’ assessments, such as Case-Based Discussions where you must justify your technical choices?
• Can you identify specific instances where your understanding of statistical caveats has influenced your current prioritisation of results or your approach to quality control?

How might these experiences contribute towards your future practice?

• What transferable skills in system exploration and diagnostic planning have you developed that will allow you to evaluate and adopt new measurement technologies in the future?
• How will your mastery of synthesising technical findings for clinical use help you contribute to future service improvements or innovations as a Clinical Scientist?
• What clear actions have you identified for your continued professional development to ensure you remain competent in delivering high-quality, safe measurement services as guidelines evolve?

Relevant learning outcomes

#	Outcome
# 1	Outcome Explore and explain relationships between elements in a system.
# 2	Outcome Select, perform and critique statistical analyses and interpretations on clinical and operational datasets.
# 3	Outcome Synthesise and present statistical analyses in clinical or operational reports, articulating premises, assumptions, conclusions and caveats, and communicate findings to multidisciplinary colleagues.