Training activity information
Details
Complete data integrity checks for a healthcare dataset, report the findings and recommendations for actions
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.
Considerations
- Data check sums
- Appropriate and complete data sets for intended application
- Data cleansing and pre-processing
- Impact of incomplete or poor-quality data
- Local protocols or standard operating procedures
- Impact of compression and decompression activities e.g. lossy algorithms
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 do you need to know before performing these checks? This includes understanding the dataset, appropriate data integrity check methods, and reporting requirements.
- What do you anticipate you will learn from this experience? Consider developing skills in identifying data quality issues, using appropriate checking techniques, and formulating clear recommendations. Reflect on your current understanding of data quality and data analysis.
- What actions will you take in preparation for this experience? Will you research different data integrity check methods? Will you clarify the expected format for reporting findings with your training officer? Consider potential challenges in identifying errors or formulating effective recommendations and how you might address them. Identify how you feel about embarking on this training activity.
In action
- When performing the data integrity checks, what specific techniques or tools are you employing? Why are you choosing these particular methods?
- What decisions are you making about the types of integrity issues to look for and the thresholds for concern?
- Which data integrity checks feel more routine, and where are you having to apply more critical thinking to interpret the results?
- How successful do you believe your current checks are in identifying potential data quality problems? What challenges are you facing in executing the checks or analysing the findings?
- What are you learning about the quality and potential inconsistencies within this healthcare dataset as you work? How does this relate to your understanding of data governance and data quality management?
- If you identify data integrity issues, what alternative checks could you perform to verify the findings? Would discussing these issues with data owners or analysts be beneficial now? Are the recommendations you are considering practical and appropriate?
On action
- Describe the healthcare dataset you examined, the data integrity checks you performed, your key findings, and the recommendations you made.
- What different types of data integrity issues did you identify? How did you develop your skills in performing data integrity checks and analysing the results? What considerations did you take into account when formulating your recommendations? Did you need to adjust your approach to data integrity checks based on the characteristics of the dataset?
- What specific data integrity check techniques do you want to learn more about? How will you apply this experience to future tasks involving healthcare datasets? What are your next steps in improving your ability to identify and address data integrity issues? Do you require any further guidance or tools for performing data integrity checks?
Beyond action
- Have you revisited the dataset and the integrity checks you performed? What did you learn about potential data integrity issues in healthcare datasets? Have you encountered similar issues since?
- How has this activity influenced your approach to working with healthcare data and ensuring its quality and reliability in your current practice? Have the skills in data analysis and attention to detail been useful?
- What transferable skills, such as data analysis and attention to detail, did you develop? What further learning in data integrity techniques would be beneficial?
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 5 |
Outcome
Confirm the integrity of clinical datasets. |