Personas represent examples of prospective roles within the healthcare workforce in relation to artificial intelligence (AI).

The following personas represent examples of prospective roles and responsibilities in the healthcare workforce that relate to how artificial intelligence (AI) technologies may potentially be adopted in health settings. The personas specify potential education and learning routes for these roles.

The personas are illustrative and speculative and are not intended to dictate rigid structures and systems, job roles, education routes or capability requirements. The personas are provided to initiate discussions and further exploration of how education and training could be developed and delivered for the workforce.

Creator: Persona 1
Role Clinical scientist: Data scientist and AI - Linchester ICS
AI responsibilities Co-creates AI algorithms with Embedders, Users and industry partners at Nymouth ICS. Takes an active role in the design and validation of AI algorithms during product development and subsequent releases. Evaluates AI in terms of performance and clinical impact. Sets up and maintains pathways for the ongoing monitoring of technologies within the trust.
Education journey Undergraduate degree in physiology followed by a Masters in data science.

Completed clinical scientist training in clinical informatics that incorporated a foundational AI education programme and specialised modules for Creators.

Undertook additional courses at the National School for Healthcare Science in AI design and development within healthcare. Continually updates knowledge through open access digital training courses.
Creator: Persona 2
Role Consultant dermatologist with digital health specialist interest - Nymouth ICS
AI responsibilities Co-creates dermatology AI algorithms with the Embedders, and industry partners at Nymouth ICS. Takes an active role in the clinical user-experience (UX) design of AI products ensuring they are user friendly and add value for clinicians and patients. Assesses and guides how best to integrate AI technology into clinical workflows. Conducts prospective clinical evaluation of AI products comparing them to existing best practice. Analyses the impact of AI outputs on clinician decision making to guide product development. Undertakes clinical validation of AI algorithms alongside Embedders. Evaluates AI in terms of performance and clinical impact.
Education journey Completed medical training through undergraduate degree, foundation programme, core medical training and specialist training.

Worked as senior dermatology registrar in Nymouth ICS.

Undertook foundational AI training through an online self-paced course when AI products were first deployed in the trust dermatology department. This was accompanied by product-specific training led by the ICS Embedder team.

Applied for a year out of training and was seconded to a digital health fellowship with the ICS AI MDT. During this year, gained necessary experience to complete a PG dip in digital health technologies before returning to complete CCT.

Applied for a Digital Clinical Consultant post and continues to work in a combined role split between clinical work and working in the ICS AI MDT. Continually updates knowledge through open access digital training courses.
Embedder: Persona 1
Role Clinical associate specialist in renal medicine and Digital Health - Nymouth ICS
AI responsibilities Works as part of the AI MDT at Nymouth ICS alongside work as a renal clinician. Undertakes clinical evaluation of AI technologies including running prospective clinical trials of AI products. Ensures AI technologies are appropriately integrated into clinical workflows. Conducts ongoing clinical surveillance of live technologies within the trust. Produces and delivers clinician-facing product-specific AI educational material.
Education journey Undergraduate medical degree with modules on digital health technology and clinical use.

During foundation years, had a four-month digital health placement working within an ICS AI MDT. Undertook extended joint digital/clinical medical training programme with time split between clinical work and time spent working within the ICS AI MDT. This included collaborative work with industry partners to develop skills in clinical validation and clinical informatics.

Achieved a set of competencies through this training programme counting towards a postgraduate (PG) diploma in clinical informatics and data science supplemented by additional study on a remote learning platform.
Embedder: Persona 2
Role Clinical Scientist: Clinical informatics - Nymouth ICS
AI responsibilities Works as part of the Embedder team at Nymouth ICS. Undertakes evaluation of AI technologies including running local validation using ICS patient data and clinical trials of AI products. Ensures AI technologies are appropriately integrated into existing software and data systems. Conducts ongoing clinical surveillance of live technologies within the trust.
Education journey Undertook a clinical engineering apprenticeship as a school leaver.Qualified as a Healthcare Science Practitioner via the in-service Practitioner Training Programme (PTP).

Via the equivalence progression in-service training route, completed the Scientific Training Programme (STP) in clinical bioinformatics, including a foundational AI education programme and specialised modules that covered requirements for Embedders.

After training at 2 other trusts, applied for a role within Nymouth ICS. Continually updates training through open access digital training courses to gain the skills required for each AI project in the trust.
User: Persona 1
Role Accident and Emergency triage nurse - Nymouth ICS
AI responsibilities Triages patients, attending Accident and Emergency assisted with an AI triage tool. Weighs up triage information for AI against other clinical information and acts appropriately when the AI assessment contradicts other clinical intuition. Flags safety concerns when AI-derived predictions are inconsistent with clinical expectations.
Education journey Worked as a triage nurse at Nymouth ICS for several years.

Consulted by Embedders about the introduction of a new AI triage technology.

Undertook foundational AI education programme on an online platform.

Worked with ICS AI MDT to design a safe and effective workflow integration for the triage product.

Undertook product-specific education for the triage product lead by the ICS AI MDT and continues to attend refresher sessions as the product is updated.
User: Persona 2
Role Consultant radiologist - Nymouth ICS
AI responsibilities Uses AI tools including tools to triage the reporting worklist and tools to support clinical decision making and imaging interpretation for radiology reporting. Flags safety concerns when AI-derived predictions are inconsistent with clinical expectations. Supports clinical audit for ongoing monitoring of AI tools. Participates in user research lead by product developers to inform improvements and updates to AI products.
Education journey Undergraduate degree in biology followed by 4-year part-time occupational therapy degree programme.

After working for several years as an occupation therapist in the NHS, completed medical training through a Medical Doctor Degree Apprenticeship, foundation programme and radiology specialist training.

As a consultant, undertook foundational AI training through an online self-paced course.

Participated in product-specific training led by the ICS Embedder team when each radiology AI product was introduced.

Undertook ongoing product-specific education as AI products are updated.
User: Persona 3
Role Practice manager - Holpot Hill GP practice
AI responsibilities Manages and analyses insights from AI products used in the practice. Aware of safety reporting processes and back up pathways if the AI fails.
Education journey Worked as a practice manager at Holpot Hill practice for 8 years.

When the PCN decided to collectively implement AI solutions to improve patient appointment booking, all staff were supported to undertake the foundational AI education course using the self-paced online course on the NHS learning platform.

Undertook product specific training on the AI product deployed in the PCN.

Page last reviewed: 19 April 2023
Next review due: 19 April 2024