Job Overview

BMJ Digital Health has an exciting opportunity for a freelance clinical informatics editor to work in the health informatics team producing high-quality computable guideline recommendations across the whole patient and population health journey. You will ensure editorial integrity of our clinical decision support content translated into computable evidence. 

The role will be largely home-based with occasional opportunities to come to our Central London office. For the role, you will need to be available to work on a freelance basis for at least 2 (and ideally up to 5) days per week. Please clearly state in your application how many days a week you are able to work.

Responsibilities

• Editorial related review of our computable guideline recommendations to ensure the correct clinical scope has been covered and that it faithfully captures the clinical intent of the recommendation. 

• Assess the consistency with which we express similar clinical recommendations according to a defined editorial scope. 

• Work with data analysts in the team to implement any needed analysis and subsequent checks in an automated way.

• Liaise with section editors when there is a query about the interpretation of statements in the content. 

Qualifications

• Essential: Medical or pharmacy degree with experience of clinical practice in that field.

Experience

• Experience or demonstrable interest in health informatics and machine interpretability of clinical content - Essential

• Experience devising, creating and updating clinical decision support information for a reputable scientific publisher - Essential

• Experience of a range of clinical decision support (CDS) content sources to inform the clinical scope of clinical recommendations in a CDS tool and other resources to link to - Essential

• Experience working with content databases and clinical terminologies - Desirable

Skills

• Understand the scope, design and clinical application of clinical decision support content in order to undertake the editorial quality assurance of its machine interpretation representation.

• Able to make judgements on priority of clinical statements in our clinical decision support content to inform scope of what we provide as machine interpretable content.

• Understand the flow evidence that has been used to justify clinical statements in clinical decision support content in order to understand the background and interpretation of those statements.

• Strong editorial instincts, meticulous attention to detail and the ability to work under pressure to tight deadlines.

• Understand the use of clinical terminologies to support interoperability of healthcare and patient data.