Clinical expertise for AI and healthcare technology
Dr Raham Karimaghaei helps healthcare organisations and technology teams connect new ideas with the needs of patients and clinicians—from defining a useful product to evaluating its evidence and finding its place in the patient pathway.
Medical imaging reveals patterns. Clinical expertise gives them context. His advisory work connects the two, helping teams ask useful questions of healthcare AI.
See the finding in the context of the whole patient.
Conceptual artwork · No patient data or AI performance results.
His clinical perspective
Clinical judgement from the outset
His advisory work draws on the experience of a consultant who interprets complex imaging, performs image-guided surgery and contributes to the evaluation of clinical AI. This gives him a practical understanding of the decisions a tool needs to support, the people expected to use it and the services it needs to work within.
He works with product teams developing healthcare technology and organisations considering how to introduce it. The contribution is clinical: clarifying the problem, testing the assumptions and helping a team make informed decisions about its next step.
Areas of consultancy
From clinical purpose to practical implementation
01
Product development & clinical strategy
A useful healthcare product starts with a well-defined clinical need. He helps teams understand the decision they are trying to support, the intended users and where a product could fit within a clinical pathway.
Clinical use cases, user needs and product requirements
Pathway mapping, usability and clinician feedback
Review of assumptions about how care is delivered
Example outputs A clinical requirements review, pathway map or focused product workshop.
02
Evidence review & clinical evaluation
Performance needs to be understood in the setting where a tool will be used. He helps teams consider which outcomes matter, how an evaluation can answer the clinical question and what the findings do—and do not—establish.
Clinical relevance of evidence and proposed performance measures
Input into testing questions, comparators and reference standards
Interpretation of limitations, uncertainty and applicability to practice
Example outputs An evidence appraisal, evaluation brief or clinical contribution to a testing plan.
03
Procurement & implementation
Introducing AI changes a workflow as well as adding a tool. He advises on clinical suitability and the arrangements needed for its use: who reviews the output, how uncertainty is handled and what the service needs to monitor.
Clinical input into selection and procurement
Workflow integration, user training and escalation routes
Human oversight, governance and review after introduction
Example outputs A clinical appraisal, implementation workshop or pathway review.
04
Clinical pathways & service development
He brings a perspective across emergency medicine, diagnostics and image-guided surgery to the way services are organised. This can help teams examine referral routes, access to expertise and how new approaches might support the wider patient pathway.
Review of clinical workflows and referral pathways
Input into pilots and proposed service changes
Consideration of handovers, clinical responsibility and access
Example outputs A pathway assessment or a structured discussion with clinical and operational teams.
Ways to work together
The right contribution for the question you face
Focused reviews
A defined piece of clinical input into a product, body of evidence or proposed pathway, with an agreed question and written output.
Project & ongoing advice
Clinical support at key stages of development or evaluation, through project meetings, an agreed advisory relationship or advisory-board work.
Workshops & education
Practical sessions for product teams or healthcare organisations on clinical use cases, imaging workflows and the evaluation and introduction of AI.
Starting an engagement
A clear brief and an agreed scope
Start with the clinical problem, the stage your project has reached and the decision you need to make. The contribution required, deliverables, timescales and fees can then be agreed.
His aim is to leave a team with a clearer understanding of its clinical assumptions, the evidence it needs and the practical next steps.
Independent consultancy is separate from his NHS appointment. The scope of work and relevant interests are agreed for each engagement; advisory work does not imply endorsement by his employing Trusts.
Previous collaborations
Experience across healthcare technology and imaging
Selected organisations he has collaborated with in clinical AI and imaging.
