Personas

Research scientist working in radiotherapy, Artifical Intelligence (AI) implementation, evaluation and development. Experience in medical imaging, medical devices, radiation oncology, statistics, data-science.

Age

38

Location

Liverpool

Experience

Technology expertise: excellent

Digital health tech experience: excellent

Experience with AI systems: excellent

Devices owned/used

• IPhone
• IPad
• Laptop/desktop PC
• Heart rate monitor

Needs

• Time
• Money
• Food

Challenges

• Information Technology (IT)
• Information Governance (IG)
• Lack of clear standards/guidelines
• Engagement of tech companies with ethical AI and evidence generation

Goals

• Enable robust and ethical implementation of algorithms
• Maximise clinical benefit of technology
• Appropriate confidence in algorithms and AI for healthcare

Opinion

“I don’t like tech, but used right it’s a powerful tool.”

Framework domains

6.0 Artificial Intelligence (AI)

6.1 Machine learning and natural language processing

6.2 Using and implementing AI systems

6.3 Evaluating AI systems

Archetypes

• Shapers
• Drivers
• Creators
• Embedders
• Users

GP registrar passionate about creating innovative tech solutions to healthcare problems. Several years' experience working in the healthtech industry both as an AI clinician and as a clinical advisor to start-ups. Interested in how we can prepare the workforce for the introduction of Artificial Intelligence (AI).

Age

27

Location

London

Experience

Technology expertise: Good

Digital health tech experience: Good

Experience with AI systems: Good

Devices owned/used

• Laptop (Mac)
• IPad
• Smartphone
• Smart TV
• Smartwatch
• Kardia device (remote ECG)

Needs

• Support with learning digital health skills while training
• Training pathways that support gaining experience in digital health
• NHS job roles that allow me to use digital health skills

Challenges

• Lack of exposure to data science and product management skills in clinical training so having to develop these skills separately
• Digital health work not recognised as part of training
• No clear career pathway-way to senior digital health roles e.g. Chief Clinical Information Officer

Goals

• Career that combines clinical work and digital health innovation

• Produce innovative tech solutions to healthcare problems to improve the lives of both clinicians and patients

Opinion

• "We need to make it easier for trainees to develop digital health skills and continue clinical training or we'll end up losing the people most willing and able to produce innovative digital solutions from the NHS workforce".

Framework domains

• 2.0 Digital health for patients and the public
• 6.0 Artificial intelligence (AI)
• 6.1 Machine learning and natural language processing
• 6.2 Using and implementing AI systems

Archetypes 

• Drivers
• Creators
• Users

Allied Health Profession (AHP) Information Officer and practicing muscoskeletal physiotherapist within a large London Teaching Hospital. Former Topol Digital Fellow at Health Education England, and developed the UK AHP Digital Competency Framework.

Age

30

Location

London

Experience

Technology expertise: Good

Digital health tech experience: Good

Experience with AI systems: Good

Devices owned

Laptop

iPhone 11

Apple watch 7

Needs

• Good access to workforce data based upon digital competencies
• Systems which share data across organisational boundaries
• A comprehensive info resource database to aid development of clinicians on healthcare technology

Challenges

• Poor understanding of Allied Health Professional (AHP) roles and responsibilities 
• Variability in digital tech use across organisations
• Variability in digital skills and knowledge
• Poor data sharing across systems to enhance patient care

Goals

• Promoting development of a digital pillar of practice for all AHPs
• Enhancing use of pop-health level data to aid clinical pathway development
• To uplift the digital skills and knowledge of all AHPs in the UK

Opinion

• "Currently the healthcare environmnt stands behind other aspects of daily life, where technological enablement is ubiquitous."

Framework domains

• 1.0 Digital transformation
• 2.0 Digital health for patients and the public
• 4.0 Human factors
• 4.1 Management, leadership and planning

Archetypes

• Shapers
• Drivers
• Creators

Dental specialist trainee working in Community Dental Services. Lives with partner in a rented flat. No siblings, family do not live locally. Fit and well. Enjoys going to the gym, outdoor walks and vegan cooking.

Age

31

Location

Liverpool

Experience

Technology expertise: Average

Digital health tech experience: Average

Experience with AI systems: Poor

Devices used

Laptop

iPhone 7

iPad mini

Needs

• Provision of equipment for access to patient records
• Access to training in using digital tech and data management
• Digital leads to support team development

Challenges

• Lack of integration of systems with wider health/social care networks
• Poor technical infrastructure (e.g. no WiFi)
• No e-prescribing
• Paprer-based systems still often used and requiring additional time

Goals

• To support patients with flexible adaptive pathways
• Upskill wider Dental Care Professional (DCP) team
• To access, understand and utilise patient population health data relevant for the region and its needs

Opinion

"We need to upskill the wider Dental Care Professional (DCP) team, so members are able to work to their maximum potential to support delivery of oral health care."

Framework domains

• 1.0 Digital transformation
• 2.0 Digital health for patients and the public
• 2.2 Remote consultation and monitoring
• 3.0 Ethical, legal and regulatory considerations
• 4.0 Human factors
• 5.0 Health data management

Archetypes

• Shapers
• Drivers
• Users

Isobel works as a nurse practitioner in the Emergency Department (ED) in a regional trauma centre, is happily married and husband is also a nurse in ED. She uses a mix of paper and electronic systems to care for her patients and would like to see how these systems can be joined to provide safe care for her patients.

Age

28

Location

Newcastle

Experience

Technology expertise: Below Average

Digital health tech experience: Average

Experience with AI systems: Poor

Devices used

Desktop PC

Smartphone

iPad

Needs

• Confidence in safety of the patients medical record and their care
• Smooth processes so all patient's are seen quickly
• Would like to work with the IT department to improve digital capability in her department

Challenges

• Worries might miss important info when using different (sometimes difficult) systems/processes
• Paper medicine charts will be lost and has to remember what was given - sees hundreds of patients during shift so knows this would be difficult

Goals

• Would like to see all of the patient records in a single electronic system
• Find information needed easily
• Reduce the amount of manual input
• Stop duplication of information and electronically

Opinion

"I need to see all of my patient's medical record in a single place so I can make sure I am making the right decisions for the patients to provide the best care possible."

Framework domains

• 2.0 Digital health for patients and the public
• 2.1 Providing direct care with digital technologies
• 3.0 Ethical, legal & regulatory considerations
• 3.2 Legislation and regulation
• 4.0 Human factors
• 4.1.2 Leadership
• 5.1.1 Data collection and context
• 5.1.2 Data storage
• 5.1.3 Data visualisation and reporting
• 5.1.4 Data processing and analytics
• 5.2 Data/cyber security

Archetypes

• Embedders
• Users