From Data to Decision: A Practical Guide for Collaborative Healthcare Analytics

The course covers various aspects of healthcare data, including measuring and documenting data quality, collaborating with clinicians and administrators, improving record-keeping, and understanding the root cause of data quality issues. It also includes opportunities for collaboration with data scientists, statisticians, data engineers, and other technical professionals.

This pathway is aligned with the National Competency Framework for Data Professionals in Health and Care and is aimed at early-career analysts working at Competency Associate Practitioner (L1) and Competency Practitioner (L2) levels. It is ideal for those in roles such as Assistant Analyst, Data Assistant, Junior Analyst (Band 3/4), and Data Analyst, Information Officer (Band 5/6). The course focuses on building skills in communication, teamwork, and aligning analytical work with clinical and organisational goals. Participants will learn effective communication techniques to bridge the gap between technical analysis and clinical decision-making, fostering impactful contributions to healthcare projects.

Reference the specific skills and levels from Data Analyst Competencies.docx that match to the skills taught in the above course. Produce a bullet point list with the competency level and the description, do not summarise by topic area. Only show the matched skills and levels once. 

• BEC4 L1: You understand the benefits of collaborating with others.

• BEC4 L2: You regularly work on problems with colleagues in your team.

• BEC5 L1: You consider the impact of your activities on patients and/or the public.

• BEC5 L2: You understand the impact of your actions on patients and/or the public.